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Functional Analysis·Captain: marwahaha

An isomorphism of the free group factorsOpen Problem

Motivation

Group von Neumann algebras encode a free group's regular representation as an operator algebra. Whether the rank remains visible in that algebra is the motivating isomorphism problem. The pinned manuscript supplies the research context.

Setting

The parameter runs over extended nonnegative reals greater than one. Integer ranks use group factors, infinity uses countably many generators, and other parameters use the encoded stabilized corner model.

Formalization target

The selected goal is OAI.FreeGroupFactorMain.Interpolation.allInterpolatedIsomorphic. Its central assertion is

L(Fr)≅L(Fs)(1<r,s≤∞).L(\mathbb F_r)\cong L(\mathbb F_s)\qquad(1<r,s\leq\infty).L(Fr​)≅L(Fs​)(1<r,s≤∞).

The theorem states that for any two extended nonnegative real parameters r and s, both strictly greater than 1 (so either may be infinite), the interpolated factors attached to r and s are isomorphic as C*-algebras with trace and topology, meaning the type of normal tracial equivalences between them is nonempty. The interpolated factor at a parameter is chosen by cases: for r = ∞ it is the group von Neumann algebra of the free group on countably many generators; for r equal to a natural number n it is the group von Neumann algebra of the free group on n generators; otherwise it is the corner pAp of the stabilization of the rank-two free group algebra, cut down by a selected star projection p whose stabilized projection trace is the real number 1/√(r−1), with the trace being the stabilized trace rescaled by the inverse of that value. Each carries its canonical trace or this rescaled trace and an ultraweak-type topology. A NormalTracialEquiv between two such models consists of a ℂ-linear star-algebra isomorphism that preserves the traces and is continuous in both directions for the given topologies.

Significance and status

The goal is a nonempty type of normal tracial equivalences between the precise interpolated models. Statements about fundamental groups are not separate attached targets. The target is currently Open on Prove2Me. The manuscript's mathematical argument and a machine-checked proof of the selected statement are separate deliverables.

Difficulty

The required equivalence must preserve the algebra, involution and trace, and be continuous in both directions for the specified topologies.

Formalization scope

The exact published goal, its hypotheses and its referenced definition blocks specify the requested formalization. The explanatory formula above is a summary; all quantifiers and additional clauses in the linked statement remain required.

The available published material supplies this goal and its necessary definitions. Additional manuscript lemmas are not represented as attached milestones.

Selected references

  • OpenAI, An isomorphism of the free group factors, preprint, 2026. Manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Selected goal source.
17 thms1 active userReviewed
🏆Completed
Differential GeometryMathematical Physics·Captain: marwahaha

Area-controlled end replacement and the Bondi Penrose inequality in the CKS classOpen Problem

Motivation

Replacing a hyperboloidal end by an asymptotically flat end can connect Bondi mass with ADM mass. The source seeks a replacement that preserves interior geometry, the energy condition, and almost all enclosing area. The source is OpenAI's September 2026 manuscript.

Setting

A CKS exterior datum describes a three-dimensional hyperboloidal end and its mass aspect. Its Bondi charge is energy-momentum (E,P)(E,P)(E,P), assumed strictly future timelike. An enclosing cut is a surface in the supplied geometric class; its area is computed from the metric.

Formalization targets

gR≥(1−ε(R))g,ε(R)→0,mADM(gR)=E2−∣P∣2+ηR,0≤ηR≤2R−1/2.g_R\ge(1-\varepsilon(R))g,\quad\varepsilon(R)\to0,\quad m_{\mathrm{ADM}}(g_R)=\sqrt{E^2-|P|^2}+\eta_R,\quad0\le\eta_R\le2R^{-1/2}.gR​≥(1−ε(R))g,ε(R)→0,mADM​(gR​)=E2−∣P∣2​+ηR​,0≤ηR​≤2R−1/2.

For a connected, Hausdorff, second countable smooth 3-manifold N with boundary and a smooth Riemannian metric g with a smooth symmetric tensor field K, such that N is orientable, the boundary is compact and nonempty, g is complete, and (g,K) satisfies the pointwise local-chart physical dominant energy condition PhysicalDEC, the following holds. Suppose d is a CKS exterior-end datum for (g,K): a coordinate end outside radius d.chart.radius in which g and K are represented by smooth perturbations, together with a smooth mass aspect function on the sphere and the tensor patches realizing it. If the Bondi charge (energy, momentum) of d's mass aspect, (E,P), is timelike, meaning |P|<E, then there exist another such datum d', a radius R₀ with d'.chart.radius<R₀ and 12≤R₀, and a function ε with ε(R)→0 as R→∞, such that d' has Bondi charge (√(E²−|P|²),0), and the minimal enclosing area of g is finite. Moreover, for every R≥R₀ one has 0≤ε(R)<1 and there are a complete smooth metric gR, a smooth symmetric tensor field kR, spatial tensor fields G and k on Euclidean 3-space, and a number η with these properties. The pair (gR,kR) agrees with (g,K) at every point outside the chart domain or with chart coordinate norm at most R, and satisfies PhysicalDEC and integrable constraints. Also gR≥(1−ε(R))g as quadratic forms. On the end, gR and kR equal the end metrics built from G and k in d'.chart. Each Cartesian component of G minus the identity satisfies the order-1 Symbol condition from CKSADM, and k vanishes where ‖x‖>2R². As r→∞ the spatial ADM energy of G tends to √(E²−|P|²)+η and the ADM momentum of (G,k) tends to 0, with 0≤η≤2R^(−1/2). Finally, gR has finite minimal enclosing area, (1−ε(R)) times the minimum enclosing area of g is at most that of gR, and for every outer domain D the cut areas of g and gR are finite and satisfy (1−ε(R))·cutArea(g,D)≤cutArea(gR,D).

The goal is OAI.CKSSourceExterior.area_controlled_end_replacement. Supporting targets are listed below; they retain their individual hypotheses and are separate statements.

  • schwarzschild equality examples.

Significance

The selected goal constructs end replacements with zero limiting ADM momentum and quantitative area comparison, including minimum enclosing area. The Schwarzschild equality examples are attached as a separate target. The manuscript presents a mathematical argument; the attached goal currently has status Open, so the requested contribution is a Lean proof of the displayed formal target.

Difficulty

Changing the end can create a cheaper enclosing surface or violate the dominant energy condition. Agreement on each retained interior region does not alone prevent either problem.

Formalization scope

The manifold is a connected Hausdorff second-countable smooth three-manifold with compact nonempty boundary, and the original complete data satisfy the physical dominant energy condition. The main target is end replacement; it does not itself state the final Bondi–Penrose inequality. The equality-example target keeps its stronger boundary and no-additional-horizon hypotheses.

The shared definitions are supplied by CKSBondiPenrose, CKSBondiPenrose_002. The target uses Lean 4.33.1 with the pinned Mathlib environment. Contributions should preserve the existing statement and develop reusable supporting lemmas in its definitions.

Selected references

  • OpenAI, Area-controlled end replacement and the Bondi Penrose inequality in the CKS class, preprint, September 2026. Manuscript.
  • OpenAI, accompanying Lean statement. Pinned source.
7 thms1 active userReviewed
Group Theory·Captain: marwahaha

Parabolic intersections in Artin groupsOpen Problem

Motivation

Standard generator subsets define natural subgroups in an Artin group. The source asks whether arbitrary conjugates of these subgroups remain in the same class after intersection. The source is OpenAI's September 2026 manuscript.

Setting

A standard parabolic subgroup is generated by a subset of the standard generators. A parabolic subgroup is any conjugate of one. There is no requirement that its Coxeter subgroup be finite.

Formalization targets

gAXg−1∩hAYh−1=kAZk−1for some Z⊆S, k∈AM.gA_Xg^{-1}\cap hA_Yh^{-1}=kA_Zk^{-1}\quad\text{for some }Z\subseteq S,\ k\in A_M.gAX​g−1∩hAY​h−1=kAZ​k−1for some Z⊆S, k∈AM​.

The theorem, which is admitted in the source with a placeholder proof, states the following for a Coxeter matrix M on a finite, linearly ordered index set S, with Artin(M) the Artin group presented on generators S by the braid relations: the word of alternating generators s,t,s,... of length M(s,t) equals the alternating word beginning with t, for each pair s,t. For any two subsets X and Y of S and any two elements g and h of Artin(M), there exist a subset Z of S and an element k of Artin(M) such that the intersection of the two conjugate subgroups g P_X g⁻¹ and h P_Y h⁻¹ equals k P_Z k⁻¹. Here P_T is the standard parabolic subgroup generated by the images of the generators in T, and conjugation by g is the subgroup whose members x satisfy g⁻¹xg in P. There is no spherical-type or other restriction on M, so the intersection of two conjugates of standard parabolic subgroups is itself a conjugate of a standard parabolic subgroup.

The goal is OAI.HarmonicArtin.ParabolicIntersections.unconditional_parabolic_intersections. Supporting targets are listed below; they retain their individual hypotheses and are separate statements.

  • unconditional arbitrary intersections.
  • unconditional nonclique dynamics.
  • unconditional parabolic closure.

Significance

The selected goal is closure under binary intersection. Attached results also give arbitrary intersections controlled by at most the rank many members, unique parabolic closure, and dynamics for irreducible non-clique groups. The manuscript presents a mathematical argument; the attached goal currently has status Open, so the requested contribution is a Lean proof of the displayed formal target.

Difficulty

Conjugation obscures the standard generating subsets, so intersecting XXX and YYY alone does not describe the subgroup intersection. The target must produce both a new subset and a new conjugating element.

Formalization scope

The generating type is finite and linearly ordered. The Coxeter-matrix convention encodes an infinite label by zero. The dynamics milestone has additional irreducibility and non-clique assumptions; those are not imposed on the intersection theorem.

The shared definitions are supplied by ArtinParabolicIntersections. The target uses Lean 4.33.1 with the pinned Mathlib environment. Contributions should preserve the existing statement and develop reusable supporting lemmas in its definitions.

Selected references

  • OpenAI, Parabolic intersections in Artin groups, preprint, September 2026. Manuscript.
  • OpenAI, accompanying Lean statement. Pinned source.
5 thms1 active userReviewed
Algebraic TopologyGroup Theory·Captain: marwahaha

Harmonic heights and the Artin K(pi,1) conjectureOpen Problem

Motivation

A classifying-space problem asks whether a natural complex captures a group without additional higher homotopy. The source addresses the finite-rank Artin problem through the lifted spherical-cell complex. The source is OpenAI's September 2026 manuscript.

Setting

An Artin group is presented by alternating braid relations from a Coxeter matrix. A subset of generators is spherical when its associated Coxeter parabolic subgroup is finite. Lifted cells pair a group element with such a subset, with incidence determined by reduced coset words.

Formalization targets

ContractibleSpace⁡(SalvettiCover⁡(M))for every Coxeter matrix M on finite S.\operatorname{ContractibleSpace}(\operatorname{SalvettiCover}(M))\qquad\text{for every Coxeter matrix }M\text{ on finite }S.ContractibleSpace(SalvettiCover(M))for every Coxeter matrix M on finite S.

For every Coxeter matrix M indexed by a finite type S of standard generators, the topological space SalvettiCover(M) is contractible. The Artin group Artin(M) is the free group on S modulo the braid relators, one for each ordered pair (s,t): the alternating word s t s t ... of length M(s,t) times the inverse of the alternating word t s t s ... of the same length. A subset T of S is spherical when the standard parabolic subgroup of the Coxeter group generated by the simple reflections in T is finite. A lifted cell is a pair (a,T) of an Artin group element and a spherical subset. One lifted cell (a,T) is a face of (b,U) when T is contained in U and there is a word w in letters of U that is reduced in the Coxeter group (its Coxeter length equals the word length), is of minimal length in its coset with respect to the parabolic subgroup generated by T, and satisfies a = b times the image of w in the Artin group. The preorder on lifted cells is the reflexive transitive closure of this face relation, and SalvettiCover(M) is the geometric realization, as a topological space, of the nerve of that preorder viewed as a category.

The goal is OAI.HarmonicArtin.salvetti_cover_contractible.

Significance

The goal makes the full topological realization contractible, rather than only asserting vanishing of a selected homotopy group. It supplies a precise target for the covering-space component of the source. The manuscript presents a mathematical argument; the attached goal currently has status Open, so the requested contribution is a Lean proof of the displayed formal target.

Difficulty

Local spherical pieces need not automatically fit into a globally contractible realization. The face relation and its transitive closure must retain the interaction between Artin words and Coxeter length.

Formalization scope

SalvettiCover is the geometric realization of the nerve of the lifted-cell preorder. The generator type is finite but need not be equipped with a chosen enumeration. The mission preserves this published model instead of substituting a different complex.

The shared definitions are supplied by HarmonicArtin. The target uses Lean 4.33.1 with the pinned Mathlib environment. Contributions should preserve the existing statement and develop reusable supporting lemmas in its definitions.

Selected references

  • OpenAI, Harmonic heights and the Artin K(pi,1) conjecture, preprint, September 2026. Manuscript.
  • OpenAI, accompanying Lean statement. Pinned source.
2 thms1 active userReviewed
Mathematical PhysicsProbabilityRandom Matrix Theory·Captain: marwahaha

All-temperature pressure for orthogonally invariant Ising spin glassesOpen Problem

Motivation

An Ising spin system probes a quadratic form only on cube vertices. The source asks whether random orthogonal eigenvectors allow its pressure to be determined by the limiting eigenvalue distribution at every positive temperature. The source is OpenAI's September 2026 manuscript.

Setting

The pressure is the normalized logarithm of the average Boltzmann weight under the uniform spin prior. Eigenvectors are Haar orthogonal, and the deterministic empirical eigenvalue laws converge weakly to a compactly supported probability law. The variational formula uses an edge-extended spectral transform.

Formalization targets

EPN(β)→Vβ,PN(β)→Vβ almost surely(β>0).\mathbb E P_N(\beta)\to\mathcal V_\beta,\qquad P_N(\beta)\to\mathcal V_\beta\ \text{almost surely}\qquad(\beta>0).EPN​(β)→Vβ​,PN​(β)→Vβ​ almost surely(β>0).

For a spin system on N Ising spins σ ∈ {−1,1}^N, the rotated pressure for eigenvalues λ₁,…,λ_N, an orthogonal rotation U and a field c is (1/N) times the log of the average over all 2^N spin configurations of exp(H(σ)), where H(σ) = (1/2)∑ᵢ λᵢ (Uσ)ᵢ² + ∑ᵢ cᵢσᵢ. The theorem states that, for any probability space (Ω,P), random N×N orthogonal matrices U_N that are measurable and whose laws are right-invariant under multiplication (Haar-type), and any deterministic eigenvalue arrays (eig_N,i), the following holds under these assumptions: ν is a probability measure on ℝ whose support lies in [a,b] and contains both a and b; for every ε>0, eventually in N all eigenvalues lie in [a−ε,b+ε]; the empirical spectral laws (1/N)∑ᵢ δ_{eig_N,i} converge weakly to ν; and the inverse temperature β is strictly positive. Then, with eigenvalues β·eig_N,i, rotation U_N(ω)⁻¹ and zero external field, the expected rotated pressure ∫ pressure dP converges as N → ∞, and the pressure itself converges for P-almost every ω, in both cases to the real part of the variational functional of the measureR transform of the β-rescaled law of ν, evaluated at the edge β·b.

The goal is OAI.InvariantIsing.positive_temperature_pressure_unconditional. Supporting targets are listed below; they retain their individual hypotheses and are separate statements.

  • gaussianPattern ground limit unconditional.
  • gaussianPattern norm limits unconditional.
  • gaussianPattern pressure limit unconditional.
  • ground state limit unconditional.
  • limiting pressure of extreme limits unconditional.
  • limiting wasserstein field pressure of extreme limits unconditional.
  • random field pressure tendsto ae unconditional.
  • random pressure limit unconditional.
  • random pressure tendsto ae unconditional.
  • random pressure tendsto in measure unconditional.

Significance

The selected goal is the all-positive-temperature zero-field pressure theorem. The attached results also cover field laws, random spectra, Gaussian-pattern pressure and ground energy, and related norm limits under their stated assumptions. The manuscript presents a mathematical argument; the attached goal currently has status Open, so the requested contribution is a Lean proof of the displayed formal target.

Difficulty

Weak spectral convergence does not control rare extreme eigenvalues. The explicit no-outlier condition is essential to the selected statement’s comparison with the limiting spectral functional.

Formalization scope

The spin prior is uniform probability, and temperature is implemented by multiplying eigenvalues by β\betaβ. The no-outlier condition holds eventually within every enlargement of the limiting support interval. Almost-sure convergence and expectation convergence are both conclusions; other attached variants keep their own uniform-integrability and field hypotheses.

The shared definitions are supplied by InvariantIsing. The target uses Lean 4.33.1 with the pinned Mathlib environment. Contributions should preserve the existing statement and develop reusable supporting lemmas in its definitions.

Selected references

  • OpenAI, All-temperature pressure for orthogonally invariant Ising spin glasses, preprint, September 2026. Manuscript.
  • OpenAI, accompanying Lean statement. Pinned source.
12 thms1 active userReviewed
Linear algebraTheoretical Computer Science·Captain: marwahaha

Complex Matrix Multiplication Below 2.258 and Rectangular BoundsOpen Problem

Motivation

Rectangular matrix products arise when the two outer dimensions are much larger than the inner dimension. The dual exponent records the largest inner growth rate compatible with arithmetic exponent two. The source manuscript presents the surrounding research claim.

Setting

For k∈[0,1], ω_ℂ(1,k,1) is the infimum of exponents for multiplying an n×⌈nᵏ⌉ matrix by a ⌈nᵏ⌉×n matrix over ℂ. The dual exponent α is the supremum of k for which this infimum equals two.

Formalization target

Prove the strict bound

αC>93200=0.465.\alpha_{\mathbb C}>\frac{93}{200}=0.465.αC​>20093​=0.465.

The additional published rectangular endpoint asserts ω_ℂ(1,709/1000,1)<523/250=2.092.

The selected formal target is OAI.MatrixMultiplication.complex_alpha_gt_93_div_200.

Significance and status

Strictness is part of both statements. The supplied goal concerns the complex dual exponent; the manuscript title’s square bound and broader field claims are not attached formal targets. The published target is currently Open; the manuscript's argument and a checked Lean proof are separate deliverables.

Difficulty

An algorithm for one size does not establish an asymptotic exponent. The definition quantifies over every positive slack and all positive sizes with one bound constant for each slack.

Formalization scope

Algorithms are division-free arithmetic programs with constants and input gates of cost zero and addition, subtraction and multiplication of cost one. Correctness is quantified over all input matrices. The dual exponent is a real supremum of exact exponent-two shapes, using the prescribed inner-dimension ceiling.

Selected references

  • OpenAI, Complex Matrix Multiplication Below 2.258 and Rectangular Bounds, preprint, 2026. Pinned manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Goal source.
3 thms1 active userReviewed
AnalysisHarmonic Analysis·Captain: marwahaha

Riesz transforms and uniform rectifiability in higher codimensionOpen Problem

Motivation

Singular integral estimates can detect geometric regularity in a measure whose support has no given parametrization. The mission turns a uniform Riesz-transform bound into uniform pieces of Lipschitz images. The source manuscript presents the surrounding research claim.

Setting

Let μ be a regular measure in ℝᵈ, with d≥4 and 2≤n≤d−2. Ahlfors–David regularity means that μ(B(x,r)) is comparable to rⁿ on its support at admissible radii. Hard-truncated Riesz transforms use the kernel (x−y)/|x−y|^(n+1), excluding distances at most ε.

Formalization target

With fixed dimension and bounds C_AD,C_R, prove that there exist θ>0 and M≥0 such that every eligible μ satisfies

μ(B(x,r)∩range⁡g)≥θrn\mu(B(x,r)\cap\operatorname{range}g)\ge\theta r^nμ(B(x,r)∩rangeg)≥θrn

for some M-Lipschitz map g from the open n-dimensional radius-r ball, at every support point and admissible radius.

The selected formal target is OAI.RieszRectifiability.quantitative_higher_codimension_riesz_rectifiability.

Significance and status

The constants θ and M are uniform across the entire class of measures with the prescribed analytic bounds. This is the exact quantitative ball-image conclusion. The published target is currently Open; the manuscript's argument and a checked Lean proof are separate deliverables.

Difficulty

Individual rectifiable pieces with constants depending on μ do not yield this quantifier order. The Riesz bound ranges over every positive hard truncation and every scalar L² input.

Formalization scope

Ambient space is EuclideanSpace ℝ (Fin d). Radii are positive and bounded by the extended support diameter. The hypothesis uses μ.Regular, nonnegative Riesz constants, MemLp and eLpNorm; the conclusion uses the actual measure of the intersection with a Lipschitz image. No endpoint codimensions are included.

Selected references

  • OpenAI, Riesz transforms and uniform rectifiability in higher codimension, preprint, 2026. Pinned manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Goal source.
2 thms1 active userReviewed
Dynamical SystemsNumber Theory·Captain: marwahaha

Equidistribution of Prime-Degree Torus Packets with Arbitrary Local TypeOpen Problem

Motivation

Closed diagonal orbits encode lattices in totally real number fields. Their distribution tests whether arithmetic families fill the space of unimodular lattices as their discriminants grow. The source manuscript presents the surrounding research claim.

Setting

For a fixed prime n=d+1 ≥ 5, Xₙ is the quotient of SLₙ(ℝ) by its integral lattice subgroup. A packet consists of normalized full lattices of one local homothety type, including the specified sign translates. Its measure averages orbital probabilities with orbit-volume weights.

Formalization target

For any sequence of totally real degree-n fields and full lattices whose multiplier discriminants tend to infinity, prove

∃ν,ν is Haar probability,μi⇒ν,\exists\nu,\quad\nu\text{ is Haar probability},\qquad\mu_i\Rightarrow\nu,∃ν,ν is Haar probability,μi​⇒ν,

and tightness of the entire family {μᵢ}. Weak convergence uses every bounded continuous real test function and includes the probability normalization of every μᵢ.

The selected formal target is OAI.DukePrimeDegree.prime_degree_packet_measure_equidistribution_unconditional.

Significance and status

The conclusion addresses arbitrary local types and includes absence of escape of mass. The fixed-Haar formulation is also available as a supporting target. The published target is currently Open; the manuscript's argument and a checked Lean proof are separate deliverables.

Difficulty

Convergence on compactly supported tests alone would not establish the requested probability convergence on a noncompact quotient. The packet normalization and tightness must be justified uniformly through the discriminant limit.

