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Information TheoryQuantum Information·Captain: wurtle

Classical capacity and entropy inequalities for generalized amplitude dampingResearch Paper

Motivation: the classical capacity of a thermal qubit channel

A quantum channel models how a physical system, used to carry information, is corrupted by its environment. The classical capacity of a channel is the largest rate, in bits per use, at which classical messages can be sent with vanishing error when the sender may encode into arbitrary — possibly entangled — states of many uses and the receiver may measure all outputs jointly. The Holevo–Schumacher–Westmoreland coding theorem (Holevo 1998; Schumacher–Westmoreland 1997) expresses this capacity as a regularized limit of the Holevo information over ever larger blocks of uses. Since Holevo information is not additive in general (Hastings 2009), computing the capacity of any specific channel requires a channel-specific additivity argument, and exact formulas are known only for a few families.

Generalized amplitude damping is the standard model of a qubit relaxing toward a thermal state: it loses or gains an excitation with probabilities set by a damping strength γ\gammaγ and a stationary excited population ν\nuν, and its coherences decay. It is one of the basic noise models of quantum information theory.

Background timeline

  • 1996–1998 — Coding theorems for pure and mixed signals establish the regularized capacity formula (Hausladen et al. 1996; Schumacher–Westmoreland 1997; Holevo 1998).
  • 2002 — Additivity for unital qubit channels (King 2002) and for entanglement-breaking channels (Shor 2002) settles some parameter regions of the family; Bennett, Shor, Smolin and Thapliyal describe the two-signal optimization for ordinary amplitude damping (BSST 2002).
  • 2005 — Giovannetti and Fazio derive the optimized one-use expression for ordinary amplitude damping (Giovannetti–Fazio 2005); Berry studies qubit channels achieving capacity with two states (Berry 2005).
  • 2007 — Hou and Fang characterize the one-use Holevo optimum of the generalized channel (Hou–Fang 2007).
  • 2009 — Hastings shows that Holevo information is not additive in general (Hastings 2009).
  • 2018 — Leditzky, Kaur, Datta and Wilde note that the unrestricted classical capacity of amplitude damping had not been determined (LKDW 2018).
  • 2020 — Khatri, Sharma and Wilde collect upper bounds for the generalized family (KSW 2020).
  • 2026 — Tang, Zhu, Bai and Wang prove additivity for qubit channels with a pure output, including ordinary amplitude damping (arXiv:2609.28592); Fang gives a close converse bound for the generalized family (arXiv:2609.14621).
  • 2026 — An OpenAI preprint, Classical capacity and entropy inequalities for generalized amplitude damping (OpenAI Math Release, September 24, 2026), claims the capacity for all (γ,ν)∈[0,1]2(\gamma,\nu)\in[0,1]^2(γ,ν)∈[0,1]2. The preprint has not been peer reviewed, and its results are not formally verified.

Setting

For γ,ν∈[0,1]\gamma,\nu\in[0,1]γ,ν∈[0,1] the generalized amplitude-damping channel acts on a qubit density matrix by

Aγ,ν(1−qzzˉq)=(1−t1−γ z1−γ zˉt),t=(1−γ)q+γν,\mathcal A_{\gamma,\nu}\begin{pmatrix}1-q&z\\\bar z&q\end{pmatrix}=\begin{pmatrix}1-t&\sqrt{1-\gamma}\,z\\\sqrt{1-\gamma}\,\bar z&t\end{pmatrix},\qquad t=(1-\gamma)q+\gamma\nu,Aγ,ν​(1−qzˉ​zq​)=(1−t1−γ​zˉ​1−γ​zt​),t=(1−γ)q+γν,

and nnn independent uses act as Aγ,ν⊗n\mathcal A_{\gamma,\nu}^{\otimes n}Aγ,ν⊗n​ on 2n×2n2^n\times2^n2n×2n matrices. With S(P)=−Tr⁡Pln⁡PS(P)=-\operatorname{Tr}P\ln PS(P)=−TrPlnP, the Holevo information in bits is

χ(N)=1ln⁡2sup⁡{qa,ρa}{S(∑aqaN(ρa))−∑aqaS(N(ρa))},\chi(\mathcal N)=\frac1{\ln2}\sup_{\{q_a,\rho_a\}}\Bigl\{S\Bigl(\sum_aq_a\mathcal N(\rho_a)\Bigr)-\sum_aq_aS(\mathcal N(\rho_a))\Bigr\},χ(N)=ln21​{qa​,ρa​}sup​{S(a∑​qa​N(ρa​))−a∑​qa​S(N(ρa​))},

over all finite ensembles of input states (entangled across uses when N=A⊗n\mathcal N=\mathcal A^{\otimes n}N=A⊗n). The classical capacity C(N)C(\mathcal N)C(N) is the supremum of rates RRR for which there are nnn-use codes — arbitrary input states for each of MnM_nMn​ equiprobable messages and one joint measurement of all outputs — with average error tending to zero and lim inf⁡nn−1log⁡2Mn≥R\liminf_n n^{-1}\log_2M_n\ge Rliminfn​n−1log2​Mn​≥R; there is no shared entanglement or feedback. Write hhh for binary entropy in nats, g(u)=h((1+1−4u)/2)g(u)=h\bigl((1+\sqrt{1-4u})/2\bigr)g(u)=h((1+1−4u​)/2) and vγ,ν(p)=γν(1−ν)+γ(1−γ)(p−ν)2v_{\gamma,\nu}(p)=\gamma\nu(1-\nu)+\gamma(1-\gamma)(p-\nu)^2vγ,ν​(p)=γν(1−ν)+γ(1−γ)(p−ν)2.

Formalization targets

Goal: additivity and capacity formula (Theorem 1.1)

For all γ,ν∈[0,1]\gamma,\nu\in[0,1]γ,ν∈[0,1] and every n≥1n\ge1n≥1,

χ(Aγ,ν⊗n)=n χ(Aγ,ν)=nln⁡2max⁡0≤p≤1{h((1−γ)p+γν)−g(vγ,ν(p))},\chi(\mathcal A_{\gamma,\nu}^{\otimes n})=n\,\chi(\mathcal A_{\gamma,\nu})=\frac n{\ln 2}\max_{0\le p\le1}\bigl\{h((1-\gamma)p+\gamma\nu)-g(v_{\gamma,\nu}(p))\bigr\},χ(Aγ,ν⊗n​)=nχ(Aγ,ν​)=ln2n​0≤p≤1max​{h((1−γ)p+γν)−g(vγ,ν​(p))},

the maximum is attained, C(Aγ,ν)=χ(Aγ,ν)C(\mathcal A_{\gamma,\nu})=\chi(\mathcal A_{\gamma,\nu})C(Aγ,ν​)=χ(Aγ,ν​), and for every maximizer ppp the equiprobable independent products of the two signals ϕ±=1−p ∣0⟩±p ∣1⟩\phi_\pm=\sqrt{1-p}\,|0\rangle\pm\sqrt p\,|1\rangleϕ±​=1−p​∣0⟩±p​∣1⟩ attain χ(Aγ,ν⊗n)\chi(\mathcal A_{\gamma,\nu}^{\otimes n})χ(Aγ,ν⊗n​) at every block length. The goal is published on the platform with status Open.

Significance

The result itself. The theorem gives a closed one-variable formula for the classical capacity of every generalized amplitude-damping channel, removing the regularization over block lengths: entangled input signals across uses give no advantage, and a simple product code with two signals per use is optimal. This settles the ordinary amplitude-damping case listed as open by LKDW 2018 and extends beyond the pure-output criterion of Tang et al. to the thermal regime, where the channel has no pure output. The source further proves additivity of Holevo capacity, minimum output entropy and classical capacity when the channel is used in parallel with any finite-dimensional partner channel (Corollary 1.2); that corollary is not part of this goal.

Formalizing it. The goal ties together an operational capacity (codes and error probabilities), an entropic quantity (a supremum over unrestricted ensembles on 2n2^n2n-dimensional matrices), and a scalar optimization. A machine-checked proof would certify both the matrix entropy inequality at the heart of the argument and the converse direction of the coding theorem. Mathlib does not currently contain quantum channel capacity theory, so the definitions here are new infrastructure.

Difficulty

Optimizing a single use gives a lower bound on capacity; the difficulty is the matching upper bound for all nnn simultaneously, where an input may be entangled across all uses. Holevo additivity is false for general channels, so no abstract argument applies, and for interior thermal occupation 0<ν<10<\nu<10<ν<1 with γ>0\gamma>0γ>0 the channel has no pure output, which rules out the recent pure-output criterion. The proof needs a lower bound on the entropy of the output of an arbitrary entangled block input, i.e. a matrix entropy inequality for 2×22\times22×2 block-structured states that is tight on product inputs. Identifying the capacity with the regularized Holevo quantity also requires the full coding theorem and a Fano-type converse.

Formalization scope

  • Matrices are indexed by Fin n → Fin 2; the nnn-use channel is given by tensor products of the four standard Kraus operators of generalized amplitude damping, which reproduce the displayed action exactly.
  • Entropy is Tr (cfc negMulLog P) (nats, 0ln⁡0=00\ln0=00ln0=0); Holevo values are divided by ln⁡2\ln 2ln2 (bits). holevo γ ν n is the sSup over all finite ensembles of arbitrary 2n2^n2n-dimensional states, with no product or purity restriction.
  • capacity is the sSup of operationally achievable rates: codes with any positive number of messages, arbitrary state encodings, an arbitrary POVM decoder, average error tending to 000, and the liminf rate condition. It is defined operationally, not by regularization, so the identity C=χC=\chiC=χ includes the coding theorem.
  • The scalar objective uses Real.binEntropy (nats); the maximizer is over p∈[0,1]p\in[0,1]p∈[0,1]. The final clause also asserts that the phase-product signals are states.
  • Parameters range over the closed square [0,1]2[0,1]^2[0,1]2, including boundary cases (identity channel at γ=0\gamma=0γ=0, full replacement at γ=1\gamma=1γ=1).
  • Needed infrastructure: matrix entropy and its concavity, CPTP maps and Kraus representations, Holevo's bound, Fano's inequality, the HSW coding theorem for finite ensembles, and Fekete-type superadditivity. These are reusable for any quantum Shannon-theory mission.

Selected references

  • P. Hausladen, R. Jozsa, B. Schumacher, M. Westmoreland, W. K. Wootters, Classical information capacity of a quantum channel, Phys. Rev. A 54 (1996), 1869–1876. https://doi.org/10.1103/PhysRevA.54.1869
  • B. Schumacher and M. D. Westmoreland, Sending classical information via noisy quantum channels, Phys. Rev. A 56 (1997), 131–138. https://doi.org/10.1103/PhysRevA.56.131
  • A. S. Holevo, The capacity of the quantum channel with general signal states, IEEE Trans. Inf. Theory 44 (1998), 269–273. https://doi.org/10.1109/18.651037
  • C. King, Additivity for unital qubit channels, J. Math. Phys. 43 (2002), 4641–4653. https://doi.org/10.1063/1.1500791
  • P. W. Shor, Additivity of the classical capacity of entanglement-breaking quantum channels, J. Math. Phys. 43 (2002), 4334–4340. https://doi.org/10.1063/1.1498000
  • C. H. Bennett, P. W. Shor, J. A. Smolin, A. V. Thapliyal, Entanglement-assisted capacity of a quantum channel and the reverse Shannon theorem, IEEE Trans. Inf. Theory 48 (2002), 2637–2655. https://doi.org/10.1109/TIT.2002.802612
  • V. Giovannetti and R. Fazio, Information-capacity description of spin-chain correlations, Phys. Rev. A 71 (2005), 032314. https://doi.org/10.1103/PhysRevA.71.032314
  • D. W. Berry, Qubit channels that achieve capacity with two states, Phys. Rev. A 71 (2005), 032334. https://doi.org/10.1103/PhysRevA.71.032334
  • L.-Z. Hou and M.-F. Fang, The Holevo capacity of a generalized amplitude-damping channel, Chinese Physics 16 (2007), 1843–1847. https://doi.org/10.1088/1009-1963/16/7/006
  • M. B. Hastings, Superadditivity of communication capacity using entangled inputs, Nature Physics 5 (2009), 255–257. https://doi.org/10.1038/nphys1224
  • F. Leditzky, E. Kaur, N. Datta, M. M. Wilde, Approaches for approximate additivity of the Holevo information of quantum channels, Phys. Rev. A 97 (2018), 012332. https://doi.org/10.1103/PhysRevA.97.012332
  • S. Khatri, K. Sharma, M. M. Wilde, Information-theoretic aspects of the generalized amplitude-damping channel, Phys. Rev. A 102 (2020), 012401. https://doi.org/10.1103/PhysRevA.102.012401
  • Z. Tang, C. Zhu, G. Bai, X. Wang, Classical capacity and entanglement cost of the amplitude damping channel, arXiv:2609.28592 (2026). https://arxiv.org/abs/2609.28592v1
  • K. Fang, A pretty-tight converse on the classical capacity of generalized amplitude-damping channels, arXiv:2609.14621 (2026). https://arxiv.org/abs/2609.14621v1
  • OpenAI, Classical capacity and entropy inequalities for generalized amplitude damping, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 3). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Classical-capacity-and-entropy-inequalities-for-generalized-amplitude-damping-September-24-2026/paper.pdf
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Complexity TheoryQuantum InformationTheoretical Computer Science·Captain: wurtle

Product-projection localization and the QAC0 parity lower boundResearch Paper

Motivation

Parity, PARITYn(x)=x1⊕⋯⊕xn\mathrm{PARITY}_n(x)=x_1\oplus\cdots\oplus x_nPARITYn​(x)=x1​⊕⋯⊕xn​, is the standard test of whether a shallow circuit can aggregate information from all of its inputs. Classically, constant-depth circuits with unbounded fan-in AND/OR gates (AC0\mathsf{AC}^0AC0) cannot compute it: Furst, Saxe and Sipser (Math. Systems Theory 1984) and Ajtai (APAL 1983) proved superpolynomial lower bounds, and Håstad's switching lemma gave nearly optimal exponential ones (STOC 1986). The quantum analogue QAC0\mathsf{QAC}^0QAC0 allows arbitrary one-qubit unitaries and Toffoli gates of unbounded arity, but gates in one layer must act on disjoint qubits, so a wire cannot control many simultaneous gates. Moore (arXiv:quant-ph/9903046, 1999) showed that coherent parity and quantum fanout are equivalent under Hadamard conjugation, and conjectured that neither is in QAC0\mathsf{QAC}^0QAC0. Because fanout makes constant-depth quantum circuits very powerful (Høyer–Špalek, ToC 2005), whether PARITY∉QAC0\mathrm{PARITY}\notin\mathsf{QAC}^0PARITY∈/QAC0 has been a central question about shallow quantum computation.

Background

  • 1999 — Moore introduces the quantum circuit classes and the parity/fanout conjecture.
  • 2002 — Green, Homer, Moore and Pollett develop quantum counting classes and modular-gate equivalences (QIC 2002).
  • 2006 — Fang, Fenner, Green, Homer and Zhang: depth Ω(log⁡(n/(a+1)))\Omega(\log(n/(a+1)))Ω(log(n/(a+1))) for exact clean parity with aaa ancillas (QIC 2006).
  • 2020–2021 — Padé, Fenner, Grier and Thierauf rule out exact clean parity at entangling depth two (arXiv:2005.12169); Rosenthal bounds approximate parity unitaries (ITCS 2021).
  • 2024–2025 — Pauli-spectrum lower bounds with restricted ancillas (Nadimpalli, Parham, Vasconcelos, Yuen, STOC 2024); no fixed parity advantage with barely superlinear ancillas (Anshu, Dong, Ou, Yao, STOC 2025), extended by Dong, Ou and Yao (arXiv:2510.00593).
  • 2026 — Joshi, Tal, Vasconcelos and Wright: exact parity lower bounds at entangling depth three without size restriction (STOC 2026); Gretta, Gupta and Joshi relate the question to Fourier concentration (arXiv:2604.02793).
  • September 2026 — Two OpenAI preprints claim the lower bound for every fixed depth and every polynomial number of qubits, by independent arguments: product-projection localization (source) and regular trajectories with pruning (source).

This mission asks for a formal proof of the parity lower bound stated as Theorem 1 of an OpenAI preprint dated September 24, 2026 (source). The preprint has not been peer reviewed and its claims have not been independently verified; on the platform the Lean goal is open.

Setting

A circuit acts on NNN qubits, with state space (C2)⊗N(\mathbb C^2)^{\otimes N}(C2)⊗N and computational basis indexed by bit strings y∈{0,1}Ny\in\{0,1\}^Ny∈{0,1}N. The allowed gates are arbitrary one-qubit unitaries and generalized Toffoli gates ∣z1,…,zt,b⟩↦∣z1,…,zt,b⊕z1⋯zt⟩|z_1,\dots,z_t,b\rangle\mapsto|z_1,\dots,z_t,b\oplus z_1\cdots z_t\rangle∣z1​,…,zt​,b⟩↦∣z1​,…,zt​,b⊕z1​⋯zt​⟩ on distinct control and target qubits. A layer is a set of gates with pairwise disjoint supports, and a depth-ddd circuit is a product W=Ld⋯L1W=L_d\cdots L_1W=Ld​⋯L1​ of at most ddd layers. Gates and their complex entries may depend on nnn but not on the input.

On input x∈{0,1}nx\in\{0,1\}^nx∈{0,1}n with n≤Nn\le Nn≤N, the circuit starts in ∣x⟩⊗∣0⟩⊗(N−n)|x\rangle\otimes|0\rangle^{\otimes(N-n)}∣x⟩⊗∣0⟩⊗(N−n). One designated output qubit is measured in the computational basis; all other qubits are discarded in arbitrary states, and the input need not be preserved. The success probability on xxx is

Pr⁡[output=PARITYn(x)]=∑y: yout=PARITYn(x)∣⟨y∣W∣x,0⟩∣2.\Pr[\text{output}=\mathrm{PARITY}_n(x)]=\sum_{y:\ y_{\mathrm{out}}=\mathrm{PARITY}_n(x)}\bigl|\langle y|W|x,0\rangle\bigr|^2 .Pr[output=PARITYn​(x)]=y: yout​=PARITYn​(x)∑​​⟨y∣W∣x,0⟩​2.

A circuit computes parity with worst-case advantage ε\varepsilonε if this probability is at least 1/2+ε1/2+\varepsilon1/2+ε for every xxx.

Formalization targets

Goal: the parity lower bound (Theorem 1, p. 1)

Fix an integer d≥0d\ge0d≥0, a real c≥1c\ge1c≥1 and 0<ε≤1/20<\varepsilon\le1/20<ε≤1/2. Then for all sufficiently large nnn, for every NNN with n≤N≤ncn\le N\le n^cn≤N≤nc, every circuit of depth at most ddd on NNN qubits and every choice of output qubit, there is an input x∈{0,1}nx\in\{0,1\}^nx∈{0,1}n with

Pr⁡[output=PARITYn(x)]<12+ε.\Pr[\text{output}=\mathrm{PARITY}_n(x)]<\tfrac12+\varepsilon .Pr[output=PARITYn​(x)]<21​+ε.

With ε=1/6\varepsilon=1/6ε=1/6 this is the usual bounded-error statement PARITY∉QAC0\mathrm{PARITY}\notin\mathsf{QAC}^0PARITY∈/QAC0 in the measured-output model.

Significance

The result itself. It answers Moore's question for every fixed depth and every polynomial bound on the total number of qubits, with arbitrary final garbage and any fixed positive advantage, whereas earlier results fixed the entangling depth or restricted the number of ancillas. Through Hadamard conjugation it also excludes constant-depth polynomial-size coherent fanout. The preprint derives further consequences (Section 7): state-preparation obstructions (Corollary 8, p. 14), a qualitative quantum LMN-type Fourier tail bound (Corollary 9, p. 16), and, via reductions of Xu and Li, lower bounds for majority and other symmetric functions (Corollaries 10–11, pp. 17–18). The structural Theorem 2 (p. 5), localization of conjugated product projections, is of independent interest.

Formalizing it. The statement is elementary (finite matrices, Born probabilities) while the proof is a two-level induction with polynomial approximation, so a formal proof would give a fully checked circuit lower bound in quantum complexity, an area with few machine-checked results. A companion OpenAI preprint gives an independent proof by regular trajectories and pruning.

Difficulty

Light-cone arguments fail at once: a single Toffoli gate may touch every qubit, so after one layer an output can depend on all inputs. Spectral and Pauli-weight methods previously needed ancilla bounds such as O~(n1+2−d)\tilde O(n^{1+2^{-d}})O~(n1+2−d). The preprint's route controls transitions from a product condition to states with many mismatches, ∥[M≥Nt] U [D=0] U† [M=0]∥≤e−Ns\bigl\|[M\ge N^t]\,U\,[D=0]\,U^\dagger\,[M=0]\bigr\|\le e^{-N^s}​[M≥Nt]U[D=0]U†[M=0]​≤e−Ns for all fixed 0≤s<t0\le s<t0≤s<t (Theorem 2, p. 5). The obstacle is that reflection expansions cost exponentially in the projection's support, and low-degree polynomial surrogates for a product projection are accurate only at low mismatch counts; the uncontrolled high-count error is handled by a second induction on thresholds that exchanges the roles of the two counts.

Formalization scope

  • Word N := Fin N → Fin 2; operators are complex matrices indexed by words. Gate.local q u is a one-qubit unitary tensored with identities; Gate.toffoli controls target is the permutation matrix flipping the target when all controls are 111 (an empty control set gives a NOT gate, itself a one-qubit unitary).
  • PhysicalLayer N is a list of gates whose supports are pairwise disjoint; its matrix is the product of the gate matrices. physicalCircuitMatrix layers applies the layers in list order (rightmost matrix acts first).
  • inputWord x pads xxx with zeros; successProbability W out x sums ∣Wy,(x,0)∣2|W_{y,(x,0)}|^2∣Wy,(x,0)​∣2 over all yyy whose output bit equals the parity of xxx, so final garbage is unrestricted.
  • The output qubit out : Fin N is arbitrary, including an input qubit. The quantifier order is: depth, size bound and advantage fixed first; then a threshold n0n_0n0​; then every n≥n0n\ge n_0n≥n0​, every NNN in range, every circuit and every output qubit.
  • No intermediate measurement, postselection or fanout gate is in the model; the statement is a pure statement about unitary matrices, with no complexity-class machinery.
  • ParityStatement takes the size bound as a real exponent: N≤ncN\le n^cN≤nc with c≥1c\ge1c≥1 real, n≤Nn\le Nn≤N, and depth layers.length ≤ d with d≥0d\ge0d≥0, exactly as in Theorem 1. Its conclusion is the negation of "for every xxx, success ≥1/2+ε\ge 1/2+\varepsilon≥1/2+ε".

Welcome contributions: a reusable Lean model of unitary circuits on qubits, spectral projections of commuting count operators, and Chebyshev-type polynomial approximation with coefficient bounds (Lemma 3, p. 6).

Selected references

  • OpenAI, Product-projection localization and the QAC0 parity lower bound, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Product-projection-localization-and-the-QAC0-parity-lower-bound-September-24-2026/paper.pdf
  • OpenAI, Regular trajectories, pruning and quantum parity, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Regular-trajectories-pruning-and-quantum-parity-September-24-2026/paper.pdf
  • C. Moore, Quantum circuits: fanout, parity, and counting, arXiv:quant-ph/9903046 (1999). https://arxiv.org/abs/quant-ph/9903046v3
  • M. Furst, J. B. Saxe, M. Sipser, Parity, circuits, and the polynomial-time hierarchy, Math. Systems Theory 17 (1984), 13–27. https://doi.org/10.1007/BF01744431
  • M. Ajtai, Σ11\Sigma^1_1Σ11​-formulae on finite structures, Ann. Pure Appl. Logic 24 (1983), 1–48. https://doi.org/10.1016/0168-0072(83)90038-6
  • J. Håstad, Almost optimal lower bounds for small depth circuits, STOC 1986. https://doi.org/10.1145/12130.12132
  • F. Green, S. Homer, C. Moore, C. Pollett, Counting, fanout and the complexity of quantum ACC, QIC 2 (2002). https://doi.org/10.26421/QIC2.1-3
  • P. Høyer, R. Špalek, Quantum fan-out is powerful, Theory of Computing 1 (2005). https://doi.org/10.4086/toc.2005.v001a005
  • M. Fang, S. Fenner, F. Green, S. Homer, Y. Zhang, Quantum lower bounds for fanout, QIC 6 (2006). https://doi.org/10.26421/QIC6.1-3
  • G. Rosenthal, Bounds on the QAC0 complexity of approximating parity, ITCS 2021. https://doi.org/10.4230/LIPIcs.ITCS.2021.32
  • S. Nadimpalli, N. Parham, F. Vasconcelos, H. Yuen, On the Pauli spectrum of QAC0, STOC 2024. https://doi.org/10.1145/3618260.3649662
  • M. R. Joshi, A. Tal, F. Vasconcelos, J. Wright, Improved lower bounds for QAC0, STOC 2026. https://doi.org/10.1145/3798129.3800922
  • L. Gretta, M. Gupta, M. R. Joshi, Parity ∉ QAC0 ⟺ QAC0 is Fourier-concentrated, arXiv:2604.02793 (2026). https://arxiv.org/abs/2604.02793v2
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Mathematical PhysicsProbability·Captain: wurtle

Spontaneous magnetization in the quantum Heisenberg ferromagnetResearch Paper

Motivation

The quantum Heisenberg ferromagnet is the basic quantum model of a magnet: a quantum spin sits at each site of the lattice Zd\mathbb Z^dZd and neighbouring spins prefer to align. Its Hamiltonian is invariant under simultaneous rotation of all spins, so at zero external field no direction is preferred. Spontaneous magnetization asks whether an infinite-volume equilibrium state at positive temperature can nevertheless choose a direction, giving a nonzero expected spin at a single site. For classical spins and for quantum antiferromagnets this was settled decades ago; for the quantum ferromagnet in d≥3d\ge3d≥3 it has been a standard open problem of mathematical physics, recorded by Lieb in 1999 and again by Seiringer in 2025.

Timeline

  • 1928–1930. Heisenberg proposes the exchange model of ferromagnetism (doi:10.1007/BF01328601); Bloch's spin-wave picture predicts the low-temperature reduction of magnetization (doi:10.1007/BF01339661).
  • 1956. Dyson develops the theory of interacting spin waves and its thermodynamics (doi:10.1103/PhysRev.102.1217, doi:10.1103/PhysRev.102.1230).
  • 1966. Mermin and Wagner exclude positive-temperature ferro- and antiferromagnetism for finite-range isotropic Heisenberg models in d=1,2d=1,2d=1,2 (doi:10.1103/PhysRevLett.17.1133).
  • 1967. Haag, Hugenholtz and Winnink formulate equilibrium of infinite systems through the KMS condition (doi:10.1007/BF01646342).
  • 1976. Fröhlich, Simon and Spencer prove low-temperature ordering for classical continuous-spin models in d≥3d\ge3d≥3 via infrared bounds (doi:10.1007/BF01608557); Powers relates the Heisenberg model to random walks on the permutation group (doi:10.1007/BF00398374).
  • 1978. Dyson, Lieb and Simon prove ordering for quantum antiferromagnets (spin ≥1\ge1≥1 in d≥3d\ge3d≥3, spin 12\tfrac1221​ in high dimension) and explain why reflection positivity gives no ferromagnetic infrared bound (doi:10.1007/BF01106729).
  • 1988. Kennedy, Lieb and Shastry prove ground-state Néel order for the spin-12\tfrac1221​ antiferromagnet on Z3\mathbb Z^3Z3 (doi:10.1007/BF01023854).
  • 1991–1994. Conlon–Solovej random-walk representations and free-energy upper bound (doi:10.1007/BF01057876); Tóth's improved pressure bound (1993, doi:10.1007/BF00739568); Nachtergaele's general-spin stochastic-geometric representations (1994, doi:10.1007/978-94-015-8326-8_14).
  • 1999. Lieb poses ferromagnetic long-range order as Problem A of the Mathematical Physics Open Problems list.
  • 2015. Correggi, Giuliani and Seiringer prove the spin-wave free-energy asymptotics in d=3d=3d=3 (arXiv:1312.7873).
  • 2020. Björnberg, Fröhlich and Ueltschi analyse the loop representation on the complete graph (arXiv:1811.12834).
  • 2025–2026. Seiringer records the ordering problem in an Oberwolfach report; Klippel proves the free-energy asymptotics in d=2d=2d=2 (arXiv:2608.25506).

The source of this mission is an OpenAI preprint dated September 24, 2026, which claims a proof of spontaneous magnetization for every spin and every d≥3d\ge3d≥3.

Setting

Fix d≥3d\ge3d≥3 and a spin S∈{12,1,32,… }S\in\{\tfrac12,1,\tfrac32,\dots\}S∈{21​,1,23​,…}; write ℓ=2S\ell=2Sℓ=2S. Each site carries C2S+1\mathbb C^{2S+1}C2S+1 with basis (em)m=−SS(e_m)_{m=-S}^{S}(em​)m=−SS​ and

Szem=mem,S+em=S(S+1)−m(m+1) em+1,S−=(S+)∗,S^ze_m=me_m,\qquad S^+e_m=\sqrt{S(S+1)-m(m+1)}\,e_{m+1},\qquad S^-=(S^+)^*,Szem​=mem​,S+em​=S(S+1)−m(m+1)​em+1​,S−=(S+)∗,

Sx=(S++S−)/2S^x=(S^++S^-)/2Sx=(S++S−)/2, Sy=(S+−S−)/(2i)S^y=(S^+-S^-)/(2i)Sy=(S+−S−)/(2i). For finite Λ⊂Zd\Lambda\subset\mathbb Z^dΛ⊂Zd the free-boundary Hamiltonian is

HΛ=−∑{x,y}⊂Λ, ∣x−y∣1=1 (SxxSyx+SxySyy+SxzSyz),H_\Lambda=-\sum_{\{x,y\}\subset\Lambda,\ |x-y|_1=1}\ \bigl(S^x_xS^x_y+S^y_xS^y_y+S^z_xS^z_y\bigr),HΛ​=−{x,y}⊂Λ, ∣x−y∣1​=1∑​ (Sxx​Syx​+Sxy​Syy​+Sxz​Syz​),

each unordered edge counted once. The quasi-local algebra A\mathcal AA is the norm completion of the local matrix algebras ⨂x∈FM2S+1(C)\bigotimes_{x\in F}M_{2S+1}(\mathbb C)⨂x∈F​M2S+1​(C). The dynamics is τt(A)=lim⁡neitHΛnAe−itHΛn\tau_t(A)=\lim_n e^{itH_{\Lambda_n}}Ae^{-itH_{\Lambda_n}}τt​(A)=limn​eitHΛn​​Ae−itHΛn​​ along the boxes Λn=[−n,n]d\Lambda_n=[-n,n]^dΛn​=[−n,n]d.

