Sen 1998: Tachyon condensation on the brane–antibrane systemResearch Paper
Motivation
A coincident pair of a D-brane and an anti-D-brane in type II string theory carries an open-string tachyon, a mode of negative mass squared. In Sen, hep-th/9805019 it was conjectured that at the minimum of the tachyon potential the negative potential energy exactly cancels the sum of the tensions of the brane and the anti-brane, so that the system decays to a configuration of zero energy density, i.e. the supersymmetric vacuum. The paper formalized here, A. Sen, Tachyon condensation on the brane antibrane system, JHEP 08 (1998) 012, gives a short argument for this, and the author says explicitly that it is not a rigorous mathematical proof. The argument follows Gava–Narain–Sarmadi, hep-th/9704006 and belongs to the programme of tachyon condensation. Later work, starting with open string field theory computations, tested the same conjecture numerically.
Setting
Work in string units (α′=1). Wrap a D2-brane and an anti-D2-brane on a torus T2=S1×S1 with radii R1,R2 and area V=4π2R1R2. Each brane carries one unit of magnetic flux, F12=2π/V, with signs chosen so that each carries +1 unit of D0-brane charge. T-duality on both circles gives a dual torus with radii R~i=1/Ri and coupling g~=g/(R1R2). On the dual torus the system is described by a U(2) gauge theory: a gauge field is a pair A=(A1,A2) of 2×2 complex-matrix-valued functions of x=(x1,x2), with field strengthF12=∂1A2−∂2A1−i[A1,A2]. The gauge transform by a matrix-valued Ω is (Ω∘A)μ=ΩAμΩ−1−i(∂μΩ)Ω−1. The background configuration is
A1=0,A2=V~2πx1σ3,V~=4π2R~1R~2,
subject to twisted boundary conditions with transition functions Ω1=exp(ix2σ3/R~2) and Ω2=1. A D-brane with coupling g has tension 1/(4π2g).
Formalization targets
Goal
With M(R1,R2,g) the mass at the classical minimum (two D2-branes with zero field strength on the dual torus, re-expressed through R1,R2,g), for each fixed g>0:
R1,R2→∞lim4π2R1R2M(R1,R2,g)=0.
Milestones (in the paper's order)
Eq. (1): 2π/(4π2R1R2)→0 as R1,R2→∞.
The background (4) is traceless Hermitian (no U(1) part).
Eqs. (5)–(6): the background satisfies the twisted boundary conditions.
Eq. (7): Ω2(2πR~1)Ω1(0)=Ω1(2πR~2)Ω2(0).
The background has field strength F12=(2π/V~)σ3=0.
Eq. (8): there is a smooth SU(2)-valued g with the boundary behaviour (8).
Gauge transformations preserve F12≡0.
Eq. (9): M=2R~1R~2/g~.
Eq. (10): M=2/g.
Eq. (11): M/(4π2R1R2)=1/(2π2R1R2g).
Significance
The vanishing of the energy at the tachyon minimum is the basis for identifying stable non-BPS D-branes as tachyonic solitons on brane–antibrane pairs, as discussed at the end of the paper, and it was a starting point for later work on tachyon condensation. The paper's argument is heuristic. This mission makes explicit which steps are mathematics (the gauge-theoretic facts (4)–(8), the gauge covariance used on p. 3, and the algebra (9)–(11) and its limit) and machine-checks them. The physical inputs (the BPS argument that the mass (9) persists as parameters vary, and the identification of the minimum-energy configuration) are recorded as modelling assumptions in the definitions, not proved.
Difficulty
The algebraic milestones (9)–(11) and the limits are elementary. The substantive formal work is in the gauge-theory milestones: computing derivatives of the matrix exponential in (5), the smooth homotopy with flat ends required by (8) (existence rests on the simple connectivity of SU(2), but the statement asks for an explicit smooth SU(2)-valued map with prescribed boundary values and vanishing normal derivative), and the covariance computation of the field strength under a non-unitary, merely invertible Ω.