Formalization scope

The source definitions use completed lattices over ℤₚ, diagonal-flow period covolumes and volume-weighted sums over distinct orbits. The theorem fixes prime degree at least five and allows both fields and local types to vary. Both published formulations and their shared definitions are referenced.

Selected references

  • OpenAI, Equidistribution of Prime-Degree Torus Packets with Arbitrary Local Type, preprint, 2026. Pinned manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Goal source.
3 thms1 active userReviewed
AnalysisNumber Theory·Captain: marwahaha

Uniform exclusion of Landau–Siegel zerosOpen Problem

Motivation

Real zeros of Dirichlet L-functions close to one obstruct uniform estimates for primes in arithmetic progressions. A conductor-independent logarithmic gap is the precise quantitative issue addressed here. The source manuscript presents the surrounding research claim.

Setting

A Dirichlet character χ modulo an integer q is primitive, nonprincipal, and real-valued when its complex values have zero imaginary part. Its analytically continued L-function is denoted L(s,χ). The zero β is real and lies strictly between zero and one; log is the natural logarithm.

Formalization target

Prove that one positive real constant works for every allowed modulus, character and zero:

∃c>0  ∀q≥3,L(β,χ)=0, 0<β<1⟹c≤(1−β)log⁡q.\exists c>0\;\forall q\ge3,\quad L(\beta,\chi)=0,\ 0<\beta<1\Longrightarrow c\le(1-\beta)\log q.∃c>0∀q≥3,L(β,χ)=0, 0<β<1⟹c≤(1−β)logq.

The constant must be independent of q and χ.

The selected formal target is OAI.SiegelZeros.WeightedTorusJets.exists_absolute_real_zero_gap.

Significance and status

This is the uniform zero-gap conclusion itself, not a statement for a bounded family of conductors. The source dated October 1, 2026 states this as its principal result. The published target is currently Open; the manuscript's argument and a checked Lean proof are separate deliverables.

Difficulty

A bound whose constant varies with the character cannot establish this quantifier order. The arithmetic and analytic estimates must retain one positive constant across every conductor and every real primitive character.

Formalization scope

The goal uses Mathlib’s actual Dirichlet characters and L-functions over ℂ, with q : ℕ, a nonzero instance and q ≥ 3. Both available published formulations are referenced. The second formulation merely groups the zero hypotheses differently and is not presented as an independent milestone. The manuscript’s interpolation and determinant lemmas have no supplied published theorem IDs and are not attached as milestones.

Selected references

  • OpenAI, Uniform exclusion of Landau–Siegel zeros, preprint, 2026. Pinned manuscript.
  • OpenAI, accompanying formal statements, commit adc7f1241b42. Goal source.
2 thms1 active userReviewed
Differential GeometryOptimal TransportPartial Differential Equations·Captain: wurtle

Uniform Bi-Holder Transport from Weak MTWResearch Paper

Motivation: when are optimal transport maps continuous?

Given two probability densities ρ0,ρ1\rho_0,\rho_1ρ0​,ρ1​ on a compact Riemannian manifold, optimal transport with the quadratic cost c(x,y)=d(x,y)2/2c(x,y)=d(x,y)^2/2c(x,y)=d(x,y)2/2 seeks the map TTT pushing ρ0 vol\rho_0\,\mathrm{vol}ρ0​vol to ρ1 vol\rho_1\,\mathrm{vol}ρ1​vol at least total cost. McCann proved that such a map exists and is unique almost everywhere (McCann 2001). Whether it is continuous when the densities are merely bounded above and below depends on the geometry of the cost: the Ma–Trudinger–Wang (MTW) condition, a sign condition on a fourth derivative of ccc, is the decisive curvature hypothesis, and its weak form is known to be necessary. The question is whether weak MTW is also sufficient on every compact manifold, with estimates that do not degenerate as transport graphs approach conjugate points.

Background

  • 1992 — Caffarelli's regularity theory for maps with convex potentials, based on sections and contact-volume comparison (Caffarelli 1992).
  • 2001 — McCann's polar factorization on Riemannian manifolds (McCann 2001).
  • 2005 — Ma, Trudinger and Wang introduce the curvature condition (MTW 2005).
  • 2009 — Loeper links MTW to supporting cost functions and shows its necessity for continuity (Loeper 2009).
  • 2010 — Loeper and Villani: uniform estimates under strict MTW and nonfocality (Loeper–Villani 2010).
  • 2011 — Figalli, Rifford and Villani: transport continuity implies convex injectivity domains and weak MTW; on surfaces continuity is equivalent to their conjunction, and the equivalence with weak MTW alone is posed (FRV 2011).
  • 2013 — Figalli, Kim and McCann: Hölder continuity and injectivity of optimal maps under weak MTW with cost-convexity hypotheses (FKM 2013), and products of round spheres (FKM 2013).
  • 2015 — Figalli, Gallouët and Rifford: weak MTW implies convex injectivity domains on nonfocal manifolds (FGR 2015).
  • 2019 — Lebedeva, Petrunin and Zolotov list the convexity and continuity questions (LPZ 2019, Questions 8.6–8.7).
  • 2026 — Two OpenAI preprints (OpenAI Math Release, September 25, 2026): a companion proving that weak MTW forces convex injectivity domains and global support, and Uniform Bi-Hölder Transport from Weak MTW (this mission), claiming uniform bi-Hölder optimal maps for every density-bounded class. Neither is peer reviewed, and the theorem is not formally verified.

Setting

Let (M,g)(M,g)(M,g) be a smooth, connected, compact Riemannian manifold without boundary, of dimension n≥2n\ge2n≥2, with distance ddd and volume vol\mathrm{vol}vol. Put c(x,y)=12d(x,y)2c(x,y)=\tfrac12 d(x,y)^2c(x,y)=21​d(x,y)2 and let

I(x)={p∈TxM: d(x,exp⁡x(ap))=a∣p∣ for some a>1}I(x)=\{p\in T_xM:\ d(x,\exp_x(ap))=a|p| \text{ for some } a>1\}I(x)={p∈Tx​M: d(x,expx​(ap))=a∣p∣ for some a>1}

be the open injectivity domain. Weak MTW: for every p∈I(x)p\in I(x)p∈I(x) and ξ⊥η\xi\perp\etaξ⊥η in TxMT_xMTx​M,

−32 ∂4∂s2∂t2 c(exp⁡x(tξ),exp⁡x(p+sη))∣s=t=0 ≥0.-\frac32\,\frac{\partial^4}{\partial s^2\partial t^2}\,c\big(\exp_x(t\xi),\exp_x(p+s\eta)\big)\Big|_{s=t=0}\ \ge 0 .−23​∂s2∂t2∂4​c(expx​(tξ),expx​(p+sη))​s=t=0​ ≥0.

For 0<λ≤Λ0<\lambda\le\Lambda0<λ≤Λ, the density class consists of measurable ρ\rhoρ with ∫ρ dvol=1\int\rho\,d\mathrm{vol}=1∫ρdvol=1 and λ≤ρ≤Λ\lambda\le\rho\le\Lambdaλ≤ρ≤Λ almost everywhere. An optimal map from ρ0\rho_0ρ0​ to ρ1\rho_1ρ1​ is a measurable TTT with T#(ρ0vol)=ρ1volT_\#(\rho_0\mathrm{vol})=\rho_1\mathrm{vol}T#​(ρ0​vol)=ρ1​vol minimizing ∫c(x,T(x))ρ0(x) dvol\int c(x,T(x))\rho_0(x)\,d\mathrm{vol}∫c(x,T(x))ρ0​(x)dvol among such maps.

In Lean, metricVolume n is the nnn-dimensional Hausdorff measure normalized to agree with Lebesgue measure on Rn\mathbb R^nRn (which equals Riemannian volume), riemannianExp is defined from complete geodesics, and WeakMTW uses iteratedDeriv 2 twice.

Formalization targets

Goal: uniform bi-Hölder optimal maps

Fix (M,g)(M,g)(M,g) satisfying weak MTW and 0<λ≤Λ0<\lambda\le\Lambda0<λ≤Λ with a nonempty density class. There are α∈(0,1]\alpha\in(0,1]α∈(0,1] and C<∞C<\inftyC<∞, depending only on (M,g),λ,Λ(M,g),\lambda,\Lambda(M,g),λ,Λ, such that for all densities ρ0,ρ1\rho_0,\rho_1ρ0​,ρ1​ in the class, the almost-everywhere unique optimal map has a homeomorphic representative T~\widetilde TT with

d(T~x,T~x′)≤C d(x,x′)α,d(T~−1y,T~−1y′)≤C d(y,y′)α.d(\widetilde T x,\widetilde T x')\le C\,d(x,x')^\alpha,\qquad d(\widetilde T^{-1}y,\widetilde T^{-1}y')\le C\,d(y,y')^\alpha .d(Tx,Tx′)≤Cd(x,x′)α,d(T−1y,T−1y′)≤Cd(y,y′)α.

This is Theorem 1.1 of the source. The goal is published on the platform with status Open.

Significance

The result itself. The constants are common to the whole density class; they do not depend on the densities or their derivatives, and the theorem allows conjugate cut points without nonfocality, strict MTW, or cut avoidance. Combined with the necessity result of Figalli–Rifford–Villani it gives the equivalence of weak MTW with transport continuity for bounded densities on compact manifolds, with uniform estimates in the forward direction. No explicit exponent is obtained (the positive exponent comes from a contradiction argument).

Formalizing it. The Lean statement packages existence, almost-everywhere uniqueness, homeomorphic regularity and uniform bi-Hölder bounds in one assertion over all density pairs, making precise what "class-uniform" means. A proof requires the companion geometric results (convex injectivity domains, global support), McCann's theorem, and Caffarelli-type section estimates on manifolds — none currently in Mathlib.

Difficulty

Hölder estimates obtained after localizing near a smooth part of the cost give a density-dependent exponent and localization scale; they do not give a common scale or constant for a family whose transport graphs approach conjugate pairs, where the cost stops being smooth. Weak MTW constrains the cost only where it is smooth and only for orthogonal directions. Earlier uniform results needed strict MTW and nonfocality, or special geometry (products of spheres).

Formalization scope

  • Volume is the normalized Hausdorff measure euclideanVolumeFactor n • μH[n]; densities are AEMeasurable, integrable, of mass one, and between lam and cap almost everywhere; nonemptiness of the class is a hypothesis, as in the source.
  • IsOptimalMap requires measurability, the pushforward identity for withDensity measures, and minimality among all measurable maps with that pushforward; uniqueness is almost everywhere for ρ0 vol\rho_0\,\mathrm{vol}ρ0​vol.
  • The conclusion requires one α∈(0,1]\alpha\in(0,1]α∈(0,1] and one C≥0C\ge0C≥0 before quantifying over densities, and a homeomorphism M ≃ₜ M with the same exponent and constant for TTT and T−1T^{-1}T−1; a trivializing choice is excluded because TTT must itself be optimal.
  • Weak MTW is a hypothesis only at p∈I(x)p\in I(x)p∈I(x) and orthogonal ξ,η\xi,\etaξ,η.
  • Needed infrastructure: Riemannian geodesics and cut locus, semiconvex potentials, Kantorovich duality and McCann's theorem, Hausdorff measure versus Riemannian volume, Caffarelli-type sections.

Selected references

  • L. A. Caffarelli, The regularity of mappings with a convex potential, J. Amer. Math. Soc. 5 (1992), 99–104. https://doi.org/10.1090/S0894-0347-1992-1124980-8
  • R. J. McCann, Polar factorization of maps on Riemannian manifolds, Geom. Funct. Anal. 11 (2001), 589–608. https://doi.org/10.1007/PL00001679
  • X.-N. Ma, N. S. Trudinger and X.-J. Wang, Regularity of potential functions of the optimal transportation problem, Arch. Ration. Mech. Anal. 177 (2005), 151–183. https://doi.org/10.1007/s00205-005-0362-9
  • G. Loeper, On the regularity of solutions of optimal transportation problems, Acta Math. 202 (2009), 241–283. https://doi.org/10.1007/s11511-009-0037-8
  • G. Loeper and C. Villani, Regularity of optimal transport in curved geometry: the nonfocal case, Duke Math. J. 151 (2010), 431–485. https://doi.org/10.1215/00127094-2010-003
  • A. Figalli, L. Rifford and C. Villani, Necessary and sufficient conditions for continuity of optimal transport maps on Riemannian manifolds, Tohoku Math. J. 63 (2011), 855–876. https://doi.org/10.2748/tmj/1325886291
  • A. Figalli, Y.-H. Kim and R. J. McCann, Hölder continuity and injectivity of optimal maps, Arch. Ration. Mech. Anal. 209 (2013), 747–795. https://doi.org/10.1007/s00205-013-0629-5
  • A. Figalli, Y.-H. Kim and R. J. McCann, Regularity of optimal transport maps on multiple products of spheres, J. Eur. Math. Soc. 15 (2013), 1131–1166. https://doi.org/10.4171/JEMS/388
  • A. Figalli, T. O. Gallouët and L. Rifford, On the convexity of injectivity domains on nonfocal manifolds, SIAM J. Math. Anal. 47 (2015), 969–1000. https://doi.org/10.1137/140961821
  • N. Lebedeva, A. Petrunin and V. Zolotov, Bipolar comparison, Geom. Funct. Anal. 29 (2019), 258–282. https://doi.org/10.1007/s00039-019-00481-9
  • OpenAI, Global Support and Convex Injectivity Domains under Weak MTW, OpenAI Math Release preprint, September 25, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Global-Support-and-Convex-Injectivity-Domains-under-Weak-MTW-September-25-2026/paper.pdf
  • OpenAI, Uniform Bi-Hölder Transport from Weak MTW, OpenAI Math Release preprint, September 25, 2026 (Theorem 1.1, p. 2). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Uniform-Bi-Holder-Transport-from-Weak-MTW-September-25-2026/paper.pdf
2 thms1 active userReviewed
Differential GeometrySymplectic Geometry·Captain: wurtle

Symplectic Ball Packings in Higher DimensionsResearch Paper

Motivation

A symplectic embedding preserves the standard symplectic form ω0=∑jdxj∧dyj\omega_0=\sum_j dx_j\wedge dy_jω0​=∑j​dxj​∧dyj​ on Cn\mathbb C^nCn, and in particular preserves volume. Gromov's nonsqueezing and two-ball theorems showed that symplectic embeddings obey constraints invisible to volume (Gromov 1985). The ball-packing problem asks exactly when finitely many balls can be embedded disjointly and symplectically into a given ball, and so measures how far symplectic rigidity goes beyond volume.

In real dimension four the answer involves infinitely many obstructions coming from pseudoholomorphic curves and algebraic geometry (McDuff–Polterovich 1994; Biran 1997). In higher dimensions Siegel and Yao conjectured that only two obstructions survive: volume and Gromov's two-ball obstruction (Conjecture A of Siegel–Yao 2025).

This mission asks for a machine-checked proof of Theorem 1.1 of an OpenAI preprint dated September 23, 2026 (source), which claims Conjecture A in every real dimension 2n≥62n\ge62n≥6. The preprint has not been peer reviewed and its claim has not been independently verified; on the platform the Lean goal is open.

Background

  • 1985 — Gromov introduces pseudoholomorphic curves and proves the two-ball obstruction R1+R2≤RR_1+R_2\le RR1​+R2​≤R (Invent. Math. 1985).
  • 1994 — McDuff and Polterovich connect packing to blowups and algebraic geometry (Invent. Math. 1994).
  • 1995 — Traynor gives explicit packing constructions (J. Differential Geom. 1995).
  • 1997–2001 — Biran proves packing stability in dimension four (GAFA 1997; GAFA 2001).
  • 2005 — Schlenk's monograph develops folding and planar constructions (de Gruyter 2005).
  • 2011–2016 — Buse and Hind extend equal-ball stability to higher dimensions (Geom. Topol. 2011; Compos. Math. 2013); Buse, Hind and Opshtein prove unequal-ball stability in dimension four for small capacities (Trans. AMS 2016).
  • 2025 — Siegel and Yao formulate Conjecture A for higher-dimensional packings.
  • 2026 — The OpenAI preprint claims Conjecture A for all n≥3n\ge3n≥3 (Theorem 1.1, p. 2).

Setting

For R>0R>0R>0 write

B2n(R)={z∈Cn: π∑j=1n∣zj∣2≤R},B^{2n}(R)=\Bigl\{z\in\mathbb C^n:\ \pi\sum_{j=1}^n|z_j|^2\le R\Bigr\},B2n(R)={z∈Cn: πj=1∑n​∣zj​∣2≤R},

so RRR is the capacity, the Euclidean radius is R/π\sqrt{R/\pi}R/π​, and vol B2n(R)=Rn/n!\mathrm{vol}\,B^{2n}(R)=R^n/n!volB2n(R)=Rn/n!. An embedding of a closed ball into the open ball int⁡B2n(R)\operatorname{int}B^{2n}(R)intB2n(R) means a smooth map defined on an open neighbourhood of the closed ball, which is a topological embedding there, pulls ω0\omega_0ω0​ back to ω0\omega_0ω0​, and sends the closed ball into the open target. A packing of B2n(R1),…,B2n(Rk)B^{2n}(R_1),\dots,B^{2n}(R_k)B2n(R1​),…,B2n(Rk​) is a family of such embeddings whose images of the closed balls are pairwise disjoint.

Formalization targets

Milestone: necessity in Theorem 1.1 (p. 4)

If n≥3n\ge3n≥3, k≥1k\ge1k≥1, R,Ri>0R,R_i>0R,Ri​>0 and a packing exists, then

∑i=1kRin<RnandRi+Rj<R  (i≠j).\sum_{i=1}^kR_i^n<R^n\qquad\text{and}\qquad R_i+R_j<R\ \ (i\ne j).i=1∑k​Rin​<RnandRi​+Rj​<R  (i=j).

The images lie in some int⁡B2n(σ)\operatorname{int}B^{2n}(\sigma)intB2n(σ) with σ<R\sigma<Rσ<R by compactness, so the volume bound and Gromov's two-ball obstruction give the strict inequalities.

Goal: Theorem 1.1 (p. 2)

For integers n≥3n\ge3n≥3, k≥1k\ge1k≥1 and positive reals R,R1,…,RkR,R_1,\dots,R_kR,R1​,…,Rk​, a symplectic embedding ⨆iB2n(Ri)↪int⁡B2n(R)\bigsqcup_iB^{2n}(R_i)\hookrightarrow\operatorname{int}B^{2n}(R)⨆i​B2n(Ri​)↪intB2n(R) exists if and only if the two inequalities above hold.

Significance

The result itself. In every real dimension at least six, the volume and two-ball obstructions are the only obstructions to packing balls of arbitrary capacities into a ball. This contrasts with dimension four, where infinitely many further obstructions are essential, and it goes beyond packing-stability results, which concern many small balls. The theorem settles Siegel and Yao's Conjecture A.

Formalizing it. The necessity direction needs Gromov's two-ball theorem, which rests on pseudoholomorphic curve theory and has no formalization. The sufficiency direction uses Hamiltonian flows, Moser isotopies, toric domains, Kähler forms on projective degenerations and normal-cone transfer. A formal proof would require substantial new symplectic and algebro-geometric infrastructure, all of it reusable.

Difficulty

Sufficiency is the hard direction. The volume inequality is an integral condition, but a packing needs pointwise room; in the preprint's toric models over a surface with a handle, the unused-area profile PPP has positive integral but need not be positive at every moment, and a Hamiltonian comparison theorem (Lemma 2.1, p. 5) is needed to rearrange it into disjoint ball layers (Lemma 3.3, p. 12). The models must then be transferred symplectically into the target ball using Kähler degenerations; three geometric cases arise (all capacities below R/2R/2R/2, Proposition 5.2, p. 25; one large capacity in dimension ≥8\ge8≥8, Proposition 5.3, p. 26; one large capacity in dimension six, Proposition 6.7, p. 39). For necessity the obvious volume argument gives only non-strict inequalities; strictness comes from compactness of the images, and the pairwise bound is genuinely symplectic.

Formalization scope

  • Phase space is Fin n → ℂ with capacity π∑j∣zj∣2\pi\sum_j|z_j|^2π∑j​∣zj​∣2 and ω0(u,v)=∑j(Re uj Im vj−Im uj Re vj)\omega_0(u,v)=\sum_j(\mathrm{Re}\,u_j\,\mathrm{Im}\,v_j-\mathrm{Im}\,u_j\,\mathrm{Re}\,v_j)ω0​(u,v)=∑j​(Reuj​Imvj​−Imuj​Revj​).
  • SymplecticOn U f: UUU open, fff is C∞C^\inftyC∞ on UUU, f∣Uf|_Uf∣U​ is a topological embedding, and fderiv preserves ω0\omega_0ω0​ at every point of UUU.
  • HasPacking n k R r: each closed ball B2n(ri)B^{2n}(r_i)B2n(ri​) lies in an open UiU_iUi​ on which fif_ifi​ is symplectic, fif_ifi​ maps the closed ball into the open ball of capacity RRR, and images of distinct closed balls are disjoint.
  • PackingInequalities uses strict inequalities and quantifies over ordered pairs i≠ji\ne ji=j; the goal assumes n≥3n\ge3n≥3, k≥1k\ge1k≥1, R>0R>0R>0, ri>0r_i>0ri​>0, matching the source exactly.
  • Neither side is vacuous: for one ball the pairwise condition is empty and the statement reduces to r1<Rr_1<Rr1​<R.

Selected references

  • OpenAI, Symplectic Ball Packings in Higher Dimensions, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Symplectic-Ball-Packings-in-Higher-Dimensions-September-23-2026/paper.pdf
  • K. Siegel, Y. Yao, On symplectic packing problems in higher dimensions, Math. Ann. 392 (2025), 5361–5392. https://doi.org/10.1007/s00208-025-03221-7
  • M. Gromov, Pseudo holomorphic curves in symplectic manifolds, Invent. Math. 82 (1985), 307–347. https://doi.org/10.1007/BF01388806
  • D. McDuff, L. Polterovich, Symplectic packings and algebraic geometry, Invent. Math. 115 (1994), 405–429. https://doi.org/10.1007/BF01231766
  • P. Biran, Symplectic packing in dimension 4, Geom. Funct. Anal. 7 (1997), 420–437. https://doi.org/10.1007/s000390050014
  • O. Buse, R. Hind, Ellipsoid embeddings and symplectic packing stability, Compos. Math. 149 (2013), 889–902. https://doi.org/10.1112/S0010437X12000826
  • O. Buse, R. Hind, E. Opshtein, Packing stability for symplectic 4-manifolds, Trans. Amer. Math. Soc. 368 (2016), 8209–8222. https://doi.org/10.1090/tran/6802
  • L. Traynor, Symplectic packing constructions, J. Differential Geom. 41 (1995), 735–751. https://doi.org/10.4310/jdg/1214456483
  • F. Schlenk, Embedding Problems in Symplectic Geometry, de Gruyter (2005). https://doi.org/10.1515/9783110199697
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Differential GeometryPartial Differential Equations·Captain: wurtle

A Smooth Metric with No Local Isometric Immersion into Three-SpaceResearch Paper

Motivation: can every surface be realized locally in R3\mathbb R^3R3?