A state is a positive linear functional ω\omegaω on A\mathcal AA with ω(1)=1\omega(1)=1ω(1)=1. It is β\betaβ-KMS if for all A,B∈AA,B\in\mathcal AA,B∈A there is a bounded function FFF, continuous on {0≤Im⁡z≤β}\{0\le\operatorname{Im}z\le\beta\}{0≤Imz≤β} and analytic inside, with

F(t)=ω(A τt(B)),F(t+iβ)=ω(τt(B) A)(t∈R).F(t)=\omega(A\,\tau_t(B)),\qquad F(t+i\beta)=\omega(\tau_t(B)\,A)\qquad(t\in\mathbb R).F(t)=ω(Aτt​(B)),F(t+iβ)=ω(τt​(B)A)(t∈R).

It is translation invariant if ω∘Tx=ω\omega\circ T_x=\omegaω∘Tx​=ω for all x∈Zdx\in\mathbb Z^dx∈Zd.

Formalization targets

Goal: Theorem 1.1

∃ β0>0  ∀ β≥β0  ∃ ω translation invariant, β-KMS for τ,ω(S0z) ≥ S4.\exists\,\beta_0>0\ \ \forall\,\beta\ge\beta_0\ \ \exists\,\omega\ \text{translation invariant, }\beta\text{-KMS for }\tau,\quad \omega(S_0^z)\ \ge\ \frac S4.∃β0​>0  ∀β≥β0​  ∃ω translation invariant, β-KMS for τ,ω(S0z​) ≥ 4S​.

The Lean statement OAI.Heisenberg.spontaneous_magnetization also asserts that the box limits defining τt(A)\tau_t(A)τt​(A) converge for every ttt and AAA (the standing fact the theorem relies on). The goal is open on the platform.

Significance

The theorem gives an equilibrium state of the zero-field model, at every sufficiently low positive temperature, that breaks the rotation symmetry: a translation-invariant KMS state with one-site magnetization at least S/4S/4S/4. It addresses the ordering problem in its spontaneous-magnetization formulation; the volume-averaged finite-volume two-point criterion in Seiringer's account is a different formulation that the paper does not use. For S=12S=\tfrac12S=21​ the Matsubara–Matsuda correspondence turns the ordered state into a hard-core boson state with off-diagonal long-range order, a lattice analogue of Bose–Einstein condensation.

The result is stated in an OpenAI preprint; it has not been peer reviewed, and there is no machine-checked proof. A formal proof would certify a long argument (loop representation, stable-polynomial pin test, Markov-walk return estimates, flow constructions and the KMS limit) whose individual steps are each delicate.

Difficulty

The classical route to continuous-symmetry breaking, infrared bounds from reflection positivity, fails for the quantum ferromagnet: as Dyson, Lieb and Simon explained, it does not yield the needed Duhamel bound. Spin-wave free-energy asymptotics, now known in d=2,3d=2,3d=2,3, control correlations only on a temperature-dependent finite length scale, not at all scales at a fixed temperature. Loop representations give positive weights, but positivity alone does not imply ordering: one must show that an interior cycle rarely avoids pins placed on the boundary, uniformly in the volume. Finally, a KMS state must be produced for the zero-field dynamics itself, so the symmetry-breaking field used in finite volume has to be removed while both KMS boundary conditions survive.

Formalization scope

  • Sites are Fin d → ℤ; a spin level is Fin (ℓ+1) with magnetic quantum number k−ℓ/2k-\ell/2k−ℓ/2. The Hilbert space is ℓ2\ell^2ℓ2 of finitely supported configurations Site d →₀ Fin (ℓ+1), and the quasi-local algebra is the norm closure of the star-algebra generated by single-site matrix units on it (a faithful copy of the abstract quasi-local algebra).
  • hamiltonian d ℓ Λ sums over nearest-neighbour pairs (ℓ1\ell^1ℓ1 distance one) with one orientation per edge; box d n is [−n,n]d[-n,n]^d[−n,n]d; dynamics is the limUnder of the box dynamics, and DynamicsConverges asserts that these limits exist.
  • State packages a continuous linear functional with ω(1)=1\omega(1)=1ω(1)=1 and ω(A∗A)≥0\omega(A^*A)\ge0ω(A∗A)≥0; IsKMS β ω requires 0<β0<\beta0<β and, for every A,BA,BA,B, a bounded FFF continuous on the closed strip, complex-differentiable on the open strip, with the two boundary identities.
  • The conclusion reads Im⁡ω(S0z)=0\operatorname{Im}\omega(S^z_0)=0Imω(S0z​)=0 and Re⁡ω(S0z)≥ℓ/8\operatorname{Re}\omega(S^z_0)\ge\ell/8Reω(S0z​)≥ℓ/8.

A complete development needs quantum spin systems on Zd\mathbb Z^dZd, Lieb–Robinson-type existence of infinite-volume dynamics, KMS states, and the probabilistic loop machinery. The quantum-spin and KMS infrastructure is reusable for other lattice models (including the Bloch-law missions of this family). Contributions formalizing the existence of the dynamics, Proposition 2.2 (spin-to-loop representation), Proposition 3.1 (simultaneous pin test) and Proposition 8.2 (vanishing-field limit) are welcome.

Selected references

  • OpenAI, Spontaneous magnetization in the quantum Heisenberg ferromagnet, preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Spontaneous-magnetization-in-the-quantum-Heisenberg-ferromagnet-September-24-2026/paper.pdf
  • E. H. Lieb, Long Range Order for the Quantum Heisenberg Model, Mathematical Physics Open Problems, Problem A, 1999. https://web.math.princeton.edu/~aizenman/OpenProblems_MathPhys/9901.HeisenbergFerr.html
  • R. Seiringer, The Heisenberg Ferromagnet: A Dilute Bose Gas in Disguise, Oberwolfach Report 7/2025. https://doi.org/10.4171/OWR/2025/7
  • N. D. Mermin, H. Wagner, Absence of Ferromagnetism or Antiferromagnetism in One- or Two-Dimensional Isotropic Heisenberg Models, Phys. Rev. Lett., 1966. https://doi.org/10.1103/PhysRevLett.17.1133
  • J. Fröhlich, B. Simon, T. Spencer, Infrared Bounds, Phase Transitions and Continuous Symmetry Breaking, Comm. Math. Phys., 1976. https://doi.org/10.1007/BF01608557
  • F. J. Dyson, E. H. Lieb, B. Simon, Phase Transitions in Quantum Spin Systems with Isotropic and Nonisotropic Interactions, J. Stat. Phys., 1978. https://doi.org/10.1007/BF01106729
  • M. Correggi, A. Giuliani, R. Seiringer, Validity of the Spin-Wave Approximation for the Free Energy of the Heisenberg Ferromagnet, Comm. Math. Phys., 2015. https://arxiv.org/abs/1312.7873
  • B. Nachtergaele, Y. Ogata, R. Sims, Propagation of Correlations in Quantum Lattice Systems, J. Stat. Phys., 2006. https://arxiv.org/abs/math-ph/0603064
  • J. Borcea, P. Brändén, T. M. Liggett, Negative Dependence and the Geometry of Polynomials, J. Amer. Math. Soc., 2009. https://arxiv.org/abs/0707.2340
  • R. Haag, N. M. Hugenholtz, M. Winnink, On the equilibrium states in quantum statistical mechanics, Comm. Math. Phys., 1967. https://doi.org/10.1007/BF01646342
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Ground-state condensation in the dilute hard-sphere gasResearch Paper

Motivation

Bose–Einstein condensation (BEC) means that a single one-particle state carries a macroscopic fraction of a many-boson system. It was predicted for the ideal gas by Bose and Einstein (1924–1925) and is observed in dilute atomic gases, but for interacting particles in the thermodynamic limit there was no rigorous proof, even in the ground state. The Penrose–Onsager criterion (Phys. Rev. 1956) identifies condensation with a macroscopic eigenvalue of the one-particle density matrix. Energy asymptotics of the dilute gas are now known to second order, but they do not determine single-orbital occupation, since the one-particle spectral gap closes as the volume grows. Lieb and Yngvason explicitly separated the condensation question from their energy theorem, and Solovej's 2025 survey lists fixed-density ground-state condensation as a major problem in the field (C. R. Physique 2025, Section 5).

This mission asks for a formal proof of ground-state condensation for the dilute three-dimensional hard-sphere Bose gas, as stated in an OpenAI preprint dated September 24, 2026 (source). The preprint has not been peer reviewed and its claims have not been independently verified; on the platform the Lean goal is open.

Background

  • 1924–1925 — Bose and Einstein predict condensation in the ideal Bose gas (Z. Phys. 1924).
  • 1947 — Bogoliubov's theory assumes a macroscopically occupied zero mode.
  • 1956 — Penrose and Onsager's density-matrix criterion for condensation.
  • 1957 — Dyson's bounds on the hard-sphere ground-state energy (Phys. Rev. 1957); Lee, Huang and Yang predict depletion of order ρa3\sqrt{\rho a^3}ρa3​ (Phys. Rev. 1957).
  • 1998 — Lieb and Yngvason prove the leading dilute energy asymptotics 4πρa4\pi\rho a4πρa (PRL 1998).
  • 2002 — Lieb and Seiringer prove BEC for trapped gases in the Gross–Pitaevskii limit (PRL 2002).
  • 2020 — Deuchert and Seiringer: homogeneous Gross–Pitaevskii limit at positive temperature (ARMA 2020).
  • 2021–2026 — Fournais's length scales for BEC (EMS 2021); Fournais–Solovej's Lee–Huang–Yang lower bound including hard cores (Invent. Math. 2023); Basti et al.'s matching upper bound for hard spheres (arXiv:2603.13084); results of Chong–Liang–Nam (JFA 2026) and Junge (arXiv:2603.20776) in joint dilute and large-volume limits.
  • September 2026 — The OpenAI preprint claims condensation at fixed density and fixed exclusion distance (Theorem 1.1, p. 3).

Setting

Let ΛL=(R/LZ)3\Lambda_L=(\mathbb R/L\mathbb Z)^3ΛL​=(R/LZ)3 be the flat torus with torus distance dLd_LdL​. For NNN particles and exclusion distance a>0a>0a>0, the allowed configurations are

ΩN,L,a={X∈ΛLN: dL(xi,xj)>a for i<j}.\Omega_{N,L,a}=\{X\in\Lambda_L^N:\ d_L(x_i,x_j)>a\ \text{for } i<j\}.ΩN,L,a​={X∈ΛLN​: dL​(xi​,xj​)>a for i<j}.

The hard-sphere Hamiltonian is the operator of the Dirichlet form q[f]=∑i=1N∫∣∇if∣2q[f]=\sum_{i=1}^N\int|\nabla_if|^2q[f]=∑i=1N​∫∣∇i​f∣2 on H01(ΩN,L,a)H^1_0(\Omega_{N,L,a})H01​(ΩN,L,a​) restricted to symmetric (bosonic) functions; wave functions vanish on forbidden configurations, and aaa is the scattering length. A ground vector is a normalized bosonic minimizer of qqq. For a normalized bosonic Ψ\PsiΨ, the condensate fraction in the constant orbital φ0=L−3/2\varphi_0=L^{-3/2}φ0​=L−3/2 is

B(Ψ)=⟨φ0,ΓΨ(1)φ0⟩N=1L3∫ΛLN−1∣∫ΛLΨ(x,Y) dx∣2dY∈[0,1],B(\Psi)=\frac{\langle\varphi_0,\Gamma^{(1)}_\Psi\varphi_0\rangle}{N}=\frac1{L^3}\int_{\Lambda_L^{N-1}}\Bigl|\int_{\Lambda_L}\Psi(x,Y)\,dx\Bigr|^2dY\in[0,1],B(Ψ)=N⟨φ0​,ΓΨ(1)​φ0​⟩​=L31​∫ΛLN−1​​​∫ΛL​​Ψ(x,Y)dx​2dY∈[0,1],

and for a density operator it is defined by linearity. The gas parameter is ρa3\rho a^3ρa3 with ρ\rhoρ the density.

Formalization targets

Goal: Theorem 1.1 and Corollary 1.2 (p. 3)

There are absolute constants ε0,c0>0\varepsilon_0,c_0>0ε0​,c0​>0 such that, for all a,ρ>0a,\rho>0a,ρ>0 with ρa3<ε0\rho a^3<\varepsilon_0ρa3<ε0​ and every sequence Nk→∞N_k\to\inftyNk​→∞, Lk→∞L_k\to\inftyLk​→∞ with Nk/Lk3→ρN_k/L_k^3\to\rhoNk​/Lk3​→ρ:

  1. for every choice of (possibly complex) bosonic ground vectors Ψk\Psi_kΨk​,  lim inf⁡kB(Ψk)≥c0\ \liminf_k B(\Psi_k)\ge c_0 liminfk​B(Ψk​)≥c0​;
  2. for every sequence of density operators TkT_kTk​ supported on the bosonic ground spaces, the same bound holds for the occupation of TkT_kTk​ (in particular for the normalized ground-space projections).

The constant c0c_0c0​ does not depend on the gas parameter in this range.

Significance

The result itself. It is a proof of macroscopic condensation in an interacting continuum Bose gas with fixed density and fixed hard core, in the thermodynamic limit, uniformly over all ground states including degenerate ground spaces. Previous rigorous results let the gas parameter tend to zero with the volume, or concerned traps, scaling limits, or positive-temperature settings with different potentials. The theorem gives a positive fraction only; it does not reach the Lee–Huang–Yang depletion law.

Formalizing it. The statement involves Sobolev spaces with Dirichlet conditions on a configuration space of the torus, bosonic symmetry, density operators, and partial traces, none of which are packaged in Mathlib; the Lean development builds them concretely. The proof uses killed Brownian motion, percolation-type path constructions, and second-moment arguments. No machine-checked statement of BEC for an interacting system is known.

Difficulty

Energy estimates alone cannot detect occupation of the constant orbital, because the cost of moving particles out of it is of order L−2L^{-2}L−2 per particle and vanishes in the limit. One must show directly that a typical ground state correlates distant parts of the box. The preprint compares a tagged particle's position in distant cells by moving trajectories along random lattice routes; multiplying local comparison costs along a route loses a factor at every step, so instead it averages over random routes and bounds the second moment of the averaged likelihood, where exact cancellation of normalizers leaves a cost depending only on mutual encounters of two routes (Introduction, pp. 4–5; Section 8). A separate phase argument passes from ∣Ψ∣|\Psi|∣Ψ∣ to complex Ψ\PsiΨ (Lemma 2.3, p. 9).

Formalization scope

  • Configurations are Fin N → Fin 3 → AddCircle L; the allowed set uses the Euclidean torus distance with strict inequality a < dist.
  • The form domain dirichletDomain is the closure, in L2×(L2)3NL^2\times(L^2)^{3N}L2×(L2)3N, of jets of smooth compactly supported test functions with support in the allowed set; energy is the sum of squared L2L^2L2 norms of the partial derivatives. IsGroundVector means: in the domain, bosonic (a.e. permutation invariant), normalized, and of minimal energy among such vectors.
  • occupation is exactly B(Ψ)B(\Psi)B(Ψ); mixedOccupation T is the trace of TTT compressed by the bounded map Ψ↦L−3/2∫Ψ(x,⋅) dx\Psi\mapsto L^{-3/2}\int\Psi(x,\cdot)\,dxΨ↦L−3/2∫Ψ(x,⋅)dx. GroundSupported T says every unit vector in (ker⁡T)⊥(\ker T)^\perp(kerT)⊥ is (the first component of) a ground vector.
  • Density operators are positive bounded operators with trace one, computed in a fixed Hilbert basis.
  • Hypotheses on the sequences are only those of the source; the ground-vector hypothesis is required for every index kkk, which loses nothing since lim inf⁡\liminfliminf depends only on tails.

Selected references

  • OpenAI, Ground-state condensation in the dilute hard-sphere gas, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Ground-state-condensation-in-the-dilute-hard-sphere-gas-September-24-2026/paper.pdf
  • O. Penrose, L. Onsager, Bose–Einstein condensation and liquid helium, Phys. Rev. 104 (1956). https://doi.org/10.1103/PhysRev.104.576
  • F. J. Dyson, Ground-state energy of a hard-sphere gas, Phys. Rev. 106 (1957). https://doi.org/10.1103/PhysRev.106.20
  • T. D. Lee, K. Huang, C. N. Yang, Eigenvalues and eigenfunctions of a Bose system of hard spheres and its low-temperature properties, Phys. Rev. 106 (1957). https://doi.org/10.1103/PhysRev.106.1135
  • E. H. Lieb, J. Yngvason, Ground state energy of the low density Bose gas, Phys. Rev. Lett. 80 (1998). https://doi.org/10.1103/PhysRevLett.80.2504
  • E. H. Lieb, R. Seiringer, Proof of Bose–Einstein condensation for dilute trapped gases, Phys. Rev. Lett. 88 (2002). https://doi.org/10.1103/PhysRevLett.88.170409
  • S. Fournais, J. P. Solovej, The energy of dilute Bose gases II: the general case, Invent. Math. (2023). https://doi.org/10.1007/s00222-022-01175-0
  • A. Deuchert, R. Seiringer, Gross–Pitaevskii limit of a homogeneous Bose gas at positive temperature, Arch. Ration. Mech. Anal. (2020). https://doi.org/10.1007/s00205-020-01489-4
  • J. P. Solovej, Mathematical physics of dilute Bose gases, C. R. Physique (2025). https://doi.org/10.5802/crphys.247
  • G. Basti, M. Brooks, S. Cenatiempo, A. Olgiati, B. Schlein, The Lee–Huang–Yang energy for a dilute gas of hard spheres: an upper bound, arXiv:2603.13084 (2026). https://arxiv.org/abs/2603.13084v2
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Sharp one-dimensional Lieb–Thirring constantsResearch Paper

Motivation

Lieb–Thirring inequalities bound the negative eigenvalues of a Schrödinger operator −Δ−W-\Delta-W−Δ−W by an integral of the potential. Lieb and Thirring introduced them in 1975 to give a short proof of the stability of matter, and they remain basic tools in mathematical physics, spectral theory and the analysis of many-fermion systems. The sharp constants are known only in a few cases. In one dimension, the Lieb–Thirring conjecture predicts the sharp constant for every exponent γ\gammaγ: for 1/2<γ<3/21/2<\gamma<3/21/2<γ<3/2 it should be the constant of the best potential with a single bound state, given by an explicit sech⁡2\operatorname{sech}^2sech2 profile.

Timeline

  • 1961. Keller solves the one-bound-state variational problem (doi:10.1063/1.1703708).
  • 1971, 1974. Inverse-scattering trace identities for the KdV equation give the sharp value L3/2,1=3/16L_{3/2,1}=3/16L3/2,1​=3/16 (Zakharov–Faddeev, doi:10.1007/BF01086739; Gardner–Greene–Kruskal–Miura, doi:10.1002/cpa.3160270108).
  • 1975–1976. Lieb and Thirring prove their inequalities and state the one-dimensional conjecture (doi:10.1103/PhysRevLett.35.687).
  • 1978. Aizenman and Lieb extend semiclassical equality to all γ≥3/2\gamma\ge3/2γ≥3/2 (doi:10.1016/0375-9601(78)90385-7).
  • 1996, 1998. Weidl proves finiteness of L1/2,1L_{1/2,1}L1/2,1​ (doi:10.1007/BF02104912); Hundertmark, Lieb and Thomas obtain its sharp value 1/21/21/2 (doi:10.4310/ATMP.1998.v2.n4.a2).
  • 2000. Laptev and Weidl prove sharp semiclassical constants in all dimensions for γ≥3/2\gamma\ge3/2γ≥3/2 (doi:10.1007/BF02392782); Hundertmark, Laptev and Weidl prove Lγ,1≤2Lγ,1clL_{\gamma,1}\le2L^{\rm cl}_{\gamma,1}Lγ,1​≤2Lγ,1cl​ for 1/2≤γ<3/21/2\le\gamma<3/21/2≤γ<3/2 (doi:10.1007/s002220000077).
  • 2008–2025. Improved constants at γ=1\gamma=1γ=1 by Dolbeault–Laptev–Loss (doi:10.4171/JEMS/142), Frank–Hundertmark–Jex–Nam (doi:10.4171/JEMS/1062) and Corso–Ried (doi:10.1007/s00220-024-05216-y); Levitt's numerics support the conjectured value (doi:10.4171/JST/65).
  • 2026. Read and Schulz prove the sharp case γ=1\gamma=1γ=1 (arXiv:2609.10478).

The source of this mission, an OpenAI preprint dated September 23, 2026, proves the conjectured sharp constant for every 1/2<γ<3/21/2<\gamma<3/21/2<γ<3/2.

Setting

For 0≤W∈Lγ+1/2(R)0\le W\in L^{\gamma+1/2}(\mathbb R)0≤W∈Lγ+1/2(R), let H−WH_{-W}H−W​ be the self-adjoint operator of the quadratic form

h−W[v]=∫R∣v′∣2 dx−∫RW∣v∣2 dx,v∈H1(R).h_{-W}[v]=\int_{\mathbb R}|v'|^2\,dx-\int_{\mathbb R}W|v|^2\,dx,\qquad v\in H^1(\mathbb R).h−W​[v]=∫R​∣v′∣2dx−∫R​W∣v∣2dx,v∈H1(R).

For γ>1/2\gamma>1/2γ>1/2 its negative spectrum is discrete; write Tr⁡(H−W)−γ=∑λj<0∣λj∣γ\operatorname{Tr}(H_{-W})_-^\gamma=\sum_{\lambda_j<0}|\lambda_j|^\gammaTr(H−W​)−γ​=∑λj​<0​∣λj​∣γ with multiplicity, possibly +∞+\infty+∞ a priori. The optimal constant is

Lγ,1=sup⁡0≤W∈Lγ+1/2, W≢0Tr⁡(H−W)−γ∫Wγ+1/2,L_{\gamma,1}=\sup_{0\le W\in L^{\gamma+1/2},\ W\not\equiv0}\frac{\operatorname{Tr}(H_{-W})_-^\gamma}{\int W^{\gamma+1/2}},Lγ,1​=0≤W∈Lγ+1/2, W≡0sup​∫Wγ+1/2Tr(H−W​)−γ​​,

Lγ,1(1)L^{(1)}_{\gamma,1}Lγ,1(1)​ is the same supremum with only the lowest eigenvalue retained, and the semiclassical constant is

Lγ,1cl=Γ(γ+1)2π Γ(γ+3/2).L^{\rm cl}_{\gamma,1}=\frac{\Gamma(\gamma+1)}{2\sqrt\pi\,\Gamma(\gamma+3/2)}.Lγ,1cl​=2π​Γ(γ+3/2)Γ(γ+1)​.

Formalization targets

Goal: Theorem 1.1

For 1/2<γ<3/21/2<\gamma<3/21/2<γ<3/2 and every 0≤W∈Lγ+1/2(R)0\le W\in L^{\gamma+1/2}(\mathbb R)0≤W∈Lγ+1/2(R),

Tr⁡(H−W)−γ ≤ 2(γ−1/2γ+1/2)γ−1/2Lγ,1cl∫RWγ+1/2;\operatorname{Tr}(H_{-W})_-^\gamma\ \le\ 2\Bigl(\frac{\gamma-1/2}{\gamma+1/2}\Bigr)^{\gamma-1/2}L^{\rm cl}_{\gamma,1}\int_{\mathbb R}W^{\gamma+1/2};Tr(H−W​)−γ​ ≤ 2(γ+1/2γ−1/2​)γ−1/2Lγ,1cl​∫R​Wγ+1/2;

the constant equals Lγ,1=Lγ,1(1)L_{\gamma,1}=L^{(1)}_{\gamma,1}Lγ,1​=Lγ,1(1)​, and with r=(γ−1/2)−1r=(\gamma-1/2)^{-1}r=(γ−1/2)−1 equality holds for W(x)=(r+1)sech⁡2(rx)W(x)=(r+1)\operatorname{sech}^2(rx)W(x)=(r+1)sech2(rx). The Lean statement OAI.SharpLiebThirring.sharp_lieb_thirring is open on the platform.

Significance

The theorem settles the one-dimensional Lieb–Thirring conjecture on the whole interval 1/2<γ<3/21/2<\gamma<3/21/2<γ<3/2, extending the case γ=1\gamma=1γ=1 of Read and Schulz: allowing many bound states never beats a single optimally shaped well. Combined with the known endpoint results (γ=1/2\gamma=1/2γ=1/2 and γ≥3/2\gamma\ge3/2γ≥3/2), it completes the sharp one-dimensional constants. It also gives the corresponding bound for signed potentials (Corollary 7.3), and through the Laptev–Weidl lifting method one-dimensional sharp constants feed into higher-dimensional estimates.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists. A formal proof would certify a proof whose key step is a finite-interval action inequality established by a continuation and degree argument for matrix fields.

Difficulty

Single-state bounds and numerical evidence say nothing about potentials with many bound states, and the conjecture requires a bound uniform over all orthonormal families of eigenfunctions. Methods that work at γ=1\gamma=1γ=1 (where the inequality is dual to a kinetic-energy bound for orthonormal families) do not directly apply at other exponents, since the moment ∑∣λj∣γ\sum|\lambda_j|^\gamma∑∣λj​∣γ is not linear in the density matrix. The proof must keep track of the individual eigenvalue scales.

Formalization scope

  • H1 packages u∈L2(R;C)u\in L^2(\mathbb R;\mathbb C)u∈L2(R;C) with a weak derivative in L2L^2L2, tested against smooth compactly supported functions.
  • A negative eigenvalue −k2-k^2−k2 (k>0k>0k>0) is a weak eigenvalue of the form: h−W(v,u)=−k2⟨v,u⟩h_{-W}(v,u)=-k^2\langle v,u\rangleh−W​(v,u)=−k2⟨v,u⟩ for all v∈H1v\in H^1v∈H1.
  • negativeMoment γ W is the supremum, in [0,∞][0,\infty][0,∞], over all finite orthonormal families of such eigenfunctions of ∑iki2γ\sum_ik_i^{2\gamma}∑i​ki2γ​; this counts multiplicity and does not presuppose finiteness. oneStateMoment retains one eigenfunction.
  • Admissible γ W is W≥0W\ge0W≥0 a.e. and W∈Lγ+1/2W\in L^{\gamma+1/2}W∈Lγ+1/2; potentialMass is the lower Lebesgue integral of Wγ+1/2W^{\gamma+1/2}Wγ+1/2; the optimal constants are suprema over admissible WWW with positive mass.
  • For admissible WWW the integral ∫Wuˉv\int W\bar uv∫Wuˉv converges for u,v∈H1u,v\in H^1u,v∈H1, so the form is correctly defined.

A complete development needs Sobolev space H1(R)H^1(\mathbb R)H1(R) and form methods, the variational characterization of negative eigenvalues, Gamma-function identities for Lγ,1clL^{\rm cl}_{\gamma,1}Lγ,1cl​, the explicit sech⁡2\operatorname{sech}^2sech2 eigenvalue computation, and the paper's action inequality. Contributions formalizing Theorem 2.1 (action inequality) and the equality computation for the sech⁡2\operatorname{sech}^2sech2 potential are welcome.

Selected references

  • OpenAI, Sharp one-dimensional Lieb–Thirring constants, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Sharp-One-Dimensional-Lieb-Thirring-Constants-September-23-2026/paper.pdf
  • E. H. Lieb, W. E. Thirring, Bound for the kinetic energy of fermions which proves the stability of matter, Phys. Rev. Lett., 1975. https://doi.org/10.1103/PhysRevLett.35.687
  • J. B. Keller, Lower bounds and isoperimetric inequalities for eigenvalues of the Schrödinger equation, J. Math. Phys., 1961. https://doi.org/10.1063/1.1703708
  • D. Hundertmark, E. H. Lieb, L. E. Thomas, A sharp bound for an eigenvalue moment of the one-dimensional Schrödinger operator, Adv. Theor. Math. Phys., 1998. https://doi.org/10.4310/ATMP.1998.v2.n4.a2
  • A. Laptev, T. Weidl, Sharp Lieb–Thirring inequalities in high dimensions, Acta Math., 2000. https://doi.org/10.1007/BF02392782
  • D. Hundertmark, A. Laptev, T. Weidl, New bounds on the Lieb–Thirring constants, Invent. Math., 2000. https://doi.org/10.1007/s002220000077
  • R. L. Frank, D. Hundertmark, M. Jex, P. T. Nam, The Lieb–Thirring inequality revisited, J. Eur. Math. Soc., 2021. https://doi.org/10.4171/JEMS/1062
  • A. Levitt, Best constants in Lieb–Thirring inequalities: a numerical investigation, J. Spectr. Theory, 2014. https://doi.org/10.4171/JST/65
  • L. Read, M. R. Schulz, The sharp one-dimensional Lieb–Thirring inequality for the sum of eigenvalues, preprint, 2026. https://arxiv.org/abs/2609.10478
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Functional AnalysisGroup TheoryHarmonic Analysis·Captain: wurtle

Unitarizability implies amenability for discrete groupsResearch Paper

Motivation

A representation π\piπ of a group GGG by bounded invertible operators on a Hilbert space is uniformly bounded if sup⁡g∥π(g)∥<∞\sup_g\|\pi(g)\|<\inftysupg​∥π(g)∥<∞, and unitarizable if after a change of inner product it becomes unitary, i.e. some bounded invertible SSS makes every Sπ(g)S−1S\pi(g)S^{-1}Sπ(g)S−1 unitary. Unitary representations are the ones harmonic analysis knows how to decompose, so it matters which groups have only unitarizable uniformly bounded representations. Day and Dixmier showed in 1950 that every amenable group (one with an invariant mean) has this property, and Dixmier asked whether the converse holds. Dixmier's unitarizability problem has driven work in operator algebras, ℓ2\ell^2ℓ2-invariants and measured group theory for seven decades.