Formalization scope
Coordinates are x=(x1,x2)∈R×R; the paper's index μ∈{1,2} is Fin 2 (1↦0, 2↦1). Matrices are Matrix (Fin 2) (Fin 2) ℂ; partial derivatives are taken entrywise; the inverse is the Mathlib matrix inverse; the exponential is NormedSpace.exp. Radii and couplings are real, with positivity assumed wherever the paper's quantities are physical. The goal cannot be trivialized by division by zero, because it is a statement about the limit of large positive radii. All definitions live in a single definition file under the namespace SenTachyon.
E. Gava, K. S. Narain, M. H. Sarmadi, On the bound states of p- and (p+2)-branes, Nucl. Phys. B 504 (1997) 214. https://arxiv.org/abs/hep-th/9704006
G. 't Hooft, Some twisted self-dual solutions for the Yang–Mills equations on a hypertorus, Comm. Math. Phys. 81 (1981) 267. https://doi.org/10.1007/BF01208900
't Hooft 1993: Dimensional Reduction in Quantum GravityResearch Paper
Motivation
In the 1993 essay Dimensional Reduction in Quantum Gravity (arXiv:gr-qc/9310026), G. 't Hooft argued that, once gravitational collapse is taken into account, the number of quantum states available to a region of space grows with the area of its boundary rather than with its volume. The essay is the origin of what is now called the holographic principle (developed further by Susskind, arXiv:hep-th/9409089). Besides the physical counting argument, the essay contains a small, fully precise mathematical model: a cellular automaton on the cubic lattice Z3 whose data on a one-dimensional line determine the data everywhere. This mission formalizes the quantitative estimates and the automaton statements of the essay.
Setting
Entropy estimates (eqs. (4)–(11)). In natural units, a region bounded by a sphere of radius R has volume V=34πR3 and area A=4πR2. A thermal gas of Z particle species at temperature T has energy E=C1ZVT4 and entropy S=C2ZVT3 with positive constants C1,C2. It stays outside its own Schwarzschild radius if 2E<R. A black hole of mass M has entropy 4πM2 (eq. (1), additive constant dropped).
Plaquette automaton (eqs. (12)–(19)). Data f:Z3→Z/p live on lattice sites. An elementary plaquette has lowest corner x and is spanned by two of the unit vectors e1,e2,e3; its corners in cyclic order are x,x+u,x+u+v,x+v. On every plaquette a relation g(f1,f2,f3,f4)=0 is imposed such that any three entries determine the fourth uniquely. The relations may differ from plaquette to plaquette. On the unit cube with corners A=0, B=e1, D=e2, E=e3, C=e1+e2, F=e1+e3, H=e2+e3, G=e1+e2+e3, the six face relations are (12a–f). The staircase (eq. (14)) is the sequence
A family of face relations is consistent (eq. (16)) if every choice of f(A),f(B),f(D),f(E) extends to data on the cube satisfying all six relations; equivalently, the three values of f(G) produced by (12b), (12d), (12f) agree. Linear relations (eq. (17)) have the form ∑jajfj+b≡0(modp), with every aj invertible mod p.
Formalization targets
Goal: the staircase determines everything
For any family of plaquette relations with the three-determine-the-fourth property, two solutions on Z3 that agree on the staircase agree everywhere:
(∀n∈Z:f(x(n))=f′(x(n)))⟹f=f′.
Milestones
Eqs. (4)–(8): T<C3Z−1/4V−1/6 and S<C4Z1/4V1/2=C5Z1/4A3/4 for the thermal gas.
Eqs. (9)–(11): black holes that fit inside the sphere have total entropy <A/4, and A/4 is the supremum.
Discussion of Fig. 1: on one cube, the data at D,H,E,F determine all eight corners.
Eqs. (17)–(19): consistent linear relations with invertible coefficients exist for every modulus p≥2.
Eqs. (14), (17): for the linear relation f1−f2+f3−f4≡0, any data on the staircase extend uniquely to a global solution. The staircase data are then exactly the free degrees of freedom.