A Riemannian surface is abstract: it is given by a rule ggg for measuring lengths and angles in local coordinates, not as a surface sitting in space. The local isometric realization problem asks whether every such surface can, near each point, be realized as an honest smooth surface in Euclidean three-space with the same lengths. The question goes back to the classical theory of surfaces. It is settled for real-analytic metrics and for smooth metrics with nonvanishing curvature, while the unrestricted smooth case is listed as open by Yau (Yau 2000, p. 236) and in Ghomi's problem survey (Ghomi 2019, §1.5, Problem 1.9).

Timeline

  • 1926–1927 — Janet and Cartan: every real-analytic surface metric is locally realizable analytically in R3\mathbb R^3R3 (Janet 1926; Cartan 1927).
  • 1954–1955 — Nash and Kuiper: C1C^1C1 isometric realizations exist with great flexibility (Nash 1954; Kuiper 1955). At C1C^1C1 regularity there is no curvature constraint.
  • 1971 — Pogorelov constructs a C2,1C^{2,1}C2,1 metric with no local C2C^2C2 realization (Pogorelov 1971).
  • 1985–1986 — C.-S. Lin: local realization for nonnegative curvature and for curvature changing sign cleanly, with finite differentiability (Lin 1985; Lin 1986).
  • 1989 — Nakamura and Maeda: smooth local existence when the curvature changes sign cleanly (Trans. AMS 1989).
  • 2002 — A Nadirashvili–Yuan preprint states a smooth counterexample with K≤0K\le0K≤0 (arXiv:math/0208127); their published 2008 paper instead proves a C2,1C^{2,1}C2,1 counterexample with K≥0K\ge0K≥0 and leaves the smooth question open (Calc. Var. PDE 2008).
  • 2007–2009 — Khuri: counterexamples to local solvability for general Monge–Ampère equations (CPDE 2007), and work on Darboux's equation that leaves the needed curvature profile open (Khuri 2009).
  • 2010–2016 — Positive results under finite-order conditions on the curvature zero set (Han–Khuri 2010; T.-Y. Lin 2016).
  • 2026 — An OpenAI preprint, A Smooth Metric with No Local Isometric Immersion into Three-Space (OpenAI Math Release, September 24, 2026), claims a smooth metric on (−1,1)2(-1,1)^2(−1,1)2 that has no smooth isometric immersion on any neighborhood of the origin. It has not been peer reviewed, and the claim has not been formally verified.

Setting

Work in coordinates p=(p1,p2)p=(p_1,p_2)p=(p1​,p2​) on the open square Q=(−1,1)2⊂R2Q=(-1,1)^2\subset\mathbb R^2Q=(−1,1)2⊂R2. A Riemannian metric on QQQ is a map p↦g(p)p\mapsto g(p)p↦g(p) to symmetric 2×22\times22×2 real matrices that are positive definite; it is C∞C^\inftyC∞ if every entry gijg_{ij}gij​ is smooth. An isometric immersion of (U,g)(U,g)(U,g), for an open set U⊆QU\subseteq QU⊆Q, is a map F:U→R3F:U\to\mathbb R^3F:U→R3 whose differential reproduces ggg:

⟨dFp(v), dFp(w)⟩R3=vTg(p) w(p∈U, v,w∈R2),\langle dF_p(v),\,dF_p(w)\rangle_{\mathbb R^3}=v^{\mathsf T} g(p)\,w\qquad(p\in U,\ v,w\in\mathbb R^2),⟨dFp​(v),dFp​(w)⟩R3​=vTg(p)w(p∈U, v,w∈R2),

equivalently ⟨∂iF,∂jF⟩=gij\langle\partial_iF,\partial_jF\rangle=g_{ij}⟨∂i​F,∂j​F⟩=gij​. Positive definiteness forces dFdFdF to have rank 222. In Lean, Coord = Fin 2 → ℝ, Ambient = EuclideanSpace ℝ (Fin 3), square is QQQ, and LocalSmoothPositive packages smoothness of every entry and Matrix.PosDef at every point.

Formalization targets

Goal: a nonrealizable smooth metric (Theorem A)

∃ g smooth, positive definite on Q  such that for every open U⊆Q with 0∈U, there is no C∞ F:U→R3 with F∗⟨⋅,⋅⟩=g.\exists\, g\ \text{smooth, positive definite on } Q\ \text{ such that for every open } U\subseteq Q \text{ with } 0\in U,\ \text{there is no } C^\infty\ F:U\to\mathbb R^3 \text{ with } F^*\langle\cdot,\cdot\rangle=g .∃g smooth, positive definite on Q  such that for every open U⊆Q with 0∈U, there is no C∞ F:U→R3 with F∗⟨⋅,⋅⟩=g.

This is Theorem A of the source (p. 1). Because a smooth isometric immersion restricts to an embedding near any point, it also rules out local smooth isometric embeddings. The stronger statement that ggg can be chosen with the full Euclidean Taylor jet at the origin (Corollary 5.3) is not part of the goal. The goal is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. The theorem shows that smooth local isometric realization in R3\mathbb R^3R3 can fail, which answers negatively the unrestricted smooth problem recorded by Yau and Ghomi. It separates the smooth case from the analytic case (Janet–Cartan) and from finite regularity (Pogorelov, Nadirashvili–Yuan 2008). It also shows, by Corollary 5.3, that the infinite-order jet of the metric at a point does not decide realizability. It leaves open the same question under a sign condition K≥0K\ge0K≥0 or K≤0K\le0K≤0, since the construction uses both signs of curvature.

Formalizing it. The statement is short, but the claimed proof combines PDE estimates for Darboux's equation, hyperbolic propagation, a Baire-category argument and a boundary-saddle geometric step. The literature has disagreed about the status of the smooth question (NY2002 versus NY2008), so a machine-checked proof would remove the ambiguity. Mathlib has the manifold calculus needed to state the result (ContMDiff, mfderiv) but none of the PDE layer.

Difficulty

Where the Gaussian curvature KKK is nonzero, the realization equations are elliptic or hyperbolic and can be solved locally, so any counterexample must exploit degeneracy where KKK vanishes and changes type. Finite-regularity counterexamples (Pogorelov) do not carry over: existence at every finite order, on neighborhoods that shrink with the order, does not give one smooth map on a fixed neighborhood. Nonsolvable Monge–Ampère equations are also not enough by themselves, because the coefficients of the Darboux equation come from the same metric, so the obstruction has to be built into ggg itself. Finally, the conclusion must hold for every neighborhood of the origin and every smooth immersion, with no a priori bounds on FFF.

Formalization scope

  • The metric is a function on the subtype of the open set coordinateSquareOpen with values in Matrix (Fin 2) (Fin 2) ℝ. Each entry is ContMDiff … ∞ and each value is Matrix.PosDef, which includes symmetry (Hermitian over ℝ).
  • The quantifier ranges over all U : Opens Coord with U⊆QU\subseteq QU⊆Q and 0∈U0\in U0∈U, and over all maps F : U → Ambient that are ContMDiff … ∞ on the open submanifold UUU. The isometry condition is stated with mfderiv and the Euclidean inner product: ⟨dFpv,dFpw⟩=v⋅(g(p)w)\langle dF_p v, dF_p w\rangle = v\cdot(g(p)w)⟨dFp​v,dFp​w⟩=v⋅(g(p)w).
  • The conclusion is a negation of existence, so it is not trivialized by a junk value: ggg must be genuinely smooth and positive definite, and an immersion on any neighborhood, however small, is excluded.
  • Infrastructure needed: Gauss equation and second fundamental form in coordinates, Darboux's equation, energy and weighted elliptic estimates, hyperbolic propagation, and the Baire category theorem (available in Mathlib). The surface-theory layer is reusable for other isometric-embedding projects.

Selected references

  • M. Janet, Sur la possibilité de plonger un espace riemannien donné dans un espace euclidien, Ann. Soc. Polon. Math. 5 (1926), 38–43. https://rcin.org.pl/dlibra/publication/31746/edition/15034
  • É. Cartan, Sur la possibilité de plonger un espace riemannien donné dans un espace euclidien, Ann. Soc. Polon. Math. 6 (1927), 1–7. https://rcin.org.pl/dlibra/publication/32955/edition/18106
  • J. Nash, C1C^1C1 isometric imbeddings, Ann. of Math. 60 (1954), 383–396. https://doi.org/10.2307/1969840
  • N. H. Kuiper, On C1C^1C1-isometric imbeddings. I, Nederl. Akad. Wetensch. Proc. Ser. A 58 (1955), 545–556.
  • A. V. Pogorelov, An example of a two-dimensional Riemannian metric admitting no local realization in E3E^3E3, Dokl. Akad. Nauk SSSR 198 (1971), 42–43. https://www.mathnet.ru/eng/dan36135
  • C.-S. Lin, The local isometric embedding in R3\mathbb R^3R3 of 2-dimensional Riemannian manifolds with nonnegative curvature, J. Differential Geom. 21 (1985), 213–230. https://doi.org/10.4310/jdg/1214439563
  • C.-S. Lin, The local isometric embedding in R3\mathbb R^3R3 of two-dimensional Riemannian manifolds with Gaussian curvature changing sign cleanly, Comm. Pure Appl. Math. 39 (1986), 867–887. https://doi.org/10.1002/cpa.3160390607
  • G. Nakamura and Y. Maeda, Local smooth isometric embeddings of low-dimensional Riemannian manifolds into Euclidean spaces, Trans. Amer. Math. Soc. 313 (1989), 1–51. https://doi.org/10.1090/S0002-9947-1989-0992597-8
  • N. Nadirashvili and Y. Yuan, Counterexamples for local isometric embedding, preprint (2002). https://arxiv.org/abs/math/0208127v1
  • N. Nadirashvili and Y. Yuan, Improving Pogorelov's isometric embedding counterexample, Calc. Var. PDE 32 (2008), 319–323. https://doi.org/10.1007/s00526-007-0140-7
  • M. A. Khuri, Counterexamples to the local solvability of Monge–Ampère equations in the plane, Comm. PDE 32 (2007), 665–674. https://doi.org/10.1080/03605300600635061
  • M. A. Khuri, On the local solvability of Darboux's equation, Discrete Contin. Dyn. Syst. (2009, Supplement), 451–456. https://doi.org/10.3934/proc.2009.2009.451
  • Q. Han and M. Khuri, Comm. Anal. Geom. 18 (2010), 649–704. https://doi.org/10.4310/CAG.2010.v18.n4.a2
  • T.-Y. Lin, Comm. PDE 41 (2016), 1553–1592. https://doi.org/10.1080/03605302.2016.1227336
  • S.-T. Yau, Review of geometry and analysis, Asian J. Math. 4 (2000), 235–278. https://doi.org/10.4310/AJM.2000.v4.n1.a16
  • M. Ghomi, Open problems in geometry of curves and surfaces, survey (2019), §1.5. https://ghomi.math.gatech.edu/Papers/op.pdf
  • OpenAI, A Smooth Metric with No Local Isometric Immersion into Three-Space, OpenAI Math Release preprint, September 24, 2026 (Theorem A, p. 1). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Smooth-Metric-with-No-Local-Isometric-Immersion-into-Three-Space-September-24-2026/paper.pdf
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Differential GeometryPartial Differential Equations·Captain: wurtle

Smooth isometric immersions of closed surfaces into Euclidean four-spaceResearch Paper

Motivation

An isometric immersion realizes an abstract Riemannian manifold as a surface in Euclidean space whose induced lengths are exactly the prescribed ones. How many dimensions are needed is a classical question. Nash showed that every compact Riemannian nnn-manifold embeds smoothly and isometrically in some Euclidean space; for surfaces his bound is R17\mathbb R^{17}R17 (Nash 1956). Gromov lowered the immersion dimension for closed surfaces to R5\mathbb R^5R5 (Partial Differential Relations, 1986, §3.2.4). Three dimensions do not suffice even locally in the smooth category, and Gromov recorded the question whether every smooth Riemannian surface admits a smooth isometric immersion into R4\mathbb R^4R4 (Gromov 2000, §I, Remark (d)), later attributing it to Chern around 1950 (Gromov 2015, p. 4).

This mission asks for a machine-checked proof of Theorem 1.1 of an OpenAI preprint dated September 23, 2026 (source), which answers the compact, boundaryless form of that question: every closed smooth Riemannian surface admits a smooth isometric immersion into R4\mathbb R^4R4. The preprint has not been peer reviewed and its claim has not been independently verified; on the platform the Lean goal is open.

Background

  • 1926–1927 — Janet and Cartan: analytic Riemannian surfaces embed locally isometrically in R3\mathbb R^3R3 (Janet 1926; Cartan 1927).
  • 1954–1955 — Nash and Kuiper: strictly short immersions in positive codimension can be uniformly approximated by C1C^1C1 isometric immersions (Nash 1954; Kuiper 1955).
  • 1956 — Nash's smooth embedding theorem, dimension n(3n+11)/2n(3n+11)/2n(3n+11)/2, i.e. 171717 for surfaces.
  • 1973 — Poznyak: C3,αC^{3,\alpha}C3,α metrics on compact parts of simply connected planar domains admit C2,αC^{2,\alpha}C2,α isometric immersions into R4\mathbb R^4R4 (Russ. Math. Surveys 1973).
  • 1986 — Gromov: smooth isometric immersions of closed surfaces into R5\mathbb R^5R5.
  • 2026 — Lewicka proves C1,αC^{1,\alpha}C1,α flexibility in R4\mathbb R^4R4 for low-regularity metrics on disk-type planar domains (arXiv:2511.16305); a companion OpenAI preprint gives a smooth metric on a square with no local smooth isometric immersion into R3\mathbb R^3R3; the present preprint claims the closed-surface case in R4\mathbb R^4R4 (Theorem 1.1, p. 2).

Setting

A closed surface MMM is a compact smooth two-dimensional manifold without boundary; it need not be orientable or connected. A Riemannian metric ggg assigns to each p∈Mp\in Mp∈M a positive definite inner product gpg_pgp​ on TpMT_pMTp​M, depending smoothly on ppp. A smooth map F:M→R4F:M\to\mathbb R^4F:M→R4 is an isometric immersion if

⟨dFp(v),dFp(w)⟩=gp(v,w)(p∈M, v,w∈TpM).\langle dF_p(v),dF_p(w)\rangle=g_p(v,w)\qquad(p\in M,\ v,w\in T_pM).⟨dFp​(v),dFp​(w)⟩=gp​(v,w)(p∈M, v,w∈Tp​M).

Positive definiteness of ggg forces dFpdF_pdFp​ to be injective, so FFF is an immersion; self-intersections are allowed.

Formalization targets

Goal: Theorem 1.1 (p. 2)

For every closed smooth Riemannian surface (M,g)(M,g)(M,g) there is a C∞C^\inftyC∞ map F:M→R4F:M\to\mathbb R^4F:M→R4 with F∗δ4=gF^*\delta_4=gF∗δ4​=g, where δ4=∑i=14dxi2\delta_4=\sum_{i=1}^4dx_i^2δ4​=∑i=14​dxi2​. In Lean this is OAI.ClosedSurfaceR4.FiniteOrderSmoothing.smooth_isometric_immersion.

Significance

The result itself. The theorem lowers Gromov's immersion dimension for closed surfaces from five to four, with no restriction on curvature or topology, and settles the closed case of the question Gromov attributes to Chern. Dimension four is the first codimension in which the smooth problem can have a global answer for all surfaces, since smooth metrics with no local isometric immersion into R3\mathbb R^3R3 exist. The open (noncompact) case of the question is not addressed.

Formalizing it. Mathlib now has smooth manifolds, tangent bundles and smooth Riemannian metrics, so the statement is expressible without custom geometry. A complete proof would add Whitney's immersion theorem, Sard's theorem in equal dimensions, metric decompositions into rank-one terms, Nash–Moser-type smoothing estimates, and oscillatory correction schemes; none of these are formalized at this level, and all are reusable in geometric analysis.

Difficulty

The isometric immersion equation dFTdF=gdF^{\mathsf T}dF=gdFTdF=g is a nonlinear system of three equations in four unknown functions, and its linearization loses derivatives, so a direct implicit function argument fails. Convex integration in the Nash–Kuiper style produces only C1C^1C1 solutions. Poznyak's smooth theory works on planar domains with boundary, but on a closed surface the successive local corrections must remain compatible globally. The preprint keeps a nondegenerate normal geometry (a nonzero vector-valued second fundamental form) through every step, adds the metric deficit one positive rank-one term a2dx2a^2dx^2a2dx2 at a time via a velocity loop in a plane normal to FyF_yFy​ and FyyF_{yy}Fyy​ (Proposition 3.1, p. 8; Proposition 7.1, p. 25), and then corrects the approximate metric exactly by a smoothing scheme that solves the linearized equation only on oscillatory modes (Proposition 5.1, p. 15). Nonorientable surfaces are handled by starting from an immersion into a small round 333-sphere, whose radial direction is a global normal (Lemma 9.1, p. 35).

Formalization scope

  • MMM is a type with ChartedSpace (EuclideanSpace ℝ (Fin 2)) M and IsManifold 𝓘(ℝ, ℝ²) ∞ M, assumed compact, Hausdorff and second countable. Being modeled on R2\mathbb R^2R2 (not a half-space) encodes "without boundary"; no orientability or connectedness is assumed.
  • The metric is Mathlib's Bundle.ContMDiffRiemannianMetric of class C∞C^\inftyC∞ on the tangent bundle.
  • The conclusion asks for ContMDiff … ∞ F and equality of the Euclidean inner product of mfderiv images with g.inner p v w for all tangent vectors; immersivity follows and is not stated separately.
  • The statement is not trivialized: the conclusion is an exact pointwise identity for a smooth map, and the hypotheses are satisfied by every closed surface with any metric.

Selected references

  • OpenAI, Smooth isometric immersions of closed surfaces into Euclidean four-space, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Smooth-isometric-immersions-of-closed-surfaces-into-Euclidean-four-space-September-23-2026/paper.pdf
  • J. Nash, The imbedding problem for Riemannian manifolds, Ann. of Math. 63 (1956). https://doi.org/10.2307/1969989
  • J. Nash, C¹-isometric imbeddings, Ann. of Math. 60 (1954). https://doi.org/10.2307/1969840
  • M. Gromov, Partial Differential Relations, Springer (1986). https://doi.org/10.1007/978-3-662-02267-2
  • M. Gromov, Spaces and questions, Geom. Funct. Anal. (2000). https://www.ihes.fr/~gromov/wp-content/uploads/2018/08/SpacesandQuestions.pdf
  • M. Gromov, Geometric, algebraic and analytic descendants of Nash isometric embedding theorems (2015). https://www.ihes.fr/~gromov/wp-content/uploads/2018/08/nash-copy-Oct9.pdf
  • E. G. Poznyak, Isometric immersions of two-dimensional Riemannian metrics in Euclidean space, Russian Math. Surveys (1973). https://doi.org/10.1070/RM1973v028n04ABEH001591
  • M. Lewicka, Full flexibility of isometric immersions of metrics with low Hölder regularity in Poznyak theorem's dimension, arXiv:2511.16305v3 (2026). https://arxiv.org/abs/2511.16305v3
  • H. Whitney, The singularities of a smooth n-manifold in (2n−1)-space, Ann. of Math. 45 (1944). https://doi.org/10.2307/1969266
  • R. S. Hamilton, The inverse function theorem of Nash and Moser, Bull. AMS 7 (1982). https://doi.org/10.1090/S0273-0979-1982-15004-2
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AnalysisFunctional Analysis·Captain: wurtle

Universal strong Kadison–Kastler stabilityResearch Paper

Motivation

How rigid is a von Neumann algebra inside B(H)B(H)B(H)? If two algebras M,N⊆B(H)M,N\subseteq B(H)M,N⊆B(H) have unit balls that are uniformly close, must they be the same algebra up to a small change of coordinates? Kadison and Kastler introduced the distance between the unit balls in 1972 (Amer. J. Math. 1972) and asked whether sufficiently close algebras are spatially isomorphic, implemented by a unitary close to the identity. The positive answer for a class of algebras is called (strong) Kadison–Kastler stability. The problem connects perturbation theory, Hochschild cohomology, and Kadison's similarity problem, and it was settled previously only for injective (amenable) algebras, type I algebras, and specific nonamenable examples.

This mission asks for a formal proof of the uniform strong Kadison–Kastler stability theorem stated in an OpenAI preprint dated September 23, 2026 (source): a single tolerance works for all von Neumann algebras on all Hilbert spaces. The preprint has not been peer reviewed and its claims have not been independently verified; on the platform the Lean goal is open.

Background

  • 1972 — Kadison and Kastler introduce the metric and prove stability results for type I algebras (Amer. J. Math. 1972).
  • 1974–1975 — Phillips proves spatial isomorphism for close type I algebras (Pacific J. Math. 1974); Christensen obtains a conjugating unitary near the identity (J. LMS 1975).
  • 1977 — Christensen (Invent. Math. 1977), Johnson (Proc. LMS 1977) and Raeburn–Taylor (JFA 1977) settle the injective case.
  • 1980 — Christensen's theory of near inclusions (Acta Math. 1980).
  • 1982 — Johnson's examples show that for C*-algebras the implementing unitary cannot always be chosen near the identity in a uniform way (Canad. Math. Bull. 1982).
  • 1983 — Haagerup's cyclic similarity estimate (Ann. of Math. 1983).
  • 2010–2012 — Christensen, Sinclair, Smith, White and Winter prove spatial isomorphism for close separable nuclear C*-algebras (PNAS 2010; Acta Math. 2012).
  • 2012–2014 — Cameron, Christensen, Sinclair, Smith, White and Wiggins construct the first nonamenable Kadison–Kastler stable factors, (L∞(X)⋊SLn(Z))⊗ˉR(L^\infty(X)\rtimes SL_n(\mathbb Z))\bar\otimes R(L∞(X)⋊SLn​(Z))⊗ˉ​R for n≥3n\ge3n≥3 (PNAS 2012; Duke 2014).
  • September 2026 — The OpenAI preprint claims uniform stability for all von Neumann algebras (Theorem 1.1, p. 2).