Timeline

  • 1947. Sz.-Nagy proves that an invertible operator with uniformly bounded powers is similar to a unitary.
  • 1950. Day and Dixmier prove that amenable groups are unitarizable; Dixmier asks whether the converse holds (doi:10.2307/1990358).
  • 1955. Ehrenpreis and Mautner give nonunitarizable uniformly bounded representations of SL2(R)\mathrm{SL}_2(\mathbb R)SL2​(R) (doi:10.1073/pnas.41.4.231); Følner gives his finite-set criterion for amenability (doi:10.7146/math.scand.a-10442).
  • 1986. Pytlik and Szwarc construct explicit nonunitarizable families for free groups, settling all groups containing F2F_2F2​ (doi:10.1007/BF02392596).
  • 1998. Pisier characterizes amenability by a quantitative similarity bound with exponent <3<3<3 (The similarity degree of an operator algebra, Algebra i Analiz, 1998).
  • 2009. Epstein and Monod use invariant random forests to prove nonunitarizability for residually finite groups with positive first ℓ2\ell^2ℓ2-Betti number (doi:10.1093/imrn/rnp090); Osin obtains nonunitarizable groups without free subgroups.
  • 2010. Monod and Ozawa prove that the wreath products A≀GA\wr GA≀G with AAA infinite abelian are unitarizable exactly when GGG is amenable (doi:10.1016/j.jfa.2009.06.029), using the Gaboriau–Lyons theorem (doi:10.1007/s00222-009-0187-5).
  • 2018–2025. Gerasimova, Gruber, Monod and Thom relate unitarizability to Cheeger constants (doi:10.1016/j.jfa.2019.108457); Alpeev and Vergara obtain further cases.

The source of this mission, an OpenAI preprint dated September 23, 2026, answers Dixmier's question affirmatively for all discrete groups.

Setting

Let GGG be a discrete group. GGG is amenable if there is a linear functional mmm on the bounded functions G→CG\to\mathbb CG→C with m(1)=1m(1)=1m(1)=1, m(f)≥0m(f)\ge0m(f)≥0 for f≥0f\ge0f≥0, and m(Lgf)=m(f)m(L_gf)=m(f)m(Lg​f)=m(f), where (Lgf)(x)=f(g−1x)(L_gf)(x)=f(g^{-1}x)(Lg​f)(x)=f(g−1x).

A representation is a homomorphism π:G→B(K)\pi:G\to\mathcal B(\mathcal K)π:G→B(K) into bounded operators on a complex Hilbert space K\mathcal KK (each π(g)\pi(g)π(g) is then invertible). It is similar to a unitary representation if there is a bounded invertible SSS with Sπ(g)S−1S\pi(g)S^{-1}Sπ(g)S−1 unitary for every ggg. GGG is unitarizable if every uniformly bounded representation on every complex Hilbert space is similar to a unitary representation; the similarity may depend on the representation.

Formalization targets

Milestone: countable case

Every countable nonamenable GGG has a representation on a separable Hilbert space with sup⁡g∥π(g)∥≤101\sup_g\|\pi(g)\|\le101supg​∥π(g)∥≤101 that is not similar to a unitary representation.

Goal: Theorem 1.1

G amenable  ⟺  G unitarizable,G\ \text{amenable}\iff G\ \text{unitarizable},G amenable⟺G unitarizable,

and for nonamenable GGG and every ε>0\varepsilon>0ε>0 there is π\piπ with sup⁡g∥π(g)∥≤1+ε\sup_g\|\pi(g)\|\le1+\varepsilonsupg​∥π(g)∥≤1+ε not similar to a unitary representation, on a separable space when GGG is countable. The Lean statement OAI.Dixmier.current_main_theorem is open on the platform.

Significance

Theorem 1.1 characterizes amenability of discrete groups by a purely Hilbert-space property, without any quantitative bound on similarities, and shows that nonunitarizable representations can be chosen with uniform bound arbitrarily close to 111. Earlier results produced witnesses for groups with free subgroups, for residually finite groups with positive ℓ2\ell^2ℓ2-Betti number, or for wreath-product extensions of GGG; the theorem gives a witness for every nonamenable GGG itself. The paper also derives a consequence for group C∗^*∗-algebras using a companion similarity result.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists. The amenable direction (Day–Dixmier averaging) is classical and a natural first formalization step; the converse needs the paper's new operator construction.

Difficulty

A witness must be one representation for which no similarity exists, with no a priori control of the condition number of a putative unitarizer; quantitative criteria such as Pisier's do not apply. Nonamenable groups need not contain free subgroups and need not be residually finite, so the earlier free-group, random-forest and ℓ2\ell^2ℓ2-Betti routes do not cover them. The paper builds bounded operator cocycles with no bounded implementer, which requires operators whose conjugation differences under translation are uniformly bounded while their distance from the translation commutant tends to infinity.

Formalization scope

  • Amenability is stated for G with the discrete topology, using G →ᵇ ℂ for ℓ∞(G)\ell^\infty(G)ℓ∞(G); positivity is required on functions with nonnegative real values.
  • Representations are monoid homomorphisms G →* (H →L[ℂ] H) with [InnerProductSpace ℂ H] [CompleteSpace H]; SimilarToUnitary π asks for S : H ≃L[ℂ] H with ∥Sπ(g)S−1x∥=∥x∥\|S\pi(g)S^{-1}x\|=\|x\|∥Sπ(g)S−1x∥=∥x∥ for all g,xg,xg,x.
  • Unitarizability quantifies over Hilbert spaces in universe max u v, and the witness is built there; since the theorem holds for every v, this covers all Hilbert spaces.
  • Separability of the witness is required only for countable G, as in the paper.

A complete development needs bounded operator cocycles and triangular representations, Hilbert direct sums, Hilbert–Schmidt estimates, Følner's criterion, induction of representations from subgroups, and invariant means. Contributions formalizing the Day–Dixmier direction, Proposition 2.2 (direct-sum obstruction) and Lemma 5.1 (induction from a subgroup) are welcome.

Selected references

  • OpenAI, Unitarizability implies amenability for discrete groups, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Unitarizability-Implies-Amenability-for-Countable-Groups-September-23-2026/paper.pdf
  • M. M. Day, Means for the bounded functions and ergodicity of the bounded representations of semi-groups, Trans. Amer. Math. Soc., 1950. https://doi.org/10.2307/1990358
  • J. Dixmier, Les moyennes invariantes dans les semi-groupes et leurs applications, Acta Sci. Math. (Szeged), 1950.
  • G. Pisier, Are unitarizable groups amenable?, preprint, 2004. https://arxiv.org/abs/math/0405282
  • I. Epstein, N. Monod, Nonunitarizable representations and random forests, IMRN, 2009. https://doi.org/10.1093/imrn/rnp090
  • N. Monod, N. Ozawa, The Dixmier problem, lamplighters and Burnside groups, J. Funct. Anal., 2010. https://doi.org/10.1016/j.jfa.2009.06.029
  • D. Gaboriau, R. Lyons, A measurable-group-theoretic solution to von Neumann's problem, Invent. Math., 2009. https://doi.org/10.1007/s00222-009-0187-5
  • T. Pytlik, R. Szwarc, An analytic family of uniformly bounded representations of free groups, Acta Math., 1986. https://doi.org/10.1007/BF02392596
  • M. Gerasimova, D. Gruber, N. Monod, A. Thom, Asymptotics of Cheeger constants and unitarisability of groups, J. Funct. Anal., 2020. https://doi.org/10.1016/j.jfa.2019.108457
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Algebraic TopologyGroup Theory·Captain: wurtle

A universal group of type F∞Research Paper

Motivation

Higman's embedding theorem (1961) says that a finitely generated group embeds in a finitely presented group exactly when it is recursively presented, i.e. has a presentation with finitely many generators and a recursively enumerable set of relators. A consequence is that there is a single universal finitely presented group containing every finitely presented group. A natural higher-dimensional question asks whether finiteness can be pushed beyond presentations: finite presentability is the dimension-two case of the topological finiteness properties FnF_nFn​.

This preprint constructs a single group HHH of type F∞F_\inftyF∞​, i.e. with a classifying space having finitely many cells in every dimension, that contains every finitely presented group. This answers the F∞F_\inftyF∞​ form of the higher-dimensional Higman embedding question posed by Fournier-Facio and Zaremsky.

Background

  • 1949. Higman, Neumann and Neumann introduce HNN extensions and embedding theorems for groups.
  • 1961. Higman proves his embedding theorem.
  • 1974–1975. Bieri and Eckmann, and Brown, develop finiteness properties of groups and homological criteria for them.
  • 2018. Leary proves every countable group embeds in a group of type FP2FP_2FP2​.
  • 2026. Fournier-Facio and Zaremsky show that embedding theorems into recursively presented groups of type FPnFP_nFPn​ would yield embeddings of finitely presented groups into groups of type FnF_nFn​, show that their rope-trick groups fail FP3(Q)FP_3(\mathbb{Q})FP3​(Q) in general, and ask the higher-dimensional Higman embedding question (Question 1.3).
  • 2026. The OpenAI preprint A universal group of type F∞F_\inftyF∞​ (dated September 23, 2026) proves the theorem below. It has not been peer reviewed; the Lean goal is open on this platform.

Setting

A classifying complex for a group GGG is a connected CW complex with fundamental group isomorphic to GGG and contractible universal cover; it may be infinite-dimensional. GGG has type FnF_nFn​ if some classifying complex has finite nnn-skeleton, and type F∞F_\inftyF∞​ if some classifying complex has finitely many cells in every dimension. Type F2F_2F2​ is equivalent to finite presentability. A group is finitely presented if it has a presentation with finitely many generators and relators.

In Lean (OAI.UniversalFInfinity), HasTypeFInfinity G asks for a Hausdorff connected space XXX with a CW structure on Set.univ having finitely many nnn-cells for every nnn, a basepoint with π1(X,x)≃G\pi_1(X, x) \simeq Gπ1​(X,x)≃G, and a surjective covering map from a contractible space. Finite presentation is Mathlib's Group.IsFinitelyPresented.

Formalization targets

Goal: Theorem 1.1

There exists a group HHH of type F∞F_\inftyF∞​ such that every finitely presented group admits an injective homomorphism into HHH:

∃H of type F∞  ∀G finitely presented  ∃ φ:G↪H.\exists H \text{ of type } F_\infty\ \ \forall G \text{ finitely presented}\ \ \exists\, \varphi : G \hookrightarrow H .∃H of type F∞​  ∀G finitely presented  ∃φ:G↪H.

Significance

The result. Theorem 1.1 gives a universal group with the strongest standard topological finiteness property. Corollary 1.2 follows: the finitely generated subgroups of HHH are exactly the finitely generated recursively presented groups. No word-problem hypothesis is imposed on the inputs, in contrast with the companion result on simple F∞F_\inftyF∞​ overgroups.

Formalizing it. No machine-checked proof exists; the source is an unrefereed preprint. A formalization requires finite-type CW complexes, classifying spaces and covering theory, Brown's criterion or a direct cell-count argument, Higman's universal finitely presented group, HNN extensions and an ascending-torus theorem (Theorem 5.1), none of which is fully in Mathlib.

Difficulty

Higman's universal group is only finitely presented; type F∞F_\inftyF∞​ requires finite control of relations among relations in every dimension, which is typically destroyed by the embeddings and amalgams used in Higman-type arguments. Fournier-Facio and Zaremsky show that the rope-trick construction fails FP3(Q)FP_3(\mathbb{Q})FP3​(Q), so a different route is needed. The preprint constructs a finitely presented envelope with two families of homomorphisms from the universal group and an ascending HNN-type mapping torus whose finiteness properties can be verified.

Formalization scope

  • Universes: HHH and the quantified finitely presented GGG live in the same universe Type u; finitely presented groups are countable, so this loses nothing.
  • Type F∞F_\inftyF∞​: a CW structure with Finite (cw.cell n) for every nnn, π1≃H\pi_1 \simeq Hπ1​≃H, and a contractible covering space; no finite-dimensionality is required.
  • The universal quantifier is over every Group.IsFinitelyPresented group, not a chosen list of presentations.

The statement cannot be met trivially: a trivial or finite HHH cannot contain all finitely presented groups, and the type F∞F_\inftyF∞​ requirement is substantive.

Needed infrastructure: CW complexes of finite type, K(π,1)K(\pi,1)K(π,1) spaces, HNN extensions, Higman's embedding theorem. Contributions toward Theorem 5.1 (ascending-torus theorem) or Proposition 6.2 are welcome.

Selected references

  • OpenAI, A universal group of type F∞F_\inftyF∞​, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-universal-group-of-type-F-infinity-September-23-2026/paper.pdf
  • OpenAI, Simple F∞F_\inftyF∞​ overgroups of groups with decidable word problem, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/main/preprints/Simple-F-infinity-overgroups-of-groups-with-decidable-word-problem-September-23-2026/paper.pdf
  • G. Higman, Subgroups of finitely presented groups, Proc. Roy. Soc. London Ser. A 262 (1961). https://doi.org/10.1098/rspa.1961.0132
  • G. Higman, B. H. Neumann, H. Neumann, Embedding theorems for groups, J. London Math. Soc. 24 (1949).
  • R. Bieri, B. Eckmann, Finiteness properties of duality groups, Comment. Math. Helv. 49 (1974). https://doi.org/10.1007/BF02566720
  • K. S. Brown, Homological criteria for finiteness, Comment. Math. Helv. 50 (1975). https://doi.org/10.1007/BF02565740
  • I. J. Leary, Subgroups of almost finitely presented groups, Math. Ann. 372 (2018).
  • F. Fournier-Facio, M. C. B. Zaremsky, Finiteness properties and Higman's rope trick, preprint, 2026. https://arxiv.org/abs/2607.21727
  • A. Hatcher, Algebraic Topology, Cambridge University Press, 2002.
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Algebraic TopologyGroup TheoryMathematical Logic·Captain: wurtle

Simple F∞ overgroups of groups with decidable word problemResearch Paper

Motivation

A finitely generated group has decidable word problem if an algorithm decides, for every word in a fixed finite generating set and its inverses, whether it represents the identity. Embedding theorems translate this algorithmic property into algebra: Higman (1961) characterized subgroups of finitely presented groups, and Boone and Higman (1974) showed that decidable word problem is equivalent to embedding in a simple subgroup of a finitely presented group, asking whether the simple group can be finitely presented (the Boone–Higman conjecture).

This preprint proves a stronger statement in the direction of higher finiteness: every finitely generated group with decidable word problem embeds in a simple group of type F∞F_\inftyF∞​, i.e. one with a classifying space having finitely many cells in each dimension. Since type F∞F_\inftyF∞​ implies finite presentation, this implies the Boone–Higman conjecture.

Background

  • 1961. Higman's embedding theorem: finitely generated subgroups of finitely presented groups are exactly the recursively presented groups.
  • 1974. Boone and Higman characterize decidable word problem by embeddings into simple subgroups of finitely presented groups and pose the conjecture.
  • 1975, 1987. Brown gives homological criteria for finiteness and establishes type F∞F_\inftyF∞​ for the Thompson–Higman groups.
  • 1980. Thompson shows the simple overgroup can be chosen finitely generated with decidable word problem.
  • 2022. Belk and Zaremsky introduce twisted Brin–Thompson groups and construct a simple group of type F∞F_\inftyF∞​ containing all finitely generated right-angled Artin groups.
  • 2024–2026. Belk, Hyde and Matucci construct a simple F∞F_\inftyF∞​ group containing every countable abelian group; the Boone–Higman conjecture is verified for hyperbolic groups (Belk, Bleak, Matucci, Zaremsky) and for Aut(Fn)\mathrm{Aut}(F_n)Aut(Fn​) and mapping class groups (Belk, Fournier-Facio, Hyde, Zaremsky). The survey of Belk, Bleak, Matucci and Zaremsky raises the higher-finiteness question.
  • 2026. The OpenAI preprint Simple F∞F_\inftyF∞​ overgroups of groups with decidable word problem (dated September 23, 2026) proves the theorem below, building on the companion preprint Finite algebraic envelopes and the Boone–Higman conjecture. It has not been peer reviewed; the Lean goal is open on this platform.

Setting

A classifying space K(H,1)K(H,1)K(H,1) is a connected CW complex with fundamental group HHH and contractible universal cover. HHH has type FnF_nFn​ if some K(H,1)K(H,1)K(H,1) has finite nnn-skeleton and type F∞F_\inftyF∞​ if some K(H,1)K(H,1)K(H,1) has finitely many cells in each dimension. Type F1F_1F1​ is finite generation and type F2F_2F2​ is finite presentation. A group is simple if it is nontrivial and has no normal subgroups besides 111 and itself.

In Lean (OAI.SimpleFInftyOvergroups, definitions SimpleOvergroups), HasDecidableWordProblem G asks for a finite generating tuple with a ComputablePred identity predicate on words; HasTypeFInfty H asks for a Hausdorff connected space XXX with a CW structure of finite type (Topology.CWComplex.FiniteType), a basepoint with H≃π1(X,x)H \simeq \pi_1(X, x)H≃π1​(X,x), and a surjective covering map from a contractible space.

Formalization targets

Goal: Theorem 1.1

Every finitely generated group GGG with decidable word problem admits an injective homomorphism G↪HG \hookrightarrow HG↪H into a nontrivial simple group HHH of type F∞F_\inftyF∞​.

The input need not be finitely presented and its word-problem algorithm may have arbitrary running time; the classifying space of HHH may be infinite-dimensional.

Significance

The result. Theorem 1.1 answers the higher-finiteness strengthening of the Boone–Higman conjecture and implies the conjecture itself. With the classical converse (finitely presented simple groups have decidable word problem), it characterizes groups with decidable word problem as the finitely generated subgroups of simple groups of type F∞F_\inftyF∞​.

Formalizing it. No machine-checked proof exists; the source is an unrefereed preprint. A formalization requires CW complexes of finite type, classifying spaces and covering theory (partially in Mathlib), Brown's homological finiteness criterion, Steinberg groups, and twisted Brin–Thompson groups with the Belk–Zaremsky finiteness theorem (Theorem 5.1 in the preprint, from the literature).

Difficulty

Finite presentation already fails to pass to subgroups; higher finiteness additionally requires controlling relations among relations in every dimension. Known families of simple F∞F_\inftyF∞​ groups contain large classes of groups but give no general construction from a word-problem algorithm. The proof needs an oligomorphic faithful action of a group of type F∞F_\inftyF∞​ with stabilizers of type F∞F_\inftyF∞​, built from an algebraic envelope whose Steinberg-group kernel must be annihilated exactly (Theorem 4.6).

Formalization scope

  • GGG and HHH live in the same universe Type u; GGG carries [Group.FG G].
  • IsSimpleGroup H together with Nontrivial H encodes simplicity.
  • Type F∞F_\inftyF∞​ is encoded topologically via a finite-type CW structure on a connected Hausdorff space whose universal cover (a surjective covering with contractible total space) witnesses asphericity.
  • The word problem uses ComputablePred on lists of (generator, sign) pairs for a specified generating tuple.

The statement is not vacuous: the hypothesis holds for many groups (e.g. all finitely presented residually finite groups), and the conclusion requires a genuine embedding.

Needed infrastructure: finite-type CW complexes and K(π,1)K(\pi,1)K(π,1) spaces, Brown's criterion, group actions with finiteness properties, Steinberg groups over noncommutative algebras, and twisted Brin–Thompson groups. Contributions toward any of these are welcome.

Selected references

  • OpenAI, Simple F∞F_\inftyF∞​ overgroups of groups with decidable word problem, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Simple-F-infinity-overgroups-of-groups-with-decidable-word-problem-September-23-2026/paper.pdf
  • OpenAI, Finite algebraic envelopes and the Boone–Higman conjecture, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/main/preprints/Finite-algebraic-envelopes-and-the-Boone-Higman-conjecture-September-23-2026/paper.pdf
  • W. W. Boone, G. Higman, An algebraic characterization of groups with soluble word problem, J. Austral. Math. Soc. 18 (1974). https://doi.org/10.1017/S1446788700019108
  • G. Higman, Subgroups of finitely presented groups, Proc. Roy. Soc. London Ser. A 262 (1961). https://doi.org/10.1098/rspa.1961.0132
  • R. J. Thompson, Embeddings into finitely generated simple groups which preserve the word problem, in Word Problems II, 1980. https://doi.org/10.1016/S0049-237X(08)71348-X
  • K. S. Brown, Homological criteria for finiteness, Comment. Math. Helv. 50 (1975). https://doi.org/10.1007/BF02565740
  • K. S. Brown, Finiteness properties of groups, J. Pure Appl. Algebra 44 (1987). https://doi.org/10.1016/0022-4049(87)90015-6
  • J. Belk, M. C. B. Zaremsky, Twisted Brin–Thompson groups, Geom. Topol. 26 (2022). https://doi.org/10.2140/gt.2022.26.1189
  • J. Belk, C. Bleak, F. Matucci, M. C. B. Zaremsky, Progress around the Boone–Higman conjecture, 2025. https://arxiv.org/abs/2306.16356
  • J. Belk, C. Bleak, F. Matucci, M. C. B. Zaremsky, Hyperbolic groups satisfy the Boone–Higman conjecture, Duke Math. J. 175 (2026). https://doi.org/10.1215/00127094-2025-0055
  • J. Belk, J. Hyde, F. Matucci, Finite germ extensions, 2024. https://arxiv.org/abs/2407.03149
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AlgebraGroup TheoryMathematical Logic·Captain: wurtle

Finite algebraic envelopes and the Boone–Higman conjectureResearch Paper

Motivation

The word problem for a group with a finite generating set asks whether a given word in the generators and their inverses represents the identity; it is decidable if one algorithm answers this for every word. Since Higman's embedding theorem (1961), a recurring theme in combinatorial group theory has been to characterize algorithmic properties of groups by embeddings into groups with good algebraic properties. Boone and Higman (1974) proved that a finitely generated group has decidable word problem if and only if it embeds in a simple subgroup of a finitely presented group, and asked whether the simple group can itself be taken finitely presented. This is the Boone–Higman conjecture.

This preprint states a proof of the conjecture: a finitely generated group has decidable word problem if and only if it embeds in a finitely presented simple group.

Background

  • 1961. Higman characterizes finitely generated subgroups of finitely presented groups as the recursively presented groups.
  • 1974. Boone and Higman prove the characterization G≤H≤KG \le H \le KG≤H≤K with HHH simple and KKK finitely presented, and ask whether HHH can be finitely presented.
  • 1980. Thompson embeds every finitely generated group with decidable word problem into a finitely generated simple group with decidable word problem; a later proof is given by Darbinyan and Steenbock (2022).
  • 2022. Belk and Zaremsky introduce twisted Brin–Thompson groups, which embed an acting group in a simple group; Zaremsky (2024) gives a finite-presentation criterion requiring a finitely presented acting group with finitely generated point stabilizers and finitely many orbits on unordered pairs.
  • 2023–2026. The conjecture is verified for hyperbolic groups and contracting self-similar groups (Belk, Bleak, Matucci, Zaremsky), Baumslag–Solitar and free-by-cyclic groups (Bux, Llosa Isenrich, Wu), and Aut(Fn)\mathrm{Aut}(F_n)Aut(Fn​) and mapping class groups of punctured surfaces (Belk, Fournier-Facio, Hyde, Zaremsky); see the survey of Belk, Bleak, Matucci and Zaremsky.
  • 2026. The OpenAI preprint Finite algebraic envelopes and the Boone–Higman conjecture (dated September 23, 2026) states a proof of the conjecture in general. It has not been peer reviewed; the Lean goal is open on this platform.

Setting

A group GGG is finitely generated if some finite tuple g1,…,gng_1, \dots, g_ng1​,…,gn​ generates it. A word is a finite list of letters gi±1g_i^{\pm1}gi±1​; GGG has decidable word problem if for some finite generating tuple the set of words evaluating to 111 is computable. A group is finitely presented if it has a presentation with finitely many generators and relations, and simple if it is nontrivial with no normal subgroups other than 111 and itself. An embedding is an injective homomorphism.

In Lean (OAI.FiniteAlgebraicEnvelopes, definitions BooneHigman), words are List (Fin n × Bool), evalWord multiplies generators or their inverses, HasDecidableWordProblem G asserts a generating tuple whose identity predicate is ComputablePred, and EmbedsInFinitelyPresentedSimpleGroup G asserts a group in the same universe that is Group.IsFinitelyPresented and IsSimpleGroup, with an injective homomorphism from GGG.

Formalization targets

Goal: Theorem 1.1 (Boone–Higman conjecture)

For every finitely generated group GGG,

G has decidable word problem  ⟺  G embeds in a finitely presented simple group.G \text{ has decidable word problem} \iff G \text{ embeds in a finitely presented simple group.}G has decidable word problem⟺G embeds in a finitely presented simple group.

The implication from right to left is classical (a finitely presented simple group has decidable word problem, and the property passes to finitely generated subgroups); the content is the forward implication.

Significance

The result. Theorem 1.1 gives a purely algebraic characterization of decidability of the word problem and settles a question open since 1974. Its intermediate result, Theorem 1.2, embeds every finitely generated group with decidable word problem in a finitely presented group with a faithful two-transitive action on a countably infinite set with finitely generated point stabilizers, which feeds Zaremsky's criterion for twisted Brin–Thompson groups.

Formalizing it. No machine-checked proof exists, and the source is an unrefereed preprint. Formalizing it requires computability of word problems, finite presentations (available in Mathlib as Group.IsFinitelyPresented), Steinberg groups over noncommutative rings, and twisted Brin–Thompson groups, which are not in Mathlib. The proof also uses Zaremsky's finite-presentation theorem (Theorem 2.3) from the literature, which a complete formalization must include.

Difficulty

Finite presentation does not pass to subgroups, so Boone and Higman's simple group HHH and finitely presented group KKK cannot simply be merged. Thompson's construction gives a finitely generated simple overgroup but provides no finite presentation. The new route needs a finitely presented group acting faithfully and two-transitively, built from a finitely presented algebra whose simplicity appears only after passing to a direct limit, and an exact calculation removing the kernel of the Steinberg group without assuming it is central.

Formalization scope

  • GroupType : Type u with [Group GroupType] [Group.FG GroupType]; the target group lives in the same universe.
  • Decidability is ComputablePred on words over a specified finite generating tuple (Subgroup.closure (range generators) = ⊤); since the word problem's decidability is independent of the finite generating set, this matches the source.
  • IsSimpleGroup includes nontriviality, matching the paper's convention.

The statement is not trivially true: both directions are required for every finitely generated group, including infinitely presented ones.

Needed infrastructure: computable group presentations, Steinberg groups, mapping tori of endomorphisms, twisted Brin–Thompson groups and Zaremsky's criterion. Contributions toward the classical backward implication, or toward Theorem 1.2, are welcome.

Selected references

  • OpenAI, Finite algebraic envelopes and the Boone–Higman conjecture, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Finite-algebraic-envelopes-and-the-Boone-Higman-conjecture-September-23-2026/paper.pdf
  • W. W. Boone, G. Higman, An algebraic characterization of groups with soluble word problem, J. Austral. Math. Soc. 18 (1974). https://doi.org/10.1017/S1446788700019108
  • G. Higman, Subgroups of finitely presented groups, Proc. Roy. Soc. London Ser. A 262 (1961). https://doi.org/10.1098/rspa.1961.0132
  • R. J. Thompson, Embeddings into finitely generated simple groups which preserve the word problem, in Word Problems II, North-Holland, 1980. https://doi.org/10.1016/S0049-237X(08)71348-X
  • J. Belk, M. C. B. Zaremsky, Twisted Brin–Thompson groups, Geom. Topol. 26 (2022). https://doi.org/10.2140/gt.2022.26.1189
  • M. C. B. Zaremsky, Finite presentability of twisted Brin–Thompson groups, Proc. Roy. Soc. Edinburgh Sect. A (2024). https://doi.org/10.1017/prm.2024.131
  • J. Belk, C. Bleak, F. Matucci, M. C. B. Zaremsky, Hyperbolic groups satisfy the Boone–Higman conjecture, Duke Math. J. 175 (2026). https://doi.org/10.1215/00127094-2025-0055
  • J. Belk, C. Bleak, F. Matucci, M. C. B. Zaremsky, Progress around the Boone–Higman conjecture, 2025. https://arxiv.org/abs/2306.16356
  • K.-U. Bux, C. Llosa Isenrich, X. Wu, On the Boone–Higman conjecture for groups acting on locally finite trees, 2025. https://arxiv.org/abs/2408.05673
  • J. Belk, F. Fournier-Facio, J. Hyde, M. C. B. Zaremsky, Boone–Higman embeddings of Aut(F_n) and mapping class groups of punctured surfaces, 2026. https://arxiv.org/abs/2503.21882
  • A. Darbinyan, M. Steenbock, Embeddings into left-orderable simple groups, J. London Math. Soc. 105 (2022). https://doi.org/10.1112/jlms.12552
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Algebraic TopologyGroup Theory·Captain: wurtle

A finitely generated counterexample to the Eilenberg–Ganea conjectureResearch Paper

Motivation: algebraic versus geometric dimension of groups

Two numbers measure how "large" a discrete group Γ\GammaΓ is. The cohomological dimension cd⁡Γ\operatorname{cd}\GammacdΓ is algebraic: the length of the shortest projective resolution of the trivial module Z\mathbb ZZ over the group ring Z[Γ]\mathbb Z[\Gamma]Z[Γ]. The geometric dimension gd⁡Γ\operatorname{gd}\GammagdΓ is topological: the least dimension of a CW complex with fundamental group Γ\GammaΓ and contractible universal cover (a classifying space or K(Γ,1)K(\Gamma,1)K(Γ,1)). Cellular chains of a classifying space give a free resolution, so cd⁡Γ≤gd⁡Γ\operatorname{cd}\Gamma\le\operatorname{gd}\GammacdΓ≤gdΓ. Eilenberg and Ganea proved in 1957 that equality holds whenever cd⁡Γ≥3\operatorname{cd}\Gamma\ge3cdΓ≥3, and Stallings and Swan settled dimension one. The remaining case — must a group of cohomological dimension two have a two-dimensional classifying space? — is the Eilenberg–Ganea conjecture, closely tied to Whitehead's asphericity conjecture in low-dimensional topology.

Background

  • 1941 — Whitehead asks whether every connected subcomplex of an aspherical 2-complex is aspherical (Ann. of Math. 1941).
  • 1957 — Eilenberg and Ganea prove cd⁡=gd⁡\operatorname{cd}=\operatorname{gd}cd=gd for cd⁡≥3\operatorname{cd}\ge3cd≥3 and pose the dimension-two question (Ann. of Math. 1957).
  • 1968–1969 — Stallings proves that finitely generated groups of cohomological dimension one are free (Ann. of Math. 1968); Swan removes finite generation (J. Algebra 1969).
  • 1997 — Bestvina and Brady introduce height kernels of right-angled Artin groups and show that for suitable flag triangulations of a spine of the Poincaré homology sphere at least one of the Eilenberg–Ganea and Whitehead conjectures fails (Invent. Math. 1997, Thm 8.7).
  • 1999 — Dicks and Leary give presentations of these kernels (Proc. AMS 1999); Howie studies them via plus constructions (Math. Proc. Camb. Phil. Soc. 1999).
  • 2026 — Leary and Petrosyan compare Coxeter and Bestvina–Brady candidates for the problem (arXiv:2605.07853).
  • 2026 — An OpenAI preprint, A finitely generated counterexample to the Eilenberg–Ganea conjecture (OpenAI Math Release, September 23, 2026), claims a finitely generated residually finite group with cd⁡=2\operatorname{cd}=2cd=2 and gd⁡=3\operatorname{gd}=3gd=3. The preprint has not been peer reviewed and its theorem is not formally verified.