Significance
The goal is the essay's concrete mathematical example of dimensional reduction: in a 2+1-dimensional lattice model, a one-dimensional set of data carries all the information. Milestone 5 shows that the reduction is sharp in the linear case: no data beyond the staircase are needed, and none of the staircase data are constrained. Milestones 1–2 are the scaling estimates behind the area law Smax=A/4. The physical argument around them (black-hole thermodynamics, the Schwarzschild criterion) is taken as modelling input, not formalized. The results are stated in the essay but, as far as is known, have not been machine-checked.
Difficulty
The local step (one cube, Milestone 3) is elementary. The goal needs a global propagation argument. The staircase is a thin zig-zag line, and each application of a plaquette relation fixes only one new site. So the proof has to show that repeated local determination starting from the line eventually reaches every site of Z3, in both directions along the line and in both transverse directions. Layer-by-layer propagation in t=x1+x2+x3 does not apply directly, because the staircase is not a full layer.
Formalization scope
Sites are ℤ × ℤ × ℤ. Data take values in ZMod p for an arbitrary natural number p; the uniqueness statements hold for every p. The three-determine-the-fourth property is stated with unique existence (∃!) for each slot, which matches "uniquely determined" in the essay. Relations may depend on the plaquette, so no translation invariance is assumed. Consistency (16) is encoded as extendability of the four free values on the unit cube. In Milestones 1–2 the region is a round sphere of radius R, so V and A are expressions in R, and the constants are existentially quantified before all physical variables. Contributions welcome: proofs of each milestone, and further faithful statements from the triangular-lattice model (eqs. (20a–f)).
Akhmedov Neutrino Physics I: MSW Oscillations at Constant DensityTextbook
Motivation
Neutrinos produced by weak interactions are created in flavour eigenstates (νe, νμ, ντ), while they propagate as mass eigenstates. When the two bases differ, the flavour content of a neutrino beam oscillates with distance. In ordinary matter this picture is modified: electron neutrinos scatter coherently forward on electrons via the charged current, which adds an extra potential energy VCC=2GFNe to the νe component only (Wolfenstein 1978). Mikheyev and Smirnov observed that this potential can resonantly enhance the mixing, so that an almost complete flavour conversion is possible even for a tiny vacuum mixing angle — the MSW effect. It is the accepted explanation of the energy dependence of the solar νe deficit and is relevant for neutrinos crossing the Earth and for supernova neutrinos.
This mission formalizes the constant-density result of Section 8.2 of E. Kh. Akhmedov's lecture notes Neutrino physics (hep-ph/0001264): the two-flavour transition probability in matter of constant density, eq. (95), together with the statements that lead to it and follow from it, eqs. (91)–(98).
Setting
Fix the vacuum parameters: the mass-squared difference Δm2=m22−m12∈R, the neutrino energy E>0, and the vacuum mixing angle θ0∈R. The matter is described by the Fermi constant GF and the electron number density Ne, through the charged-current potential (eq. (87))
VCC=2GFNe.
Write a=Δm2/(2E). After discarding all terms proportional to the identity (common phases), the vector ν(t)=(νe(t),νμ(t))∈C2 of flavour amplitudes evolves by the Schrödinger equation iν˙=Hν with the real symmetric MSW Hamiltonian (eq. (91))
The derived quantities are the energy gap in matter (eq. (94)), the oscillation length in matter (eq. (96)) and the oscillation amplitude in matter (eq. (97)):
The vacuum oscillation length is losc=4πE/Δm2 (eq. (61)). Distance and time are identified (L≃t, units with c=1).
Formalization targets
Goal — transition probability at constant density (eq. (95))
If ν solves iν˙=Hν for all t with ν(0)=(1,0) (a pure νe is produced at t=0), then for every L
∣νμ(L)∣2=sin22θsin2(lmπL).
Milestones
Common phases are unobservable (Sec. 8.1, below eq. (89)). Adding c1 (c∈R) to a Hamiltonian changes a solution only by a phase; multiplying back by eict gives a solution for the reduced Hamiltonian with the same component moduli.
Mixing angle in matter (eq. (93)). There is an angle θ with Δmcos2θ=acos2θ0−VCC and Δmsin2θ=asin2θ0; in particular tan2θ=asin2θ0/(acos2θ0−VCC) whenever the denominator is non-zero.