Setting

Let HHH be a complex Hilbert space and B(H)B(H)B(H) the bounded operators with the operator norm. A von Neumann algebra M⊆B(H)M\subseteq B(H)M⊆B(H) is a unital ∗*∗-subalgebra equal to its double commutant (in particular it contains the identity IHI_HIH​). Write M1={x∈M:∥x∥≤1}M_1=\{x\in M:\|x\|\le1\}M1​={x∈M:∥x∥≤1} for its unit ball. The Kadison–Kastler distance is the Hausdorff distance of unit balls,

d(M,N)=max⁡(sup⁡x∈M1inf⁡y∈N1∥x−y∥, sup⁡y∈N1inf⁡x∈M1∥x−y∥).d(M,N)=\max\Bigl(\sup_{x\in M_1}\inf_{y\in N_1}\|x-y\|,\ \sup_{y\in N_1}\inf_{x\in M_1}\|x-y\|\Bigr).d(M,N)=max(x∈M1​sup​y∈N1​inf​∥x−y∥, y∈N1​sup​x∈M1​inf​∥x−y∥).

A unitary u∈B(H)u\in B(H)u∈B(H) conjugates MMM to NNN if uMu∗=NuMu^*=NuMu∗=N.

Formalization targets

Goal: Theorem 1.1 (p. 2)

For every ε>0\varepsilon>0ε>0 there is δ>0\delta>0δ>0 such that for every complex Hilbert space HHH and all von Neumann algebras M,N⊆B(H)M,N\subseteq B(H)M,N⊆B(H) with d(M,N)<δd(M,N)<\deltad(M,N)<δ, there is a unitary u∈B(H)u\in B(H)u∈B(H) with

uMu∗=Nand∥u−IH∥<ε.uMu^*=N\qquad\text{and}\qquad\|u-I_H\|<\varepsilon .uMu∗=Nand∥u−IH​∥<ε.

The tolerance δ\deltaδ depends only on ε\varepsilonε: not on the algebras, their type, their representations, or the size of HHH.

Significance

The result itself. It answers the Kadison–Kastler perturbation question in its strongest uniform form for von Neumann algebras, including all nonamenable and type III cases and non-separable Hilbert spaces. Consequences include that every algebraic or analytic invariant preserved by unitary conjugacy (type, factoriality, property Γ\GammaΓ, Cartan subalgebras) is locally constant in the Kadison–Kastler metric. The analogous C*-algebra statement fails in its uniform-unitary form by Johnson's examples, so the theorem is specific to von Neumann algebras.

Formalizing it. The statement uses only Mathlib's VonNeumannAlgebra, unitary operators and Hausdorff distance, so it is fully expressible today. The proof, however, draws on free probability, tracial ultraproducts, Tomita–Takesaki theory, crossed products, Poisson boundaries and measurable cocycles, most of which are absent from Mathlib. Formalizing even the amenable (injective) case would be a substantial reusable contribution.

Difficulty

Closeness of unit balls supplies nearby elements but no linear or multiplicative correspondence between the algebras, and it gives no control at matrix levels, where perturbation arguments naturally live. For nonamenable algebras the classical route through vanishing Hochschild cohomology is unavailable. The preprint proceeds by cases. For finite factors it proves a uniform bound on all matrix amplifications of commutator maps (Theorem 3.1, p. 11) and corrects nearby unitaries to a measurable cocycle over an amenable boundary action (Section 4). Infinite factors require comparing modular groups through Tomita graphs (Proposition 6.5, p. 41) and aligning the modular action (Proposition 7.1, p. 45) before passing to crossed products (Theorem 8.4, p. 59). General algebras then require aligning centers and passing from separable to arbitrary Hilbert spaces (Section 9) without losing uniformity.

Formalization scope

  • HHH ranges over complex Hilbert spaces (NormedAddCommGroup, InnerProductSpace ℂ, CompleteSpace) in a fixed universe u; δ\deltaδ is chosen before HHH, so the uniformity over Hilbert spaces is part of the statement.
  • VonNeumannAlgebra H is Mathlib's notion; these algebras contain the identity, so "unital with identity IHI_HIH​" is built in.
  • kkDistance M N is Metric.hausdorffDist of the closed unit balls. Both balls contain 000 and are bounded, so the Hausdorff distance is finite and the definition is exactly (1.1).
  • NearConjugacy M N ε asks for a unitary vvv with v M v∗=Nv\,M\,v^*=NvMv∗=N as sets and ∥v−1∥<ε\|v-1\|<\varepsilon∥v−1∥<ε.
  • There is no trivializing reading: the hypotheses are satisfied by M=NM=NM=N, and the conclusion is nontrivial for M≠NM\neq NM=N.

Selected references

  • OpenAI, Universal strong Kadison–Kastler stability, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Universal-strong-Kadison-Kastler-stability-September-23-2026/paper.pdf
  • R. V. Kadison, D. Kastler, Perturbations of von Neumann algebras. I. Stability of type, Amer. J. Math. 94 (1972). https://doi.org/10.2307/2373592
  • E. Christensen, Perturbations of type I von Neumann algebras, J. London Math. Soc. (1975). https://doi.org/10.1112/jlms/s2-9.3.395
  • E. Christensen, Perturbation of operator algebras, Invent. Math. 43 (1977). https://doi.org/10.1007/BF01390201
  • B. E. Johnson, Perturbations of Banach algebras, Proc. London Math. Soc. (1977). https://doi.org/10.1112/plms/s3-34.3.439
  • I. Raeburn, J. L. Taylor, Hochschild cohomology and perturbations of Banach algebras, J. Funct. Anal. (1977). https://doi.org/10.1016/0022-1236(77)90072-6
  • E. Christensen, Near inclusions of C-algebras*, Acta Math. 144 (1980). https://doi.org/10.1007/BF02392125
  • B. E. Johnson, A counterexample in the perturbation theory of C-algebras*, Canad. Math. Bull. 25 (1982). https://doi.org/10.4153/CMB-1982-043-4
  • U. Haagerup, Solution of the similarity problem for cyclic representations of C-algebras*, Ann. of Math. 118 (1983). https://doi.org/10.2307/2007028
  • E. Christensen, A. M. Sinclair, R. R. Smith, S. A. White, W. Winter, Perturbations of nuclear C-algebras*, Acta Math. 208 (2012). https://doi.org/10.1007/s11511-012-0075-5
  • J. Cameron, E. Christensen, A. M. Sinclair, R. R. Smith, S. A. White, A. D. Wiggins, Kadison–Kastler stable factors, Duke Math. J. 163 (2014). https://doi.org/10.1215/00127094-2819736
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Dynamical SystemsMathematical PhysicsProbability·Captain: wurtle

The sharp factor-of-IID threshold for the free Ising model on regular treesResearch Paper

Motivation

A random configuration on the vertices of a graph is a factor of IID if it can be produced by a measurable rule from independent uniform labels at the vertices, where the rule commutes with the graph's automorphisms. On trees this notion connects ergodic theory (which invariant processes are "Bernoulli-like"), local algorithms on sparse random graphs (factors of IID are limits of what local algorithms can produce), and statistical mechanics. The free Ising state on the ddd-regular tree is the basic test case. It is easy to sample from a chosen root by broadcasting spins outward, but a factor rule may not use a root. Lyons asked for which inverse temperatures it is a factor of IID (Lyons 2017), and Nam, Sly and Zhang conjectured the answer tanh⁡β≤(d−1)−1/2\tanh\beta\le(d-1)^{-1/2}tanhβ≤(d−1)−1/2 after proving it for large ddd below a non-explicit constant (Nam–Sly–Zhang 2022).

This mission asks for a formal proof of the exact threshold, including equality, as stated in an OpenAI preprint dated September 26, 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

  • 1995–1996 — Bleher, Ruiz and Zagrebnov (J. Stat. Phys. 1995) and Ioffe (Lett. Math. Phys. 1996): the free state on the regular tree is extremal exactly when (d−1)tanh⁡2β≤1(d-1)\tanh^2\beta\le1(d−1)tanh2β≤1.
  • 2000 — Evans, Kenyon, Peres and Schulman relate broadcasting on trees to the Ising model (Ann. Appl. Probab. 2000).
  • 2010 — Pemantle and Peres give a capacity criterion that also covers critical cases (Ann. Probab. 2010).
  • 2015 — Backhausz, Szegedy and Virág's correlation bound for factors of IID (Random Struct. Alg. 2015), which rules out the free state beyond the threshold.
  • 2017 — Lyons surveys factors of IID on trees, records Sly's obstruction above the reconstruction threshold, and the finite-cluster construction in the uniqueness range tanh⁡β≤1/(d−1)\tanh\beta\le 1/(d-1)tanhβ≤1/(d−1) (CPC 2017).
  • 2022 — Nam, Sly and Zhang construct the free state as a factor for d≥d0d\ge d_0d≥d0​ and tanh⁡β≤c/d−1\tanh\beta\le c/\sqrt{d-1}tanhβ≤c/d−1​, via posterior-drift stochastic differential equations, and conjecture the sharp threshold (CMP 2022).

Setting

Let TdT_dTd​ be the infinite ddd-regular tree with vertex set VVV; concretely, VVV is the set of finite words over {1,…,d}\{1,\dots,d\}{1,…,d} with no two equal consecutive letters, and www is adjacent to wcwcwc. Put θ=tanh⁡β\theta=\tanh\betaθ=tanhβ for β≥0\beta\ge0β≥0. The free zero-field Ising law μd,β\mu_{d,\beta}μd,β​ on {−1,+1}V\{-1,+1\}^V{−1,+1}V is determined by its marginals on finite connected subtrees DDD:

μd,β(σ∣D=η)=12∏{u,v}∈E(D)1+θ ηuηv2.\mu_{d,\beta}(\sigma|_D=\eta)=\frac12\prod_{\{u,v\}\in E(D)}\frac{1+\theta\,\eta_u\eta_v}{2}.μd,β​(σ∣D​=η)=21​{u,v}∈E(D)∏​21+θηu​ηv​​.

Equivalently, a fair spin at one vertex is broadcast along edges, each child agreeing with its parent with probability (1+θ)/2(1+\theta)/2(1+θ)/2. A spin law is a factor of IID if it is the law of Φ(U)\Phi(U)Φ(U) for i.i.d. uniform labels U=(Uv)v∈VU=(U_v)_{v\in V}U=(Uv​)v∈V​ and a measurable Φ:[0,1]V→{−1,1}V\Phi:[0,1]^V\to\{-1,1\}^VΦ:[0,1]V→{−1,1}V such that, for each fixed automorphism ggg, Φ(gU)=gΦ(U)\Phi(gU)=g\Phi(U)Φ(gU)=gΦ(U) almost surely, where (gx)v=xg−1v(gx)_v=x_{g^{-1}v}(gx)v​=xg−1v​.

Formalization targets

Goal: Theorem 1.1 (p. 1)

For every integer d≥3d\ge3d≥3 and every β≥0\beta\ge0β≥0,

μd,β is a factor of IID  ⟺  tanh⁡β≤1d−1.\mu_{d,\beta}\ \text{is a factor of IID}\iff \tanh\beta\le\frac1{\sqrt{d-1}}.μd,β​ is a factor of IID⟺tanhβ≤d−1​1​.

Significance

The result itself. It answers the ferromagnetic case of Lyons's question and proves the Nam–Sly–Zhang conjecture for every d≥3d\ge3d≥3. The threshold coincides with the reconstruction (extremality) threshold of the free state, and the result holds at equality, where non-reconstruction alone gives no factor rule (a weak limit of factors need not be a factor). The preprint also shows that, in this range, the factor can be chosen to commute with every automorphism on every input (Lemma 8.5, p. 46). The converse direction (tanh⁡β>(d−1)−1/2\tanh\beta>(d-1)^{-1/2}tanhβ>(d−1)−1/2 excludes a factor) is known from Sly's obstruction via the Backhausz–Szegedy–Virág bound and is reproved on p. 2.

Formalizing it. The preprint's construction uses Brownian observation processes, stochastic localization, innovation equations of nonlinear filtering, and conditional-copy coupling arguments. Mathlib has Brownian motion only in early form and no stochastic calculus for infinitely many coupled SDEs; a formal proof would build reusable stochastic-analysis infrastructure. The converse needs the BSV correlation bound for factors of IID. No machine-checked factor-of-IID result for a non-trivial Gibbs measure is known.

Difficulty

Rooted sampling is easy; the obstacle is to remove the root while keeping the output a measurable function of the labels. Finite-cluster constructions only work in the uniqueness range θ≤1/(d−1)\theta\le1/(d-1)θ≤1/(d−1). The Nam–Sly–Zhang approach observes Xv(t)=tσv+Bv(t)X_v(t)=t\sigma_v+B_v(t)Xv​(t)=tσv​+Bv​(t) and expresses the posterior through innovations WvW_vWv​, which are independent Brownian motions; but being Brownian does not make XXX a function of WWW, and that is the central step (pp. 2–3). At criticality θ=(d−1)−1/2\theta=(d-1)^{-1/2}θ=(d−1)−1/2 the field-response sums in the innovation equation are only borderline integrable near time zero, so infinite sums must be justified with an exact covariance-energy identity rather than with a contraction estimate (Section 1.2, p. 3).

Formalization scope

  • TreeVertex d is the set of words in Fin d with distinct consecutive letters, treeAdj appends or removes one letter, and TreeAut d is the group of adjacency-preserving bijections.
  • Labels have law Measure.infinitePi of Lebesgue measure on [0,1][0,1][0,1]; spins take values in a two-element type with the discrete σ-algebra, and configurations carry the product σ-algebra.
  • HasFreeIsingLaw θ μ prescribes μ\muμ on every cylinder over a finite connected Finset by the product formula above; these cylinders determine the law.
  • IsFactorOfIID d θ asks for a measurable Phi with pushforward law HasFreeIsingLaw θ and, for each automorphism g, Phi (relabel g U) = relabel g (Phi U) for almost every U (null set may depend on g), matching (1.1).
  • The goal uses θ = Real.tanh β with β≥0\beta\ge0β≥0 and d≥3d\ge3d≥3; at β=0\beta=0β=0 both sides hold trivially (i.i.d. spins), which is consistent with the source. The stronger everywhere-equivariant version is not part of the goal.

Selected references

  • OpenAI, The sharp factor-of-IID threshold for the free Ising model on regular trees, OpenAI Math Release preprint, September 26, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/The-sharp-factor-of-IID-threshold-for-the-free-Ising-model-on-regular-trees-September-26-2026/article.pdf
  • D. Nam, A. Sly, L. Zhang, Ising model on trees and factors of IID, Comm. Math. Phys. 389 (2022), 1009–1046. https://doi.org/10.1007/s00220-021-04260-2
  • R. Lyons, Factors of IID on trees, Combin. Probab. Comput. 26 (2017), 285–300. https://doi.org/10.1017/S096354831600033X
  • Á. Backhausz, B. Szegedy, B. Virág, Ramanujan graphings and correlation decay in local algorithms, Random Structures Algorithms 47 (2015). https://doi.org/10.1002/rsa.20562
  • P. M. Bleher, J. Ruiz, V. A. Zagrebnov, On the purity of the limiting Gibbs state for the Ising model on the Bethe lattice, J. Stat. Phys. 79 (1995). https://doi.org/10.1007/BF02179399
  • D. Ioffe, On the extremality of the disordered state for the Ising model on the Bethe lattice, Lett. Math. Phys. 37 (1996), 137–143. https://doi.org/10.1007/BF00416016
  • W. Evans, C. Kenyon, Y. Peres, L. J. Schulman, Broadcasting on trees and the Ising model, Ann. Appl. Probab. 10 (2000). https://doi.org/10.1214/aoap/1019487349
  • R. Pemantle, Y. Peres, The critical Ising model on trees, concave recursions and nonlinear capacity, Ann. Probab. 38 (2010). https://doi.org/10.1214/09-AOP482
  • R. Eldan, Thin shell implies spectral gap up to polylog via a stochastic localization scheme, GAFA 23 (2013), 532–569. https://doi.org/10.1007/s00039-013-0214-y
  • A. El Alaoui, A. Montanari, An information-theoretic view of stochastic localization, IEEE Trans. Inform. Theory 68 (2022). https://doi.org/10.1109/TIT.2022.3180298
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Graph TheoryGroup TheoryProbability·Captain: wurtle

No percolation at criticality on quasi-transitive graphsResearch Paper

Motivation

In Bernoulli bond percolation on a graph G=(V,E)G=(V,E)G=(V,E), each edge is kept (open) independently with probability ppp. As ppp grows, an infinite connected component of open edges appears at the critical probability pc(G)p_c(G)pc​(G). The criticality problem asks whether an infinite cluster can already exist at pcp_cpc​. A negative answer means the phase transition is continuous. Benjamini and Schramm (1996) conjectured that, on every graph with a large symmetry group and pc<1p_c<1pc​<1, there is no infinite cluster at pcp_cpc​. The question contains the famous open case of Z3\mathbb Z^3Z3 and connects percolation to geometric group theory, since Cayley graphs of finitely generated groups are the main examples.

Timeline

  • 1957. Broadbent and Hammersley introduce percolation (doi:10.1017/S0305004100032680).
  • 1960, 1980. Harris and Kesten settle nearest-neighbour bond percolation on Z2\mathbb Z^2Z2, including θ(pc)=0\theta(p_c)=0θ(pc​)=0 (doi:10.1017/S0305004100034241, doi:10.1007/BF01197577).
  • 1986–1987. Menshikov and Aizenman–Barsky prove sharpness of the subcritical phase; this does not settle behaviour at pcp_cpc​ (doi:10.1007/BF01212322).
  • 1990. Hara and Slade prove mean-field behaviour, including θ(pc)=0\theta(p_c)=0θ(pc​)=0, for Zd\mathbb Z^dZd in sufficiently high dimension (doi:10.1007/BF02108785).
  • 1996. Benjamini and Schramm formulate the conjecture for quasi-transitive graphs with pc<1p_c<1pc​<1 (doi:10.1214/ECP.v1-978).
  • 1999. Benjamini, Lyons, Peres and Schramm prove it for nonamenable graphs with a unimodular quasi-transitive action (doi:10.1214/aop/1022677450).
  • 2006. Timár excludes infinitely many infinite critical clusters on nonunimodular transitive graphs (doi:10.1214/009117906000000494).
  • 2016. Hutchcroft proves the conjecture for every quasi-transitive graph of exponential growth (arXiv:1605.05301). Duminil-Copin, Sidoravicius and Tassion treat slabs (doi:10.1002/cpa.21641).
  • 2017. Fitzner and van der Hofstad reach nearest-neighbour Zd\mathbb Z^dZd, d≥11d\ge11d≥11 (arXiv:1506.07977).
  • 2021. Hermon and Hutchcroft cover certain groups of intermediate growth (arXiv:1809.11112).
  • 2024. Kozma and Nitzan reduce the Zd\mathbb Z^dZd case to a conjectured gluing inequality (arXiv:2401.12397).
  • 2026. Public, non-peer-reviewed announcements report AI-assisted proofs for Zd\mathbb Z^dZd, including a reported Lean formalization of the lattice case (Leder, August 2026).

The source of this mission is an OpenAI preprint dated September 24, 2026, which treats the remaining subexponential-growth case for all quasi-transitive graphs.

Setting

A graph here has vertex set VVV and a set EEE of labelled bonds, each with a pair of endpoints; loops and parallel bonds are allowed. It is locally finite if each vertex lies in finitely many bonds, connected if any two vertices are joined by a path, and quasi-transitive if its automorphism group (bijections of vertices and of bonds respecting endpoints) has finitely many orbits on VVV. Examples include Zd\mathbb Z^dZd and every Cayley graph of a finitely generated group.

For p∈[0,1]p\in[0,1]p∈[0,1], let Pp\mathbb P_pPp​ be the law of a random set ω⊆E\omega\subseteq Eω⊆E containing each bond independently with probability ppp. The cluster Cx(ω)C_x(\omega)Cx​(ω) of xxx is the set of vertices joined to xxx by a finite path of bonds in ω\omegaω (including xxx). Define

pc(G)=inf⁡{p∈[0,1]: Pp(∃x, ∣Cx∣=∞)>0}.p_c(G)=\inf\{p\in[0,1]:\ \mathbb P_p(\exists x,\ |C_x|=\infty)>0\}.pc​(G)=inf{p∈[0,1]: Pp​(∃x, ∣Cx​∣=∞)>0}.

Formalization targets

Goal: Theorem 1.1

For every infinite, connected, locally finite, quasi-transitive graph GGG,

pc(G)<1 ⟹ Ppc(G)(∃x∈V: ∣Cx∣=∞)=0.p_c(G)<1\ \Longrightarrow\ \mathbb P_{p_c(G)}\bigl(\exists x\in V:\ |C_x|=\infty\bigr)=0.pc​(G)<1 ⟹ Ppc​(G)​(∃x∈V: ∣Cx​∣=∞)=0.

The hypothesis pc<1p_c<1pc​<1 is necessary, since at p=1p=1p=1 every infinite connected graph percolates. The Lean statement OAI.CriticalPercolation.BondGraph.no_percolation_at_criticality is open on the platform.

Significance

Theorem 1.1 resolves the Benjamini–Schramm criticality conjecture for Bernoulli bond percolation, and in particular gives θ(pc)=0\theta(p_c)=0θ(pc​)=0 on Zd\mathbb Z^dZd for every d≥2d\ge2d≥2 (Corollary 10.1, p. 39), including the long-open case d=3d=3d=3. With Hutchcroft's exponential-growth theorem, the remaining work is the subexponential case, divided into superpolynomial growth and growth bounded by a polynomial along a sequence of scales. As a consequence the percolation probability is continuous at pcp_cpc​ on every such graph.

The result is proved in an OpenAI preprint that has not been peer reviewed. No machine-checked proof of the general quasi-transitive statement exists; the reported Lean formalization concerns only nearest-neighbour Zd\mathbb Z^dZd. A formal proof would also certify the structural input (Tessera–Tointon's finitary structure theorem) as used here.