Setting

For a finite simplicial graph Δ\DeltaΔ with vertex set VVV, the right-angled Artin group is

AΔ=⟨aq (q∈V) ∣ aqaraq−1ar−1=1 whenever q,r are adjacent⟩,A_\Delta=\bigl\langle a_q\ (q\in V)\ \bigm|\ a_qa_ra_q^{-1}a_r^{-1}=1\ \text{whenever } q,r \text{ are adjacent}\bigr\rangle ,AΔ​=⟨aq​ (q∈V) ​ aq​ar​aq−1​ar−1​=1 whenever q,r are adjacent⟩,

and the height homomorphism λ:AΔ→Z\lambda:A_\Delta\to\mathbb Zλ:AΔ​→Z sends every aqa_qaq​ to 111. Its kernel is a Bestvina–Brady group.

The specific graph comes from the presentation complex KKK of ⟨x,y∣x2y−5, x2(yx−1)3⟩\langle x,y\mid x^2y^{-5},\ x^2(yx^{-1})^{3}\rangle⟨x,y∣x2y−5, x2(yx−1)3⟩, which is integrally acyclic and has a nontrivial representation of its fundamental group into SU(2)\mathrm{SU}(2)SU(2). Subdivide each of the two loops of KKK into three edges, cone the boundary of each relator polygon to a new interior vertex (keeping one radial edge per boundary occurrence), and take the order complex of the resulting regular cell structure (7 vertices, 51 edges, 45 triangular sectors). This is a flag triangulation LLL of KKK; Δ\DeltaΔ is its 1-skeleton, i.e. the comparability graph of the cells. The group is G=ker⁡λ≤AΔG=\ker\lambda\le A_\DeltaG=kerλ≤AΔ​.

A group is residually finite if every nontrivial element survives in some finite quotient.

Formalization targets

Goal: the counterexample (Theorem 1.1)

For the group GGG above,

G is finitely generated and residually finite,cd⁡G=2,G has a 3-dimensional K(G,1),G has no 2-dimensional K(G,1).G\ \text{is finitely generated and residually finite},\qquad \operatorname{cd}G=2,\qquad G \text{ has a 3-dimensional } K(G,1),\qquad G \text{ has no 2-dimensional } K(G,1).G is finitely generated and residually finite,cdG=2,G has a 3-dimensional K(G,1),G has no 2-dimensional K(G,1).

In particular gd⁡G=3≠2=cd⁡G\operatorname{gd}G=3\ne2=\operatorname{cd}GgdG=3=2=cdG. The non-existence clause holds for classifying spaces with any number of cells. The goal statement is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. The theorem disproves the Eilenberg–Ganea conjecture with a finitely generated (indeed type FL\mathrm{FL}FL, but not finitely presented) residually finite group, so the conjecture fails even for countable groups with strong finiteness properties. By Bestvina–Brady's dichotomy the Whitehead conjecture is not directly decided by this example, but the gap between the algebraic and geometric dimensions in dimension two is now exhibited concretely.

Formalizing it. The statement is concrete: an explicit finite graph, its Artin group and height kernel, a projective dimension, and existence/non-existence of CW models. The non-existence clause ranges over all CW complexes of arbitrary cardinality, which is exactly the kind of universally quantified topological claim where a machine check is valuable. Groundwork includes classifying spaces in Mathlib's CW-complex framework, projective dimension over group rings, and Bestvina–Brady Morse theory.

Difficulty

The kernel acts freely on an acyclic 2-complex, which gives cd⁡G≤2\operatorname{cd}G\le2cdG≤2, but an acyclic complex need not be contractible, and showing that one particular 2-dimensional model fails to be a K(G,1)K(G,1)K(G,1) says nothing about other models. The obstacle is to rule out every hypothetical two-dimensional classifying space, with arbitrarily many cells, and to do so for a group that is not finitely presented. Homological invariants cannot see the difference, since they agree with those of a genuine 2-dimensional model.

Formalization scope

  • The seed complex is encoded combinatorially: signed relator words seedWord, rose vertices, circle edges and sectors; seedGraph is the comparability graph of the cell face relation. ArtinGroup is a PresentedGroup on commutators of adjacent vertices, height sends each generator to 111 in Multiplicative ℤ, and SourceGroup is its kernel.
  • cohomologicalDimension is the categorical projective dimension (in WithBot ℕ∞) of the trivial Z[G]\mathbb Z[G]Z[G]-module in ModuleCat.
  • HasClassifyingSpace G n asks for a Hausdorff, path-connected CW complex with no cells above dimension nnn, fundamental group isomorphic to GGG, and a surjective covering map from a contractible space. The positive clause is stated in universe 0; the negative clause is universe-polymorphic, so no restriction on the cardinality of cells is imposed.
  • Needed infrastructure: Bestvina–Brady level complexes, presentations of height kernels, residual finiteness of RAAG subgroups, SU(2)\mathrm{SU}(2)SU(2) representations and degree arguments.

Selected references

  • S. Eilenberg and T. Ganea, On the Lusternik–Schnirelmann category of abstract groups, Ann. of Math. 65 (1957). https://doi.org/10.2307/1970062
  • J. H. C. Whitehead, On adding relations to homotopy groups, Ann. of Math. 42 (1941). https://doi.org/10.2307/1968907
  • J. R. Stallings, On torsion-free groups with infinitely many ends, Ann. of Math. 88 (1968). https://doi.org/10.2307/1970577
  • R. G. Swan, Groups of cohomological dimension one, J. Algebra 12 (1969). https://doi.org/10.1016/0021-8693(69)90030-1
  • M. Bestvina and N. Brady, Morse theory and finiteness properties of groups, Invent. Math. 129 (1997). https://doi.org/10.1007/s002220050168
  • W. Dicks and I. J. Leary, Presentations for subgroups of Artin groups, Proc. Amer. Math. Soc. 127 (1999). https://doi.org/10.1090/S0002-9939-99-04873-X
  • J. Howie, Bestvina–Brady groups and the plus construction, Math. Proc. Cambridge Philos. Soc. 127 (1999). https://doi.org/10.1017/S0305004199003928
  • I. J. Leary and N. Petrosyan, Universal structure of graph product kernels, preprint, 2026. https://arxiv.org/abs/2605.07853v1
  • OpenAI, A finitely generated counterexample to the Eilenberg–Ganea conjecture, OpenAI Math Release preprint, September 23, 2026 (source of the goal; Theorem 1.1, p. 1). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-finitely-generated-counterexample-to-the-Eilenberg-Ganea-conjecture-September-23-2026/paper.pdf
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Functional AnalysisGroup Theory·Captain: wurtle

Thompson's group F is nonamenableResearch Paper

Motivation

Thompson's group FFF consists of the increasing piecewise linear homeomorphisms of [0,1][0,1][0,1] with finitely many pieces, dyadic rational breakpoints, and slopes that are integer powers of 222. It is finitely presented, has strong topological finiteness properties, and appears across group theory, dynamics and logic. Whether FFF is amenable, i.e. whether its bounded functions admit a translation-invariant mean, is one of the best-known open questions about a single explicit group. It is a natural test case because the two classical routes to deciding amenability both fail: FFF contains no nonabelian free subgroup (Brin–Squier 1985), so the free-subgroup obstruction is unavailable, yet FFF is not elementary amenable (Cannon–Floyd–Parry 1996, Theorem 4.10). Geoghegan conjectured in 1979 that FFF is nonamenable. The problem has attracted claimed resolutions in both directions, several later withdrawn or found to contain errors.

This mission asks for a formal proof of nonamenability as stated in an OpenAI preprint dated September 23, 2026 (source). The preprint has not been peer reviewed and its claims have not been independently verified; on the platform the Lean goal is open.

Background

  • 1929–1957 — Von Neumann and Day develop invariant means and amenability (Fund. Math. 1929; Illinois J. Math. 1957); Følner's criterion (Math. Scand. 1955).
  • 1965–1973 — Thompson introduces FFF; an early published construction is McKenzie–Thompson (1973).
  • 1979 — Geoghegan conjectures that FFF is nonamenable (recorded in Cannon–Floyd–Parry 1996, p. 227).
  • 1984–1985 — Brown and Geoghegan: FFF is FP∞\mathrm{FP}_\inftyFP∞​ (Invent. Math. 1984); Brin and Squier: no nonabelian free subgroups (Invent. Math. 1985).
  • 2009–2013 — Shavgulidze's amenability claim (arXiv:0906.0107) and Moore's identification of its errors (arXiv:1102.0747); Moore's tower lower bounds for Følner functions (GGD 2013) and Ramsey characterization of amenability (Fund. Math. 2013); Moore's later amenability manuscript is withdrawn (arXiv:1209.2063).
  • 2017 — Haagerup and Olesen: C∗C^*C∗-simplicity of TTT would imply nonamenability of FFF (JFA 2017).
  • 2021–2026 — Akhmedov's nonamenability claim via height functions (arXiv:1310.4395v3); Guba's density estimates (J. Comb. Algebra 2025; J. Algebra 2026).

Setting

A homeomorphism fff of [0,1][0,1][0,1] is a dyadic PL map if there are dyadic rationals 0=x0<x1<⋯<xk=10=x_0<x_1<\dots<x_k=10=x0​<x1​<⋯<xk​=1 and integers eie_iei​ such that on each [xi−1,xi][x_{i-1},x_i][xi−1​,xi​], f(x)=f(xi−1)+2ei(x−xi−1)f(x)=f(x_{i-1})+2^{e_i}(x-x_{i-1})f(x)=f(xi−1​)+2ei​(x−xi−1​). The group FFF is the set of increasing dyadic PL homeomorphisms of [0,1][0,1][0,1], with multiplication hg=h∘ghg=h\circ ghg=h∘g, regarded as a discrete group. Let ℓ∞(F;R)\ell^\infty(F;\mathbb R)ℓ∞(F;R) be the bounded real functions on FFF. A left-invariant mean is a linear functional M:ℓ∞(F;R)→RM:\ell^\infty(F;\mathbb R)\to\mathbb RM:ℓ∞(F;R)→R with M(1)=1M(\mathbf 1)=1M(1)=1, M(φ)≥0M(\varphi)\ge0M(φ)≥0 whenever φ≥0\varphi\ge0φ≥0, and M(g↦φ(hg))=M(φ)M(g\mapsto\varphi(hg))=M(\varphi)M(g↦φ(hg))=M(φ) for every h∈Fh\in Fh∈F. FFF is amenable if such a mean exists.

Formalization targets

Goal: Theorem 1.1 (p. 1)

Thompson's group FFF is not amenable: there is no positive, normalized, left-invariant mean on ℓ∞(F;R)\ell^\infty(F;\mathbb R)ℓ∞(F;R).

Significance

The result itself. It settles Geoghegan's conjecture and the amenability problem for FFF. Because FFF has no free subgroups, FFF becomes a finitely presented, torsion-free example of a nonamenable group without free subgroups. Through companion results the preprint derives that FFF has uniformly bounded representations that are not unitarizable (Corollary 3.1, p. 7) and that Bernoulli percolation on every Cayley graph of FFF has a nonuniqueness phase (Corollary 3.2, p. 8). The proof is short (Section 2) and uses an infinite-dimensional fixed-point phenomenon: the Benyamini–Sternfeld theorem that the unit ball of an infinite-dimensional Hilbert space admits a Lipschitz self-map moving every point by at least a fixed δ>0\delta>0δ>0 (Lemma 1.2, p. 2; Proc. AMS 1983).

Formalizing it. Given the length of the published argument, this is a realistic target for a complete formal proof of a result that had been open for over forty years. It needs the dyadic-partition model of FFF, the Følner criterion (forward direction), and a Lipschitz map on a Hilbert ball with no approximate fixed points (Appendix A of the preprint constructs one on L2([0,1];R2)L^2([0,1];\mathbb R^2)L2([0,1];R2) with δ=1/2\delta=1/2δ=1/2). The Følner direction from invariant means to Følner sets is reusable infrastructure for amenability in Mathlib.

Difficulty

Neither standard obstruction applies: there is no free subgroup to produce a paradoxical decomposition, and no structural closure property shows amenability. Følner sets, if they existed, would have to grow extremely fast (Moore's tower bounds), so explicit counting is ineffective. The preprint's argument converts approximate invariance of a finite set A⊂FA\subset FA⊂F into an approximate fixed point of a Lipschitz map on a Hilbert ball, via recursively defined Hilbert-valued colours of dyadic partitions. The delicate points are exact covariance of normalized restrictions under the group action (equation (2.2), p. 4) and controlling the diagonal and nested pairs in the correlation expansion, which yields a uniform lower bound on the relative boundary of every finite set (Proposition 2.3, p. 5).

Formalization scope

  • UnitInterval is Set.Icc (0:ℝ) 1; an element of F is a homeomorphism of it that is StrictMono and has a DyadicPLWitness: finitely many strictly increasing dyadic knots from 000 to 111 and integer exponents with the affine formula on each piece.
  • The goal asserts that some group structure on F exists whose multiplication is composition ((h * g) x = h (g x)); since multiplication is fixed, this structure is unique.
  • InvariantMean F is a real-linear functional on lp (fun _ : F => ℝ) ∞ that is positive, sends the constant 111 to 111, and is invariant under leftPull h, φ↦(g↦φ(hg))\varphi\mapsto(g\mapsto\varphi(hg))φ↦(g↦φ(hg)); the goal is ¬ Nonempty (InvariantMean F).
  • No generating set, Følner constant or boundary bound is fixed in the statement, so the goal is stable under improved constants.

Selected references

  • OpenAI, Thompson's group F is nonamenable, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Thompsons-group-F-is-nonamenable-September-23-2026/paper.pdf
  • J. W. Cannon, W. J. Floyd, W. R. Parry, Introductory notes on Richard Thompson's groups, Enseign. Math. (2) 42 (1996), 215–256. https://www.imo.universite-paris-saclay.fr/~emmanuel.breuillard/Cannon.pdf
  • M. G. Brin, C. C. Squier, Groups of piecewise linear homeomorphisms of the real line, Invent. Math. 79 (1985), 485–498. https://doi.org/10.1007/BF01388519
  • K. S. Brown, R. Geoghegan, An infinite-dimensional torsion-free FP∞\mathrm{FP}_\inftyFP∞​ group, Invent. Math. 77 (1984), 367–381. https://doi.org/10.1007/BF01388451
  • Y. Benyamini, Y. Sternfeld, Spheres in infinite-dimensional normed spaces are Lipschitz contractible, Proc. Amer. Math. Soc. 88 (1983), 439–445. https://doi.org/10.1090/S0002-9939-1983-0699410-7
  • E. Følner, On groups with full Banach mean value, Math. Scand. 3 (1955), 243–254. https://doi.org/10.7146/math.scand.a-10442
  • J. T. Moore, Amenability and Ramsey theory, Fund. Math. 220 (2013), 263–280. https://doi.org/10.4064/fm220-3-6
  • J. T. Moore, Fast growth in the Følner function for Thompson's group F, Groups Geom. Dyn. 7 (2013), 633–651. https://doi.org/10.4171/GGD/201
  • U. Haagerup, K. K. Olesen, Non-inner amenability of the Thompson groups T and V, J. Funct. Anal. 272 (2017), 4838–4852. https://doi.org/10.1016/j.jfa.2017.02.003
  • M. M. Day, Amenable semigroups, Illinois J. Math. 1 (1957), 509–544. https://doi.org/10.1215/ijm/1255380675
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Geometry & TopologyGroup Theory·Captain: wurtle

A Modulus Proof of Cannon’s ConjectureResearch Paper

Motivation

A finitely generated group is (word-)hyperbolic if the geodesic triangles in its Cayley graph are uniformly thin, as in the hyperbolic plane. Such a group has a boundary at infinity ∂G\partial G∂G, a compact space of asymptotic directions. The fundamental group of a closed hyperbolic 3-manifold is hyperbolic with boundary the 2-sphere. Cannon's conjecture asks for the converse: if a hyperbolic group has boundary homeomorphic to S2S^2S2, does it act geometrically on hyperbolic three-space H3\mathbb H^3H3? An affirmative answer characterizes, purely in terms of coarse geometry, which groups arise from closed hyperbolic 3-manifolds; it is one of the central problems of geometric group theory and is closely tied to the geometrization program for 3-manifolds.

Timeline

  • 1981, 1980. Sullivan and Tukia show that groups of uniformly quasiconformal maps of the sphere are conjugate to Möbius groups (Sullivan, Stony Brook 1978 proceedings; Tukia, doi:10.5186/aasfm.1980.0530).
  • 1989. Pansu introduces conformal dimension of boundaries (doi:10.5186/aasfm.1989.1424).
  • 1994. Cannon's combinatorial Riemann mapping theorem recovers quasiconformal coordinates from discrete moduli (doi:10.1007/BF02398434).
  • 1998. Cannon and Swenson state the group-boundary conjecture and relate geometric actions to conformality of boundary coverings (doi:10.1090/S0002-9947-98-02107-2).
  • 1999. Cannon, Floyd and Parry reduce the problem to bounded discrete moduli of annuli at small scales (Ann. Acad. Sci. Fenn. Math., 1999).
  • 2002, 2005. Bonk and Kleiner develop quasisymmetric uniformization of metric spheres and prove the conjecture when the Ahlfors-regular conformal dimension is attained (doi:10.1007/s00222-002-0233-z, doi:10.2140/gt.2005.9.219).
  • 2012–2013. Kahn–Marković, Bergeron–Wise, Agol and Marković connect surface subgroups, cubulation and Kleinian realizations (doi:10.4007/annals.2012.175.3.4, doi:10.4171/DM/421, doi:10.1007/s00039-013-0228-5). Bourdon and Kleiner give a combinatorial-modulus criterion for uniformization (doi:10.4171/GGD/177).
  • 2015. Haïssinsky proves a virtual Kleinian criterion for cubulated hyperbolic groups with planar boundary (doi:10.1007/s00222-014-0552-x).
  • 2026. Groves, Haïssinsky, Manning, Osajda, Sisto and Walsh reduce the residually finite case to the Toral Relative Cannon conjecture (arXiv:2406.14667).

The source of this mission, an OpenAI preprint dated September 23, 2026, follows the analytic route and proves the conjecture.

Setting

Let GGG be a group with a finite symmetric generating set SSS and Cayley graph Γ(G,S)\Gamma(G,S)Γ(G,S) with graph distance ddd. GGG is hyperbolic if there is δ\deltaδ such that every point on a side of a geodesic triangle lies within d≤δd\le\deltad≤δ of the union of the other two sides. A geodesic ray based at 111 is a sequence r0=1,r1,…r_0=1,r_1,\dotsr0​=1,r1​,… with d(ri,rj)=∣i−j∣d(r_i,r_j)=|i-j|d(ri​,rj​)=∣i−j∣; two rays are equivalent if d(rn,sn)d(r_n,s_n)d(rn​,sn​) stays bounded. The boundary ∂G\partial G∂G is the set of equivalence classes with the quotient of the topology of pointwise convergence.

H3\mathbb H^3H3 is the upper half-space {x∈R3:x3>0}\{x\in\mathbb R^3: x_3>0\}{x∈R3:x3​>0} with distance arcosh⁡(1+∣x−y∣2/(2x3y3))\operatorname{arcosh}\bigl(1+|x-y|^2/(2x_3y_3)\bigr)arcosh(1+∣x−y∣2/(2x3​y3​)), and Isom⁡(H3)\operatorname{Isom}(\mathbb H^3)Isom(H3) is its full isometry group, including orientation-reversing isometries. A homomorphism ρ:G→Isom⁡(H3)\rho:G\to\operatorname{Isom}(\mathbb H^3)ρ:G→Isom(H3) gives a proper action if {g:ρ(g)K∩K≠∅}\{g:\rho(g)K\cap K\ne\varnothing\}{g:ρ(g)K∩K=∅} is finite for every compact KKK, and a cocompact action if translates of one compact set cover H3\mathbb H^3H3.

Formalization targets

Goal: Theorem 1.1

G hyperbolic, ∂G≅S2 ⟹ ∃ ρ:G→Isom⁡(H3) proper, cocompact, with ker⁡ρ finite.G\ \text{hyperbolic},\ \partial G\cong S^2\ \Longrightarrow\ \exists\,\rho:G\to\operatorname{Isom}(\mathbb H^3)\ \text{proper, cocompact, with }\ker\rho\ \text{finite}.G hyperbolic, ∂G≅S2 ⟹ ∃ρ:G→Isom(H3) proper, cocompact, with kerρ finite.

The Lean statement OAI.CannonRelease.cannon is open on the platform.

Significance

The theorem identifies hyperbolic groups with 2-sphere boundary, up to finite kernels, with uniform lattices in Isom⁡(H3)\operatorname{Isom}(\mathbb H^3)Isom(H3). For torsion-free GGG, the quotient H3/G\mathbb H^3/GH3/G is a closed hyperbolic 3-manifold, possibly nonorientable (Corollary 8.1), and the work of Kahn–Marković, Bergeron–Wise and Agol then gives virtual structure results (Corollary 8.2). It also settles the hypotheses of the reductions of Marković and of Groves et al. in full generality.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists. A formal proof would require formal infrastructure for hyperbolic groups and their boundaries, quasiconformal analysis and combinatorial modulus, very little of which is currently in Mathlib.

Difficulty

By the Cannon–Floyd–Parry and Bourdon–Kleiner criteria, the theorem reduces to a uniform upper bound on the combinatorial 2-modulus of curve families at all scales of the boundary. The bound is easy to state but there is no a priori reason why moduli of coverings of a topological sphere should stay bounded; Bonk–Kleiner needed the extra hypothesis that the conformal dimension is attained. A proof must extract analytic control (a nonconstant limit function with controlled oscillation) from a hypothetical sequence of coverings with unbounded modulus and contradict it using only hyperbolicity and the topology of the boundary.

Formalization scope

  • CayleyData G is a finite symmetric generating set with connected SimpleGraph.mulCayley; ThinTriangles asks for one natural number δ\deltaδ working for all geodesic triangles given as walks of length equal to graph distance.
  • Rays are ℕ → G with r 0 = 1 and dist (r i) (r j) = |i-j|; the boundary is the quotient by bounded synchronous distance. GGG carries the discrete topology, rays the subspace product topology, and the boundary the quotient topology, which coincides with the visual topology for hyperbolic groups.
  • S2S^2S2 is the unit sphere in EuclideanSpace ℝ (Fin 3); H3\mathbb H^3H3 is the upper half-space with the explicit arcosh distance and subspace topology; isometries are self-homeomorphisms preserving that distance.
  • The kernel is only required to be finite, and orientation-reversing elements are allowed, matching the paper.

A complete development needs Gromov hyperbolic groups and visual metrics, approximately self-similar spheres, combinatorial modulus and the Bonk–Kleiner/Bourdon–Kleiner uniformization criterion, and the Sullivan–Tukia straightening of uniformly quasiconformal groups. Contributions formalizing Proposition 2.6 (from a round boundary action to a geometric action on H3\mathbb H^3H3) or Theorem 2.5 (the uniformization criterion) are welcome.

Selected references

  • OpenAI, A Modulus Proof of Cannon's Conjecture, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Modulus-Proof-of-Cannons-Conjecture-September-23-2026/paper.pdf
  • J. W. Cannon, The combinatorial Riemann mapping theorem, Acta Math., 1994. https://doi.org/10.1007/BF02398434
  • J. W. Cannon, E. L. Swenson, Recognizing constant curvature discrete groups in dimension 3, Trans. Amer. Math. Soc., 1998. https://doi.org/10.1090/S0002-9947-98-02107-2
  • J. W. Cannon, W. J. Floyd, W. R. Parry, Sufficiently rich families of planar rings, Ann. Acad. Sci. Fenn. Math., 1999. https://www.acadsci.fi/mathematica/Vol24/cannon.pdf
  • M. Bonk, B. Kleiner, Quasisymmetric parametrizations of two-dimensional metric spheres, Invent. Math., 2002. https://doi.org/10.1007/s00222-002-0233-z
  • M. Bonk, B. Kleiner, Conformal dimension and Gromov hyperbolic groups with 2-sphere boundary, Geom. Topol., 2005. https://doi.org/10.2140/gt.2005.9.219
  • M. Bourdon, B. Kleiner, Combinatorial modulus, the combinatorial Loewner property, and Coxeter groups, Groups Geom. Dyn., 2013. https://doi.org/10.4171/GGD/177
  • V. Marković, Criterion for Cannon's conjecture, Geom. Funct. Anal., 2013. https://doi.org/10.1007/s00039-013-0228-5
  • P. Haïssinsky, Hyperbolic groups with planar boundaries, Invent. Math., 2015. https://doi.org/10.1007/s00222-014-0552-x
  • D. Groves, P. Haïssinsky, J. F. Manning, D. Osajda, A. Sisto, G. S. Walsh, Drilling hyperbolic groups, preprint, 2026. https://arxiv.org/abs/2406.14667
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Weak and strong normalization in pure type systemsResearch Paper

Motivation: does having a normal form imply termination?

Pure type systems (PTSs) are a uniform framework covering the simply typed λ-calculus, System F, the calculus of constructions and the type theories behind proof assistants such as Coq and Lean. A system is specified by its sorts (like ∗\ast∗ and □\square□), axioms (∗:□\ast:\square∗:□) and product rules (which dependent function types may be formed). Normalization is the key metatheoretic property: it underlies logical consistency and decidability of type checking. There are two versions. A term is weakly normalizing if some sequence of β-reductions reaches a normal form, and strongly normalizing if every reduction sequence is finite. Strong normalization is what implementations need (any evaluation strategy terminates) but it is much harder to prove. The Barendregt–Geuvers–Klop conjecture asserts that, for pure type systems, the system-wide weak property already implies the strong one.

Timeline

  • 1989 — Girard's Proofs and Types presents the Tait–Girard reducibility method for strong normalization (book).
  • 1993 — Geuvers states the system-wide conjecture for β and βη reduction in his thesis (Logics and Type Systems, Nijmegen, Conjecture 8.1.2) (thesis).
  • 1997 — Sørensen proves the implication for generalized nondependent, clean, negatable systems via continuation-passing translations (thesis, Copenhagen, Theorem 3.5.20).
  • 2001 — Barthe, Hatcliff and Sørensen prove a uniform nondependent version (TCS 2001).
  • 2006 — Barthe and Coquand show that erasing λ-domain annotations can identify non-convertible terms in non-normalizing PTSs (JFP 2006), a constraint on erasure-based approaches.
  • 2014 — Roux and van Doorn develop a structural theory of PTSs, preserving weak normalization under sums and added rules (RTA–TLCA 2014).
  • 2023 — Mull reduces the conjecture within tiered systems to an irrelevance-eliminating translation (TYPES 2022, LIPIcs 2023) and extends the nondependent results in his thesis (Chicago, 2023).
  • 2025 — Roux proposes internal strong-normalization proofs for specific systems (TYPES 2025 abstract).
  • 2026 — An OpenAI preprint, Weak and strong normalization in pure type systems (OpenAI Math Release, September 25, 2026), claims the β-version of the conjecture for every PTS, with no functionality assumption. The preprint has not been peer reviewed and its theorem is not formally verified.

Setting

A specification consists of a type SSS of sorts, an axiom relation A⊆S2\mathcal A\subseteq S^2A⊆S2 and a rule relation R⊆S3\mathcal R\subseteq S^3R⊆S3; neither is assumed functional. Expressions are

M,N,A,B::=x∣s∣MN∣λx:A. M∣Πx:A. B,s∈S,M,N,A,B ::= x\mid s\mid MN\mid \lambda x{:}A.\,M\mid \Pi x{:}A.\,B,\qquad s\in S,M,N,A,B::=x∣s∣MN∣λx:A.M∣Πx:A.B,s∈S,

up to renaming of bound variables. β-reduction is the compatible closure of (λx:A.M)N→βM[x:=N](\lambda x{:}A.M)N\to_\beta M[x:=N](λx:A.M)N→β​M[x:=N], with steps allowed everywhere, including inside the annotation AAA of a λ and both parts of a Π. Typing Γ⊢M:A\Gamma\vdash M:AΓ⊢M:A is generated by the seven standard PTS rules (axiom, variable, weakening, product, abstraction, application, conversion up to =β=_\beta=β​). A context is valid if each declared type is typed by a sort in the preceding prefix, and MMM is legal in Γ\GammaΓ if Γ⊢M:A\Gamma\vdash M:AΓ⊢M:A or Γ⊢A:M\Gamma\vdash A:MΓ⊢A:M for some AAA.

The system is weakly (strongly) normalizing if every legal expression in every valid context is weakly (strongly) normalizing.

Formalization targets

Goal: β-Barendregt–Geuvers–Klop (Theorem 1)

For every specification P=(S,A,R)\mathcal P=(S,\mathcal A,\mathcal R)P=(S,A,R),

(∀Γ valid, ∀M legal in Γ: M is weakly β-normalizing) ⟹ (∀Γ valid, ∀M legal in Γ: M is strongly β-normalizing).\bigl(\forall \Gamma\ \text{valid},\ \forall M\ \text{legal in }\Gamma:\ M\ \text{is weakly }\beta\text{-normalizing}\bigr) \ \Longrightarrow\ \bigl(\forall \Gamma\ \text{valid},\ \forall M\ \text{legal in }\Gamma:\ M\ \text{is strongly }\beta\text{-normalizing}\bigr).(∀Γ valid, ∀M legal in Γ: M is weakly β-normalizing) ⟹ (∀Γ valid, ∀M legal in Γ: M is strongly β-normalizing).

Both quantifiers range over the whole system; the theorem does not claim that an individual weakly normalizing term is strongly normalizing, and it says nothing about η-reduction. The goal statement is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. For any PTS, a proof that every legal term has a normal form now yields termination of every β-reduction strategy, including reductions inside types and annotations that may continue after the computational body is normal. Earlier results needed nondependent products, cleanliness, negatability, a tiered sort hierarchy, or a translation requiring extra product rules; the general case — arbitrary sorts and nonfunctional rules — was not covered by any earlier result since Geuvers' 1993 formulation.