Difficulty

The obvious strategy, renormalization from large finite boxes, needs a gluing inequality to connect independently found large clusters, and it needs coordinates: on a general quasi-transitive graph there is no lattice to place boxes in. Planar duality is unavailable, the lace expansion needs high dimension, and Hutchcroft's argument uses exponential growth essentially. In the superpolynomial case one must rule out two large distinct clusters adjacent across an edge; in the polynomial case one needs nilpotent-group coordinates (Gromov, Trofimov, Tessera–Tointon) and a two-direction corridor exploration in which conditional failure probabilities stay uniformly small. Neither uniqueness of the infinite cluster nor independence across coarse blocks can be assumed.

Formalization scope

  • BondGraph V E stores ends : E → Sym2 V; loops and parallel bonds are allowed. LocallyFinite counts bonds at each vertex. Clusters use SimpleGraph.fromEdgeSet of the open bonds, so loops are discarded and parallel bonds collapse; reachability includes the zero-length path.
  • Aut consists of a vertex bijection and a bond bijection that commute with ends; QuasiTransitive says some finite set of vertices meets every orbit.
  • law p is ProbabilityTheory.setBernoulli Set.univ p on Set E: each bond retained independently with probability p : unitInterval.
  • criticalProbability is sInf in unitInterval of {p:Pp(percolates)>0}\{p:\mathbb P_p(\text{percolates})>0\}{p:Pp​(percolates)>0}; if the set were empty this would be 111, which hpc excludes.
  • percolates is the event that some cluster is infinite; the conclusion says it has measure 000 at pcp_cpc​.

A complete development needs Bernoulli product measures, Harris–FKG and conditional correlation inequalities, Hutchcroft's exponential-growth theorem, volume-growth theory of quasi-transitive graphs, and the Gromov–Trofimov–Tessera–Tointon structure theory. Each of these is reusable well beyond this mission. Contributions formalizing Proposition 3.1 (two-cluster bound), Theorem 6.1 (joint gluing), Theorem 7.1 (criticality with a nilpotent quotient action) or Proposition 9.3 (subcritical exploration), or the cited Theorem 2.2 (Hutchcroft), are welcome.

Selected references

  • OpenAI, No percolation at criticality on quasi-transitive graphs, preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/No-percolation-at-criticality-on-quasi-transitive-graphs-September-24-2026/paper.pdf
  • I. Benjamini, O. Schramm, Percolation beyond Zd\mathbb Z^dZd, many questions and a few answers, Electron. Commun. Probab., 1996. https://doi.org/10.1214/ECP.v1-978
  • I. Benjamini, R. Lyons, Y. Peres, O. Schramm, Critical percolation on any nonamenable group has no infinite clusters, Ann. Probab., 1999. https://doi.org/10.1214/aop/1022677450
  • T. Hutchcroft, Critical percolation on any quasi-transitive graph of exponential growth has no infinite clusters, C. R. Math., 2016. https://doi.org/10.1016/j.crma.2016.07.013
  • J. Hermon, T. Hutchcroft, No percolation at criticality on certain groups of intermediate growth, IMRN, 2021. https://doi.org/10.1093/imrn/rnz265
  • R. Tessera, M. C. H. Tointon, A finitary structure theorem for vertex-transitive graphs of polynomial growth, Combinatorica, 2021. https://doi.org/10.1007/s00493-020-4295-6
  • G. Kozma, S. Nitzan, A reduction of the θ(p_c)=0 problem to a conjectured inequality, preprint, 2024. https://arxiv.org/abs/2401.12397
  • T. Hara, G. Slade, Mean-field critical behaviour for percolation in high dimensions, Comm. Math. Phys., 1990. https://doi.org/10.1007/BF02108785
  • H. Kesten, The critical probability of bond percolation on the square lattice equals 1/2, Comm. Math. Phys., 1980. https://doi.org/10.1007/BF01197577
  • Á. Timár, Percolation on nonunimodular transitive graphs, Ann. Probab., 2006. https://doi.org/10.1214/009117906000000494
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CombinatoricsGroup TheoryRepresentation Theory·Captain: wurtle

Universal Tensor Squares for Symmetric GroupsResearch Paper

Motivation: tensor squares that contain everything

The irreducible complex representations of the symmetric group SnS_nSn​ are indexed by partitions λ⊢n\lambda\vdash nλ⊢n and written SλS^\lambdaSλ (Specht modules). Decomposing a tensor product Sλ⊗SμS^\lambda\otimes S^\muSλ⊗Sμ (with the diagonal action) into irreducibles is governed by the Kronecker coefficients

g(λ,μ,ν)=dim⁡Hom⁡Sn ⁣(Sν, Sλ⊗Sμ),g(\lambda,\mu,\nu)=\dim\operatorname{Hom}_{S_n}\!\big(S^\nu,\,S^\lambda\otimes S^\mu\big),g(λ,μ,ν)=dimHomSn​​(Sν,Sλ⊗Sμ),

which have no known positive combinatorial formula and are a central open topic in algebraic combinatorics and geometric complexity theory. A basic test of how far tensor products spread is the tensor square conjecture: in every degree (with a few exceptions) some single irreducible representation has a tensor square containing every irreducible representation.

Timeline

  • 2012 — Saxl proposes (UCLA Combinatorics Seminar, 20 March 2012) that the staircase ρm=(m,m−1,…,1)\rho_m=(m,m-1,\dots,1)ρm​=(m,m−1,…,1) at triangular degree n=m(m+1)/2n=m(m+1)/2n=m(m+1)/2 has this property; recorded by Pak, Panova and Vallejo.
  • 2013 — Heide, Saxl, Tiep and Zalesski conjecture an analogous covering property for alternating simple groups (HSTZ 2013, Rem. 1.3(3)).
  • 2013/2016 — Pak, Panova and Vallejo state the tensor square conjecture for n≥3n\ge3n≥3, n≠4,9n\ne4,9n=4,9, and the Saxl conjecture, and give a character-nonvanishing criterion (PPV 2016, Conj. 1.1–1.2, Lemma 1.3).
  • 2015 — Ikenmeyer proves the staircase assertion for all ν\nuν comparable with the staircase in dominance order (Ikenmeyer 2015, Thm 2.1).
  • 2017 — Luo and Sellke: staircase squares contain almost all partitions, and fourth powers cover everything in large degree (Luo–Sellke 2017).
  • 2018 — Bessenrodt: all double-hook constituents (Bessenrodt 2018, Thm 4.10).
  • 2021 — Li: the triple-hook case, and a conjectured family for nontriangular degrees (Li 2021).
  • 2023 — Harman and Ryba: staircase tensor cubes contain everything (Harman–Ryba 2023, Thm 1.1).
  • 2026 — An OpenAI preprint, Universal Tensor Squares for Symmetric Groups (OpenAI Math Release, September 24, 2026), claims the tensor square conjecture for every n∉{2,4,9}n\notin\{2,4,9\}n∈/{2,4,9}, building on a companion preprint that proves Saxl's conjecture in a cyclic form. Neither preprint is peer reviewed and the main theorem is not formally verified; its proof uses exact computer calculations for degrees up to 646464.

Setting

For a Young diagram λ\lambdaλ with nnn cells, fix a bijection ttt between {0,…,n−1}\{0,\dots,n-1\}{0,…,n−1} and the cells (a tableau). The Lean development realizes SλS^\lambdaSλ inside the space of functions on words Fin n→Fin d\mathrm{Fin}\,n\to\mathrm{Fin}\,dFinn→Find (ddd = number of rows), with SnS_nSn​ acting by permuting letters: the polytabloid ete_tet​ is the signed sum, over the column group of ttt, of the permuted indicator of the row word of ttt, and Specht t is the C\mathbb CC-span of the SnS_nSn​-orbit of ete_tet​. The Kronecker coefficient kronecker a b t is finrank of the space of SnS_nSn​-intertwining maps from spechtRep t to the tensor product spechtRep a ⊗ spechtRep b. canonicalTableau λ is a fixed tableau of shape λ\lambdaλ.

Formalization targets

Goal: a universal tensor square in every degree n∉{2,4,9}n\notin\{2,4,9\}n∈/{2,4,9}

For every positive integer nnn with n≠2,4,9n\ne2,4,9n=2,4,9 there is a partition λ⊢n\lambda\vdash nλ⊢n such that

g(λ,λ,ν)>0for every ν⊢n,g(\lambda,\lambda,\nu)>0\qquad\text{for every }\nu\vdash n ,g(λ,λ,ν)>0for every ν⊢n,

so the tensor square Sλ⊗SλS^\lambda\otimes S^\lambdaSλ⊗Sλ contains every irreducible representation of SnS_nSn​. The Lean statement asserts, for one Young diagram λ\lambdaλ with nnn cells: positivity of kronecker for every target diagram ν\nuν with nnn cells; irreducibility of spechtRep for λ\lambdaλ; and that every finite-dimensional irreducible complex representation of SnS_nSn​ admits an injective intertwining map into Sλ⊗SλS^\lambda\otimes S^\lambdaSλ⊗Sλ. This is Theorem 1.1 of the source together with its "thus" sentence. The goal is published on the platform with status Open.

Significance

The result itself. The theorem settles the tensor square conjecture of Pak, Panova and Vallejo, including all nontriangular degrees. Since the sign representation occurs, the chosen λ\lambdaλ must be self-conjugate. Via Letellier's results it also gives tensor squares of unipotent characters of GLn(Fq)\mathrm{GL}_n(\mathbb F_q)GLn​(Fq​) that contain every unipotent character (Corollary 1.2 of the source). The companion cyclic Saxl theorem is used as input at staircase degrees.

Formalizing it. The proof combines representation-theoretic constructions with exact finite computations (Murnaghan–Nakayama recursion for all eligible n≤64n\le64n≤64, and capacity calculations), which the source certifies by included programs. A formal proof would replace these with checked computation and would require building Specht modules, Kronecker coefficients and branching rules in Lean, infrastructure Mathlib currently lacks.

Difficulty

Knowing that a smaller staircase square contains every constituent does not transfer to an enlarged diagram: constituents must survive a map from the actual enlarged tensor square, and the attached cells introduce alternating terms that can cancel. Almost-all or higher-power results (Luo–Sellke, Harman–Ryba) do not give a universal square. Small degrees cannot be handled by asymptotic estimates and require exact Kronecker computations, and n=2,4,9n=2,4,9n=2,4,9 are genuine exceptions.

Formalization scope

  • Partitions are Mathlib YoungDiagrams with card = n; the representation space is (Fin n → Fin d) → ℂ, and Specht t is the cyclic span of one polytabloid. kronecker is Module.finrank ℂ of Representation.IntertwiningMap, so it is the genuine multiplicity of SνS^\nuSν in the tensor square.
  • The third conjunct quantifies over all finite-dimensional complex irreducible representations in a fixed universe; proving it requires that every irreducible of SnS_nSn​ is isomorphic to some Specht module. The second conjunct (irreducibility of SλS^\lambdaSλ) is a standard fact the source uses implicitly.
  • n>0n>0n>0 and n≠2,4,9n\ne2,4,9n=2,4,9 match the source; n=1n=1n=1 is trivial.
  • Needed infrastructure: Specht module theory (irreducibility, completeness), characters and Murnaghan–Nakayama, Littlewood–Richardson branching, verified computation for n≤64n\le 64n≤64. The Specht and Kronecker layer is shared with the companion Saxl mission.

Selected references

  • I. Pak, G. Panova and E. Vallejo, Kronecker products, characters, partitions, and the tensor square conjectures, Adv. Math. 288 (2016), 702–731. https://doi.org/10.1016/j.aim.2015.11.002
  • G. Heide, J. Saxl, P. H. Tiep and A. E. Zalesski, Conjugacy action, induced representations and the Steinberg square for simple groups of Lie type, Proc. London Math. Soc. 106 (2013), 908–930. https://doi.org/10.1112/plms/pds062
  • C. Ikenmeyer, The Saxl conjecture and the dominance order, Discrete Math. 338 (2015), 1970–1975. https://doi.org/10.1016/j.disc.2015.04.027
  • S. Luo and M. Sellke, The Saxl conjecture for fourth powers via the semigroup property, J. Algebraic Combin. 45 (2017), 33–80. https://arxiv.org/abs/1511.02387v2
  • C. Bessenrodt, Critical classes, Kronecker products of spin characters, and the Saxl conjecture, Algebr. Comb. 1 (2018), 353–369. https://doi.org/10.5802/alco.18
  • X. Li, Saxl Conjecture for triple hooks, Discrete Math. 344 (2021), 112340. https://doi.org/10.1016/j.disc.2021.112340
  • N. Harman and C. Ryba, A tensor-cube version of the Saxl conjecture, Algebr. Comb. 6 (2023), 507–511. https://doi.org/10.5802/alco.267
  • E. Letellier, Tensor products of unipotent characters of general linear groups over finite fields, Transform. Groups 18 (2013), 233–262. https://doi.org/10.1007/s00031-013-9211-3
  • OpenAI, A Cyclic Polytabloid Proof of Saxl's Conjecture, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Cyclic-Polytabloid-Proof-of-Saxls-Conjecture-September-24-2026/paper.pdf
  • OpenAI, Universal Tensor Squares for Symmetric Groups, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 2). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Universal-Tensor-Squares-for-Symmetric-Groups-September-24-2026/main.pdf
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CombinatoricsGraph TheoryTheoretical Computer Science·Captain: wurtle

A polynomial-time construction of strong thin treesResearch Paper

Motivation

A thin spanning tree of a graph is a spanning tree that uses only a small fraction of the edges of every cut. Thin trees were introduced for the asymmetric traveling salesman problem: Asadpour, Goemans, Mądry, Oveis Gharan and Saberi showed that a thin tree of low cost can be augmented into a cheap tour, giving an O(log⁡n/log⁡log⁡n)O(\log n/\log\log n)O(logn/loglogn)-approximation (doi:10.1287/opre.2017.1603). Goddyn conjectured that high edge connectivity forces thin trees; the strong thin tree conjecture asks for thinness C/kC/kC/k in every kkk-edge-connected multigraph. For applications one wants not just existence but an efficient algorithm that finds such a tree, also when parallel-edge multiplicities are huge and written in binary.

Background. The maximum-entropy rounding of Asadpour et al. constructs O(log⁡n/(klog⁡log⁡n))O(\log n/(k\log\log n))O(logn/(kloglogn))-thin trees. Oveis Gharan and Saberi constructed O(1/k)O(1/k)O(1/k)-thin trees on planar and bounded-genus graphs (2011, doi:10.1137/1.9781611973082.75). Anari and Oveis Gharan proved existence of poly(log⁡log⁡n)/k\mathrm{poly}(\log\log n)/kpoly(loglogn)/k-thin trees in general (2015, arXiv:1411.4613), without a polynomial-time construction. Klein and Olver (2023, doi:10.1109/FOCS57990.2023.00011) and Klein, Olver and Yeoh (2026, doi:10.4230/LIPIcs.ICALP.2026.129) handled laminar families and near-minimum cuts. A companion OpenAI preprint claims the existence statement of the strong conjecture.

The source of this mission, an OpenAI preprint dated September 23, 2026, claims a deterministic polynomial-time construction.

Setting

Graphs are finite undirected loopless multigraphs; parallel copies count separately. For ∅≠S⊊V(G)\varnothing\ne S\subsetneq V(G)∅=S⊊V(G), δG(S)\delta_G(S)δG​(S) is the multiset of edges with exactly one endpoint in SSS, and GGG is kkk-edge-connected if ∣δG(S)∣≥k|\delta_G(S)|\ge k∣δG​(S)∣≥k for every such SSS. A spanning tree TTT is α\alphaα-thin if ∣δT(S)∣≤α∣δG(S)∣|\delta_T(S)|\le\alpha|\delta_G(S)|∣δT​(S)∣≤α∣δG​(S)∣ for all such SSS. Two input formats are allowed: an explicit list of labelled edge copies, or a list of endpoint pairs with multiplicities written in binary (so the number of edges can be exponential in the input length). Running time is measured in the total binary input length.

Formalization targets

Goal: Theorem 1.1 (algorithmic strong thin trees)

There is an absolute constant CCC and a deterministic algorithm that, given k≥1k\ge1k≥1 and a kkk-edge-connected multigraph GGG on at least one vertex (in either format), returns in time polynomial in the input length a spanning tree TTT with

∣δT(S)∣≤Ck ∣δG(S)∣(∅≠S⊊V(G)),|\delta_T(S)|\le\frac Ck\,|\delta_G(S)|\qquad(\varnothing\ne S\subsetneq V(G)),∣δT​(S)∣≤kC​∣δG​(S)∣(∅=S⊊V(G)),

returning the empty tree for a one-vertex graph. Lean: OAI.AlgorithmicThinTrees.algorithmic_strong_thin_trees, open on the platform.

Significance

The theorem would give an algorithmic resolution of the strong thin tree conjecture: not only do C/kC/kC/k-thin trees exist, they can be found deterministically in polynomial time, even for exponentially many parallel edges. It also yields simultaneous cost-and-cut rounding (Corollary 7.1): from a fractional point whose mass on every cut is at least one, a tree in its support with every cut load and total cost within constant factors, with no metric assumption on costs. The order 1/k1/k1/k is optimal. The result is claimed in an OpenAI preprint that has not been peer reviewed; no machine-checked proof exists.

Difficulty

Existence proofs for thin trees go through the Marcus–Spielman–Srivastava interlacing-families theorem and a fixed-point argument, neither of which is constructive: they show that some choice works without locating it. The algorithm must replace these by explicit, rational, polynomially sized computations (checked signings, rational positive semidefinite decompositions, bounded denominators) and must work with binary multiplicities, where even listing the edges is exponential. Certifying thinness on all exponentially many cuts must also be done without enumerating them.

Formalization scope

  • Graphs: StrongThinTree.MultiGraph n m (vertices Fin n, edges Fin m, loopless). Inputs are ExplicitInput or BinaryInput (ordered, distinct endpoint pairs with multiplicities); a binary input's edge copies are Σ i, Fin (multiplicity i).
  • Valid x: n≥1n\ge1n≥1, k≥1k\ge1k≥1 and EdgeConnected k.
  • The machine model is CurrentKS.Machine: a deterministic machine with finitely many binary stacks and a finite instruction table, run for a fuel bound. Inputs and outputs are self-delimiting binary encodings (CurrentKS.encodeNat).
  • AlgorithmicStrongThinTrees: ∃ C > 0, ∃ M a degree, 0 < a ∧ ∀ x, Valid x → after a * (len + 1)^degree steps M has halted and its output stack encodes a duplicate-free edge list forming a ThinTree C k; for n=1n=1n=1 the output is empty.
  • One machine and one polynomial serve all inputs in both formats.

Needed infrastructure: the existence theory of the companion mission, a model of deterministic computation with polynomial-time bounds, exact rational linear algebra, and constructive spectral sparsification. Contributions formalizing Proposition 2.5, Proposition 3.1, Lemma 6.1, Theorem A.1 (rational rank-one signing) or Corollary 7.1 are welcome.

Selected references

  • OpenAI, A polynomial-time construction of strong thin trees, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-polynomial-time-construction-of-strong-thin-trees-September-23-2026/paper.pdf
  • OpenAI, The strong thin tree conjecture, preprint, September 23, 2026.
  • A. Asadpour, M. X. Goemans, A. Mądry, S. Oveis Gharan, A. Saberi, An O(log n/log log n)-approximation algorithm for the asymmetric traveling salesman problem, Oper. Res., 2017. https://doi.org/10.1287/opre.2017.1603
  • N. Anari, S. Oveis Gharan, Effective-resistance-reducing flows, spectrally thin trees, and asymmetric TSP, FOCS, 2015. https://arxiv.org/abs/1411.4613
  • S. Oveis Gharan, A. Saberi, The asymmetric traveling salesman problem on graphs with bounded genus, SODA, 2011. https://doi.org/10.1137/1.9781611973082.75
  • N. Klein, N. Olver, Thin trees for laminar families, FOCS, 2023. https://doi.org/10.1109/FOCS57990.2023.00011
  • N. Klein, N. Olver, Z. S. Yeoh, Thin trees for near minimum cuts, ICALP, 2026. https://doi.org/10.4230/LIPIcs.ICALP.2026.129
  • O. Svensson, J. Tarnawski, L. A. Végh, A constant-factor approximation algorithm for the asymmetric traveling salesman problem, J. ACM, 2020. https://doi.org/10.1145/3424306
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CombinatoricsGraph TheoryRepresentation Theory·Captain: wurtle

Elementary positivity of chromatic quasisymmetric functionsResearch Paper

Motivation: the Shareshian–Wachs elementary-positivity conjecture

The chromatic symmetric function of a graph, introduced by Stanley, records all proper colorings of the graph with infinitely many colors as a symmetric function; it refines the chromatic polynomial. Whether it expands with nonnegative coefficients in the basis of elementary symmetric functions ("eee-positivity") is a central question in algebraic combinatorics. The Stanley–Stembridge conjecture (1993) predicted eee-positivity for incomparability graphs of (3+1)(3+1)(3+1)-free posets; it arose from positivity questions for immanants of Jacobi–Trudi matrices. Shareshian and Wachs introduced a qqq-graded refinement, the chromatic quasisymmetric function, which tracks ascents of colorings along edges, and conjectured that for natural unit interval graphs its elementary coefficients are polynomials in qqq with nonnegative integer coefficients. The qqq-refinement is tied to geometry: it describes the graded representation of the symmetric group on the cohomology of regular semisimple Hessenberg varieties.

Timeline

  • 1993 — Stanley and Stembridge formulate the eee-positivity conjecture for (3+1)(3+1)(3+1)-free posets (J. Combin. Theory Ser. A 1993); Haiman's immanant results imply Schur positivity (JAMS 1993).
  • 1995 — Stanley introduces the chromatic symmetric function (Adv. Math. 1995).
  • 1996 — Gasharov gives a positive Schur expansion via poset tableaux (Discrete Math. 1996).
  • 2012/2016 — Shareshian and Wachs introduce the chromatic quasisymmetric function, prove its symmetry and Schur positivity for natural unit interval graphs, and conjecture elementary positivity over N[q]\mathbb N[q]N[q] and the Hessenberg connection (Configuration Spaces 2012; Adv. Math. 2016).
  • 2013 — Guay-Paquet reduces the Stanley–Stembridge conjecture to unit interval orders (arXiv:1306.2400).
  • 2015 — Athanasiadis gives a power-sum expansion (Electron. J. Combin. 2015).
  • 2016–2018 — Brosnan–Chow (Adv. Math. 2018) and Guay-Paquet (arXiv:1601.05498) prove the Hessenberg representation identity.
  • 2019–2023 — Positivity for substantial subfamilies: abelian Hessenberg varieties (Harada–Precup 2019), explicit expansions (Cho–Huh 2019), melting lollipops (Huh–Nam–Yoo 2020), abelian Dyck paths via qqq-rook theory (Colmenarejo–Morales–Panova 2023); the modular law of Abreu and Nigro (J. Combin. Theory Ser. A 2021).
  • 2024–2025 — Hikita proves the Stanley–Stembridge conjecture (q=1q=1q=1) via a probabilistic formula (arXiv:2410.12758); his weights do not give coefficientwise positivity in N[q]\mathbb N[q]N[q]. Griffin, Mellit, Romero, Weigl and Wen give an independent proof (arXiv:2504.06936).
  • 2026 — The OpenAI preprint Elementary positivity of chromatic quasisymmetric functions (OpenAI Math Release, September 24, 2026) claims elementary positivity over N[q]\mathbb N[q]N[q] for all natural unit interval graphs, with an explicit permutation witness. It has not been peer reviewed and its theorem is not formally verified.

Setting

Let h:[n]→[n]h:[n]\to[n]h:[n]→[n] be weakly increasing with i≤h(i)i\le h(i)i≤h(i). The natural unit interval graph G=G(h)G=G(h)G=G(h) has vertices [n]={1,…,n}[n]=\{1,\dots,n\}[n]={1,…,n} and edges {i,j}\{i,j\}{i,j} with i<j≤h(i)i<j\le h(i)i<j≤h(i). A proper coloring f:[n]→N>0f:[n]\to\mathbb N_{>0}f:[n]→N>0​ gives different colors to adjacent vertices, and asc⁡G(f)\operatorname{asc}_G(f)ascG​(f) counts edges {a<b}\{a<b\}{a<b} with f(a)<f(b)f(a)<f(b)f(a)<f(b). The chromatic quasisymmetric function is

χG(X;q)=∑f properqasc⁡G(f)∏a=1nxf(a).\chi_G(X;q)=\sum_{f\ \text{proper}} q^{\operatorname{asc}_G(f)}\prod_{a=1}^n x_{f(a)} .χG​(X;q)=f proper∑​qascG​(f)a=1∏n​xf(a)​.

For a partition λ\lambdaλ, eλ=∏ieλie_\lambda=\prod_i e_{\lambda_i}eλ​=∏i​eλi​​ with ek=∑i1<⋯<ikxi1⋯xike_k=\sum_{i_1<\dots<i_k}x_{i_1}\cdots x_{i_k}ek​=∑i1​<⋯<ik​​xi1​​⋯xik​​. Let DG0D^0_GDG0​ be the set of permutations σ\sigmaσ (as words σ1⋯σn\sigma_1\cdots\sigma_nσ1​⋯σn​) such that every adjacent descent σi>σi+1\sigma_i>\sigma_{i+1}σi​>σi+1​ is an edge, and ginv⁡G(σ)\operatorname{ginv}_G(\sigma)ginvG​(σ) the number of inversions i<ji<ji<j, σi>σj\sigma_i>\sigma_jσi​>σj​, with {σi,σj}\{\sigma_i,\sigma_j\}{σi​,σj​} an edge.

In Lean (namespace OAI.ElementaryPositivity), NaturalUnitIntervalGraph n stores a monotone extensive h : Fin n → Fin n; chromatic r is χG\chi_GχG​ in rrr variables as an MvPolynomial (Fin r) (Polynomial ℕ); Nondescent and graphInversions define DG0D^0_GDG0​ and ginv⁡G\operatorname{ginv}_GginvG​; a PermutationWitness is a map θ:DG0→{λ⊢n}\theta:D^0_G\to\{\lambda\vdash n\}θ:DG0​→{λ⊢n} together with the identity below in every number rrr of variables, using Mathlib's MvPolynomial.esymmPart.

Formalization targets

Goal: elementary positivity with a permutation witness (Theorem 1.1)

For every nnn and every natural unit interval graph GGG on [n][n][n] there is a map θG:DG0→{λ⊢n}\theta_G:D^0_G\to\{\lambda\vdash n\}θG​:DG0​→{λ⊢n} with

χG(X;q)=∑σ∈DG0qginv⁡G(σ) eθG(σ)(X).\chi_G(X;q)=\sum_{\sigma\in D^0_G} q^{\operatorname{ginv}_G(\sigma)}\,e_{\theta_G(\sigma)}(X).χG​(X;q)=σ∈DG0​∑​qginvG​(σ)eθG​(σ)​(X).

In particular every elementary coefficient of χG\chi_GχG​ lies in N[q]\mathbb N[q]N[q]. The goal is published on the platform with status Open.

Significance

The result itself. The theorem resolves the elementary-positivity part of the Shareshian–Wachs conjecture, and at q=1q=1q=1, via Guay-Paquet's reduction, recovers the Stanley–Stembridge conjecture first proved by Hikita. It is stronger than positivity: it gives a combinatorial witness, assigning each permutation of DG0D^0_GDG0​ an elementary partition while preserving its graph-inversion weight. Through the Brosnan–Chow/Guay-Paquet identity, it implies that each graded piece of the cohomology of a regular semisimple Hessenberg variety is a direct sum of Young permutation modules with multiplicities counted by the witness (Corollary 1.2). Elementary unimodality, the other part of the Shareshian–Wachs conjecture, is not addressed.

Formalizing it. The statement is a finite polynomial identity for each nnn, GGG and rrr, fully expressible with Mathlib's multivariate polynomials and elementary symmetric polynomials. A machine-checked proof would certify a long bijective argument (walls, triangle moves, witness completion) with many case distinctions.

Difficulty

The coloring definition already has nonnegative coefficients in the monomial basis, but rewriting in the elementary basis involves subtraction, so positivity is not visible from the definition. Earlier positive formulas (Schur expansions, power-sum expansions, the acyclic-orientation formula) group partitions or work at q=1q=1q=1, and Hikita's probabilistic formula has rational qqq-weights that are only positive at real q>0q>0q>0, not coefficientwise. A proof over N[q]\mathbb N[q]N[q] must produce, for each elementary partition and each power of qqq, a nonnegative integer count, uniformly over all graphs.

Formalization scope

  • Graphs are encoded by h : Fin n → Fin n monotone with i ≤ h i (zero-indexed); edges are i<j≤h(i)i<j\le h(i)i<j≤h(i) in either order.
  • Colorings use rrr colors Fin r and the identity is required for every r∈Nr\in\mathbb Nr∈N, which is equivalent to the identity of symmetric functions since both sides are homogeneous of degree nnn.
  • Coefficients live in Polynomial ℕ, so nonnegativity in N[q]\mathbb N[q]N[q] is built into the statement; the witness theta is an arbitrary function on the finite set DG0D^0_GDG0​. The source's additional assertion that θG\theta_GθG​ is produced by a deterministic terminating procedure is not encoded, but any such function on a finite set is computable by search, so nothing of mathematical substance is lost.
  • Needed infrastructure: symmetric functions in finitely many variables, elementary basis manipulations, and bijections on ordered independent-set collections. These are reusable for other chromatic-function and LLT-positivity problems.

Selected references

  • R. P. Stanley and J. R. Stembridge, On immanants of Jacobi–Trudi matrices and permutations with restricted position, J. Combin. Theory Ser. A 62 (1993). https://doi.org/10.1016/0097-3165(93)90048-D
  • R. P. Stanley, A symmetric function generalization of the chromatic polynomial of a graph, Adv. Math. 111 (1995), 166–194. https://doi.org/10.1006/aima.1995.1020
  • J. Shareshian and M. L. Wachs, Chromatic quasisymmetric functions, Adv. Math. 295 (2016). https://doi.org/10.1016/j.aim.2015.12.018
  • M. Guay-Paquet, A modular law for the chromatic symmetric functions of (3+1)-free posets, arXiv:1306.2400 (2013). https://arxiv.org/abs/1306.2400v1
  • P. Brosnan and T. Y. Chow, Unit interval orders and the dot action on the cohomology of regular semisimple Hessenberg varieties, Adv. Math. 329 (2018), 955–1001. https://doi.org/10.1016/j.aim.2018.02.020
  • A. Abreu and A. Nigro, Chromatic symmetric functions from the modular law, J. Combin. Theory Ser. A 180 (2021). https://doi.org/10.1016/j.jcta.2021.105407
  • T. Hikita, A proof of the Stanley–Stembridge conjecture, arXiv:2410.12758 (2024, revised 2025). https://arxiv.org/abs/2410.12758v2
  • S. T. Griffin, A. Mellit, M. Romero, K. Weigl and J. J. Wen, On Macdonald expansions of q-chromatic symmetric functions and the Stanley–Stembridge conjecture, arXiv:2504.06936 (2025). https://arxiv.org/abs/2504.06936v1
  • OpenAI, Elementary positivity of chromatic quasisymmetric functions, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 2; Corollary 1.2, p. 4). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Elementary-Positivity-of-Chromatic-Quasisymmetric-Functions-September-24-2026/paper.pdf
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CombinatoricsGraph Theory·Captain: wurtle

A counterexample to Ryser's covering conjectureResearch Paper

Motivation

A vertex cover of a hypergraph HHH is a set of vertices meeting every edge; the covering number τ(H)\tau(H)τ(H) is the minimum size of a cover, and the matching number ν(H)\nu(H)ν(H) is the maximum number of pairwise disjoint edges. In an rrr-partite rrr-uniform hypergraph the vertices are split into rrr parts and every edge contains exactly one vertex from each part. Ryser's covering conjecture asserts

τ(H)≤(r−1) ν(H).\tau(H)\le(r-1)\,\nu(H).τ(H)≤(r−1)ν(H).

For r=2r=2r=2 it is Kőnig's theorem, so it proposes a higher-dimensional analogue of the most basic min–max theorem of bipartite matching theory. In the intersecting case (ν=1\nu=1ν=1) it asks for a cover of size r−1r-1r−1, and it is equivalent to Gyárfás's conjecture that r−1r-1r−1 monochromatic trees cover any rrr-edge-coloured complete graph.

Background. An equivalent formulation appears in Henderson's 1971 thesis (doi:10.7907/J1Z1-SK19). Aharoni proved the case r=3r=3r=3 in 2001 (doi:10.1007/s004930170001); Gyárfás and Tuza settled the intersecting case through r=5r=5r=5; Haxell and Scott (2012) proved τ≤(r−ϵ)ν\tau\le(r-\epsilon)\nuτ≤(r−ϵ)ν for r=4,5r=4,5r=4,5 (doi:10.37236/1175); Francetić, Herke, McKay and Wanless (2017) handled linear intersecting hypergraphs through rank nine (doi:10.1016/j.ejc.2016.10.004); Bishnoi, Das, Morris and Szabó (2021) treated ttt-intersecting hypergraphs (doi:10.1016/j.jcta.2020.105366). Truncated projective planes give equality whenever r−1r-1r−1 is a prime power; equality examples were studied by Mansour, Song and Yuster (2009, doi:10.1007/s00373-008-0821-9), Aharoni, Barát and Wanless (2016, doi:10.1007/s00373-015-1575-9) and Abu-Khazneh, Barát, Pokrovskiy and Szabó (2019, doi:10.1016/j.jcta.2018.07.011). Clow, Haxell and Mohar disproved Lovász's stronger matching-reduction conjecture at r=3r=3r=3 (doi:10.1007/s00493-026-00220-3), without contradicting Ryser's inequality.

The source of this mission, an OpenAI preprint dated September 23, 2026, claims intersecting counterexamples for ranks r=sn+1r=s^n+1r=sn+1.

Setting

A finite hypergraph is a finite set of edges, each a finite set of vertices. It is rrr-partite rrr-uniform if there is a map assigning each vertex one of rrr parts such that every edge contains exactly one vertex of each part. It is intersecting if it is nonempty and any two distinct edges share a vertex, so ν(H)=1\nu(H)=1ν(H)=1. Every edge of an intersecting hypergraph is itself a cover, so τ(H)≤r\tau(H)\le rτ(H)≤r always; a counterexample to Ryser's conjecture in the intersecting case needs τ(H)=r\tau(H)=rτ(H)=r.

Formalization targets

Milestone: special case of Theorem 1.1

There are a prime p>5p>5p>5 with p≡2(mod3)p\equiv2\pmod3p≡2(mod3) and NNN such that for every prime n≥Nn\ge Nn≥N, n>2n>2n>2, an intersecting (pn+1)(p^n+1)(pn+1)-partite (pn+1)(p^n+1)(pn+1)-uniform hypergraph with ν=1\nu=1ν=1 and τ=pn+1\tau=p^n+1τ=pn+1 exists.

Goal: Theorem 1.1

There is s0s_0s0​ such that for every prime s≥s0s\ge s_0s≥s0​ with s≡2(mod3)s\equiv2\pmod 3s≡2(mod3) there is n0(s)≥3n_0(s)\ge3n0​(s)≥3 such that for every odd n≥n0(s)n\ge n_0(s)n≥n0​(s), with q=snq=s^nq=sn, there is a finite intersecting (q+1)(q+1)(q+1)-partite (q+1)(q+1)(q+1)-uniform hypergraph HHH with

τ(H)=q+1>q=(r−1) ν(H).\tau(H)=q+1>q=(r-1)\,\nu(H).τ(H)=q+1>q=(r−1)ν(H).

In particular infinitely many ranks fail. Lean: OAI.RyserOdd.eventualOddFailures_and_infinite, open on the platform.

Significance

The theorem would disprove Ryser's conjecture in its intersecting case, and through the standard transfer (Corollary 1.2) also Gyárfás's monochromatic tree-cover conjecture, for the ranks sn+1s^n+1sn+1. The value τ=r\tau=rτ=r is the maximum possible. A companion preprint of the same family covers a different range of ranks (prime qqq, with balanced parts); the two constructions are independent apart from three elementary estimates. Thresholds are not numerical. The result is claimed in an OpenAI preprint that has not been peer reviewed; no machine-checked proof exists.

Difficulty

The truncated-plane examples sit exactly at τ=r−1\tau=r-1τ=r−1, and covers may mix vertices from different parts, so enlarging individual parts does not help. One must insert exceptional edges that destroy every cover of size qqq while preserving the intersecting property. Ruling out all small covers requires showing that any small cover contains almost a full pencil of lines, which over Fsn\mathbb F_{s^n}Fsn​ needs an incidence bound with a power saving (a Bourgain–Katz–Tao-type sum–product estimate) valid in fields whose proper subfields are small. This is where odd exponents and the congruence s≡2(mod3)s\equiv2\pmod3s≡2(mod3) enter.

Formalization scope

  • Hypergraph V := Finset (Finset V) over a finite type V with decidable equality.
  • RPartiteUniform r H: some part : V → Fin r with exactly one vertex of each part in every edge. Uniform r H: every edge has r vertices.
  • Intersecting: distinct edges meet. matchingNumber is the maximal size of a pairwise disjoint subfamily; coverNumber is sInf of cover sizes, and existence of a cover is asserted separately so the sInf is not the empty-set default.
  • ExplicitFailureAt r packages all of these with ν=1\nu=1ν=1, τ=r\tau=rτ=r and (r−1)ν<τ(r-1)\nu<\tau(r−1)ν<τ; the goal asserts it for the stated ranks and that the set of failing ranks is infinite.

Needed infrastructure: finite fields Fsn\mathbb F_{s^n}Fsn​ and their projective planes, incidence and sum–product estimates, and probabilistic selection arguments. Contributions formalizing Theorem 2.1 (uniform incidence saving), Lemma 3.2 (line covers after random deletions) or Theorem 4.1 (compatible translates from independent pools) are welcome.

Selected references

  • OpenAI, A counterexample to Ryser's covering conjecture, preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-Counterexample-to-Rysers-Covering-Conjecture-September-23-2026/paper.pdf
  • J. R. Henderson, Permutation decompositions of (0,1)-matrices and decomposition transversals, PhD thesis, 1971. https://doi.org/10.7907/J1Z1-SK19
  • R. Aharoni, Ryser's conjecture for tripartite 3-graphs, Combinatorica, 2001. https://doi.org/10.1007/s004930170001
  • P. Haxell, A. Scott, On Ryser's conjecture, Electron. J. Combin., 2012. https://doi.org/10.37236/1175
  • N. Francetić, S. Herke, B. D. McKay, I. M. Wanless, On Ryser's conjecture for linear intersecting multipartite hypergraphs, European J. Combin., 2017. https://doi.org/10.1016/j.ejc.2016.10.004
  • A. Abu-Khazneh, J. Barát, A. Pokrovskiy, T. Szabó, A family of extremal hypergraphs for Ryser's conjecture, J. Combin. Theory Ser. A, 2019. https://doi.org/10.1016/j.jcta.2018.07.011
  • J. Bourgain, N. Katz, T. Tao, A sum-product estimate in finite fields, and applications, Geom. Funct. Anal., 2004. https://doi.org/10.1007/s00039-004-0451-1
  • A. Clow, P. Haxell, B. Mohar, A counterexample to a conjecture of Lovász, Combinatorica, 2026. https://doi.org/10.1007/s00493-026-00220-3
  • OpenAI, Balanced counterexamples to Ryser's conjecture at prime orders, preprint, September 27, 2026.
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Operations ResearchTheoretical Computer Science·Captain: wurtle

Single-exponential recovery and bounded-price strictness for metric k-medianResearch Paper

Motivation

In metric kkk-median, a finite set JJJ (or DDD) of clients and a finite set FFF of candidate facilities lie in a common finite metric with rational distances. Given an integer k≥1k\ge1k≥1, one opens a nonempty set S⊆FS\subseteq FS⊆F with ∣S∣≤k|S|\le k∣S∣≤k and pays

cost(S)=∑j∈Jd(j,S),d(j,S)=min⁡i∈Sd(j,i),OPTk=min⁡S⊆F, 1≤∣S∣≤kcost(S).\mathrm{cost}(S)=\sum_{j\in J}d(j,S),\qquad d(j,S)=\min_{i\in S}d(j,i),\qquad \mathrm{OPT}_k=\min_{S\subseteq F,\ 1\le|S|\le k}\mathrm{cost}(S).cost(S)=j∈J∑​d(j,S),d(j,S)=i∈Smin​d(j,i),OPTk​=S⊆F, 1≤∣S∣≤kmin​cost(S).

Candidate facilities are part of the input and need not coincide with the clients. It is one of the basic clustering and facility-location objectives, and its approximability has been a testing ground for LP rounding, primal-dual methods and local search. The hard part of the problem is the facility budget: a solution with small connection cost is much easier to find if a few extra facilities may be opened, and every approximation algorithm must eventually enforce ∣S∣≤k|S|\le k∣S∣≤k on its output.

This mission concerns two tools for enforcing that budget and their combination into a randomized approximation strictly below factor 222 on arbitrary finite rational metrics, 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

  • 2001–2002 — Jain and Vazirani connect kkk-median to facility location by Lagrangian relaxation and primal-dual methods (J. ACM 2001); Charikar, Guha, Tardos and Shmoys give the first constant-factor approximation by LP rounding (JCSS 2002); Jain, Mahdian and Saberi introduce greedy dual fitting (STOC 2002; J. ACM 2003).
  • 2004 — Arya et al. show that bounded-swap local search achieves 3+ε3+\varepsilon3+ε (SICOMP 2004).
  • 2016 — Li and Svensson show that constant-additive pseudo-approximations can be converted to true approximations at arbitrarily small loss, breaking the factor-333 barrier (SICOMP 2016).
  • 2017–2023 — Bi-point rounding: 2.675+ε2.675+\varepsilon2.675+ε (Byrka et al., TALG 2017) and 2.6132.6132.613 (Gowda et al., SODA 2023).
  • 2019 — Cohen-Addad, Gupta, Kumar, Lee and Li give a tight FPT (1+2/e+ε)(1+2/e+\varepsilon)(1+2/e+ε)-approximation in time kO(k)polyk^{O(k)}\mathrm{poly}kO(k)poly (ICALP 2019).
  • 2025–2026 — Cohen-Addad, Grandoni, Lee, Schwiegelshohn and Svensson reach 2+ε2+\varepsilon2+ε (arXiv:2503.10972); Byrka et al. develop iterative randomized rounding with 2+ε2+\varepsilon2+ε (arXiv:2604.06046).
  • September 2026 — Two OpenAI preprints claim a deterministic (1+2/e+ε)(1+2/e+\varepsilon)(1+2/e+ε)-approximation, matching the known hardness threshold (source), and an independent randomized (2−σ)(2-\sigma)(2−σ)-approximation via anchor recovery and bounded-price strictness (source).

Setting

Write n=∣D∣n=|D|n=∣D∣ and N=∣D∣+∣F∣N=|D|+|F|N=∣D∣+∣F∣. A comparison solution O⊆FO\subseteq FO⊆F of size hhh assigns each client to a nearest member of OOO (ties broken by fixed priorities); CiC_iCi​ is the cluster of i∈Oi\in Oi∈O and Pi=∑p∈Cid(p,i)P_i=\sum_{p\in C_i}d(p,i)Pi​=∑p∈Ci​​d(p,i), with P=cost(O)P=\mathrm{cost}(O)P=cost(O). An anchor is a supplied feasible S⊆FS\subseteq FS⊆F with ∣S∣=h|S|=h∣S∣=h. A certificate partitions OOO into good and bad centres and gives distinct proxies φi∈S\varphi_i\in Sφi​∈S for the good centres. A randomized polynomial-time algorithm is a polynomial-time multi-stack Turing machine that reads the encoded instance together with a string of fair random bits whose length is a fixed polynomial in the input length.

Formalization targets

Milestone: refined recovery (Theorem 1.1, p. 2)

Let D,FD,FD,F be disjoint, with distances between distinct indices positive integers bounded by a fixed polynomial in NNN. Fix ε>0\varepsilon>0ε>0, 0<L0<∞0<L_0<\infty0<L0​<∞ and a rational 0<μ≤min⁡{1/4,ε/12}0<\mu\le\min\{1/4,\varepsilon/12\}0<μ≤min{1/4,ε/12}. There is a randomized algorithm that, given an anchor SSS with ∣S∣=h≥1|S|=h\ge1∣S∣=h≥1 and a failure parameter ζ∈(0,1)\zeta\in(0,1)ζ∈(0,1), always returns S^⊆F\hat S\subseteq FS^⊆F with ∣S^∣≤h|\hat S|\le h∣S^∣≤h, runs in time polynomial in NNN and log⁡(1/ζ)\log(1/\zeta)log(1/ζ), and, whenever some comparison solution OOO of size hhh and cost P>0P>0P>0 admits a certificate with

∑i good∑p∈Cid(p,φi)≤∑i goodPi+μP,#{i bad}≤L0log⁡N,\sum_{i\ \mathrm{good}}\sum_{p\in C_i}d(p,\varphi_i)\le \sum_{i\ \mathrm{good}}P_i+\mu P,\qquad \#\{i\ \mathrm{bad}\}\le L_0\log N,i good∑​p∈Ci​∑​d(p,φi​)≤i good∑​Pi​+μP,#{i bad}≤L0​logN,

satisfies cost(S^)≤(1+2/e+ε)P\mathrm{cost}(\hat S)\le(1+2/e+\varepsilon)Pcost(S^)≤(1+2/e+ε)P with probability at least 1−ζ1-\zeta1−ζ. The algorithm is not given OOO, PPP or the certificate.