Formalizing it. The statement is entirely syntactic and finitary, so it is a natural target for a proof assistant, and the relevant objects (de Bruijn syntax, substitution, typing derivations) are standard formalization material. The proof in the source is long (over 70 pages) and combines reducibility candidates with a fixed-point construction over sort profiles; a machine check would substantially raise confidence. A formal PTS metatheory library (substitution lemmas, confluence, subject reduction) would be reusable for other type-theory formalizations.

Difficulty

The obvious route — reducibility candidates à la Tait–Girard — needs a model of types built by recursion on sorts, which fails for impredicative or nonfunctional specifications where a type can have several sorts and no hierarchy is available. Translation methods (CPS or irrelevance elimination) need specific product rules to preserve typing, which a general specification may lack. Weak normalization of one term cannot be used alone; the argument must exploit normal forms of other open expressions. Annotations add a further complication: erasing them can change the equational theory (Barthe–Coquand), so reduction inside annotations must be tracked rather than erased.

Formalization scope

  • Expressions use de Bruijn indices (Expr S with var, sort, app, lam, pi), so α-equivalence is syntactic; substitution is parallel substitution with lifting.
  • Beta is full compatible closure, including lam_domain, pi_domain and pi_body steps; conversion is Relation.EqvGen Beta.
  • HasType has exactly the seven PTS rules; contexts are lists stored newest-first, each declaration typed in its prefix (ValidContext). Legal includes expressions occurring as types.
  • Weak normalization is reduction to a normal form; strong normalization is accessibility for the converse of Beta.
  • The sort type S is arbitrary (any universe), and axioms and rules are arbitrary relations: no functionality, finiteness or hierarchy assumptions.
  • Needed infrastructure: renaming/substitution lemmas, confluence of β, subject reduction for PTSs, reducibility candidates. All are reusable for any PTS formalization.

Selected references

  • J. H. Geuvers, Logics and Type Systems, PhD thesis, Katholieke Universiteit Nijmegen, 1993. https://www.cs.ru.nl/~herman/PUBS/Proefschrift.pdf
  • J.-Y. Girard, Proofs and Types, Cambridge University Press, 1989. https://www.paultaylor.eu/stable/prot.pdf
  • M. H. B. Sørensen, Normalization in λ-Calculus and Type Theory, PhD thesis, University of Copenhagen, 1997. https://di.ku.dk/forskning/Publikationer/tekniske_rapporter/tekniske-rapporter-1997/97-27.pdf
  • G. Barthe, J. Hatcliff and M. H. Sørensen, Weak normalization implies strong normalization in a class of non-dependent pure type systems, Theoret. Comput. Sci. (2001). https://doi.org/10.1016/S0304-3975(01)00012-3
  • G. Barthe and T. Coquand, Remarks on the equational theory of non-normalizing pure type systems, J. Funct. Programming (2006). https://doi.org/10.1017/S0956796803004726
  • C. Roux and F. van Doorn, The structural theory of pure type systems, RTA–TLCA 2014. https://doi.org/10.1007/978-3-319-08918-8_25
  • N. Mull, An irrelevancy-eliminating translation of pure type systems, TYPES 2022, LIPIcs, 2023. https://doi.org/10.4230/LIPIcs.TYPES.2022.7
  • OpenAI, Weak and strong normalization in pure type systems, OpenAI Math Release preprint, September 25, 2026 (source of the goal; Theorem 1, p. 3). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Weak-and-strong-normalization-in-pure-type-systems-September-25-2026/paper.pdf
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Witnessed symmetric choice is strictly stronger than choiceless polynomial time with countingResearch Paper

Motivation

A logic for unordered finite structures (graphs, databases, relational inputs given up to isomorphism) must give answers that do not depend on how the input elements are named. Many polynomial-time algorithms nevertheless make arbitrary intermediate choices, for example the pivot in Gaussian elimination, without changing their final answer. Choiceless polynomial time with counting (CPT), introduced by Blass, Gurevich and Shelah (1999), forbids such choices entirely: it computes with hereditarily finite sets over the input elements and can count, but can never pick one element from a set merely because the set is nonempty.

Witnessed symmetric choice (WSC), in the form of Lichter and Schweitzer (2022, arXiv version 3), adds a controlled form of choice: the logic may pick an element of a set provided it also constructs automorphisms of the input showing that all elements of that set are interchangeable, so the answer cannot depend on which one was picked. Lichter and Schweitzer asked whether CPT + WSC is strictly more expressive than CPT. This mission concerns a proof that it is.

Timeline

  • 1992. Cai, Fürer and Immerman construct graph pairs that hide a global parity obstruction from bounded-variable counting logic (doi:10.1007/BF01305232).
  • 1998. Gire and Hoang introduce a fixpoint logic with a symmetry-based choice construct (doi:10.1006/inco.1998.2712).
  • 1999, 2002. Blass, Gurevich and Shelah introduce choiceless polynomial time and its counting extension, and study CFI and linear-algebra instances (doi:10.1016/S0168-0072(99)00005-6, doi:10.2178/jsl/1190150152).
  • 2003. Dawar and Richerby define a fixed-point logic with symmetric choice, with parameters and nesting (doi:10.1007/978-3-540-45220-1_16).
  • 2008. Dawar, Richerby and Rossman show that preordered CFI queries are CPT-definable, and that bounded-rank CPT fails on them (doi:10.1016/j.apal.2007.11.011).
  • 2014–2021. Abu Zaid, Grädel, Grohe and Pakusa, and Lichter and Schweitzer, obtain CPT canonization for structures with small abelian, dihedral or cyclic colour classes (doi:10.1007/978-3-662-44522-8_5, doi:10.4230/LIPIcs.CSL.2021.31).
  • 2010–2023. Rossman and Pago prove functional lower bounds for CPT (doi:10.1007/978-3-642-15025-8_28, doi:10.4230/LIPIcs.CSL.2021.33, doi:10.4230/LIPIcs.MFCS.2023.73).
  • 2022–2023. Lichter and Schweitzer define CPT + WSC, show that definable isomorphism testing yields canonization, and ask whether WSC strictly adds expressive power (arXiv:2205.14003).

The source of this mission is an OpenAI preprint dated September 24, 2026; its companion preprint (September 23, 2026) proves that CPT does not capture polynomial time.

Setting

Let AAA be a finite set of atoms and HF(A)\mathrm{HF}(A)HF(A) the hereditarily finite sets over AAA. CPT terms are built from variables, ∅\emptyset∅, Atoms\mathrm{Atoms}Atoms, Pair(a,b)={a,b}\mathrm{Pair}(a,b)=\{a,b\}Pair(a,b)={a,b}, Union\mathrm{Union}Union, Unique\mathrm{Unique}Unique (the member of a singleton, else ∅\emptyset∅), Card\mathrm{Card}Card (the von Neumann ordinal ∣a∣|a|∣a∣), comprehensions {s(aˉ,u):u∈t(aˉ), θ(aˉ,u)}\{s(\bar a,u):u\in t(\bar a),\ \theta(\bar a,u)\}{s(aˉ,u):u∈t(aˉ), θ(aˉ,u)} and iteration from ∅\emptyset∅; formulas use input relations, equality and Boolean connectives. A sentence (Φ,p)(\Phi,p)(Φ,p) pairs a closed formula with a polynomial ppp that bounds the number of iteration steps and the hereditary size of all intermediate objects on inputs with nnn atoms; exceeding the bounds yields a default or a failure value †\dagger†.

A WSC operator iterates a step term in which, at each stage, a choice term proposes a nonempty set DDD; one element is chosen, and a witness term must produce automorphisms of the entire input that fix the parameters and all earlier stages and map any element of DDD to any other. If the witnesses are valid along every possible choice sequence, the output formula's value on the terminal state is returned; otherwise the value is †\dagger†.

The true-model class of a sentence is the set of finite structures on which it returns true; false and †\dagger† are both outside it.

Formalization targets

Goal: Theorem 1.1

For the fixed vocabulary τ\tauτ of eight binary relations there is a CPT + WSC sentence (Φ,p)(\Phi,p)(Φ,p) with exactly one WSC occurrence such that

(i) (Φ,p) returns true or false on every finite τ-structure;(ii) TrueModels(Φ,p)≠TrueModels(Ψ,q) for every CPT sentence (Ψ,q).\text{(i)}\ (\Phi,p)\ \text{returns true or false on every finite }\tau\text{-structure;}\qquad \text{(ii)}\ \mathrm{TrueModels}(\Phi,p)\neq\mathrm{TrueModels}(\Psi,q)\ \text{for every CPT sentence }(\Psi,q).(i) (Φ,p) returns true or false on every finite τ-structure;(ii) TrueModels(Φ,p)=TrueModels(Ψ,q) for every CPT sentence (Ψ,q).

The Lean statement OAI.WitnessedChoice.main (via BGS.MainStatement) is open on the platform.

Significance

Since every CPT sentence is a CPT + WSC sentence, Theorem 1.1 gives a strict inclusion of definable Boolean queries and answers the expressiveness question posed by Lichter and Schweitzer in the true-model sense. The separation holds against CPT with counting and sets of arbitrary finite rank, not a rank-restricted fragment. It leaves open whether CPT + WSC captures polynomial time and the effect of nesting WSC operators.

The result is proved in an OpenAI preprint, which has not been peer reviewed. No machine-checked proof exists.

Difficulty

Two different tasks must be done. The upper bound requires a legal WSC definition on all inputs, not only on the intended grid structures: witnesses must be genuine automorphisms of the whole input fixing the full history, which the sentence must check, with a fallback when the input is not of the intended shape. The lower bound must defeat every CPT sentence, including those that build nested sets of large rank; rank-sensitive support arguments (Dawar–Richerby–Rossman) do not suffice. The paper uses a nonabelian automorphism group whose central subgroup has rank-independent small supports, then a counting equivalence and a bounded-width description of complete CPT evaluations.

Formalization scope

  • Syntax is a mutual inductive Term n / Formula n with de Bruijn-style Fin n variables, including iterate and the wsc formula; wscCount counts WSC occurrences.
  • Evaluation returns Option (none is †\dagger†). resource p n = ⌊p(n)⌋ bounds iteration length and transitive-closure size.
  • WSC validity (GoodWSC) quantifies over all choice prefixes; witnesses are permutationGraph g for permutations g that are input automorphisms, fix the free parameters and every earlier stage, and act transitively on the choice set.
  • FiniteInput packs any finite carrier type with the eight-symbol relations (Ed, Cf, EB, VB, I, Z δ, δ : ZMod 3). Sentence.isCPT means wscCount = 0.

A complete development needs hereditarily finite sets with permutation actions, support and counting-equivalence theory, and the grid structures; much of this is shared with the companion CPT noncapture mission. Contributions formalizing Proposition 4.4 (a total all-input definition), Proposition 5.3 (transitivity for every parameter tree), Theorem 5.5 (opposite grid answers), Proposition 6.3 (small-orbit support bound), Theorem 8.1 (transfer through small supports) and Theorem 9.3 (eventual equality for every CPT sentence) are welcome.

Selected references

  • OpenAI, Witnessed symmetric choice is strictly stronger than choiceless polynomial time with counting, preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Witnessed-symmetric-choice-is-strictly-stronger-than-choiceless-polynomial-time-with-counting-September-24-2026/paper.pdf
  • OpenAI, Choiceless polynomial time with counting does not capture polynomial time, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Choiceless-polynomial-time-with-counting-does-not-capture-polynomial-time-September-23-2026/paper.pdf
  • M. Lichter, P. Schweitzer, Choiceless polynomial time with witnessed symmetric choice, 2023 (arXiv v3). https://arxiv.org/abs/2205.14003
  • A. Blass, Y. Gurevich, S. Shelah, Choiceless polynomial time, Ann. Pure Appl. Logic, 1999. https://doi.org/10.1016/S0168-0072(99)00005-6
  • A. Blass, Y. Gurevich, S. Shelah, On polynomial time computation over unordered structures, J. Symbolic Logic, 2002. https://doi.org/10.2178/jsl/1190150152
  • A. Dawar, D. Richerby, B. Rossman, Choiceless polynomial time, counting and the Cai–Fürer–Immerman graphs, Ann. Pure Appl. Logic, 2008. https://doi.org/10.1016/j.apal.2007.11.011
  • J.-Y. Cai, M. Fürer, N. Immerman, An optimal lower bound on the number of variables for graph identification, Combinatorica, 1992. https://doi.org/10.1007/BF01305232
  • F. Gire, H. K. Hoang, An extension of fixpoint logic with a symmetry-based choice construct, Inform. and Comput., 1998. https://doi.org/10.1006/inco.1998.2712
  • A. Dawar, D. Richerby, A fixed-point logic with symmetric choice, CSL, 2003. https://doi.org/10.1007/978-3-540-45220-1_16
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Complexity TheoryMathematical LogicTheoretical Computer Science·Captain: wurtle

Choiceless polynomial time with counting does not capture polynomial timeResearch Paper

Motivation

Descriptive complexity asks whether complexity classes can be characterized by logics, without reference to machines. Immerman and Vardi (1982) showed that on ordered finite structures, first-order logic with a least fixed-point operator expresses exactly the polynomial-time queries. On unordered structures, such as graphs given only up to isomorphism, an algorithm must not depend on an arbitrary ordering of the input, and whether some logic captures polynomial time there is a central open question (Chandra–Harel 1982, Gurevich 1988).

Choiceless polynomial time with counting (CPT), introduced by Blass, Gurevich and Shelah (1999), was for decades the strongest candidate: it computes with hereditarily finite sets built over the input elements, can count, and is invariant under automorphisms by construction. Blass, Gurevich and Shelah conjectured that CPT is still a proper fragment of polynomial time. This mission concerns a proof of that conjecture.

Timeline

  • 1982. Immerman and Vardi capture polynomial time on ordered structures by fixed-point logic (doi:10.1145/800070.802187, doi:10.1145/800070.802186); Chandra and Harel raise the unordered question (doi:10.1016/0022-0000(82)90012-5).
  • 1988. Gurevich formulates the question of a logic capturing polynomial time and conjectures that none exists.
  • 1992. Cai, Fürer and Immerman construct polynomial-time graph queries beyond fixed-point logic with counting (doi:10.1007/BF01305232).
  • 1999, 2002. Blass, Gurevich and Shelah introduce choiceless polynomial time and study CFI and linear-algebra instances as potential separating examples (doi:10.1016/S0168-0072(99)00005-6, doi:10.2178/jsl/1190150152).
  • 2000. Shelah claims noncapture for counting extensions; later accounts continue to list the problem as open.
  • 2008. Dawar, Richerby and Rossman show that CFI queries over ordered base graphs are CPT-definable, and that bounded-rank CPT with counting fails on them (doi:10.1016/j.apal.2007.11.011).
  • 2010–2023. Rossman and Pago prove functional lower bounds for CPT (no construction of hyperplanes, no fine preorders on hypercubes) (doi:10.1007/978-3-642-15025-8_28, doi:10.4230/LIPIcs.CSL.2021.33); Grädel, Pakusa, Schalthöfer and Kaiser characterize CPT by iterated first-order interpretations (doi:10.1109/LICS.2015.68).
  • 2025. Dawar, Grädel, Kullmann and Pago still record the capture problem as open (doi:10.4230/LIPIcs.MFCS.2025.40).

The source of this mission is an OpenAI preprint dated September 23, 2026.

Setting

Fix the field F=F3\mathbb F=\mathbb F_3F=F3​ and the vocabulary of eight binary relation symbols τ={Ed,Cf,EB,VB,I,Z0,Z1,Z2}\tau=\{\mathrm{Ed},\mathrm{Cf},\mathrm{EB},\mathrm{VB},I,Z_0,Z_1,Z_2\}τ={Ed,Cf,EB,VB,I,Z0​,Z1​,Z2​}. For a finite τ\tauτ-structure AAA put

Y={y:Ed(y,y)},X={a:Cf(a,a)},Xt={a∈X:VB(t,a)} (t∈X),Y=\{y:\mathrm{Ed}(y,y)\},\quad X=\{a:\mathrm{Cf}(a,a)\},\quad X_t=\{a\in X:\mathrm{VB}(t,a)\}\ (t\in X),Y={y:Ed(y,y)},X={a:Cf(a,a)},Xt​={a∈X:VB(t,a)} (t∈X), C(y,a)=∑x∈Y, I(a,x) ∑δ∈F, Zδ(y,x)δ.C(y,a)=\sum_{x\in Y,\ I(a,x)}\ \sum_{\delta\in\mathbb F,\ Z_\delta(y,x)}\delta .C(y,a)=x∈Y, I(a,x)∑​ δ∈F, Zδ​(y,x)∑​δ.

With unknowns (λa)a∈X(\lambda_a)_{a\in X}(λa​)a∈X​ and (μy)y∈Y(\mu_y)_{y\in Y}(μy​)y∈Y​ (separate families), the system consists of

∑a∈Xtλa=1(t∈X),μy=∑a∈Xtλa C(y,a)\sum_{a\in X_t}\lambda_a=1\quad(t\in X),\qquad \mu_y=\sum_{a\in X_t}\lambda_a\,C(y,a)a∈Xt​∑​λa​=1(t∈X),μy​=a∈Xt​∑​λa​C(y,a)

for every (t,y)∈X×Y(t,y)\in X\times Y(t,y)∈X×Y such that some a∈Xta\in X_ta∈Xt​ and x∈Yx\in Yx∈Y satisfy I(a,x)I(a,x)I(a,x) and EB(y,x)\mathrm{EB}(y,x)EB(y,x). The query Q(A)Q(A)Q(A) says this system is consistent over F3\mathbb F_3F3​. No promise is imposed on the input.

A CPT program is a fixed finite set of rules that updates dynamic functions whose values are hereditarily finite sets over the atoms of AAA, using pairing, union, comprehension, equality, membership, the input relations, and the cardinality operation (which returns a von Neumann ordinal). A program defines QQQ if for fixed polynomials T,ST,ST,S, on every input of size nnn it halts within T(n)T(n)T(n) steps, touches at most S(n)S(n)S(n) hereditarily finite objects, and accepts exactly when Q(A)Q(A)Q(A) holds. No bound on set rank is imposed.

Formalization targets

Goal: Theorem 1

Q is isomorphism-invariant,Q∈P (from an ordered encoding),Q∉CPT.Q\ \text{is isomorphism-invariant},\qquad Q\in\mathrm{P}\ \text{(from an ordered encoding)},\qquad Q\notin\mathrm{CPT}.Q is isomorphism-invariant,Q∈P (from an ordered encoding),Q∈/CPT.

The Lean statement OAI.CPTSeparation.main is the conjunction of these three clauses. It is open on the platform.

Significance

The theorem confirms the Blass–Gurevich–Shelah noncapture conjecture for the full counting formalism: CPT does not capture polynomial time on unordered structures. It removes the leading candidate logic from Gurevich's question, which itself remains open. Because QQQ is expressible in fixed-point logic with a solvability or rank operator over F3\mathbb F_3F3​ (Corollary 3, p. 3), it also shows that neither of those logics is contained in CPT. The lower bound holds for programs of arbitrary set rank, unlike the bounded-rank lower bounds of Dawar–Richerby–Rossman.

The result is proved in an OpenAI preprint, which has not been peer reviewed. No machine-checked proof exists.

Difficulty

The polynomial-time upper bound is Gaussian elimination. The obstacle is the lower bound against every CPT program, including those that build sets of unbounded rank. Bounded-variable counting games handle fixed-point logic with counting but do not by themselves control CPT, which is strictly stronger (it decides CFI queries over ordered base graphs). Rank-dependent support arguments give lower bounds only for each fixed rank. The paper needs support bounds independent of rank, for which it uses a nonabelian automorphism group acting on grid structures, then a counting equivalence for all supported objects, and finally a transfer to complete computations via an interpretation characterization of CPT.

Formalization scope

  • Input A gives a Boolean-valued binary relation for each Symbol (Ed, Cf, EB, VB, I, Z δ with δ : ZMod 3). Input.query is the existence of λ, μ satisfying the normalization and consistency equations exactly as above; an empty system is consistent.
  • OrdinaryPolynomialTime asks for a function on ordered tables and a Turing.TM2ComputableInPolyTime machine with finite alphabets computing it from the cell-by-cell table encoding, agreeing with the query for every ordering of every structure.
  • FullCPT defines terms and rules over hereditarily finite sets (Lists quotient), a state of finitely many nonempty locations, synchronous consistent updates, halt/accept flags, and the set of occurring objects (active elements plus roots of evaluated terms). EvaluationDefinable Q asks for one program and polynomials time, space that accept exactly the inputs satisfying Q, halting within time and with at most space occurring objects.
  • This is the original operational formulation; the paper's proof passes through the interpretation characterization of CPT (Grädel–Pakusa–Schalthöfer–Kaiser), which a formal proof must either formalize or bypass.

A complete development needs: hereditarily finite sets and automorphism actions on them, support theory, counting equivalence games, the grid structures with their automorphism group, and a CPT-to-interpretation translation. Contributions formalizing Proposition 2 (polynomial-time decidability), Proposition 8 (small-orbit support bound), Proposition 13 (quantitative homogeneity) and Theorem 14 (transfer through small supports) are welcome.

Selected references

  • OpenAI, Choiceless polynomial time with counting does not capture polynomial time, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Choiceless-polynomial-time-with-counting-does-not-capture-polynomial-time-September-23-2026/paper.pdf
  • A. Blass, Y. Gurevich, S. Shelah, Choiceless polynomial time, Ann. Pure Appl. Logic, 1999. https://doi.org/10.1016/S0168-0072(99)00005-6
  • A. Blass, Y. Gurevich, S. Shelah, On polynomial time computation over unordered structures, J. Symbolic Logic, 2002. https://doi.org/10.2178/jsl/1190150152
  • J.-Y. Cai, M. Fürer, N. Immerman, An optimal lower bound on the number of variables for graph identification, Combinatorica, 1992. https://doi.org/10.1007/BF01305232
  • A. Dawar, D. Richerby, B. Rossman, Choiceless polynomial time, counting and the Cai–Fürer–Immerman graphs, Ann. Pure Appl. Logic, 2008. https://doi.org/10.1016/j.apal.2007.11.011
  • E. Grädel, W. Pakusa, S. Schalthöfer, Ł. Kaiser, Characterising choiceless polynomial time with first-order interpretations, LICS, 2015. https://doi.org/10.1109/LICS.2015.68
  • B. Rossman, Choiceless computation and symmetry, 2010. https://doi.org/10.1007/978-3-642-15025-8_28
  • B. Pago, Choiceless computation and symmetry: limitations of definability, CSL, 2021. https://doi.org/10.4230/LIPIcs.CSL.2021.33
  • N. Immerman, Relational queries computable in polynomial time, STOC, 1982. https://doi.org/10.1145/800070.802187
  • A. K. Chandra, D. Harel, Structure and complexity of relational queries, J. Comput. System Sci., 1982. https://doi.org/10.1016/0022-0000(82)90012-5
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Mathematical LogicTheory of Computation·Captain: wurtle

Rigidity of the Turing degreesResearch Paper

Motivation

Turing reducibility compares sets of natural numbers by their information content: A≤TBA\le_TBA≤T​B if an oracle Turing machine with oracle BBB computes the characteristic function of AAA. Identifying mutually reducible sets gives the Turing degrees DT\mathcal D_TDT​, partially ordered by ≤T\le_T≤T​. A central question of computability theory since the 1970s is how much of the underlying computational structure the abstract order remembers. The strongest possible answer is rigidity: the order has no nontrivial automorphisms, so every degree is determined by its position in the order.

Timeline

  • 1939. Turing introduces oracle machines and relative computability (doi:10.1112/plms/s2-45.1.161).
  • 1977. Jockusch and Solovay prove that every jump-preserving automorphism fixes all degrees above 0(4)\mathbf0^{(4)}0(4) (doi:10.1007/BF03007659).
  • 1980. Nerode and Shore prove that every automorphism fixes some cone of degrees, whose base may depend on the automorphism (doi:10.1016/0003-4843(80)90004-2).
  • 1999. Shore and Slaman prove that the Turing jump is definable from the order, so every automorphism preserves it (Math. Res. Lett., 1999).
  • 2005. Slaman and Woodin's manuscript Definability in Degree Structures shows that every automorphism fixes all degrees above 0′′\mathbf0''0′′, that the automorphism group is countable, that every automorphism has an arithmetic representation on sets of integers, and that rigidity is equivalent to their biinterpretability conjecture; see also Slaman's survey (doi:10.1142/9789812794055_0002).
  • 2007. Shore gives direct degree-theoretic definitions of the jump (J. Math. Log., 2007).
  • 2018. Kjos-Hanssen shows that automorphisms induced by permutations of the integers are trivial (doi:10.1017/bsl.2018.15).

After these results the remaining problem was rigidity at degrees outside the known fixed cone. The source of this mission, an OpenAI preprint dated September 24, 2026, proves full rigidity.

Setting

An oracle is a function A:N→{0,1}A:\mathbb N\to\{0,1\}A:N→{0,1} (a set of natural numbers). A≤TBA\le_TBA≤T​B means that the characteristic function of AAA is partial recursive relative to BBB. This is a preorder; its quotient by A≡TB  ⟺  (A≤TB∧B≤TA)A\equiv_TB\iff(A\le_TB\wedge B\le_TA)A≡T​B⟺(A≤T​B∧B≤T​A) is the set DT\mathcal D_TDT​ of Turing degrees, partially ordered by ≤T\le_T≤T​. An automorphism of (DT,≤T)(\mathcal D_T,\le_T)(DT​,≤T​) is a bijection π:DT→DT\pi:\mathcal D_T\to\mathcal D_Tπ:DT​→DT​ with

a≤Tb  ⟺  π(a)≤Tπ(b).\mathbf a\le_T\mathbf b\iff\pi(\mathbf a)\le_T\pi(\mathbf b).a≤T​b⟺π(a)≤T​π(b).

No definability, Borel or continuity hypothesis is imposed on π\piπ.

Formalization targets

Goal: Theorem 1.1

∀π∈Aut⁡(DT,≤T)  ∀a∈DT:π(a)=a.\forall\pi\in\operatorname{Aut}(\mathcal D_T,\le_T)\ \ \forall\mathbf a\in\mathcal D_T:\qquad \pi(\mathbf a)=\mathbf a.∀π∈Aut(DT​,≤T​)  ∀a∈DT​:π(a)=a.

The Lean statement OAI.TuringRigidity.ManuscriptMain.rigidity is open on the platform.

Significance

Rigidity says that the order ≤T\le_T≤T​ alone determines every Turing degree. By the theorem of Slaman and Woodin, it is equivalent to their biinterpretability conjecture: the degrees are biinterpretable without parameters with full second-order arithmetic (Corollary 5.1). Consequently every relation on degrees that is definable in second-order arithmetic and invariant under Turing equivalence is definable in the degree order, which settles a family of definability questions at once.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists. Its proof relies on the Slaman–Woodin representation theorem, whose cited source is an unpublished 2005 manuscript; a formalization would either need to formalize that input as well or isolate it as an explicit hypothesis, and would make the dependence fully transparent.

Difficulty

Earlier methods fix cones of degrees: coding arguments work above a sufficiently high base such as 0′′\mathbf0''0′′, where enough information can be coded and decoded. Below that base the coding machinery is not available, and an arbitrary automorphism carries no a priori regularity. The proof must turn the arithmetic (hence Borel) representation of an automorphism into recovery of every individual real, using a category argument that works for every irrational parameter, not only generic ones.

Formalization scope

  • Oracles are ℕ → Bool; reducibility is Mathlib's TuringReducible between the characteristic functions viewed as partial functions ℕ →. ℕ (values 000 and 111).
  • Degree is Antisymmetrization Oracle Reduces with the induced partial order; automorphisms are order isomorphisms Degree ≃o Degree, i.e. bijections preserving and reflecting ≤T\le_T≤T​.
  • The statement quantifies over all order isomorphisms, with no measurability or definability assumption, as in the paper.

A complete development needs relativized computability (oracle machines, joins, the jump), Borel and Baire-category arguments on 2N2^{\mathbb N}2N and R\mathbb RR, and the Slaman–Woodin representation theorem (Theorem 3.1). Formalizing that theorem would itself be a substantial and reusable contribution. Contributions formalizing Proposition 4.1 (recovery of an irrational from four values of a Borel subadditive map with countable fibers) are welcome.

Selected references

  • OpenAI, Rigidity of the Turing degrees, preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Rigidity-of-the-Turing-degrees-September-24-2026/paper.pdf
  • T. A. Slaman, W. H. Woodin, Definability in Degree Structures, unpublished manuscript, 2005. https://math.berkeley.edu/~slaman/talks/sw.pdf
  • T. A. Slaman, Global properties of the Turing degrees and the Turing jump, in Computational Prospects of Infinity, Part I, 2008. https://doi.org/10.1142/9789812794055_0002
  • C. G. Jockusch, Jr., R. M. Solovay, Fixed points of jump preserving automorphisms of degrees, Israel J. Math., 1977. https://doi.org/10.1007/BF03007659
  • A. Nerode, R. A. Shore, Reducibility orderings: theories, definability and automorphisms, Ann. Math. Logic, 1980. https://doi.org/10.1016/0003-4843(80)90004-2
  • R. A. Shore, T. A. Slaman, Defining the Turing jump, Math. Res. Lett., 1999.
  • R. A. Shore, Direct and local definitions of the Turing jump, J. Math. Log., 2007.
  • B. Kjos-Hanssen, Permutations of the integers induce only the trivial automorphism of the Turing degrees, Bull. Symb. Log., 2018. https://doi.org/10.1017/bsl.2018.15
  • A. M. Turing, Systems of logic based on ordinals, Proc. London Math. Soc., 1939. https://doi.org/10.1112/plms/s2-45.1.161
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Markov ChainProbabilityRepresentation Theory·Captain: wurtle

Conditional coordinate sweeps and analytic transferResearch Paper

Motivation: a dimension saving for the binary coordinate sweep

The Thorp shuffle cuts a deck in half, pairs cards in corresponding positions, and lets an independent fair coin order each pair before the pairs are interleaved. On N=2dN=2^dN=2d cards, removing the deterministic rotation of coordinates turns ddd physical shuffles into one binary coordinate sweep: in each coordinate direction, in order, every pair of positions differing in that coordinate is independently swapped with probability 1/21/21/2. After one sweep each card is uniform, but the joint permutation retains dependence because cards share switches.

By finite-group Fourier analysis (Diaconis–Shahshahani 1981), fast mixing of the whole deck follows from a power saving ∥Kλ∥op≤Dλ−g\|K_\lambda\|_{\rm op}\le D_\lambda^{-g}∥Kλ​∥op​≤Dλ−g​ for the sweep in every irreducible representation λ\lambdaλ of SNS_NSN​. The source obtains this saving by first controlling a perturbed sweep, in which each line permutation is mostly uniform, conditionally on prescribed trajectories of some cards, and then transferring the estimate analytically to the binary sweep.

Timeline

  • 1973 — Thorp introduces the shuffle in a study of nonrandom shuffling in Faro (Thorp, JASA 1973).
  • 1981 — Diaconis and Shahshahani introduce the Fourier upper-bound method for random walks on SnS_nSn​ (Z. Wahrsch. 1981).
  • 2005/2008 — Morris proves O(d44)O(d^{44})O(d44) physical shuffles for N=2dN=2^dN=2d with a chameleon process that conditions on the trajectory of an occupied set (SIAM J. Comput. 2008); Montenegro and Tetali sharpen it to O(d29)O(d^{29})O(d29) (2006).
  • 2009 — Morris proves O((log⁡N)4)O((\log N)^4)O((logN)4) for every even NNN (Ann. Probab. 2009); Morris, Rogaway and Stegers analyze selected-card Thorp marginals for small-domain encryption (CRYPTO 2009).
  • 2012 — Hoang, Morris and Rogaway use a conditional squared-discrepancy calculation for the swap-or-not shuffle (CRYPTO 2012).
  • 2013 — Morris proves O(d3)O(d^3)O(d3) for N=2dN=2^dN=2d, exposing complete labeled trajectories successively (CPC 2013).
  • 2014–2015 — Czumaj and Vöcking: nearly uniform joint positions of a (1−ε)(1-\varepsilon)(1−ε) fraction of the cards after O(d2)O(d^2)O(d2) shuffles (ICALP 2014); Czumaj, switching networks (STOC 2015).
  • 2026 — The OpenAI preprint Conditional coordinate sweeps and analytic transfer (OpenAI Math Release, September 26, 2026) proves the binary sweep contraction below, giving tmix(d)=Θ(d)t_{\rm mix}(d)=\Theta(d)tmix​(d)=Θ(d) physical shuffles. The preprint has not been peer reviewed and its results are not formally verified.

Setting

Positions are binary strings {0,1}d\{0,1\}^d{0,1}d, N=2dN=2^dN=2d (Lean: Slot d := Fin d → Bool). For a coordinate jjj, a layer flips bit jjj of a position xxx according to a fair coin attached to the edge {x,x+ej}\{x,x+e_j\}{x,x+ej​}; the binary sweep applies the layers for j=1,…,dj=1,\dots,dj=1,…,d in order, with all coins independent (Lean: binarySweep, binaryLaw d its law on SNS_NSN​). For an irreducible unitary representation ρλ\rho_\lambdaρλ​ of SNS_NSN​ of dimension DλD_\lambdaDλ​, the sweep operator is

Kλ=Eg∼BNρλ(g).K_\lambda=\mathbb E_{g\sim B_N}\rho_\lambda(g).Kλ​=Eg∼BN​​ρλ​(g).

Write BN∗wB_N^{*w}BN∗w​ for the law of www independent sweeps and ∥μ−ν∥TV=12∑g∣μ(g)−ν(g)∣\|\mu-\nu\|_{\rm TV}=\tfrac12\sum_g|\mu(g)-\nu(g)|∥μ−ν∥TV​=21​∑g​∣μ(g)−ν(g)∣.

For the conditional estimate, an ordered product grid is Ω=Ω1×⋯×Ωb\Omega=\Omega_1\times\dots\times\Omega_bΩ=Ω1​×⋯×Ωb​ with each ∣Ωj∣=mj|\Omega_j|=m_j∣Ωj​∣=mj​ a power of two in [R,R2][R,R^2][R,R2]; a sweep permutes the lines parallel to coordinate 111, then coordinate 222, and so on, each line independently with law Lm(z)=(1−z)Um+zBmL_m(z)=(1-z)U_m+zB_mLm​(z)=(1−z)Um​+zBm​. A family H\mathcal HH of hhh prescribed trajectories (disjoint at every layer) is conditioned on; the remaining random bijection of the s−hs-hs−h free slots has average KλHK^{\mathcal H}_\lambdaKλH​ in each irreducible λ⊢s−h\lambda\vdash s-hλ⊢s−h, with line cost C(H)=∑Llog⁡(∣L∣hL/(∣L∣)hL)C(\mathcal H)=\sum_{L}\log\bigl(|L|^{h_L}/(|L|)_{h_L}\bigr)C(H)=∑L​log(∣L∣hL​/(∣L∣)hL​​).

Formalization targets

Milestone: conditional sweep moment estimate (Theorem 3.1)

There are a power of two R≥2R\ge2R≥2, an integer q≥1q\ge1q≥1 and z∗>0z_*>0z∗​>0 such that for every grid, every feasible family H\mathcal HH, every z∈[0,z∗]z\in[0,z_*]z∈[0,z∗​] and every irreducible λ⊢s−h\lambda\vdash s-hλ⊢s−h,

log⁡∥KλH∥2q2q≤−c(s)log⁡Dλ+e(s) hlog⁡s−C(H),\log\|K^{\mathcal H}_\lambda\|_{2q}^{2q}\le -c(s)\log D_\lambda+e(s)\,h\log s-C(\mathcal H),log∥KλH​∥2q2q​≤−c(s)logDλ​+e(s)hlogs−C(H),

with c(s)=c0+1/log⁡sc(s)=c_0+1/\sqrt{\log s}c(s)=c0​+1/logs​, e(s)=e0−1/log⁡se(s)=e_0-1/\sqrt{\log s}e(s)=e0​−1/logs​, c0=e0=10−4c_0=e_0=10^{-4}c0​=e0​=10−4, and log⁡0=−∞\log 0=-\inftylog0=−∞.

Goal: binary sweep contraction (Theorem 1.1)

There are absolute constants g>0g>0g>0 and d0d_0d0​ such that for all d≥d0d\ge d_0d≥d0​ and every irreducible unitary representation of S2dS_{2^d}S2d​ of dimension DDD,

∥Kλ∥op≤D−g;\|K_\lambda\|_{\rm op}\le D^{-g};∥Kλ​∥op​≤D−g;

the sign representation is annihilated, ∑gBN(g) sgn(g)=0\sum_g B_N(g)\,\mathrm{sgn}(g)=0∑g​BN​(g)sgn(g)=0; and there is an absolute integer www such that

sup⁡τ∈SN∥BN∗w(⋅ τ−1)−UN∥TV→d→∞0.\sup_{\tau\in S_N}\bigl\|B_N^{*w}(\cdot\,\tau^{-1})-U_N\bigr\|_{\rm TV}\xrightarrow[d\to\infty]{}0 .τ∈SN​sup​​BN∗w​(⋅τ−1)−UN​​TV​d→∞​0.

The goal is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. Since one binary sweep is exactly ddd physical shuffles, the goal gives O(d)O(d)O(d) physical shuffles for mixing from every starting deck, and the support obstruction (Proposition 1.2: ttt shuffles reach at most 2tN/22^{tN/2}2tN/2 permutations) gives the matching lower bound 2d−O(1)2d-O(1)2d−O(1); thus tmix(d)=Θ(d)t_{\rm mix}(d)=\Theta(d)tmix​(d)=Θ(d), improving Morris 2013. The power saving in every irreducible representation is a stronger, reusable statement: it controls any number of further sweeps and any function of the permutation through Fourier analysis.

Formalizing it. The goal is stated for explicit finite objects (coins, sweeps, Fourier operators on CD\mathbb C^DCD), with existential constants only. A formal proof would certify optimal-order mixing for the Thorp sweep. The conditional estimate (Theorem 3.1) is formalized separately and is the natural intermediate milestone.

Difficulty

The obvious induction—split the coordinates and multiply child bounds—breaks because revealing card paths changes the conditional law of the line permutations, and the induction must be stable when more paths are revealed. The source handles this with the line cost C(H)C(\mathcal H)C(H), which records the exact cost of prescribing positions without replacement. A second obstacle is that the conditional estimate is only available for mostly-uniform lines (zzz small), while the Thorp sweep is the binary case z=1z=1z=1; for a fixed grid the sweep operator is a matrix polynomial in zzz whose behavior at z=1z=1z=1 is not controlled by real-segment bounds alone. Representations of very small "level" (first appearing on few tracked cards) need a separate sparse estimate.

Formalization scope

  • Goal (binary_sweep_contraction_and_mixing): three conjuncts. BinaryContractionTarget: ∃g>0 ∃d0 ∀d≥d0 ∀D\exists g>0\ \exists d_0\ \forall d\ge d_0\ \forall D∃g>0 ∃d0​ ∀d≥d0​ ∀D and every irreducible representation ρ\rhoρ of Equiv.Perm (Slot d) on EuclideanSpace ℂ (Fin D) preserving norms, the operator norm of ∑gbinaryLaw(g)ρ(g)\sum_g \mathrm{binaryLaw}(g)\rho(g)∑g​binaryLaw(g)ρ(g) is at most D−gD^{-g}D−g (real power). Sign: for every d>0d>0d>0, ∑gbinaryLaw(g) sgn(g)=0\sum_g \mathrm{binaryLaw}(g)\,\mathrm{sgn}(g)=0∑g​binaryLaw(g)sgn(g)=0. UniformSweepMixingTarget: ∃w ∀ε>0 ∃d0 ∀d≥d0 ∀τ\exists w\ \forall\varepsilon>0\ \exists d_0\ \forall d\ge d_0\ \forall\tau∃w ∀ε>0 ∃d0​ ∀d≥d0​ ∀τ, total variation of the www-fold convolution power translated by τ\tauτ from uniform is at most ε\varepsilonε. Physical shuffles are not modelled; the statement is about sweeps.
  • Milestone (conditional_main): grids are Grid with b≥1b\ge1b≥1 coordinates of r≤bitsj≤2rr\le\text{bits}_j\le2rr≤bitsj​≤2r (R=2rR=2^rR=2r); trajectories are Holes with disjointness at every layer and coordinate-respecting steps; feasibility means some line choices realize them; the residual bijection is identified with the stabilizer of the input holes via a fixed reference completion; representations are UnitaryIrrep of that stabilizer; the Schatten moment is ReTr⁡((K∗K)q)\mathrm{Re}\operatorname{Tr}((K^*K)^q)ReTr((K∗K)q); z∗≤1/2z_*\le1/2z∗​≤1/2.
  • The mapped item all_grid_moment is a parameter-explicit form of the same induction under numerical largeness hypotheses and a small-perturbation hypothesis, kept as a plain item.
  • Infrastructure: Specht-module dimension estimates, branching and Pieri rules, signed Schur–Weyl decompositions, Schatten norms, and the subharmonic maximum principle; the analytic-transfer step is reusable for other families of averaging operators polynomial in a parameter.

Selected references

  • E. O. Thorp, Nonrandom shuffling with applications to the game of Faro, J. Amer. Statist. Assoc. 68 (1973), 842–847. https://doi.org/10.1080/01621459.1973.10481434
  • P. Diaconis and M. Shahshahani, Generating a random permutation with random transpositions, Z. Wahrsch. Verw. Gebiete 57 (1981), 159–179. https://doi.org/10.1007/BF00535487
  • B. Morris, The mixing time of the Thorp shuffle, SIAM J. Comput. 38 (2008), 484–504. https://doi.org/10.1137/050636231
  • R. Montenegro and P. Tetali, Mathematical aspects of mixing times in Markov chains, Found. Trends Theor. Comput. Sci. 1 (2006), 237–354. https://doi.org/10.1561/0400000003
  • B. Morris, Improved mixing time bounds for the Thorp shuffle and L-reversal chain, Ann. Probab. 37 (2009), 453–477. https://doi.org/10.1214/08-AOP409
  • B. Morris, Improved mixing time bounds for the Thorp shuffle, Combin. Probab. Comput. 22 (2013), 118–132. https://doi.org/10.1017/S0963548312000478
  • B. Morris, P. Rogaway and T. Stegers, How to encipher messages on a small domain, CRYPTO 2009, LNCS 5677, 286–302. https://doi.org/10.1007/978-3-642-03356-8_17
  • V. T. Hoang, B. Morris and P. Rogaway, An enciphering scheme based on a card shuffle, CRYPTO 2012, LNCS 7417, 1–13. https://doi.org/10.1007/978-3-642-32009-5_1
  • A. Czumaj and B. Vöcking, Thorp shuffling, butterflies, and non-Markovian couplings, ICALP 2014, LNCS 8572, 344–355. https://doi.org/10.1007/978-3-662-43948-7_29
  • A. Czumaj, Random permutations using switching networks, STOC 2015, 703–712. https://doi.org/10.1145/2746539.2746629
  • A. Berele and A. Regev, Hook Young diagrams, combinatorics and representations of Lie superalgebras, Bull. Amer. Math. Soc. (N.S.) 8 (1983), 337–339. https://doi.org/10.1090/S0273-0979-1983-15110-8
  • OpenAI, Conditional coordinate sweeps and analytic transfer, OpenAI Math Release preprint, September 26, 2026 (source; Theorem 1.1, p. 2; Theorem 3.1, p. 7). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Conditional-coordinate-sweeps-and-analytic-transfer-September-26-2026/main.pdf
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Random-subspace tests and trace smoothing for coordinate sweepsResearch Paper

Motivation: optimal-order mixing for the Thorp shuffle

The Thorp shuffle is a simple card-shuffling rule: cut a deck of nnn cards into two equal halves, pair cards in corresponding positions, and let an independent fair coin decide the order within each pair when the pairs are interleaved. It is a standard test case for mixing-time methods and a building block in small-domain enciphering schemes. For n=2dn=2^dn=2d every individual card is uniform after ddd shuffles, but the joint order of all nnn cards is much harder to control. Determining whether O(d)=O(log⁡n)O(d)=O(\log n)O(d)=O(logn) shuffles suffice to make the full permutation close to uniform was a long-standing question.

Timeline

  • 1973 — Thorp introduces the model in a study of nonrandom shuffling in Faro (Thorp, JASA 1973).
  • 2005/2008 — Morris proves the first polynomial-in-ddd bound, O(d44)O(d^{44})O(d44) shuffles for n=2dn=2^dn=2d, using evolving sets and a chameleon process (Morris, SIAM J. Comput. 2008).
  • 2006 — Montenegro and Tetali sharpen this to O(d29)O(d^{29})O(d29) by spectral-profile and evolving-set estimates (Montenegro–Tetali 2006, §6.4).
  • 2009 — Morris introduces an entropy method based on card interactions and obtains O(log⁡4n)O(\log^4 n)O(log4n) for every even deck size (Morris, Ann. Probab. 2009).
  • 2013 — Morris obtains O(d3)O(d^3)O(d3) for dyadic decks (Morris, CPC 2013).
  • 2026 — The OpenAI preprint Random-subspace tests and trace smoothing for coordinate sweeps (OpenAI Math Release, September 26, 2026) claims a uniform bound on a fixed Schatten moment of one coordinate sweep in the full regular representation, which yields total-variation mixing after an absolute number of sweeps, i.e. O(d)O(d)O(d) physical shuffles. The preprint has not been peer reviewed and its result is not formally verified.

Setting

Index the n=2dn=2^dn=2d positions by binary strings x∈F2dx\in\mathbb F_2^dx∈F2d​ (in Lean, Card d := Fin d → Bool). One physical shuffle sends

(x1,x2,…,xd)⟼(x2,…,xd,  x1+ξx2,…,xd)(x_1,x_2,\dots,x_d)\longmapsto(x_2,\dots,x_d,\;x_1+\xi_{x_2,\dots,x_d})(x1​,x2​,…,xd​)⟼(x2​,…,xd​,x1​+ξx2​,…,xd​​)

with independent fair bits ξ\xiξ (Lean: step d ξ = rotate * pairSwitch ξ). After ddd physical shuffles the rotations cancel, and the result is a coordinate sweep: one random matching switch in each coordinate direction. Write μt\mu_tμt​ for the law on SnS_nSn​ of ttt physical shuffles (Lean: law d t, the fraction of coin sequences producing a given permutation).

For a partition λ⊢n\lambda\vdash nλ⊢n let VλV_\lambdaVλ​ be the Specht module (the irreducible representation of SnS_nSn​ indexed by λ\lambdaλ), of dimension DλD_\lambdaDλ​, and let Qn(λ)=∑gμd(g) λ(g)Q_n(\lambda)=\sum_g \mu_d(g)\,\lambda(g)Qn​(λ)=∑g​μd​(g)λ(g) be the average of the sweep in VλV_\lambdaVλ​. For an operator YYY, ∣Y∣=(Y∗Y)1/2|Y|=(Y^*Y)^{1/2}∣Y∣=(Y∗Y)1/2 and traces are unnormalized. The regular trace of the PPP-th power is

Tr⁡reg∣Qn∣P=∑λ⊢nDλTr⁡Vλ∣Qn(λ)∣P,\operatorname{Tr}_{\rm reg}|Q_n|^P=\sum_{\lambda\vdash n}D_\lambda\operatorname{Tr}_{V_\lambda}|Q_n(\lambda)|^P ,Trreg​∣Qn​∣P=λ⊢n∑​Dλ​TrVλ​​∣Qn​(λ)∣P,

in which the trivial representation contributes exactly 111. Total variation is ∥μ−ν∥TV=12∑g∣μ(g)−ν(g)∣\|\mu-\nu\|_{\rm TV}=\tfrac12\sum_g|\mu(g)-\nu(g)|∥μ−ν∥TV​=21​∑g​∣μ(g)−ν(g)∣.

Formalization targets

Goal: regular-trace smoothing (Theorem 1.1)

There is an absolute real P≥2P\ge2P≥2 such that for every d≥1d\ge1d≥1 (so n=2d≥2n=2^d\ge2n=2d≥2)

Tr⁡reg∣Qn∣P≤1+n−10,\operatorname{Tr}_{\rm reg}|Q_n|^P\le 1+n^{-10},Trreg​∣Qn​∣P≤1+n−10,

and for every integer vvv with 2v≥P2v\ge P2v≥P and every initial deck σ\sigmaσ,

12∑g∈Sn∣μvd(gσ−1)−1n!∣≤12 n−5.\tfrac12\sum_{g\in S_n}\Bigl|\mu_{vd}(g\sigma^{-1})-\tfrac1{n!}\Bigr|\le\tfrac12\,n^{-5}.21​g∈Sn​∑​​μvd​(gσ−1)−n!1​​≤21​n−5.

The constant PPP is not specified; only its existence and uniformity in ddd are asserted. The goal is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. Since one sweep is ddd physical shuffles, the second clause shows that O(d)=O(log⁡n)O(d)=O(\log n)O(d)=O(logn) Thorp shuffles bring the full permutation within 12n−5\tfrac12 n^{-5}21​n−5 of uniform from every starting deck. A counting argument on coin strings (Proposition 5.1 of the source) shows that at least 2d−O(1)2d-O(1)2d−O(1) physical shuffles are needed, so this order is optimal, improving the O(d3)O(d^3)O(d3) bound of Morris 2013. The regular-trace bound is stronger than an operator-norm bound for each irreducible: it controls all singular values with their multiplicities, which is what yields polynomially small total-variation distance.

Formalizing it. The statement is fully finite and explicit: an existential over one real constant followed by inequalities for each ddd. A formal proof would certify an optimal-order mixing bound for a widely studied shuffle. Specht modules, Schatten-type traces via continuous functional calculus, and the shuffle law are all defined in the mission's definition file and can be reused for related shuffling problems.

Difficulty

Single-card and few-card statistics mix after one sweep, but the full permutation involves all ∼nlog⁡n\sim n\log n∼nlogn bits of information, and the coin choices of a sweep interact across coordinates. The natural route—bounding the operator norm of Qn(λ)Q_n(\lambda)Qn​(λ) separately in each irreducible representation—does not suffice, because the regular trace weights each representation by its dimension DλD_\lambdaDλ​, and the number of partitions grows like ecne^{c\sqrt n}ecn​. A uniform power must work simultaneously for representations of tiny dimension (very long first row), intermediate dimension, and dimension close to n!\sqrt{n!}n!​, and splitting the coordinates into row and column groups produces two symmetry decompositions that do not commute.

Formalization scope

  • Positions are Fin d → Bool; permutations are Equiv.Perm (Card d); partitions of 2d2^d2d are Young diagrams of cardinality 2d2^d2d (Shapes (2^d)).
  • The Specht module is built concretely as the span of the orbit of the standard polytabloid in the space of functions on tabloids, transported to a Euclidean (Hilbert) space; cards are relabelled to cells by a fixed bijection. Q d μ is the average over all coin sequences of length ddd of the representation of run d d.
  • absoluteTrace A P is the real part of the trace of CFC.rpow (CFC.sqrt (A⋆A)) P, i.e. Tr⁡∣A∣P\operatorname{Tr}|A|^PTr∣A∣P; regularTrace multiplies by finrank.
  • sweepDistance d v σ is total variation of the law of v⋅dv\cdot dv⋅d physical shuffles, right-translated by σ\sigmaσ, from the uniform weight 1/(2d)!1/(2^d)!1/(2d)!. The integer vvv is converted with Int.toNat; since P≥2P\ge2P≥2 and 2v≥P2v\ge P2v≥P, v≥1v\ge1v≥1 and no truncation occurs.
  • The support lower bound (Proposition 5.1) is not part of the goal.
  • Infrastructure needed: Specht-module dimensions and branching, Schatten-norm inequalities (Hölder, Araki–Lieb–Thirring), Schur–Weyl duality, and the partial-deck density bound from the companion preprint on routing densities. Contributions formalizing any of these pieces are welcome.

Selected references

  • E. O. Thorp, Nonrandom shuffling with applications to the game of Faro, J. Amer. Statist. Assoc. 68 (1973), 842–847. https://doi.org/10.1080/01621459.1973.10481434
  • B. Morris, The mixing time of the Thorp shuffle, SIAM J. Comput. 38 (2008), 484–504. https://doi.org/10.1137/050636231
  • R. Montenegro and P. Tetali, Mathematical aspects of mixing times in Markov chains, Found. Trends Theor. Comput. Sci. 1 (2006), 237–354. https://doi.org/10.1561/0400000003
  • B. Morris, Improved mixing time bounds for the Thorp shuffle and L-reversal chain, Ann. Probab. 37 (2009), 453–477. https://doi.org/10.1214/08-AOP409
  • B. Morris, Improved mixing time bounds for the Thorp shuffle, Combin. Probab. Comput. 22 (2013), 118–132. https://doi.org/10.1017/S0963548312000478
  • H. Araki, On an inequality of Lieb and Thirring, Lett. Math. Phys. 19 (1990), 167–170. https://doi.org/10.1007/BF01045887
  • A. Berele and A. Regev, Hook Young diagrams with applications to combinatorics and to representations of Lie superalgebras, Adv. Math. 64 (1987), 118–175. https://doi.org/10.1016/0001-8708(87)90007-7
  • B. E. Sagan, The Symmetric Group, 2nd ed., GTM 203, Springer, 2001. https://doi.org/10.1007/978-1-4757-6804-6
  • OpenAI, Random-subspace tests and trace smoothing for coordinate sweeps, OpenAI Math Release preprint, September 26, 2026 (source of the goal; Theorem 1.1, p. 2). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Random-subspace-tests-and-trace-smoothing-for-coordinate-sweeps-September-26-2026/paper.pdf
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Group TheoryProbabilityRepresentation Theory·Captain: wurtle

From partial permutation information to Fourier boundsResearch Paper

Motivation: when do partial observations of a permutation force full randomness?

Many random permutations are analysed through what they do to a few labels at a time: the joint positions of kkk chosen cards in a shuffle, or the images of a list of inputs under a block cipher built from a shuffle. Such partial information does not by itself control the whole permutation. The uniform law on the alternating group already has uniform images on every set of at most n−2n-2n−2 labels, yet it is at total-variation distance 1/21/21/2 from uniform on SnS_nSn​. Converting partial-permutation estimates into full-permutation estimates therefore needs an additional argument, and this is the bottleneck in recent work on the Thorp shuffle, where fixed fractions of the deck were known to randomize quickly (Czumaj–Vöcking 2014; Czumaj 2015) long before the full deck was.

Timeline

  • 1954 — Frame, Robinson and Thrall prove the hook-length formula for the degrees of irreducible representations of SnS_nSn​ (Canad. J. Math. 1954).
  • 1981 — Diaconis and Shahshahani analyse random transpositions by Fourier analysis on SnS_nSn​, establishing the upper-bound-lemma framework (Z. Wahrsch. 1981).
  • 2004 — Liebeck and Shalev show that the Witten zeta sums ∑λ⊢n(fλ)−u\sum_{\lambda\vdash n}(f^\lambda)^{-u}∑λ⊢n​(fλ)−u tend to 222 for every fixed u>0u>0u>0 (J. Algebra 2004).
  • 2009, 2013 — Morris uses entropy and trajectory comparison to prove O((log⁡n)4)O((\log n)^4)O((logn)4) and O((log⁡n)3)O((\log n)^3)O((logn)3) mixing bounds for the Thorp shuffle (Ann. Probab. 2009; CPC 2013).
  • 2014–2015 — Czumaj and Vöcking show that a fixed fraction of the cards randomizes in O((log⁡n)2)O((\log n)^2)O((logn)2) layers; Czumaj obtains full-permutation sampling by recursively applying partial randomizers on shrinking sets.
  • 2026 — The OpenAI preprint From partial permutation information to Fourier bounds (OpenAI Math Release, September 26, 2026) proves that coset caps for complementary blocks control every Fourier matrix (Theorem 1.1). It has not been peer reviewed.

Setting

Let XXX be a finite set of nnn labels and G=Sym(X)G=\mathrm{Sym}(X)G=Sym(X), acting as maps from initial labels to final positions. For M⊆XM\subseteq XM⊆X, let HM≤GH_M\le GHM​≤G be the block subgroup of permutations that fix every label outside MMM. Two permutations have the same images on X∖MX\setminus MX∖M exactly when they lie in the same left coset gHMgH_MgHM​, so a bound on the law of those images is a bound on coset masses.

For a nonnegative weight fff on GGG and a unitary representation ρ\rhoρ of GGG on a finite-dimensional complex inner-product space VVV, the Fourier transform is f^(ρ)=∑g∈Gf(g)ρ(g)\widehat f(\rho)=\sum_{g\in G}f(g)\rho(g)f​(ρ)=∑g∈G​f(g)ρ(g), with D=dim⁡VD=\dim VD=dimV. The Hilbert–Schmidt norm is unnormalized, ∥A∥HS2=tr⁡(A∗A)\|A\|_{\mathrm{HS}}^2=\operatorname{tr}(A^*A)∥A∥HS2​=tr(A∗A). For u>0u>0u>0 the symmetric degree constant is

Cu=sup⁡m≥1 ∑λ⊢mDλ−u,C_u=\sup_{m\ge1}\ \sum_{\lambda\vdash m} D_\lambda^{-u},Cu​=m≥1sup​ λ⊢m∑​Dλ−u​,

where DλD_\lambdaDλ​ ranges over the degrees of the irreducible complex representations of SmS_mSm​.

Formalization targets

Goal: complementary cosets control Fourier matrices (Theorem 1.1)

Partition XXX into b≥1b\ge1b≥1 nonempty blocks M1,…,MbM_1,\dots,M_bM1​,…,Mb​ and put Hi=HMiH_i=H_{M_i}Hi​=HMi​​. Let f≥0f\ge0f≥0 on GGG have total mass at most one and satisfy

f(gHi)≤B[G:Hi](g∈G, 1≤i≤b).f(gH_i)\le \frac{B}{[G:H_i]}\qquad(g\in G,\ 1\le i\le b).f(gHi​)≤[G:Hi​]B​(g∈G, 1≤i≤b).

Then for every u>0u>0u>0 and every irreducible unitary ρ\rhoρ of degree DDD,

∥f^(ρ)∥HS2≤b B Cu D−1+(u+2)/band∥f^(ρ)∥op2≤b B Cu D−1+(u+2)/b.\|\widehat f(\rho)\|_{\mathrm{HS}}^2\le b\,B\,C_u\,D^{-1+(u+2)/b} \qquad\text{and}\qquad \|\widehat f(\rho)\|_{\mathrm{op}}^2\le b\,B\,C_u\,D^{-1+(u+2)/b}.∥f​(ρ)∥HS2​≤bBCu​D−1+(u+2)/band∥f​(ρ)∥op2​≤bBCu​D−1+(u+2)/b.

No restriction is placed on the block sizes or on multiplicities in the restriction of ρ\rhoρ to H1×⋯×HbH_1\times\dots\times H_bH1​×⋯×Hb​. The goal statement is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. Theorem 1.1 is a quantitative transfer principle: a single law whose complementary partial images are never much heavier than uniform has a power saving in every irreducible representation of SnS_nSn​. With b=8b=8b=8 and u=1u=1u=1 it gives ∥f^(ρ)∥HS2≤8C1D−5/8\|\widehat f(\rho)\|_{\mathrm{HS}}^2\le 8C_1D^{-5/8}∥f​(ρ)∥HS2​≤8C1​D−5/8, which is enough for the principal application in the source (Corollary 3.6, p. 9): if the images of a uniformly chosen set of 7n/87n/87n/8 labels are close to uniform in average total variation and the sign mean tends to zero, then the product of just two independent copies of the permutation converges to uniform. This is the step used by the companion Thorp-shuffle preprints to turn fixed-list estimates into full-deck mixing in O(log⁡n)O(\log n)O(logn) shuffles. The statement concerns arbitrary laws on SnS_nSn​ and does not depend on any shuffle.

Formalizing it. The theorem is a finite inequality with explicit constants, so it is a natural target for machine checking. A proof would certify the partial-to-full transfer used by the Thorp mixing arguments, and would require reusable infrastructure: isotypic decompositions of restrictions to products of subgroups, Schur averaging, Hilbert–Schmidt and operator norms of group-algebra elements, and uniform bounds on symmetric-group Witten zeta sums. None of this is formalized yet.

Difficulty

The natural approach decomposes ρ\rhoρ restricted to H1×⋯×HbH_1\times\dots\times H_bH1​×⋯×Hb​ into tensor products of irreducibles of the blocks and bounds f^(ρ)\widehat f(\rho)f​(ρ) on each piece. This fails when a block type occurs with large multiplicity: a dimension count that pays for every copy gives no decay in DDD. The bound must count each irreducible type of a block subgroup once, regardless of multiplicity, and must hold uniformly over all block sizes, which is why the constant CuC_uCu​ is a supremum over every symmetric group. The Hilbert–Schmidt bound is harder than the operator bound, because it must control the whole Fourier matrix rather than its action on one vector.