Goal: global application (Theorem 1.2, p. 3)

There is an absolute constant σ>0\sigma>0σ>0 such that for every fixed a>0a>0a>0 some randomized polynomial-time algorithm for metric kkk-median always returns a feasible SSS (nonempty, S⊆FS\subseteq FS⊆F, ∣S∣≤k|S|\le k∣S∣≤k) and satisfies

Pr⁡[cost(S)≤(2−σ) OPTk] ≥ 1−(∣D∣+∣F∣+2)−a,E cost(S)≤(2−σ) OPTk.\Pr\bigl[\mathrm{cost}(S)\le(2-\sigma)\,\mathrm{OPT}_k\bigr]\ \ge\ 1-(|D|+|F|+2)^{-a},\qquad \mathbb E\,\mathrm{cost}(S)\le(2-\sigma)\,\mathrm{OPT}_k .Pr[cost(S)≤(2−σ)OPTk​] ≥ 1−(∣D∣+∣F∣+2)−a,Ecost(S)≤(2−σ)OPTk​.

Significance

The result itself. Theorem 1.1 makes the running time single-exponential in the number of clusters without accurate proxies, so logarithmically many exceptions are tractable; FPT methods with kO(k)k^{O(k)}kO(k) dependence do not give this by setting k=O(log⁡N)k=O(\log N)k=O(logN). Combined with a new proof of bounded-price strictness for one compatible execution of the logarithmic-surplus construction of Cohen-Addad, Grandoni, Lee, Schwiegelshohn and Svensson (Lemma 8.1, p. 43), it yields Theorem 1.2: a randomized approximation strictly below 222, both with high probability and in expectation, that opens at most kkk facilities on every output. A companion preprint proves a stronger deterministic (1+2/e+ε)(1+2/e+\varepsilon)(1+2/e+ε) bound by an independent route; Theorem 1.2's interest is the way recovery and payment accounting together enforce the budget.

Formalizing it. The statements are fully explicit about the machine model, the random bits, and the input encoding. A formal proof would need local-search anchoring (Theorem 3.3), leader/ball sampling with amortized radius guesses (Section 4), a finite categorical continuous-greedy algorithm with explicit error (Lemma 5.1, p. 21), the surplus construction as an external interface (Theorem 7.1, p. 35), and metric rounding and transfer (Lemma 2.1, p. 6). The submodular-optimization and local-search components are reusable.

Difficulty

Every factor-222 dual-fitting argument charges λ+2PC\lambda+2P_Cλ+2PC​ to a client set CCC served by a comparison facility, which gives exactly 222; improving the constant requires saving on connection cost while still paying for all hhh regular openings with one final price, one set of copy lengths and the budgets of one actual replay of the construction (Section 1.2, p. 3). On the recovery side, guessing a good solution from an anchor naively costs kO(k)k^{O(k)}kO(k); keeping the dependence single-exponential in the number of bad clusters requires interleaving leader sampling and removals and amortizing radius guesses over disjoint client sets (Section 4). Theorem 1.1 holds only for normalized integral metrics; the global application must construct its anchors after normalization and transfer the final cost bound back (Lemma 2.1, p. 6).

Formalization scope

  • RationalMetricInput: points Fin pointCount, a rational pseudometric table (zero on the diagonal, symmetric, triangle inequality), client and facility Finsets covering all points (they may overlap, so clients and facilities may share locations), a nonempty facility set and a positive budget kkk. Feasible S is S⊆FS\subseteq FS⊆F, ∣S∣≤k|S|\le k∣S∣≤k, and SSS nonempty when there are clients; optimum minimizes over nonempty subsets of size ≤k\le k≤k.
  • A BinaryRandomizedAlgorithm is a TM2ComputableInPolyTime function of (input bits, random bits) with finite alphabets, using randomBits.eval (input length) fair bits; probabilities and expectations are uniform averages over all seeds.
  • In the goal, feasibility holds for every seed; the success bound is 1−(N+2)−a1-(N+2)^{-a}1−(N+2)−a with N=∣D∣+∣F∣N=|D|+|F|N=∣D∣+∣F∣ (Real.rpow); the same algorithm must also satisfy the expectation bound.
  • In the milestone, Input adds disjointness of DDD and FFF, integral distances, positivity between distinct indices, and an anchor with anchor.card = budget; Bounded bound caps distances by a fixed polynomial in NNN; ζ is passed in unary precision ⌈log⁡2(1/ζ)⌉\lceil\log_2(1/\zeta)\rceil⌈log2​(1/ζ)⌉, and PolynomialWork bounds work by c(N+1)d(1+log⁡(1/ζ))dc(N+1)^d(1+\log(1/\zeta))^dc(N+1)d(1+log(1/ζ))d. A Certificate encodes OOO with ∣O∣=h|O|=h∣O∣=h, P>0P>0P>0, the good set, injective proxies into the anchor, the proxy-cost promise with lexicographic tie-breaking, and at most L0log⁡NL_0\log NL0​logN bad centres.

Selected references

  • OpenAI, Single-exponential recovery and bounded-price strictness for metric k-median, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Single-Exponential-Recovery-and-Bounded-Price-Strictness-for-Metric-k-Median-September-24-2026/paper.pdf
  • OpenAI, The approximation threshold for metric k-median, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/The-Approximation-Threshold-for-Metric-k-Median-September-24-2026/main.pdf
  • V. Cohen-Addad, F. Grandoni, E. Lee, C. Schwiegelshohn, Breaching the 2 LMP approximation barrier for facility location with applications to k-median, arXiv:2207.05150 (2026 version). https://arxiv.org/abs/2207.05150v2
  • V. Cohen-Addad, C. Schwiegelshohn, On the local structure of stable clustering instances, FOCS 2017. https://doi.org/10.1109/FOCS.2017.14
  • G. Călinescu, C. Chekuri, M. Pál, J. Vondrák, Maximizing a monotone submodular function subject to a matroid constraint, SIAM J. Comput. 40 (2011). https://doi.org/10.1137/080733991
  • J. Vondrák, Optimal approximation for the submodular welfare problem in the value oracle model, STOC 2008. https://doi.org/10.1145/1374376.1374389
  • K. Jain, M. Mahdian, E. Markakis, A. Saberi, V. V. Vazirani, Greedy facility location algorithms analyzed using dual fitting with factor-revealing LP, J. ACM 50 (2003). https://doi.org/10.1145/950620.950621
  • K. Jain, V. V. Vazirani, Approximation algorithms for metric facility location and k-median problems using the primal-dual schema and Lagrangian relaxation, J. ACM 48 (2001). https://doi.org/10.1145/375827.375845
  • M. Charikar, S. Guha, É. Tardos, D. B. Shmoys, A constant-factor approximation algorithm for the k-median problem, JCSS 65 (2002). https://doi.org/10.1006/jcss.2002.1882
  • V. Arya, N. Garg, R. Khandekar, A. Meyerson, K. Munagala, V. Pandit, Local search heuristics for k-median and facility location problems, SIAM J. Comput. 33 (2004). https://doi.org/10.1137/S0097539702416402
  • S. Li, O. Svensson, Approximating k-median via pseudo-approximation, SIAM J. Comput. 45 (2016). https://doi.org/10.1137/130938645
  • J. Byrka, T. Pensyl, B. Rybicki, A. Srinivasan, K. Trinh, An improved approximation for k-median and positive correlation in budgeted optimization, ACM TALG 13 (2017). https://doi.org/10.1145/2981561
  • V. Cohen-Addad, A. Gupta, A. Kumar, E. Lee, J. Li, Tight FPT approximations for k-median and k-means, ICALP 2019. https://doi.org/10.4230/LIPIcs.ICALP.2019.42
  • V. Cohen-Addad, F. Grandoni, E. Lee, C. Schwiegelshohn, O. Svensson, A (2+ε)-approximation algorithm for metric k-median, arXiv:2503.10972 (2026 version). https://arxiv.org/abs/2503.10972v2
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A Polynomial-Time Algorithm for Three-Machine Unit-Job SchedulingResearch Paper

Motivation

A set of unit-length jobs with precedence constraints is to be run on a fixed number of identical machines so that all jobs finish as early as possible. For two machines this was solved in 1969–1972; for a number of machines given as part of the input the problem is NP-complete (Ullman, 1975). Whether the problem is polynomial-time solvable for three machines, written P3∣prec,pj=1∣Cmax⁡P3\mid\mathrm{prec},p_j=1\mid C_{\max}P3∣prec,pj​=1∣Cmax​, is problem OPEN8 in the appendix of Garey and Johnson's 1979 book and is one of the best-known open questions on the complexity of scheduling.

Timeline

  • 1969–1971. Fujii, Kasami and Ninomiya solve the two-processor case by matching (doi:10.1137/0117070, erratum doi:10.1137/0120018).
  • 1972. Coffman and Graham give an optimal list-scheduling algorithm for two processors (doi:10.1007/BF00288685).
  • 1975. Ullman proves NP-completeness when the number of machines is part of the input (doi:10.1016/S0022-0000(75)80008-0).
  • 1979. Garey and Johnson list the fixed-three-machine problem as OPEN8; Graham, Lawler, Lenstra and Rinnooy Kan introduce the standard notation (doi:10.1016/S0167-5060(08)70356-X).
  • 1983. Garey, Johnson, Tarjan and Yannakakis give a linear-time algorithm on three processors for opposing forests (doi:10.1137/0604011).
  • 1984. Dolev and Warmuth give an O(nh(m−1)+1)O(n^{h(m-1)+1})O(nh(m−1)+1) algorithm for precedence graphs of height hhh (doi:10.1016/0196-6774(84)90039-7).
  • 2016–2022. Approximation schemes for fixed machine counts: Levey and Rothvoß via LP hierarchies (doi:10.1145/2897518.2897532), Garg's quasi-PTAS (doi:10.4230/LIPIcs.ICALP.2018.59), Li (doi:10.1137/1.9781611976465.178), Das and Wiese (doi:10.4230/LIPIcs.ESA.2022.40).
  • 2025. Nederlof, Swennenhuis and Węgrzycki give an exact algorithm in time 2O(nlog⁡n)2^{O(\sqrt n\log n)}2O(n​logn) for three machines (doi:10.1137/1.9781611978322.16).

The source of this mission, an OpenAI preprint dated September 24, 2026, claims a deterministic polynomial-time algorithm.

Setting

The input is a directed acyclic graph G=(V,E)G=(V,E)G=(V,E) on V={1,…,n}V=\{1,\dots,n\}V={1,…,n}, n≥1n\ge1n≥1, given as an explicit list of arcs, and optionally an integer deadline TTT with 1≤T≤n1\le T\le n1≤T≤n. A feasible schedule with makespan at most TTT is a map

τ:V→{1,…,T}\tau:V\to\{1,\dots,T\}τ:V→{1,…,T}

such that each value is taken at most three times (three machines) and τ(u)<τ(v)\tau(u)<\tau(v)τ(u)<τ(v) for every arc (u,v)∈E(u,v)\in E(u,v)∈E (precedence). Slot ttt means execution during [t−1,t)[t-1,t)[t−1,t). There are no release dates, communication delays or other resources. The input length LLL is the length of the binary encoding of the graph and deadline.

Formalization targets

Goal: Theorem 1.1

There is a single deterministic multitape Turing machine MMM and a constant CCC such that, on every such input of length LLL, MMM halts within

C (L+2)150020C\,(L+2)^{150020}C(L+2)150020

steps and

  • without a deadline, outputs a feasible schedule of minimum makespan;
  • with a deadline TTT, outputs "infeasible" exactly when no feasible schedule with makespan at most TTT exists, and otherwise outputs one.

The exponent is the one stated in the paper and is not optimized; the content of the theorem is that a fixed polynomial bound exists. The Lean statement OAI.ThreeMachine.main_theorem is open on the platform.

Significance

The theorem resolves the polynomial-time side of Garey and Johnson's OPEN8: unit-job makespan scheduling with arbitrary precedence constraints on three identical machines lies in P. Previous exact algorithms were either restricted to special precedence structures (forests, bounded height) or subexponential, and approximation schemes did not decide the optimum. The structural statement behind the algorithm, that feasible schedules admit recursive decompositions whose interval job sets have descriptions of bounded size, may be of independent use for other fixed-machine scheduling problems. No practical running time is claimed.

The result is claimed in an OpenAI preprint; it has not been peer reviewed and no machine-checked proof exists. A formal proof would also certify the running-time analysis in an explicit machine model, which is rarely done for algorithmic results of this size.

Difficulty

Removing selected slots from a feasible schedule leaves gaps that can be rescheduled independently, which suggests a recursive search over the job sets of gaps. The obstacle is their number: naming a gap by its two boundary triples does not determine its job set, and intersecting descriptions inherited from ancestors can make the descriptions grow without bound along a recursion of linear depth. The subexponential decomposition of Nederlof–Swennenhuis–Węgrzycki controls the number of subproblems only up to 2O(nlog⁡n)2^{O(\sqrt n\log n)}2O(n​logn); a polynomial bound needs every subproblem to have a global description of constant size.

Formalization scope

  • Instance n is a list of arcs on Fin n; acyclic forbids a Relation.TransGen cycle. Jobs are Fin n (shifted to 1,…,n1,\dots,n1,…,n in the encoding).
  • Feasible G T τ: slots in [1,T][1,T][1,T], at most three jobs per slot, strict precedence.
  • CorrectOutput distinguishes the optimization mode (none) and the decision mode (some T).
  • The machine model is a custom multitape Turing machine Machine k q g over Fin (g+3) with k+1k+1k+1 tapes; input on tape 0 encoded by encodeInput (self-delimiting binary numbers), output read from tape 0 after halting. The time bound is C (L+2)150020C\,(L+2)^{150020}C(L+2)150020 with LLL the encoded length.
  • The quantifiers are ordered so that the machine and constant are fixed before the instance (uniformity).

A complete development needs the combinatorics of the decomposition (separators and bounded global descriptions), a dynamic program over polynomially many descriptions, and its implementation and time analysis on the given Turing machine model. Contributions formalizing the purely combinatorial structure theorem, independently of the machine model, are welcome.

Selected references

  • OpenAI, A Polynomial-Time Algorithm for Three-Machine Unit-Job Scheduling, preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-polynomial-time-algorithm-for-three-machine-unit-job-scheduling-September-24-2026/paper.pdf
  • M. R. Garey, D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman, 1979.
  • E. G. Coffman Jr., R. L. Graham, Optimal scheduling for two-processor systems, Acta Inform., 1972. https://doi.org/10.1007/BF00288685
  • J. D. Ullman, NP-complete scheduling problems, J. Comput. System Sci., 1975. https://doi.org/10.1016/S0022-0000(75)80008-0
  • D. Dolev, M. K. Warmuth, Scheduling precedence graphs of bounded height, J. Algorithms, 1984. https://doi.org/10.1016/0196-6774(84)90039-7
  • J. Nederlof, C. M. F. Swennenhuis, K. Węgrzycki, A subexponential time algorithm for makespan scheduling of unit jobs with precedence constraints, SODA 2025. https://doi.org/10.1137/1.9781611978322.16
  • E. Levey, T. Rothvoß, A (1+ϵ)(1+\epsilon)(1+ϵ)-approximation for makespan scheduling with precedence constraints using LP hierarchies, STOC 2016. https://doi.org/10.1145/2897518.2897532
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Uniform computation of the squared-logarithmic k-server boundResearch Paper

Motivation

In the kkk-server problem, kkk labelled servers occupy points of a metric space, requests arrive online, and each request is served by moving one server onto it; the cost is the total distance moved, compared with the offline optimum through the competitive ratio. A companion OpenAI preprint claims that on every metric there exists a randomized policy with ratio O(log⁡2(k+1))O(\log^2(k+1))O(log2(k+1)) against oblivious requests, matching the known worst-case lower bound. That result is an existence statement: it gives no procedure for computing the policy's probabilities.

This mission asks whether the bound can be realized by one uniform algorithm with explicit bit complexity on all finite rational metrics, 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

  • 1988–1990 — Manasse, McGeoch and Sleator introduce the kkk-server problem and prove the deterministic lower bound kkk (STOC 1988; J. Algorithms 1990).
  • 1991 — Paging (the uniform metric): Fiat, Karp, Luby, McGeoch, Sleator and Young give the randomized marking algorithm and the harmonic lower bound (J. Algorithms 1991); McGeoch and Sleator attain HkH_kHk​ exactly (Algorithmica 1991). This suggested the randomized kkk-server conjecture, an O(log⁡k)O(\log k)O(logk) ratio on every metric.
  • 1995 — Koutsoupias and Papadimitriou prove that the work function algorithm is (2k−1)(2k-1)(2k−1)-competitive (J. ACM 1995).
  • 1996–2004 — Probabilistic tree embeddings: Bartal (FOCS 1996) and Fakcharoenphol–Rao–Talwar with distortion O(log⁡n)O(\log n)O(logn) (JCSS 2004).
  • 2012–2015 — Bansal, Buchbinder and Naor give O(log⁡k)O(\log k)O(logk) for weighted paging (J. ACM 2012); Bansal, Buchbinder, Mądry and Naor give the first polylogarithmic bound O(log⁡2klog⁡3nlog⁡log⁡n)O(\log^2k\log^3n\log\log n)O(log2klog3nloglogn) on arbitrary finite metrics (J. ACM 2015).
  • 2018 — Bubeck, Cohen, Lee, Lee and Mądry achieve O(log⁡2k)O(\log^2 k)O(log2k) on hierarchically separated trees, hence O(log⁡2klog⁡n)O(\log^2k\log n)O(log2klogn) on nnn-point metrics (STOC 2018).
  • 2023 — Bubeck, Coester and Rabani disprove the randomized kkk-server conjecture: some (k+1)(k+1)(k+1)-point metrics need ratio Ω(log⁡2k)\Omega(\log^2k)Ω(log2k) (STOC 2023).
  • 2026 — Coester and Cosson make the tree and finite-metric bounds polynomial-time, with ratio O(log⁡nlog⁡2k)O(\log n\log^2k)O(lognlog2k) on general metrics (ICALP 2026).
  • September 2026 — Two OpenAI preprints claim the matching upper bound O(log⁡2(k+1))O(\log^2(k+1))O(log2(k+1)) on every metric space (source) and a uniform bit-level implementation on finite rational metrics (source).

Setting

Fix n≥3n\ge3n≥3 and 2≤k<n2\le k<n2≤k<n. A rational metric on X={1,…,n}X=\{1,\dots,n\}X={1,…,n} is a table d(x,y)∈Qd(x,y)\in\mathbb Qd(x,y)∈Q that is nonnegative, zero exactly on the diagonal, symmetric, and satisfies the triangle inequality. An initial labelled tuple s∈Xks\in X^ks∈Xk may have repetitions. For a request word σ\sigmaσ, costA,s(σ)\mathrm{cost}_{A,s}(\sigma)costA,s​(σ) is the algorithm's total movement and OPTs(σ)\mathrm{OPT}_s(\sigma)OPTs​(σ) the minimum over all choices of serving labels with knowledge of σ\sigmaσ. LLL denotes the total binary length of the encoding of (n,k,d,s)(n,k,d,s)(n,k,d,s).

The computational model is a bit machine: a finite control with an input tape, finitely many work tapes over {0,1,blank}\{0,1,\text{blank}\}{0,1,blank}, an output channel, and one fresh unbiased random bit per step. At each request the input tape is replaced by the encoded request, the internal state is retained, and the output after the step budget names the server to move.

Formalization targets

Goal: Theorem 1.1 (p. 1)

There are an absolute constant CCC and a polynomial ppp such that a single uniform randomized online algorithm, on every instance (n,k,d,s)(n,k,d,s)(n,k,d,s) as above,

  • preprocesses the instance in at most p(L)p(L)p(L) bit operations;
  • serves request rtr_trt​, for every reachable history and internal state, in at most p(L+⌈log⁡2(t+1)⌉)p\bigl(L+\lceil\log_2(t+1)\rceil\bigr)p(L+⌈log2​(t+1)⌉) further bit operations, outputting a valid server label and moving exactly that server;
  • for every fixed finite request sequence σ\sigmaσ independent of its random bits satisfies
E costA,s(σ) ≤ C (log⁡(k+1))2 OPTs(σ)+Bd,k,s,\mathbb E\,\mathrm{cost}_{A,s}(\sigma)\ \le\ C\,\bigl(\log(k+1)\bigr)^2\,\mathrm{OPT}_s(\sigma)+B_{d,k,s},EcostA,s​(σ) ≤ C(log(k+1))2OPTs​(σ)+Bd,k,s​,

with Bd,k,s<∞B_{d,k,s}<\inftyBd,k,s​<∞ independent of σ\sigmaσ and of its length.

Significance

The result itself. It converts the existence theorem into an algorithm whose ratio is independent of nnn, using only unbiased random bits and polynomial work per request in the input length and the bit length of the request counter. The price is an additive constant Bd,k,sB_{d,k,s}Bd,k,s​ with no size bound: the algorithm may serve a very long initial stretch with a fixed label while its constructor runs. Coester and Cosson obtain stronger time and randomness guarantees but with ratio O(log⁡nlog⁡2k)O(\log n\log^2k)O(lognlog2k) on general metrics; the two results are incomparable.

Formalizing it. The goal is stated in an explicit machine model, so a formal proof certifies both the competitive bound and the bit-complexity bound. It needs the companion existence theorem (Theorem 2.1 here, p. 4) as an input; a full development therefore also requires formalizing that theorem or taking it as a separate milestone. Exact rational linear algebra (Fourier–Motzkin elimination), dyadic rounding of probabilities, and step-counted machine simulation are reusable.