Formalization scope

  • XXX is an arbitrary Fintype with decidable equality; blocks are M : Fin b → Set X, nonempty, pairwise disjoint and covering. The block subgroup is blockSubgroup (M i), the permutations fixing each point outside M i.
  • The coset cap is LeftCosetCap f H B: for every ggg, ∑h∈Hf(gh)≤B/[G:H]\sum_{h\in H}f(gh)\le B/[G:H]∑h∈H​f(gh)≤B/[G:H], with the index H.index.
  • ρ\rhoρ is any irreducible representation on a finite-dimensional complex inner-product space with ⟨ρ(g)x,ρ(g)y⟩=⟨x,y⟩\langle\rho(g)x,\rho(g)y\rangle=\langle x,y\rangle⟨ρ(g)x,ρ(g)y⟩=⟨x,y⟩; the Fourier transform is complexFourier ρ f; hsNormSq is Re⁡tr⁡(A∗A)\operatorname{Re}\operatorname{tr}(A^*A)Retr(A∗A); the operator norm is that of the associated continuous linear map; DDD is Module.finrank ℂ V and the exponent is a real power.
  • Irreducible representations of SmS_mSm​ are indexed by the isotypic components of the regular representation of Equiv.Perm (Fin m), and CuC_uCu​ is symmetricDegreeConstant u, an sSup over m≥1m\ge1m≥1. The supremum is finite for every u>0u>0u>0; a solver must prove this boundedness, since sSup of an unbounded real set would be 000.
  • Needed infrastructure: isotypic decomposition and Schur's lemma for finite groups, degree bounds for SmS_mSm​ (hook-length or tableau counting), and uniform Witten zeta bounds. The degree layer is reusable for any random walk on SnS_nSn​.

Selected references

  • J. S. Frame, G. de B. Robinson and R. M. Thrall, The hook graphs of the symmetric group, Canad. J. Math. 6 (1954), 316–324. https://doi.org/10.4153/CJM-1954-030-1
  • P. Diaconis and M. Shahshahani, Generating a random permutation with random transpositions, Z. Wahrsch. Verw. Gebiete 57 (1981), 159–179. https://doi.org/10.1007/BF00535487
  • G. D. James, The Representation Theory of the Symmetric Groups, Lecture Notes in Math. 682, Springer, 1978.
  • B. E. Sagan, The Symmetric Group, 2nd ed., Graduate Texts in Math. 203, Springer, 2001. https://doi.org/10.1007/978-1-4757-6804-6
  • M. W. Liebeck and A. Shalev, Fuchsian groups, coverings of Riemann surfaces, subgroup growth, random quotients and random walks, J. Algebra 276 (2004), 552–601. https://doi.org/10.1016/S0021-8693(03)00515-5
  • E. O. Thorp, Nonrandom shuffling with applications to the game of faro, J. Amer. Statist. Assoc. 68 (1973), 842–847. https://doi.org/10.1080/01621459.1973.10481434
  • B. Morris, Improved mixing time bounds for the Thorp shuffle and L-reversal chain, Ann. Probab. 37 (2009), 453–477. https://doi.org/10.1214/08-AOP409
  • B. Morris, Improved mixing time bounds for the Thorp shuffle, Combin. Probab. Comput. 22 (2013), 118–132. https://doi.org/10.1017/S0963548312000478
  • A. Czumaj and B. Vöcking, Thorp shuffling, butterflies, and non-Markovian couplings, ICALP 2014, LNCS 8572, 344–355. https://doi.org/10.1007/978-3-662-43948-7_29
  • A. Czumaj, Random permutations using switching networks, STOC 2015, 703–712. https://doi.org/10.1145/2746539.2746629
  • OpenAI, From partial permutation information to Fourier bounds, OpenAI Math Release preprint, September 26, 2026 (source; Theorem 1.1, p. 1–2; Corollary 3.6, p. 9). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/From-partial-permutation-information-to-Fourier-bounds-September-26-2026/main.pdf
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CombinatoricsMathematical PhysicsProbability·Captain: wurtle

Critical strip-crossing mass on the honeycomb latticeResearch Paper

Motivation

At its critical weight, a self-avoiding path on the honeycomb lattice can make long excursions without paying an exponential cost. A basic quantitative question is how much of its total weight reaches the far side of a strip of height NNN. Physics heuristics (Nienhuis's Coulomb gas and the conjectured SLE8/3\mathrm{SLE}_{8/3}SLE8/3​ scaling limit with boundary exponent 5/85/85/8) predict that this crossing mass decays like N−1/4N^{-1/4}N−1/4. Rigorous results so far showed only that it tends to zero, with a polynomial upper bound with a tiny exponent.

The OpenAI preprint behind this mission, dated September 26, 2026 (source), claims the predicted power with bounded-factor constants: the crossing mass is comparable to N−1/4N^{-1/4}N−1/4, and the first horizontal-displacement moment of paths returning to the starting side is comparable to N3/4N^{3/4}N3/4 (Theorem 1.1, p. 2). The preprint has not been peer reviewed and its claims have not been independently verified; on the platform the Lean goal is open.

Background

  • 1982 — Nienhuis's Coulomb-gas analysis of the dilute O(n)O(n)O(n) model predicts the honeycomb critical point 2+2\sqrt{2+\sqrt2}2+2​​ and the planar self-avoiding-walk exponents, including ν=3/4\nu=3/4ν=3/4 (PRL 1982).
  • 2004 — Lawler, Schramm and Werner describe the conjectural SLE8/3\mathrm{SLE}_{8/3}SLE8/3​ scaling limit; the boundary exponent 5/85/85/8 predicts a crossing power −1/4-1/4−1/4 for strips.
  • 2012 — Duminil-Copin and Smirnov prove that the connective constant of the honeycomb lattice is 2+2\sqrt{2+\sqrt2}2+2​​ using a parafermionic observable and a boundary identity (Annals 2012); their strip argument bounds the crossing mass between orders 1/N1/N1/N and 111.
  • 2014 — Beaton, Bousquet-Mélou, de Gier, Duminil-Copin and Guttmann prove that the critical bridge mass tends to zero (CMP 2014).
  • 2020 — Glazman and Manolescu give a shorter proof and a quantitative bound along a subsequence of heights (AIHP 2020).
  • 2026 — Krachun and Panagiotis prove a polynomial upper bound on the bridge mass and quantitative sub-ballisticity (Ann. Probab. 2026).
  • September 2026 — A group of OpenAI preprints claims the strip crossing power −1/4-1/4−1/4 with bounded-factor constants (source), the bridge mean-length exponent 4/34/34/3 (source), and spatial exponent 3/43/43/4 for several laws of critical walks (source).

Setting

Use the honeycomb lattice dual to the equilateral triangular tiling of side one, with one edge direction horizontal; its vertices are the triangles up i j and down i j, where j≥0j\ge0j≥0 indexes the horizontal band. Let SNS_NSN​ be the strip of NNN bands. A path starts in the triangle up 0 0 (just above bottom port 000), visits distinct triangles, moves between adjacent ones, and stays in bands 0,…,N−10,\dots,N-10,…,N−1. Its length ∣γ∣|\gamma|∣γ∣ is the number of visited triangles and its critical weight is ρ∣γ∣\rho^{|\gamma|}ρ∣γ∣ with ρ=(2+2)−1/2\rho=(2+\sqrt2)^{-1/2}ρ=(2+2​)−1/2. An arch ends at up k 0 with k≠0k\neq0k=0 (bottom port kkk); a bridge ends at a down triangle of the top band. Put c=cos⁡(3π/8)c=\cos(3\pi/8)c=cos(3π/8) and

KN(k)=∑arches to kρ∣γ∣,AN=∑k≠0KN(k),BN=∑bridgesρ∣γ∣,mN=∑k≥1k KN(k).K_N(k)=\sum_{\text{arches to }k}\rho^{|\gamma|},\quad A_N=\sum_{k\ne0}K_N(k),\quad B_N=\sum_{\text{bridges}}\rho^{|\gamma|},\quad m_N=\sum_{k\ge1}k\,K_N(k).KN​(k)=arches to k∑​ρ∣γ∣,AN​=k=0∑​KN​(k),BN​=bridges∑​ρ∣γ∣,mN​=k≥1∑​kKN​(k).

Write fN≍gNf_N\asymp g_NfN​≍gN​ if ℓgN≤fN≤ugN\ell g_N\le f_N\le u g_NℓgN​≤fN​≤ugN​ for all N≥1N\ge1N≥1 with fixed constants ℓ,u>0\ell,u>0ℓ,u>0.

Formalization targets

Goal: Theorem 1.1 (Critical strip mass, p. 2)

For every N≥1N\ge1N≥1 all sums above are finite, and with constants independent of NNN,

cAN+BN=1,mN+1−mN≍BN,mN≍N3/4,BN≍N−1/4,cA_N+B_N=1,\qquad m_{N+1}-m_N\asymp B_N,\qquad m_N\asymp N^{3/4},\qquad B_N\asymp N^{-1/4},cAN​+BN​=1,mN+1​−mN​≍BN​,mN​≍N3/4,BN​≍N−1/4,

and BNB_NBN​ is nonincreasing in NNN.

Significance

The result itself. It establishes the predicted crossing power −1/4-1/4−1/4 with uniform multiplicative constants, not just a logarithmic exponent, improving the qualitative decay of Beaton et al. and the polynomial upper bound of Krachun and Panagiotis. It is an input for the bridge-length and spatial-exponent results of companion preprints. The exponent of mNm_NmN​ concerns an unnormalized displacement moment summed over all lengths; the fixed-length displacement conjecture and the scaling limit are different questions.

Formalizing it. The proof combines an exact boundary identity of Duminil-Copin–Smirnov type, finite-strip transfer matrices with integrable local relations, a Pfaffian that makes the stationary vector polynomial, and a comparison of the resulting positive integral with Bures–Laguerre ensembles. A formal proof would include the honeycomb boundary identity, the core of the connective-constant proof, which is itself a natural formalization target. No machine-checked honeycomb walk result of this kind is known.

Difficulty

The boundary identity cAN+BN=1cA_N+B_N=1cAN​+BN​=1 (Lemma 4.2, p. 15) does not determine the power: it only gives BNB_NBN​ between orders 1/N1/N1/N and 111. The preprint's route computes the arch moment mNm_NmN​ first, as one coefficient of a ratio pN+1/pNp_{N+1}/p_NpN+1​/pN​ of Pfaffians (Proposition 4.1, p. 13), converts it into a positive NNN-fold integral with Bures-type interaction (Section 5), and estimates that integral uniformly in NNN by comparison with Laguerre laws (Section 6). The crossing power then follows from monotonicity and mN+1−mN≍BNm_{N+1}-m_N\asymp B_NmN+1​−mN​≍BN​. A degree bound on the polynomial vacuum (Lemma 3.2, p. 10) is essential, because it turns interpolation into an identity argument.

Formalization scope

  • Triangles are ℤ × ℕ × Bool (column, band, up/down); adjacency joins an up triangle to the down triangles sharing an edge. Paths are Lists with Nodup, IsChain adjacent, head up 0 0, a prescribed last triangle, and all bands < N.
  • Weights are rho ^ p.length on paths satisfying IsPath, and 0 otherwise; all masses are tsums over lists. The goal includes summability of each family, so the tsums are genuine sums.
  • moment N = ∑' k : ℕ, (k+1) * K N (k+1), i.e. ∑k≥1kKN(k)\sum_{k\ge1}kK_N(k)∑k≥1​kKN​(k).
  • Comparable f g asks for constants 0<ℓ,u0<\ell,u0<ℓ,u with ℓg(N)≤f(N)≤ug(N)\ell g(N)\le f(N)\le ug(N)ℓg(N)≤f(N)≤ug(N) for every N≥1N\ge1N≥1; powers are real rpow.
  • Monotonicity is BN+1≤BNB_{N+1}\le B_NBN+1​≤BN​ for N≥1N\ge1N≥1.

Reusable contributions: the honeycomb boundary (parafermionic) identity in finite domains, and summability of critical walk weights in strips.

Selected references

  • OpenAI, Critical strip-crossing mass on the honeycomb lattice, OpenAI Math Release preprint, September 26, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Critical-strip-crossing-mass-on-the-honeycomb-lattice-September-26-2026/main.pdf
  • G. F. Lawler, O. Schramm, W. Werner, On the scaling limit of planar self-avoiding walk, Proc. Sympos. Pure Math. 72, Part 2 (2004), 339–364.
  • Y. Ikhlef, J. Cardy, Discretely holomorphic parafermions and integrable loop models, J. Phys. A 42 (2009), 102001. https://doi.org/10.1088/1751-8113/42/10/102001
  • A. Glazman, Connective constant for a weighted self-avoiding walk on Z2\mathbb Z^2Z2, Electron. Commun. Probab. 20 (2015), paper 86. https://doi.org/10.1214/ECP.v20-3844
  • B. Nienhuis, Exact critical point and critical exponents of O(n) models in two dimensions, Phys. Rev. Lett. 49 (1982), 1062–1065. https://doi.org/10.1103/PhysRevLett.49.1062
  • H. Duminil-Copin, S. Smirnov, The connective constant of the honeycomb lattice equals 2+2\sqrt{2+\sqrt2}2+2​​, Ann. of Math. 175 (2012), 1653–1665. https://doi.org/10.4007/annals.2012.175.3.14
  • N. R. Beaton, M. Bousquet-Mélou, J. de Gier, H. Duminil-Copin, A. J. Guttmann, The critical fugacity for surface adsorption of self-avoiding walks on the honeycomb lattice is 1+21+\sqrt21+2​, Comm. Math. Phys. 326 (2014). https://doi.org/10.1007/s00220-014-1896-1
  • A. Glazman, I. Manolescu, Self-avoiding walk on Z2\mathbb Z^2Z2 with Yang–Baxter weights: universality of critical fugacity and 2-point function, Ann. Inst. H. Poincaré Probab. Statist. 56 (2020). https://doi.org/10.1214/19-AIHP1024
  • D. Krachun, C. Panagiotis, Quantitative sub-ballisticity of self-avoiding walk on the hexagonal lattice, Ann. Probab. 54 (2026), 1109–1125. https://doi.org/10.1214/24-AOP1730
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Computing the Random 3-SAT ThresholdResearch Paper

Motivation

Random 3-SAT, a conjunction of random three-literal clauses on nnn variables, is the classic test case for the typical behavior of satisfiability. Experiments placed the hardest instances near the density where half the formulas are satisfiable, and statistical physics predicts a sharp satisfiability threshold near 4.2674.2674.267. Once a limiting threshold α3\alpha_3α3​ is known to exist, a natural question is whether it is a computable real: is there an algorithm that, given rrr, outputs a rational within 2−r2^{-r}2−r of α3\alpha_3α3​? Existence alone does not imply this, since limits of computable sequences need not be computable (Specker 1949). This mission asks for such an algorithm.

Timeline

  • 1949. Specker constructs a bounded monotone computable sequence of rationals with a noncomputable limit.
  • 1999. Friedgut, with an appendix by Bourgain, proves a sharp transition about a size-dependent location (doi:10.1090/S0894-0347-99-00305-7).
  • 2003, 2006. Hajiaghayi and Sorkin, and Kaporis, Kirousis and Lalas, prove the lower bound 3.523.523.52 (arXiv:math/0310193).
  • 2002–2006. Mézard, Parisi and Zecchina develop the cavity/survey-propagation picture; Mertens, Mézard and Zecchina predict α3≈4.267\alpha_3\approx4.267α3​≈4.267.
  • 2009. Díaz, Kirousis, Mitsche and Pérez-Giménez prove the upper bound 4.48984.48984.4898.
  • 2013. Bayati, Gamarnik and Tetali prove limits for normalized optimization values via sparse interpolation (doi:10.1214/12-AOP816).
  • 2022. Ding, Sly and Sun prove the satisfiability conjecture with the predicted value for all large kkk (doi:10.4007/annals.2022.196.1.1).
  • 2026. Carenini proves a polynomial scaling window and the existence of limiting thresholds for every fixed k≥3k\ge3k≥3 (ECCC TR26-229, made public October 5, 2026); priority for the satisfiability conjecture belongs to Carenini.

The source of this mission is an OpenAI preprint dated September 27, 2026. Its contribution is computability of α3\alpha_3α3​, beyond existence.

Setting

For n≥3n\ge3n≥3, a proper random 3-clause chooses three distinct variables uniformly from x1,…,xnx_1,\dots,x_nx1​,…,xn​ and gives each an independent fair sign. Let Φ(n,m)\Phi(n,m)Φ(n,m) be the conjunction of m≥0m\ge0m≥0 independent such clauses (sampled with replacement from the 8(n3)8\binom n38(3n​) possibilities; the empty formula is satisfiable) and

p(n,m)=P{Φ(n,m) is satisfiable}.p(n,m)=\mathbb P\{\Phi(n,m)\ \text{is satisfiable}\}.p(n,m)=P{Φ(n,m) is satisfiable}.

A real α\alphaα is computable if a single algorithm, on input rrr, halts with a rational qrq_rqr​ satisfying ∣qr−α∣≤2−r|q_r-\alpha|\le2^{-r}∣qr​−α∣≤2−r.

Formalization targets

Goal: Theorem 1.1

There is α3∈(0,∞)\alpha_3\in(0,\infty)α3​∈(0,∞) such that for every fixed real a≥0a\ge0a≥0

lim⁡n→∞p(n,⌊an⌋)={1,a<α3,0,a>α3,\lim_{n\to\infty}p(n,\lfloor an\rfloor)=\begin{cases}1,&a<\alpha_3,\\0,&a>\alpha_3,\end{cases}n→∞lim​p(n,⌊an⌋)={1,0,​a<α3​,a>α3​,​

and one finite deterministic Turing machine, on input 1r1^r1r, halts with a rational qrq_rqr​ with ∣qr−α3∣≤2−r|q_r-\alpha_3|\le2^{-r}∣qr​−α3​∣≤2−r, using no oracle, advice, or noncomputable constant. Lean: OAI.FixedClauseThreshold.Computability.main, open on the platform.

Significance

The theorem makes the random 3-SAT threshold an effectively approximable constant: in principle its digits can be certified, although no efficiency bound is obtained. The method produces two families of finite certificates, rational lower bounds from a deletion estimate and rational upper bounds from finite hierarchical approximations of a soft pressure, and a fair search over them halts without any computable rate of finite-size convergence. The paper also gives a self-contained existence proof of α3\alpha_3α3​ (Theorem 4.4) for the same proper-clause model.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists.

Difficulty

Finite-size satisfiability probabilities are computable, but their convergence rate is unknown, so truncating at a finite nnn certifies nothing. Lower certificates need an explicit bound on how far the finite-size centers can lie above the limit. Upper certificates are harder: one must show that above α3\alpha_3α3​ some finite, checkable object witnesses unsatisfiability in the limit. This requires a variational (Parisi-type) description of the limiting pressure of the soft constraint model, approximated by finitely many rational parameters with a proof that the approximation is complete at every rational density above the threshold.

Formalization scope

  • ProperClause n k is Fin n → Option Bool with exactly kkk defined entries; Formula n k m := Fin m → ProperClause n k; properSATProbability n 3 m is the exact counting ratio, equal to p(n,m)p(n,m)p(n,m).
  • MainStatement asserts ∃ α>0\exists\,\alpha>0∃α>0 with the two strict-side limits at m=⌊an⌋m=\lfloor an\rfloorm=⌊an⌋, a sequence q : ℕ → ℚ with Computable (fun r => encode (q r)), a Nat.Partrec.Code c with c.eval r = some (encode (q r)), and ∣qr−α∣≤2−r|q_r-\alpha|\le2^{-r}∣qr​−α∣≤2−r for all rrr.
  • The input is a natural number rather than a unary string, which is equivalent for computability; the r=0r=0r=0 case is a harmless extra requirement.
  • Nothing is asserted at a=α3a=\alpha_3a=α3​.

Infrastructure: Mathlib's Computable/Nat.Partrec.Code, finite counting for random formulas, Poisson clause processes, interpolation bounds, and Ruelle cascades for the upper certificates. Formalizations of Lemma 2.1 (finite-certificate search, purely computability-theoretic and reusable), Theorem 4.4 and Theorem 8.4 are welcome.

Selected references

  • OpenAI, Computing the Random 3-SAT Threshold, preprint, September 27, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Computing-the-Random-3-SAT-Threshold-September-27-2026/article.pdf
  • OpenAI, A Limiting Satisfiability Threshold for Every Fixed Clause Size, preprint, September 25, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Limiting-Satisfiability-Threshold-for-Every-Fixed-Clause-Size-September-25-2026/article.pdf
  • G. Carenini, A polynomial scaling window for random k-SAT and a proof of the satisfiability conjecture, ECCC TR26-229, 2026. https://eccc.weizmann.ac.il/report/2026/229/
  • E. Friedgut (appendix by J. Bourgain), Sharp thresholds of graph properties, and the k-SAT problem, J. Amer. Math. Soc., 1999. https://doi.org/10.1090/S0894-0347-99-00305-7
  • J. Ding, A. Sly, N. Sun, Proof of the satisfiability conjecture for large k, Ann. of Math., 2022. https://doi.org/10.4007/annals.2022.196.1.1
  • M. Bayati, D. Gamarnik, P. Tetali, Combinatorial approach to the interpolation method and scaling limits in sparse random graphs, Ann. Probab., 2013. https://doi.org/10.1214/12-AOP816
  • M. Hajiaghayi, G. B. Sorkin, The satisfiability threshold of random 3-SAT is at least 3.52, preprint, 2003. https://arxiv.org/abs/math/0310193
  • D. Panchenko, The Parisi ultrametricity conjecture, Ann. of Math., 2013. https://doi.org/10.4007/annals.2013.177.1.8
  • E. Specker, Nicht konstruktiv beweisbare Sätze der Analysis, J. Symbolic Logic, 1949.
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Variance of the Random k-SAT Hitting TimeResearch Paper

Motivation

Add random clauses one at a time to a Boolean formula on nnn variables until it first becomes unsatisfiable. The index HnH_nHn​ of that first failure is the satisfiability hitting time of random kkk-SAT. Its mean, divided by nnn, converges to the satisfiability threshold; its variance measures the width of the transition window. Friedgut's sharp-threshold theorem shows the window is o(n)o(n)o(n), but quantitative widths have remained far from the n\sqrt nn​ scale suggested by lower bounds. This mission asks for the order of the variance of HnH_nHn​ for every fixed k≥3k\ge3k≥3.

Timeline

  • 1981. Efron and Stein prove their variance inequality, the basic tool for fluctuation bounds of functions of independent inputs (doi:10.1214/aos/1176345462).
  • 1999. Friedgut, with an appendix by Bourgain, proves a sharp threshold sequence for each fixed kkk (doi:10.1090/S0894-0347-99-00305-7).
  • 2002. Wilson proves an Ωk(n)\Omega_k(\sqrt n)Ωk​(n​) separation of central quantiles for the proper-clause model (doi:10.1002/rsa.10050).
  • 2005. Boucheron, Bousquet, Lugosi and Massart give moment inequalities for functions of independent variables (doi:10.1214/009117904000000856).
  • 2022. Ding, Sly and Sun prove the satisfiability conjecture for large kkk (doi:10.4007/annals.2022.196.1.1).
  • 2026. Carenini proves an Ok,η(n/log⁡n)O_{k,\eta}(n/\log n)Ok,η​(n/logn) window (ECCC TR26-145, arXiv:2609.26222) and then a polynomial window Ok,η(n1/2+1/k)O_{k,\eta}(n^{1/2+1/k})Ok,η​(n1/2+1/k) with variance Ok(n1+2/k)O_k(n^{1+2/k})Ok​(n1+2/k), resolving the satisfiability conjecture for every fixed k≥3k\ge3k≥3 (ECCC TR26-229, made public October 5, 2026); priority for that resolution belongs to Carenini. A companion OpenAI preprint gives an alternative proof of the limiting threshold.

The source of this mission is an OpenAI preprint dated September 27, 2026.

Setting

Fix k≥3k\ge3k≥3 and n≥kn\ge kn≥k. A proper kkk-clause is an OR of literals on kkk distinct variables; let C1,C2,…C_1,C_2,\dotsC1​,C2​,… be independent uniform choices among the 2k(nk)2^k\binom nk2k(kn​) signed proper clauses (signs fair, whole clauses may repeat). Put

Fm=C1∧⋯∧Cm,F0=true,Hn=min⁡{m≥1: Fm unsatisfiable},F_m=C_1\wedge\dots\wedge C_m,\qquad F_0=\text{true},\qquad H_n=\min\{m\ge1:\ F_m\ \text{unsatisfiable}\},Fm​=C1​∧⋯∧Cm​,F0​=true,Hn​=min{m≥1: Fm​ unsatisfiable},

and, for fixed B>0B>0B>0, the capped hitting time Tn,B=min⁡{Hn,⌊Bn⌋}T_{n,B}=\min\{H_n,\lfloor Bn\rfloor\}Tn,B​=min{Hn​,⌊Bn⌋}. Since each assignment survives a clause with probability 1−2−k1-2^{-k}1−2−k, HnH_nHn​ is a.s. finite with all moments. Write

ℓk(n)={log⁡(en),k=3,1,k≥4,Uk=log⁡2−log⁡(1−2−k).\ell_k(n)=\begin{cases}\log(en),&k=3,\\1,&k\ge4,\end{cases}\qquad U_k=\frac{\log2}{-\log(1-2^{-k})}.ℓk​(n)={log(en),1,​k=3,k≥4,​Uk​=−log(1−2−k)log2​.

Formalization targets

Goal: Theorem 1.1

There are constants Ck,ck>0C_k,c_k>0Ck​,ck​>0 with

Var⁡(Hn)≤Ck n ℓk(n)(n≥k),Var⁡(Hn)≥ckn(n large),\operatorname{Var}(H_n)\le C_k\,n\,\ell_k(n)\quad(n\ge k),\qquad \operatorname{Var}(H_n)\ge c_kn\quad(n\ \text{large}),Var(Hn​)≤Ck​nℓk​(n)(n≥k),Var(Hn​)≥ck​n(n large),

and for every fixed B>0B>0B>0 a constant Ck,BC_{k,B}Ck,B​ with Var⁡(Tn,B)≤Ck,B n ℓk(n)\operatorname{Var}(T_{n,B})\le C_{k,B}\,n\,\ell_k(n)Var(Tn,B​)≤Ck,B​nℓk​(n); if B>UkB>U_kB>Uk​ then also Var⁡(Tn,B)≥ckn\operatorname{Var}(T_{n,B})\ge c_knVar(Tn,B​)≥ck​n for large nnn. Hence Var⁡(Hn)=Θk(n)\operatorname{Var}(H_n)=\Theta_k(n)Var(Hn​)=Θk​(n) for k≥4k\ge4k≥4. Lean: OAI.RandomKSAT.variance_main, open on the platform.

Milestone: Propositions A.1–A.2 (optimality of exponents)

The killing-probability exponent β=k/(k−1)\beta=k/(k-1)β=k/(k−1) in the lifetime bound τk(S)qd(S)β≤Ckdβ\tau_k(S)q_d(S)^\beta\le C_kd^\betaτk​(S)qd​(S)β≤Ck​dβ (Proposition 2.3) cannot be decreased, and the block-error term g−(k−1)g^{-(k-1)}g−(k−1) in the replacement lemma cannot be improved to o(g−(k−1))o(g^{-(k-1)})o(g−(k−1)) uniformly. Lean: OAI.RandomKSAT.sharpness.

Significance

For k≥4k\ge4k≥4 the theorem determines the variance of the hitting time up to constants, so the transition window has width Θk(n)\Theta_k(\sqrt n)Θk​(n​) in the variance sense, matching Wilson's lower bound and improving Carenini's Ok(n1+2/k)O_k(n^{1+2/k})Ok​(n1+2/k) variance bound. For k=3k=3k=3 it leaves only a logarithmic gap, closed in a companion OpenAI preprint. Chebyshev's inequality then gives concentration of HnH_nHn​ about EHn\mathbb EH_nEHn​ at scale nℓk(n)\sqrt{n\ell_k(n)}nℓk​(n)​.

The results are proved in an OpenAI preprint; they have not been peer reviewed, and no machine-checked proof exists.

Difficulty

The Efron–Stein inequality reduces the upper bound to the expected squared delay caused by deleting one clause, which counts pairs of prefixes at which that clause is pivotal. Controlling this occupation time requires a uniform estimate relating how quickly a set of assignments is killed by shorter (k−1)(k-1)(k−1)-clauses to its lifetime under kkk-clauses, valid for every assignment set with no lower cutoff. Earlier arguments truncate the number of clauses incident to the deleted clause's variables at a logarithmic level, which costs a logarithm; keeping that number as a random parameter without destroying independence is the main obstacle. Appendix A shows the relevant exponents are sharp.

Formalization scope

  • Clause n k is a dependent pair of a kkk-element Finset (Fin n) and a sign vector on it; clauseLaw is uniform; streamLaw is the infinite product (Measure.infinitePi).
  • firstFailure ω is the least mmm with an unsatisfiable prefix, valued in ℕ∞; H = (firstFailure ω).toNat; T B ω = (min (firstFailure ω) ⌊Bn⌋).toNat. The infinite case has probability zero.
  • variance is ProbabilityTheory.variance under streamLaw n k; ell, U are as displayed.
  • In the milestone, blockKill u s S g is the probability that ggg independent proper sss-clauses kill SSS, and lifetime u k S =∑mP(S survives m clauses)=\sum_m\mathbb P(S\text{ survives }m\text{ clauses})=∑m​P(S survives m clauses) is τk(S)\tau_k(S)τk​(S).

Infrastructure: product measures on clause streams, Efron–Stein, conditioning on incidence patterns. Formalizations of Proposition 2.3 (lifetime from shorter-clause killing), Proposition 4.3 (conditional squared delay), Corollary 5.2 and Proposition 6.2 (linear variance lower bound) are welcome.

Selected references

  • OpenAI, Variance of the Random k-SAT Hitting Time, preprint, September 27, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Variance-of-the-Random-k-SAT-Hitting-Time-September-27-2026/article.pdf
  • OpenAI, A Limiting Satisfiability Threshold for Every Fixed Clause Size, preprint, September 25, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Limiting-Satisfiability-Threshold-for-Every-Fixed-Clause-Size-September-25-2026/article.pdf
  • G. Carenini, A polynomial scaling window for random k-SAT and a proof of the satisfiability conjecture, ECCC TR26-229, 2026. https://eccc.weizmann.ac.il/report/2026/229/
  • G. Carenini, The scaling window of random k-SAT, ECCC TR26-145, 2026. https://arxiv.org/abs/2609.26222
  • E. Friedgut (appendix by J. Bourgain), Sharp thresholds of graph properties, and the k-SAT problem, J. Amer. Math. Soc., 1999. https://doi.org/10.1090/S0894-0347-99-00305-7
  • D. B. Wilson, On the critical exponents of random k-SAT, Random Structures Algorithms, 2002. https://doi.org/10.1002/rsa.10050
  • J. Ding, A. Sly, N. Sun, Proof of the satisfiability conjecture for large k, Ann. of Math., 2022. https://doi.org/10.4007/annals.2022.196.1.1
  • B. Efron, C. Stein, The jackknife estimate of variance, Ann. Statist., 1981. https://doi.org/10.1214/aos/1176345462
  • S. Boucheron, O. Bousquet, G. Lugosi, P. Massart, Moment inequalities for functions of independent random variables, Ann. Probab., 2005. https://doi.org/10.1214/009117904000000856
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A Limiting Satisfiability Threshold for Every Fixed Clause SizeResearch Paper

Motivation

A random kkk-SAT formula on nnn Boolean variables is a conjunction of mmm independent random clauses, each an OR of kkk literals on distinct variables. As the clause density m/nm/nm/n grows, the formula changes from almost surely satisfiable to almost surely unsatisfiable. Random kkk-SAT is a central model in probabilistic combinatorics, the theory of algorithms and statistical physics: its threshold is where hard instances are expected to concentrate, and it is a proving ground for methods from spin-glass theory. The satisfiability conjecture, formulated explicitly by Chvátal and Reed, asserts that for each fixed kkk the transition happens at a limiting density αk\alpha_kαk​ that does not drift with nnn.

Timeline

  • 1992. Chvátal and Reed settle k=2k=2k=2 and formulate the conjecture for every fixed clause size (doi:10.1109/SFCS.1992.267789); Goerdt gives an independent proof for k=2k=2k=2 (doi:10.1006/jcss.1996.0081).
  • 1999. Friedgut, with an appendix by Bourgain, proves a sharp transition around a sequence of densities, leaving open whether the sequence converges (doi:10.1090/S0894-0347-99-00305-7).
  • 2002, 2006. Mézard, Parisi and Zecchina, and Mertens, Mézard and Zecchina, predict threshold values via the cavity method (doi:10.1126/science.1073287, doi:10.1002/rsa.20090).
  • 2004. Achlioptas and Peres prove bounds 2klog⁡2−O(k)2^k\log2-O(k)2klog2−O(k) (doi:10.1090/S0894-0347-04-00464-3).
  • 2013, 2014. Bayati, Gamarnik and Tetali develop combinatorial interpolation for sparse random structures (doi:10.1214/12-AOP816); Abbe and Montanari study concentration of solution counts (doi:10.1002/rsa.20501).
  • 2016. Coja-Oghlan and Panagiotou locate the threshold sequence within ok(1)o_k(1)ok​(1) of 2klog⁡2−(1+log⁡2)/22^k\log2-(1+\log2)/22klog2−(1+log2)/2 (doi:10.1016/j.aim.2015.11.007).
  • 2022. Ding, Sly and Sun prove the conjecture for all sufficiently large kkk, with the 1RSB value (doi:10.4007/annals.2022.196.1.1).
  • 2026. Carenini proves a polynomial scaling window and resolves the conjecture for every fixed k≥3k\ge3k≥3 (ECCC TR26-229, made public October 5, 2026; https://eccc.weizmann.ac.il/report/2026/229/). Priority for the resolution belongs to Carenini.

The source of this mission is an OpenAI preprint dated September 25, 2026, which gives an alternative proof of the existence of the limiting threshold.

Setting

Fix k≥3k\ge3k≥3. For n≥kn\ge kn≥k, a proper kkk-clause chooses kkk distinct variables among x1,…,xnx_1,\dots,x_nx1​,…,xn​ uniformly and gives each an independent fair sign, so each of the 2k(nk)2^k\binom nk2k(kn​) clauses is equally likely. Let C1,C2,…C_1,C_2,\dotsC1​,C2​,… be independent such clauses (sampled with replacement: two positions may hold the same clause) and

Fn,m=⋀i=1mCi,Pn(m)=P(Fn,m is satisfiable),Pn(0)=1.F_{n,m}=\bigwedge_{i=1}^mC_i,\qquad P_n(m)=\mathbb P(F_{n,m}\ \text{is satisfiable}),\qquad P_n(0)=1 .Fn,m​=i=1⋀m​Ci​,Pn​(m)=P(Fn,m​ is satisfiable),Pn​(0)=1.

The ratio c=m/nc=m/nc=m/n is the clause density.

Formalization targets

Goal: Theorem 1.1

For every fixed integer k≥3k\ge3k≥3 there is αk∈(0,∞)\alpha_k\in(0,\infty)αk​∈(0,∞) such that

lim⁡n→∞Pn(⌊cn⌋)={1,0≤c<αk,0,c>αk.\lim_{n\to\infty}P_n(\lfloor cn\rfloor)=\begin{cases}1,&0\le c<\alpha_k,\\ 0,&c>\alpha_k.\end{cases}n→∞lim​Pn​(⌊cn⌋)={1,0,​0≤c<αk​,c>αk​.​

No assertion is made at c=αkc=\alpha_kc=αk​, and the value of αk\alpha_kαk​ is not identified. Lean: OAI.FixedClauseThreshold.main, open on the platform.

Significance

The theorem settles, for every fixed k≥3k\ge3k≥3, the existence half of the threshold question: Friedgut's sharp transition happens at a location that converges. Previously this was known only for large kkk (Ding–Sly–Sun) and for k=2k=2k=2. Existence is a prerequisite for questions about the value of αk\alpha_kαk​, its computability, and the fluctuations of the satisfiability hitting time, which companion OpenAI preprints address. The proof here proceeds through concentration of a capped last satisfiable index and a comparison between system sizes; it does not rely on Carenini's window.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists.

Difficulty

A sharp-threshold theorem gives a narrow window at each nnn but no control of how the window's center moves with nnn. Convergence needs a comparison between different system sizes, and interpolation methods from spin-glass theory deliver free-energy bounds, not hard satisfiability statements, and often only for even arity. The center must also be shown to concentrate polynomially, which requires bounding how many variables are forced along the clause process.

Formalization scope

  • ProperClause n k is a function Fin n → Option Bool with exactly kkk defined entries; some b at iii is the literal satisfied when σi=b\sigma_i=bσi​=b.
  • Formula n k m := Fin m → ProperClause n k (ordered, with replacement); properSATProbability n k m is the exact ratio of satisfiable formulas to all formulas, which equals Pn(m)P_n(m)Pn​(m) under the uniform product law.
  • Degenerate sizes: m=0m=0m=0 gives probability 111; for n<kn<kn<k and m>0m>0m>0 the ensemble is empty and the ratio is 000 by convention, affecting only finitely many nnn.
  • HasLimitingThreshold k asserts ∃ α>0\exists\,\alpha>0∃α>0 with limits 111 for 0≤c<α0\le c<\alpha0≤c<α and 000 for c>αc>\alphac>α at m=⌊cn⌋m=\lfloor cn\rfloorm=⌊cn⌋.

Infrastructure: finite counting of formulas, Efron–Stein-type variance bounds, a deterministic concentration-to-convergence lemma (Theorem 5.1), and the Poisson/interpolation comparison with the transfer back to proper clauses. Formalizations of Proposition 2.2 (integrated forcing), Proposition 3.3 (polynomial concentration) and Theorem 5.1 are welcome.

Selected references

  • OpenAI, A Limiting Satisfiability Threshold for Every Fixed Clause Size, preprint, September 25, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Limiting-Satisfiability-Threshold-for-Every-Fixed-Clause-Size-September-25-2026/article.pdf
  • G. Carenini, A polynomial scaling window for random k-SAT and a proof of the satisfiability conjecture, ECCC TR26-229, 2026. https://eccc.weizmann.ac.il/report/2026/229/
  • V. Chvátal, B. Reed, Mick gets some (the odds are on his side), FOCS 1992. https://doi.org/10.1109/SFCS.1992.267789
  • E. Friedgut (appendix by J. Bourgain), Sharp thresholds of graph properties, and the k-SAT problem, J. Amer. Math. Soc., 1999. https://doi.org/10.1090/S0894-0347-99-00305-7
  • D. Achlioptas, Y. Peres, The threshold for random k-SAT is 2klog⁡2−O(k)2^k\log2-O(k)2klog2−O(k), J. Amer. Math. Soc., 2004. https://doi.org/10.1090/S0894-0347-04-00464-3
  • A. Coja-Oghlan, K. Panagiotou, The asymptotic k-SAT threshold, Adv. Math., 2016. https://doi.org/10.1016/j.aim.2015.11.007
  • J. Ding, A. Sly, N. Sun, Proof of the satisfiability conjecture for large k, Ann. of Math., 2022. https://doi.org/10.4007/annals.2022.196.1.1
  • M. Bayati, D. Gamarnik, P. Tetali, Combinatorial approach to the interpolation method and scaling limits in sparse random graphs, Ann. Probab., 2013. https://doi.org/10.1214/12-AOP816
  • E. Abbe, A. Montanari, On the concentration of the number of solutions of random satisfiability formulas, Random Structures Algorithms, 2014. https://doi.org/10.1002/rsa.20501
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The free uniform spanning forest is a factor of IIDResearch Paper

Motivation

A uniform spanning tree of a finite connected graph is a spanning tree chosen uniformly at random. On an infinite graph one takes limits along finite pieces: the free uniform spanning forest (FUSF) is the weak limit of uniform spanning trees of an increasing sequence of finite connected subgraphs, with no boundary identification. Uniform spanning forests connect random walks, electrical networks, determinantal processes and ℓ2\ell^2ℓ2-Betti numbers of groups.

A random object on a graph is a factor of IID if it can be produced by one measurable rule from independent uniform labels on the vertices, in a way that commutes with all graph symmetries. Such representations are the measure-theoretic analogue of local algorithms, and they are central in ergodic theory of group actions. Whether the FUSF is a factor of IID was raised by Lyons at Oberwolfach in 2013, and Timár's 2025 paper describes the unrestricted question as open.

Timeline

  • 1991. Pemantle constructs infinite-volume uniform spanning trees on Zd\mathbb Z^dZd (Ann. Probab., 1991; arXiv:math/0404043).
  • 2001. Benjamini, Lyons, Peres and Schramm develop the general theory of free and wired uniform spanning forests; on transient graphs the wired forest is a factor of IID via Wilson's algorithm rooted at infinity (doi:10.1214/aop/1008956321).
  • 2003. Lyons develops determinantal probability measures on countable sets (doi:10.1007/s10240-003-0016-0).
  • 2009. Borcea, Brändén and Liggett introduce strongly Rayleigh measures and their negative-dependence theory (doi:10.1090/S0894-0347-08-00618-8).
  • 2013. Lyons discusses the FUSF factor question for Cayley graphs (doi:10.4171/OWR/2013/42).
  • 2016. Lyons and Thom prove Bernoulli isomorphism for equivariant determinantal measures on amenable Cayley graphs and ask a broader determinantal factor question (doi:10.1017/etds.2014.70).
  • 2022. Nam, Sly and Zhang give FIID codings of free Ising measures on regular trees through Brownian-driven systems (doi:10.1007/s00220-021-04260-2).
  • 2025. Timár proves FIID representability of the free forest on recurrent and invariantly amenable unimodular random graphs (doi:10.1007/s11856-025-2884-1).

The source of this mission, an OpenAI preprint dated September 25, 2026, proves the unrestricted statement with one rule for all graphs.

Setting

Let GGG be an infinite, connected, locally finite, simple, undirected graph. For a finite connected subgraph HHH, let USTH\mathrm{UST}_HUSTH​ be the uniform law on spanning trees of HHH. For finite connected subgraphs H1⊆H2⊆⋯H_1\subseteq H_2\subseteq\cdotsH1​⊆H2​⊆⋯ whose edges exhaust E(G)E(G)E(G), the laws USTHn\mathrm{UST}_{H_n}USTHn​​ (edges outside HnH_nHn​ absent) converge weakly; the limit FUSFG\mathrm{FUSF}_GFUSFG​ on {0,1}E(G)\{0,1\}^{E(G)}{0,1}E(G) does not depend on the exhaustion (Proposition 2.2).

A rule Φ(G,U,e)∈{0,1}\Phi(G,U,e)\in\{0,1\}Φ(G,U,e)∈{0,1} takes a graph, real vertex labels U=(Uv)U=(U_v)U=(Uv​) and an edge. It is equivariant if Φ(σG,σU,σe)=Φ(G,U,e)\Phi(\sigma G,\sigma U,\sigma e)=\Phi(G,U,e)Φ(σG,σU,σe)=Φ(G,U,e) for every isomorphism σ\sigmaσ, and root independent if it uses no distinguished vertex.

A law μ\muμ on {0,1}F\{0,1\}^F{0,1}F, FFF finite, is strongly Rayleigh if ∑xμ(x)∏izixi≠0\sum_x\mu(x)\prod_iz_i^{x_i}\ne0∑x​μ(x)∏i​zixi​​=0 whenever all Im⁡zi>0\operatorname{Im}z_i>0Imzi​>0; on a countable set, every finite marginal must be strongly Rayleigh.

Formalization targets

Milestones (strongly Rayleigh processes, Section 6)

  • Lemma 6.1: for strongly Rayleigh μ\muμ and tilts μh\mu_hμh​, ∂pi/∂hj=Cov⁡μh(Xi,Xj)\partial p_i/\partial h_j=\operatorname{Cov}_{\mu_h}(X_i,X_j)∂pi​/∂hj​=Covμh​​(Xi​,Xj​) and ∑j∣∂pi/∂hj∣≤2pi(1−pi)≤12\sum_j|\partial p_i/\partial h_j|\le2p_i(1-p_i)\le\tfrac12∑j​∣∂pi​/∂hj​∣≤2pi​(1−pi​)≤21​.
  • Theorem 1.3: an invariant strongly Rayleigh law on {0,1}Γ\{0,1\}^\Gamma{0,1}Γ, Γ\GammaΓ a countable group, is an equivariant factor of IID.
  • Inputs to Corollary 1.4: finite determinantal laws with 0≤K≤I0\le K\le I0≤K≤I exist and are strongly Rayleigh; on a countable set the determinantal law of a positive contraction exists and is unique.
  • Corollary 1.4: invariant determinantal laws on countable groups are factors of IID, in particular when Kgh,gk=Kh,kK_{gh,gk}=K_{h,k}Kgh,gk​=Kh,k​.

Goal: Theorem 1.1

∃ Φ Borel, equivariant, root independent:∀G,{e:Φ(G,U,e)=1}∼FUSFGfor IID Uniform[0,1] U.\exists\ \Phi\ \text{Borel, equivariant, root independent}:\quad \forall G,\quad \{e:\Phi(G,U,e)=1\}\sim\mathrm{FUSF}_G\quad\text{for IID Uniform}[0,1]\ U.∃ Φ Borel, equivariant, root independent:∀G,{e:Φ(G,U,e)=1}∼FUSFG​for IID Uniform[0,1] U.

The Lean statement OAI.Problem336.fusf_is_factor_iid is open on the platform.

Significance

Theorem 1.1 answers the FUSF factor question without amenability, transience, unimodularity, degree bounds or moment assumptions, and with a single rule for all graphs; Corollary 1.2 gives the factor statement under every unimodular random graph law. Theorem 1.3 and Corollary 1.4 extend the method to all invariant strongly Rayleigh and determinantal processes on countable groups, addressing the regular-action case of the Lyons–Thom question. The paper asserts an ordinary Borel factor, not a finitary one.

The result is proved in an OpenAI preprint; it has not been peer reviewed, and no machine-checked proof exists. Formalization would also provide uniform spanning trees, the free forest limit, strongly Rayleigh measures and determinantal laws as reusable Lean objects.

Difficulty

Previous constructions use structure that is absent in general: Wilson's algorithm works for the wired forest on transient graphs, and Timár's construction needs monotone limits along a hyperfinite exhaustion. A factor must produce one exact sample of the infinite-volume law while controlling all edges jointly, and equivariance forbids any choice of root or ordering. The paper's route observes the forest through independent Brownian noises and must show that the posterior drift has a uniformly Lipschitz response to the observations even when the fields are unbounded over the graph.

Formalization scope

  • Graphs are coded on vertex set N\mathbb NN by symmetric irreflexive ℕ → ℕ → Bool; edges are pairs u<vu<vu<v; a connected graph on N\mathbb NN is automatically infinite. Equivariance is invariance under every permutation of N\mathbb NN applied to graph, labels and edge.
  • RuleBorel is joint measurability of Φ\PhiΦ in the product σ-algebras.
  • IsVertexIID requires the label coordinates to have independent Uniform[0,1][0,1][0,1] finite-dimensional laws (with s=∅s=\varnothings=∅ this forces a probability measure).
  • HasFUSFLaw asks that every cylinder probability (edges in AAA present, edges in BBB absent) be the limit of the corresponding uniform-spanning-tree ratio along every exhaustion by finite connected subgraphs covering all edges.
  • The strongly Rayleigh and determinantal milestones use ProbabilityMeasure (Γ → Bool), left translation (τga)h=ag−1h(\tau_ga)_h=a_{g^{-1}h}(τg​a)h​=ag−1h​, i.i.d. labels in Set.Icc 0 1 via Measure.infinitePi, and Hermitian kernels with 0≤⟨c,Kc⟩≤∥c∥20\le\langle c,Kc\rangle\le\|c\|^20≤⟨c,Kc⟩≤∥c∥2 on finitely supported vectors.

A complete development needs the matrix-tree theorem and Kirchhoff formulas, weak limits on {0,1}E\{0,1\}^{E}{0,1}E, Brownian motion and a Borel Picard iteration for the decoder, and the Borcea–Brändén–Liggett theory. Contributions formalizing Proposition 2.2 (free exhaustion limit), Lemma 2.3 (finite-field forest response) and Proposition 4.2 (sampling from independent Brownian paths) are welcome.

Selected references

  • OpenAI, The free uniform spanning forest is a factor of IID, preprint, September 25, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/The-free-uniform-spanning-forest-is-a-factor-of-IID-September-25-2026/The-free-uniform-spanning-forest-is-a-factor-of-IID-September-25-2026.pdf
  • I. Benjamini, R. Lyons, Y. Peres, O. Schramm, Uniform spanning forests, Ann. Probab., 2001. https://doi.org/10.1214/aop/1008956321
  • R. Lyons, ℓ²-Betti numbers, cost, and the free uniform spanning forest, Oberwolfach Reports, 2013. https://doi.org/10.4171/OWR/2013/42
  • Á. Timár, Factor of iid's through stochastic domination, Israel J. Math., 2025. https://doi.org/10.1007/s11856-025-2884-1
  • R. Lyons, A. Thom, Invariant coupling of determinantal measures on sofic groups, Ergodic Theory Dynam. Systems, 2016. https://doi.org/10.1017/etds.2014.70
  • R. Lyons, Determinantal probability measures, Publ. Math. IHÉS, 2003. https://doi.org/10.1007/s10240-003-0016-0
  • J. Borcea, P. Brändén, T. M. Liggett, Negative dependence and the geometry of polynomials, J. Amer. Math. Soc., 2009. https://doi.org/10.1090/S0894-0347-08-00618-8
  • D. Nam, A. Sly, L. Zhang, Ising model on trees and factors of IID, Comm. Math. Phys., 2022. https://doi.org/10.1007/s00220-021-04260-2
  • R. Pemantle, Choosing a spanning tree for the integer lattice uniformly, Ann. Probab., 1991. https://arxiv.org/abs/math/0404043
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A radial continuum phase transition with algebraic decayResearch Paper

Motivation: continuum phase transitions with a power-law tail

Whether identical classical particles in R3\mathbb R^3R3, interacting only through a stable radial pair potential, can undergo a phase transition is a classical existence problem of rigorous statistical mechanics, highlighted in Simon's list of problems in mathematical physics (Simon 1984). A transition shows up as a singularity of the thermodynamic free energy. Earlier rigorous continuum transitions rely on extra structure — two species, many-body terms, hard cores, or interactions defined through a fixed partition into boxes — or on a mean-field limit in which the potential itself changes. A natural requirement for a satisfactory answer is a single fixed pair potential with a bounded core and an explicit integrable power-law tail.

Timeline

  • 1965 — Motzkin and Straus's weighted-graph maximization, later used for occupation bounds (Motzkin–Straus 1965).
  • 1966 — Lebowitz and Penrose: rigorous van der Waals–Maxwell theory in the Kac limit (Lebowitz–Penrose 1966).
  • 1970 — Ruelle's superstability framework (Ruelle 1970).
  • 1971 — Ruelle: transition for a symmetric two-species continuum system (Ruelle 1971).
  • 1973 — Gerardi, Marchioro, Olivieri and Presutti extend the Lebowitz–Penrose limit to superstable references (GMOP 1973).
  • 1984 — Simon lists the problem among fifteen problems in mathematical physics.
  • 1998–1999 — Lebowitz, Mazel and Presutti: liquid–vapor transition with attractive pair and repulsive four-body interactions (PRL 1998, J. Stat. Phys. 1999).
  • 2026 — He, Jauslin, Lebowitz and Peled: transition for a finite-range box-modified Kac pair interaction (CMP 2026); Dereudre and Renaud-Chan: density coexistence for saturated many-body interactions (arXiv:2602.11078).
  • 2026 — Two OpenAI preprints (OpenAI Math Release, September 24, 2026): a radial potential with divergent core and o(r−3)o(r^{-3})o(r−3) tail with a temperature singularity, and the present A radial continuum phase transition with algebraic decay, which claims a bounded continuous potential with ∣ϕ(r)∣≤Cr−3−1/32|\phi(r)|\le Cr^{-3-1/32}∣ϕ(r)∣≤Cr−3−1/32. Neither is peer reviewed, and the theorem is not formally verified.

Setting

Particles live in R3\mathbb R^3R3; a radial pair potential is a function ϕ:[0,∞)→R\phi:[0,\infty)\to\mathbb Rϕ:[0,∞)→R (in Lean, ℝ≥0 → ℝ) applied to pair distances. For the cube ΛL=[0,L]3\Lambda_L=[0,L]^3ΛL​=[0,L]3 and N≥0N\ge0N≥0,

Uϕ(x1,…,xN)=∑i<jϕ(∣xi−xj∣),ZL,N(β)=1N!∫ΛLNe−βUϕ dx,ZL,0=1.U^\phi(x_1,\dots,x_N)=\sum_{i<j}\phi(|x_i-x_j|),\qquad Z_{L,N}(\beta)=\frac1{N!}\int_{\Lambda_L^N}e^{-\beta U^\phi}\,dx,\qquad Z_{L,0}=1 .Uϕ(x1​,…,xN​)=i<j∑​ϕ(∣xi​−xj​∣),ZL,N​(β)=N!1​∫ΛLN​​e−βUϕdx,ZL,0​=1.

The potential is stable if Uϕ≥−BNU^\phi\ge -BNUϕ≥−BN for all configurations. The canonical free energy at density ρ\rhoρ is

f(β,ρ)=−lim⁡L→∞1βL3log⁡ZL,⌊ρL3⌋(β).f(\beta,\rho)=-\lim_{L\to\infty}\frac1{\beta L^3}\log Z_{L,\lfloor\rho L^3\rfloor}(\beta).f(β,ρ)=−L→∞lim​βL31​logZL,⌊ρL3⌋​(β).

The packing constant is p=lim⁡L→∞ML/L3p=\lim_{L\to\infty}M_L/L^3p=limL→∞​ML​/L3, where MLM_LML​ is the largest number of points in [0,L]3[0,L]^3[0,L]3 at mutual distance ≥1\ge1≥1; in Lean IsPackingDensity p asserts this limit. StrictTemperatureCorner f βc asserts finite left and right derivatives at βc\beta_cβc​ with the right one strictly smaller, and non-differentiability.

Formalization targets

Milestone: the corner at the central density

At the single density ρ=5p/3\rho=5p/3ρ=5p/3: there are a bounded continuous stable ϕ\phiϕ with ∣ϕ(r)∣≤Cr−3−1/32|\phi(r)|\le Cr^{-3-1/32}∣ϕ(r)∣≤Cr−3−1/32 for r≥1r\ge1r≥1 and βc∈[7/8,9/8]\beta_c\in[7/8,9/8]βc​∈[7/8,9/8] such that f(⋅,5p/3)f(\cdot,5p/3)f(⋅,5p/3) exists for all β>0\beta>0β>0 and

f−′(βc,5p/3)>f+′(βc,5p/3).f'_-(\beta_c,5p/3)>f'_+(\beta_c,5p/3).f−′​(βc​,5p/3)>f+′​(βc​,5p/3).

Goal: a common corner on a density interval

There are a bounded continuous ϕ\phiϕ, constants B,C>0B,C>0B,C>0 with

∑i<jϕ(∣xi−xj∣)≥−BN,∣ϕ(r)∣≤C r−3−1/32 (r≥1),\sum_{i<j}\phi(|x_i-x_j|)\ge -BN,\qquad |\phi(r)|\le C\,r^{-3-1/32}\ (r\ge1),i<j∑​ϕ(∣xi​−xj​∣)≥−BN,∣ϕ(r)∣≤Cr−3−1/32 (r≥1),

an open interval I=(5p/3−η, 5p/3+η)⊂(0,∞)I=(5p/3-\eta,\,5p/3+\eta)\subset(0,\infty)I=(5p/3−η,5p/3+η)⊂(0,∞) and one βc∈[7/8,9/8]\beta_c\in[7/8,9/8]βc​∈[7/8,9/8] such that for every ρ∈I\rho\in Iρ∈I the free energy f(β,ρ)f(\beta,\rho)f(β,ρ) exists and is finite for every β>0\beta>0β>0, and

f−′(βc,ρ)>f+′(βc,ρ).f'_-(\beta_c,\rho)>f'_+(\beta_c,\rho).f−′​(βc​,ρ)>f+′​(βc​,ρ).

This is Theorem 1.1 of the source. Both statements are published on the platform with status Open.

Significance

The result itself. The theorem gives a single-species, bounded, continuous radial pair potential with an explicit integrable power-law tail whose canonical free energy has a strict temperature corner at one critical inverse temperature for a whole interval of densities. The interaction is a genuine radial function of separations with all long-range terms kept; boxes appear only in the estimates. It does not treat Lennard–Jones-type potentials and does not identify the phases as conventional fluids. The companion preprint has a divergent core but only an o(r−3)o(r^{-3})o(r−3) tail; the fixed power margin 1/321/321/32 here needs a quantitative range estimate not present there.

Formalizing it. The statement fixes the model completely (free boundary conditions on [0,L]3[0,L]^3[0,L]3, Lebesgue measure without temperature normalization, 1/N!1/N!1/N!, ⌊ρL3⌋\lfloor\rho L^3\rfloor⌊ρL3⌋ particles), so a formal proof would settle exactly which version of the problem is solved. The infrastructure (thermodynamic limits, convex duality for pressures, Kac comparisons) is reusable for the companion mission.

Difficulty

The Lebowitz–Penrose theory produces non-convex mean-field free energies only in the limit where the attraction range tends to infinity, and that limiting object is not the free energy of any fixed potential. A single potential must therefore contain infinitely many attractions at growing ranges, and the required singularity must survive all of them. Density coexistence at fixed temperature does not by itself give a temperature corner at a fixed density: two supporting slopes with equal density coordinate and different energy coordinates are needed. A pointwise power bound constrains how strong the successive attractions may be relative to their ranges, which is why a quantitative comparison with an explicit error is required.

Formalization scope

  • Positions are EuclideanSpace ℝ (Fin 3); distances enter through nndist, so the potential is a function on ℝ≥0. Boundedness, continuity, stability with B>0B>0B>0, and decay with C>0C>0C>0 are separate conjuncts.
  • ppp is existentially quantified but pinned by IsPackingDensity p (a limit), and p>0p>0p>0 is required; packingNumber is a sSup over a bounded set of naturals.
  • IsCanonicalFreeEnergy φ ρ f asserts −log⁡Z/(βL3)→f(β)-\log Z/(\beta L^3)\to f(\beta)−logZ/(βL3)→f(β) for every β>0\beta>0β>0, so fff is determined on (0,∞)(0,\infty)(0,∞); one-sided derivatives use HasDerivWithinAt on Iic βc and Ici βc.
  • The goal requires the interval to lie in (0,∞)(0,\infty)(0,∞) and βc\beta_cβc​ to be independent of ρ\rhoρ.
  • Needed infrastructure: superstability and occupation moments, existence of thermodynamic limits and their convex duality, a Motzkin–Straus bound, quantitative Kac comparison, and subdifferential persistence arguments.

Selected references

  • B. Simon, Fifteen problems in mathematical physics, in Perspectives in Mathematics, Birkhäuser, 1984, 423–454. https://math.caltech.edu/SimonPapers/R27.pdf
  • T. S. Motzkin and E. G. Straus, Maxima for graphs and a new proof of a theorem of Turán, Canad. J. Math. 17 (1965), 533–540. https://doi.org/10.4153/CJM-1965-053-6
  • J. L. Lebowitz and O. Penrose, Rigorous treatment of the van der Waals–Maxwell theory of the liquid-vapor transition, J. Math. Phys. 7 (1966), 98–113. https://doi.org/10.1063/1.1704821
  • D. Ruelle, Superstable interactions in classical statistical mechanics, Comm. Math. Phys. 18 (1970), 127–159. https://doi.org/10.1007/BF01646091
  • D. Ruelle, Existence of a phase transition in a continuous classical system, Phys. Rev. Lett. 27 (1971), 1040–1041. https://doi.org/10.1103/PhysRevLett.27.1040
  • A. Gerardi, C. Marchioro, E. Olivieri and E. Presutti, Van der Waals–Maxwell theory, Lebowitz–Penrose limit and superstable interactions, Comm. Math. Phys. 29 (1973), 219–231. https://doi.org/10.1007/BF01645248
  • J. L. Lebowitz, A. E. Mazel and E. Presutti, Liquid–vapor phase transitions for systems with finite-range interactions, J. Stat. Phys. 94 (1999), 955–1025. https://doi.org/10.1023/A:1004591218510
  • Q. He, I. Jauslin, J. Lebowitz and R. Peled, Liquid-vapor transition in a model of a continuum particle system with finite-range modified Kac pair potential, Comm. Math. Phys. 407 (2026), 240. https://doi.org/10.1007/s00220-026-05735-w
  • D. Dereudre and C. Renaud-Chan, First-order phase transition for Gibbs point processes with saturated interactions, arXiv:2602.11078 (2026). https://arxiv.org/abs/2602.11078v1
  • R. T. Rockafellar and R. J.-B. Wets, Variational Analysis, Springer, 1998. https://doi.org/10.1007/978-3-642-02431-3
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