Difficulty

Knowing that a good policy exists does not give its probabilities, and a finite horizon alone does not control a long input on which the optimum barely moves. The preprint (pp. 3–4) solves a rational linear system for each horizon, then filters requests so that only those missed by some strongly lazy service with bounded moves are retained, which bounds the retained word length; a marking fallback pays for trajectories exceeding the move cap. The constructor's running time is uncontrolled, so the algorithm simulates it for only ⌊log⁡2(t+1)⌋\lfloor\log_2(t+1)\rfloor⌊log2​(t+1)⌋ steps at request ttt (Proposition 4.2, p. 14), and the delayed activation is absorbed into Bd,k,sB_{d,k,s}Bd,k,s​.

Formalization scope

  • RationalMetric n is a Fin n → Fin n → ℚ table with the metric axioms; configurations are Fin k → Fin n; offlineCost is the sInf over label histories matching the request word (a finite, nonempty set of costs).
  • BitMachine has finitely many controls and tapes and a transition consuming one coin per step. Preprocessing (boot) runs c(L+1)ec(L+1)^ec(L+1)e steps with all coins 000, so it is deterministic; this is satisfied by the source's deterministic constructor, and Theorem 1.1 does not require randomness there.
  • Each request runs exactly requestBudget c e L t =c(L+⌈log⁡2(t+1)⌉+1)e=c(L+\lceil\log_2(t+1)\rceil+1)^e=c(L+⌈log2​(t+1)⌉+1)e steps (Nat.clog 2 (t+1)) and must have yielded with output value <k<k<k for every reachable state and every coin string; requests are encoded by a fixed self-delimiting binary code.
  • machineExpectedCost averages over all coin strings of the step budget, i.e. uniformly random bits; the bound is required for every request list w, with B≥0B\ge0B≥0 chosen after (d,s)(d,s)(d,s) and before w.
  • The machine, the polynomial (c,e)(c,e)(c,e) and CCC are fixed before nnn, kkk, ddd, sss: the algorithm is uniform.

Selected references

  • OpenAI, Uniform computation of the squared-logarithmic k-server bound, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Uniform-computation-of-the-squared-logarithmic-k-server-bound-September-24-2026/Uniform-computation-of-the-squared-logarithmic-k-server-bound-September-24-2026.pdf
  • OpenAI, Squared-logarithmic randomized k-server on arbitrary metrics, OpenAI Math Release preprint, September 24, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Squared-logarithmic-randomized-k-server-on-arbitrary-metrics-September-24-2026/Squared-logarithmic-randomized-k-server-on-arbitrary-metrics-September-24-2026.pdf
  • D. Komm, R. Královič, R. Královič, T. Mömke, Randomized online computation with high probability guarantees, Algorithmica (2022). https://doi.org/10.1007/s00453-022-00925-z
  • G. B. Dantzig, B. C. Eaves, Fourier–Motzkin elimination and its dual, J. Combin. Theory Ser. A 14 (1973). https://doi.org/10.1016/0097-3165(73)90004-6
  • M. S. Manasse, L. A. McGeoch, D. D. Sleator, Competitive algorithms for server problems, J. Algorithms 11 (1990). https://doi.org/10.1016/0196-6774(90)90003-W
  • E. Koutsoupias, C. H. Papadimitriou, On the k-server conjecture, J. ACM 42 (1995). https://doi.org/10.1145/210118.210128
  • A. Fiat, R. M. Karp, M. Luby, L. A. McGeoch, D. D. Sleator, N. E. Young, Competitive paging algorithms, J. Algorithms 12 (1991). https://doi.org/10.1016/0196-6774(91)90041-V
  • N. Bansal, N. Buchbinder, A. Mądry, J. Naor, A polylogarithmic-competitive algorithm for the k-server problem, J. ACM 62 (2015). https://doi.org/10.1145/2783434
  • S. Bubeck, M. B. Cohen, J. R. Lee, Y. T. Lee, A. Mądry, k-server via multiscale entropic regularization, STOC 2018. https://doi.org/10.1145/3188745.3188798
  • S. Bubeck, C. Coester, Y. Rabani, The randomized k-server conjecture is false!, STOC 2023. https://doi.org/10.1145/3564246.3585132
  • C. Coester, R. Cosson, Randomized k-server in polynomial time, ICALP 2026. https://doi.org/10.4230/LIPIcs.ICALP.2026.65
  • J. Fakcharoenphol, S. Rao, K. Talwar, A tight bound on approximating arbitrary metrics by tree metrics, JCSS 69 (2004). https://doi.org/10.1016/j.jcss.2004.04.011
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Complexity TheoryLinear algebraTheoretical Computer Science·Captain: wurtle

Staggered extraction for exact matrix multiplication over every fieldResearch Paper

Motivation: the matrix-multiplication exponent

Multiplying two n×nn\times nn×n matrices by the schoolbook method costs about n3n^3n3 operations. The matrix-multiplication exponent ωF\omega_FωF​ of a field FFF is the infimum of exponents τ\tauτ such that n×nn\times nn×n matrices over FFF can be multiplied with O(nτ+o(1))O(n^{\tau+o(1)})O(nτ+o(1)) additions, subtractions and multiplications. It governs the asymptotic cost of a central bilinear operation and of the many algorithms built from it (determinants, inversion, linear systems). Bounding ω\omegaω has driven algebraic complexity theory since 1969. In recent years the bounds have moved in the third and fourth decimal place, with each improvement coming from a finer analysis of the same tensor-power framework.

Background

  • 1969 — Strassen's seven-product algorithm gives ω≤log⁡27\omega\le\log_27ω≤log2​7 (Strassen 1969).
  • 1980–1987 — Approximate bilinear algorithms (Bini 1980), the asymptotic sum inequality (Schönhage 1981) and the laser method (Strassen 1987).
  • 1990 — Coppersmith and Winograd introduce the tensor family CWq\mathrm{CW}_qCWq​ and progression-free extraction (J. Symbolic Comput. 1990).
  • 2010–2014 — Higher tensor powers: Stothers (fourth power; with Davie, Proc. Roy. Soc. Edinburgh 2013), Vassilevska Williams (eighth power, STOC 2012), Le Gall (thirty-second power, ISSAC 2014).
  • 2023–2024 — The refined laser method gives ω<2.3728596\omega<2.3728596ω<2.3728596 (Alman–Vassilevska Williams, TheoretiCS 2024). Asymmetric hashing reduces combination loss (Duan–Wu–Zhou). Finer variable sharing follows (Vassilevska Williams–Xu–Xu–Zhou).
  • 2024–2026 — Successive asymmetric compatibility tests (Alman–Duan–Vassilevska Williams–Xu–Xu–Zhou, arXiv:2404.16349). Dupont et al. optimize the eighth-power instance of this framework to ω<2.371177\omega<2.371177ω<2.371177 (arXiv:2608.16884).
  • 2026 — An OpenAI preprint, Staggered extraction for exact matrix multiplication over every field (OpenAI Math Release, September 24, 2026), claims ωF<2.371054886006746\omega_F<2.371054886006746ωF​<2.371054886006746 for every fixed field FFF, including every positive characteristic. It has not been peer reviewed, and the claim has not been formally verified.

Setting

Fix a field FFF. An arithmetic program is a straight-line sequence of gates, each a constant from FFF, an input entry, or the sum, difference or product of two earlier gates. Its cost counts the addition, subtraction and multiplication gates. A program multiplies n×nn\times nn×n matrices if designated registers equal the entries of ABABAB for every pair of input matrices A,BA,BA,B over FFF. A real number τ\tauτ is admissible if for every ε>0\varepsilon>0ε>0 there is C>0C>0C>0 such that for every n≥1n\ge1n≥1 some correct program has cost at most C nτ+εC\,n^{\tau+\varepsilon}Cnτ+ε, and

ωF=inf⁡{τ∈R: τ admissible over F}.\omega_F=\inf\{\tau\in\mathbb R:\ \tau\text{ admissible over }F\}.ωF​=inf{τ∈R: τ admissible over F}.

In Lean this is MatrixAllFields.MatrixMultiplication.Arithmetic.omega F, defined for every F : Type u with [Field F].

Formalization targets

Goal: the exponent bound over every field (Theorem 1.1)

∀ F field:ωF<2.371054886006746.\forall\,F\ \text{field}:\qquad \omega_F<2.371054886006746 .∀F field:ωF​<2.371054886006746.

The Lean statement also contains the numerical comparison 2.371054886006746<2.3710562.371054886006746<2.3710562.371054886006746<2.371056, which carries no mathematical content (the source writes the comparison as <2.371054887<2.371054887<2.371054887). This is Theorem 1.1 of the source. The goal is published on the platform with status Open: no machine-checked proof exists yet.

Significance

The result itself. If the source's argument and certificate are correct, the theorem lowers the best stated bound on ω\omegaω from 2.3711772.3711772.371177 (Dupont et al.) to 2.3710552.3710552.371055, and it does so uniformly over all fields, with exact algorithms in every positive characteristic. Any improvement in ω\omegaω lowers the exponent of every algorithm reducible to matrix multiplication. The method — pooling directional capacities across extraction depths and staggering lots so that one lot sits at each splitting stage — shows that combination losses in the asymmetric framework can be traded across depths.

Formalizing it. Bounds of this type rest on long chains of tensor-power constructions, recovery arguments and large rational parameter tables, checked in the source by an accompanying verifier with interval certificates for logarithms. A machine-checked proof would certify the whole chain from the arithmetic model to the final rational inequality. It would also give Mathlib the asymptotic sum inequality and Coppersmith–Winograd machinery, which every future bound on ω\omegaω needs.

Difficulty

Every recent improvement fights extraction losses. Restricting a tensor power to a direct sum of independent matrix products wastes variables whenever whole blocks must be disjoint, while the final products only need disjoint subsets. Prescribed marginals may also allow several joint distributions. Earlier analyses take the minimum of three directional capacities separately at each depth, so a shortage on one side at one depth is lost. Using capacity across depths requires that variables deleted in earlier extractions (to resolve conflicts or impose type conditions) can still be recovered exactly, over the original field and with only subexponentially many extra copies. Positive characteristic rules out arguments that divide by small integers or rely on characteristic-zero identities.

Formalization scope

  • The model is division-free straight-line programs over an arbitrary field F : Type u, with free constants from FFF and unit cost for add, sub and mul. This matches the source's "scalar additions and multiplications".
  • AdmissibleExponent F τ asks, for each ε>0\varepsilon>0ε>0, for one constant C>0C>0C>0 that works for every n≥1n\ge1n≥1. omega F is the sInf of the admissible set, which is nonempty (schoolbook algorithm) and bounded below by the output size, so a junk value cannot make the strict inequality true.
  • The goal quantifies over every field, including finite fields, so a proof cannot use characteristic-zero arguments or embeddings into C\mathbb CC.
  • The second conjunct is a trivially true rational comparison and can be ignored.
  • Infrastructure needed: tensor rank and border rank over arbitrary fields, the asymptotic sum inequality, the Coppersmith–Winograd tensor and its powers, method-of-types counting, and verified rational/logarithm interval arithmetic for the parameter certificate. All of this is reusable for other matrix-multiplication results.

Selected references

  • V. Strassen, Gaussian elimination is not optimal, Numer. Math. 13 (1969), 354–356. https://doi.org/10.1007/BF02165411
  • D. Bini, Relations between exact and approximate bilinear algorithms. Applications, Calcolo 17 (1980), 87–97. https://doi.org/10.1007/BF02575865
  • A. Schönhage, Partial and total matrix multiplication, SIAM J. Comput. 10 (1981), 434–455. https://doi.org/10.1137/0210032
  • V. Strassen, Relative bilinear complexity and matrix multiplication, J. reine angew. Math. 375/376 (1987), 406–443. https://doi.org/10.1515/crll.1987.375-376.406
  • D. Coppersmith and S. Winograd, Matrix multiplication via arithmetic progressions, J. Symbolic Comput. 9 (1990), 251–280. https://doi.org/10.1016/S0747-7171(08)80013-2
  • A. M. Davie and A. J. Stothers, Improved bound for complexity of matrix multiplication, Proc. Roy. Soc. Edinburgh Sect. A 143 (2013), 351–369. https://doi.org/10.1017/S0308210511001648
  • V. Vassilevska Williams, Multiplying matrices faster than Coppersmith–Winograd, STOC 2012, 887–898. https://doi.org/10.1145/2213977.2214056
  • F. Le Gall, Powers of tensors and fast matrix multiplication, ISSAC 2014, 296–303. https://arxiv.org/abs/1401.7714v1
  • J. Alman and V. Vassilevska Williams, A refined laser method and faster matrix multiplication, TheoretiCS 3 (2024), Art. 21. https://doi.org/10.46298/theoretics.24.21
  • R. Duan, H. Wu and R. Zhou, Faster matrix multiplication via asymmetric hashing, arXiv:2210.10173. https://arxiv.org/abs/2210.10173v5
  • V. Vassilevska Williams, Y. Xu, Z. Xu and R. Zhou, New bounds for matrix multiplication: from alpha to omega, arXiv:2307.07970. https://arxiv.org/abs/2307.07970v2
  • J. Alman, R. Duan, V. Vassilevska Williams, Y. Xu, Z. Xu and R. Zhou, More asymmetry yields faster matrix multiplication, arXiv:2404.16349v3. https://arxiv.org/abs/2404.16349v3
  • E. Dupont et al., Improving the matrix multiplication exponent with modern optimization, arXiv:2608.16884 (2026). https://doi.org/10.48550/arXiv.2608.16884
  • OpenAI, Staggered extraction for exact matrix multiplication over every field, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 2). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Staggered-extraction-for-exact-matrix-multiplication-over-every-field-September-24-2026/Staggered-extraction-for-exact-matrix-multiplication-over-every-field-September-24-2026.pdf
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Complexity TheoryTheoretical Computer Science·Captain: wurtle

Perfect completeness for 2-to-1 gamesResearch Paper

Motivation

A projection game (label cover) asks for labels on the two sides of a bipartite multigraph so that, on each edge, the right label is the image of the left label under a prescribed map. In a 2-to-1 game the left alphabet has 2q2q2q labels, the right alphabet qqq, and every edge map has exactly two preimages of each right label. Khot introduced the 2-to-1 and Unique Games conjectures in 2002 (STOC 2002) as hypotheses that yield tight hardness of approximation. The 2-to-1 Games Conjecture with perfect completeness asserts that, for every fixed δ>0\delta>0δ>0, it is NP-hard to tell satisfiable 2-to-1 games from games in which every labeling satisfies at most a δ\deltaδ fraction of edges. Perfect completeness matters for problems whose YES instances must be exactly satisfiable, such as graph coloring: hardness with completeness 1−ε1-\varepsilon1−ε does not imply it.

This mission asks for a formal proof of the conjecture, 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

  • 1998 — The PCP theorem (Arora–Safra, JACM 1998; Arora–Lund–Motwani–Sudan–Szegedy, JACM 1998) and Raz's parallel repetition theorem (SICOMP 1998).
  • 2002 — Khot formulates the 2-to-1 and Unique Games conjectures.
  • 2011 — Rao's parallel repetition for projection games (SICOMP 2011).
  • 2014 — Austrin, O'Donnell, Tan and Wright prove perfect-completeness 2-to-1 label cover hardness with alphabets of sizes 666 and 333 and soundness 23/24+ε23/24+\varepsilon23/24+ε (ACM TOCT 2014).
  • 2017–2023 — The Grassmann/shortcode programme: Khot–Minzer–Safra (STOC 2017; ToC 2025), Dinur–Khot–Kindler–Minzer–Safra (STOC 2018), Barak–Kothari–Steurer (ITCS 2019), and the Grassmann expansion theorem of Khot–Minzer–Safra (Annals 2023), giving 2-to-1 hardness with completeness arbitrarily close to 111.
  • 2026 — Fei, Minzer and Wang prove perfect-completeness hardness for 4-to-1 games at arbitrarily small soundness (ECCC TR26-179).
  • September 2026 — The OpenAI preprint claims perfect completeness for 2-to-1 games (Theorem 1.1, p. 1).

Setting

For an integer q≥2q\ge2q≥2, a 2-to-1 instance has finite left and right vertex sets and a nonempty list of edge occurrences e=(ue,ve,πe)e=(u_e,v_e,\pi_e)e=(ue​,ve​,πe​), where πe:[2q]→[q]\pi_e:[2q]\to[q]πe​:[2q]→[q] is given by an explicit table with ∣πe−1(b)∣=2|\pi_e^{-1}(b)|=2∣πe−1​(b)∣=2 for every b∈[q]b\in[q]b∈[q]. Parallel occurrences, possibly with different maps, are allowed and counted with multiplicity; there are no weights. A labeling (a,b)(a,b)(a,b) assigns a(u)∈[2q]a(u)\in[2q]a(u)∈[2q] and b(v)∈[q]b(v)\in[q]b(v)∈[q] and satisfies eee when πe(a(ue))=b(ve)\pi_e(a(u_e))=b(v_e)πe​(a(ue​))=b(ve​). The value is the maximum, over labelings, of the fraction of satisfied occurrences. 3-SAT inputs are bit strings that decode to conjunctions of three-literal clauses (repetitions allowed); malformed inputs count as unsatisfiable.

Formalization targets

Goal: Theorem 1.1 (p. 1)

For every fixed rational δ∈(0,1)\delta\in(0,1)δ∈(0,1) there are an integer q=q(δ)≥2q=q(\delta)\ge2q=q(δ)≥2 and a deterministic polynomial-time reduction φ↦Gφ\varphi\mapsto G_\varphiφ↦Gφ​ from 3-SAT to 2-to-1 instances with alphabets [2q][2q][2q] and [q][q][q] such that

φ satisfiable ⇒ val⁡(Gφ)=1,φ unsatisfiable ⇒ val⁡(Gφ)≤δ.\varphi\ \text{satisfiable}\ \Rightarrow\ \operatorname{val}(G_\varphi)=1,\qquad \varphi\ \text{unsatisfiable}\ \Rightarrow\ \operatorname{val}(G_\varphi)\le\delta .φ satisfiable ⇒ val(Gφ​)=1,φ unsatisfiable ⇒ val(Gφ​)≤δ.

The running time is polynomial in the binary input length, with degree and constants depending only on δ\deltaδ.

Significance

The result itself. It removes the conditional hypothesis from perfect-completeness reductions. The preprint derives NP-hardness for maximum kkk-colorable subgraph at soundness 1−1k+Clog⁡kk21-\frac1k+C\frac{\log k}{k^2}1−k1​+Ck2logk​ through Guruswami and Sinop's reduction (Corollary 1.2, p. 3), and recovers satisfiable Not-Two and three-query PCP hardness (Corollary 1.3, p. 4), the latter already known unconditionally by Håstad (SICOMP 2014). A companion preprint uses it for hardness of finding large independent sets in three-colorable graphs.

Formalizing it. No PCP-style hardness result of this strength has been machine-checked. A complete development needs a perfect-completeness PCP gap (Theorem 2.1, p. 5), projection-game parallel repetition (Theorem 2.2, p. 6), the Grassmann expansion theorem (Theorem 2.3, p. 7) and inverse shortcode estimates (Theorem 2.6, p. 9), on top of a polynomial-time Turing-machine framework. These components are shared with the Unique Games formalization and would be reusable.

Difficulty

Near-perfect completeness does not give perfect completeness: the 1−ε1-\varepsilon1−ε reductions need not produce any finite satisfiable game. Amplifying a constant-soundness perfect-completeness game by parallel repetition destroys the 2-to-1 structure, since kkk-fold repetition gives 2k2^k2k preimages per right label. The preprint therefore builds a new tree-structured construction (Section 3) whose joint-partition questions keep two-element fibers and satisfy exact identities, and the soundness analysis must decode labelings through a rank test whose tested rows depend on the decoded form itself (Sections 5–6), before projection-game repetition gives the contradiction (Section 7).

Formalization scope

  • ProjectionTable q is a Vector (Fin q) (2*q) with exactly two preimages of every b : Fin q. Instance q lists edges as a List with a nonemptiness proof, so value = maxSatisfied / edges.length never divides by zero; maxSatisfied is a Finset.sup over all labelings.
  • BinaryGapReduction δ fixes alphabet ≥ 2, a construct map, a Turing.TM2ComputableInPolyTime witness from raw input bits (identity encoding) to the explicit bit encoding gameBits, finite tape alphabets, completeness value = 1 on encodings of satisfiable formulas, and soundness value ≤ δ on all other inputs.
  • The goal quantifies over rational δ\deltaδ with 0<δ<10<\delta<10<δ<1, as in the source; the alphabet and machine are fixed before the input.
  • No vacuous reading: the 3-SAT language is nontrivial and value = 1 requires a labeling satisfying every edge.

Selected references

  • OpenAI, Perfect completeness for 2-to-1 games, OpenAI Math Release preprint, September 23, 2026. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Perfect-completeness-for-2-to-1-games-September-23-2026/paper.pdf
  • S. Khot, On the power of unique 2-prover 1-round games, STOC 2002. https://doi.org/10.1145/509907.510017
  • P. Austrin, R. O'Donnell, L.-Y. Tan, J. Wright, New NP-hardness results for 3-coloring and 2-to-1 label cover, ACM Trans. Comput. Theory 6 (2014).
  • S. Khot, D. Minzer, M. Safra, Pseudorandom sets in Grassmann graph have near-perfect expansion, Ann. of Math. 198 (2023). https://doi.org/10.4007/annals.2023.198.1.1
  • I. Dinur, S. Khot, G. Kindler, D. Minzer, M. Safra, Towards a proof of the 2-to-1 games conjecture?, STOC 2018. https://doi.org/10.1145/3188745.3188804
  • B. Barak, P. K. Kothari, D. Steurer, Small-set expansion in shortcode graph and the 2-to-2 conjecture, ITCS 2019. https://doi.org/10.4230/LIPIcs.ITCS.2019.9
  • Y. Fei, D. Minzer, S. Wang, On the hardness of 4-to-1 games with perfect completeness, ECCC TR26-179 (2026). https://eccc.weizmann.ac.il/report/2026/179/
  • A. Rao, Parallel repetition in projection games and a concentration bound, SIAM J. Comput. 40 (2011). https://doi.org/10.1137/080734042
  • R. Raz, A parallel repetition theorem, SIAM J. Comput. (1998). https://doi.org/10.1137/S0097539795280895
  • V. Guruswami, A. K. Sinop, Improved inapproximability results for maximum k-colorable subgraph, Theory Comput. 9 (2013). https://doi.org/10.4086/toc.2013.v009a011
  • M. Braverman, S. Khot, D. Minzer, On rich 2-to-1 games, ITCS 2021. https://doi.org/10.4230/LIPIcs.ITCS.2021.27
  • J. Håstad, On the NP-hardness of Max-Not-2, SIAM J. Comput. (2014). https://doi.org/10.1137/120882718
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