Matter eigenstates and eigenenergy difference (eqs. (92), (94)). For such θ, (cosθ,−sinθ) and (sinθ,cosθ) are eigenvectors of H with eigenvalues (VCC∓Δm)/2, whose difference is Δm.
Oscillation amplitude (eq. (97)). For such θ and Δm=0, sin22θ equals the explicit resonance expression above.
MSW resonance (eq. (98)). The amplitude never exceeds 1, and when asin2θ0=0 it equals 1 exactly when 2GFNe=2EΔm2cos2θ0.
Vacuum limit (text below eq. (96)). For Ne=0 and Δm2=0: sin22θ=sin22θ0 and lm=∣losc∣.
Significance
Eq. (95) shows that at constant density the flavour transition has exactly the vacuum form with θ0,losc replaced by θ,lm; together with the resonance condition (98) it underlies quantitative discussions of matter effects, from the solar neutrino problem to long-baseline experiments crossing the Earth. The milestones separate the linear-algebra content (diagonalizing a real symmetric 2×2 matrix) from the analytic content (solving a linear constant-coefficient ODE and the uniqueness of its solution).
The result is textbook material and is proved in the source. This mission adds a machine-checked derivation from the Schrödinger equation itself — including uniqueness of the solution of the initial-value problem, which the source leaves implicit — and reusable Lean definitions for later missions on the adiabatic (variable-density) regime of Section 8.3.
Difficulty
The algebra of eqs. (93)–(97) is elementary. The substantive step for a formal proof is the passage from "the Hamiltonian is diagonalized by a rotation" to "every solution of the ODE with the given initial datum has the stated νμ component": this needs a uniqueness theorem for linear ODEs on C2 (or an equivalent argument). Degenerate parameter values (Δm=0, asin2θ0=0) must be handled, since the Lean statements do not exclude them.
Formalization scope
All parameters are real numbers; the state is a function ν:R→C2 (index 0=νe, 1=νμ) assumed differentiable everywhere with derivative −iHν(t), where H is the real matrix above viewed as a complex matrix. The probability is the squared modulus ∣νμ(L)∣2. E>0 is assumed throughout; the sign of Δm2, the value of θ0 and the density are unrestricted. Lean's division convention (x/0=0) applies to lm and sin22θ when Δm=0; in that degenerate case H is a multiple of the identity and both sides of the goal are 0.
A statement that assumed the closed-form solution, or assumed the probability formula as a hypothesis, would be trivial; the goal instead quantifies over every solution of the initial-value problem. Proofs of any milestone, and reusable lemmas on uniqueness for linear constant-coefficient ODEs, are welcome.
Davidson–Nardi–Nir 2008 (Leptogenesis), Eq. (5.10): upper bound on the flavoured CP asymmetry in N1 decaysResearch Paper
Motivation
Leptogenesis is a class of scenarios in which the baryon asymmetry of the Universe is produced from a lepton asymmetry generated in the out-of-equilibrium decays of heavy singlet neutrinosNk, which also give the light neutrinos their small masses through the type I seesaw (Fukugita–Yanagida 1986). The review of Davidson, Nardi and Nir (Phys. Rep. 466 (2008) 105) collects the standard results of the field. One of its central quantitative facts is an upper bound on the CP asymmetry in the decays of the lightest singlet N1, in terms of M1 and the light-neutrino masses. This bound is the origin of the familiar lower bound M1≳109GeV for thermal leptogenesis with hierarchical singlets (Eq. (5.12) of the review).
Timeline. Casas and Ibarra introduced the orthogonal-matrix parametrization of the seesaw in 2001 (hep-ph/0103065). Davidson and Ibarra derived the bound ∣ε∣≤3M1(m3−m1)/(16πv2) on the total asymmetry in 2002 (hep-ph/0202239); Hamaguchi, Murayama and Yanagida gave a related bound (hep-ph/0109030). Once flavour effects were recognised (around 2006), attention moved to the flavoured asymmetries εαα, whose bound (Eq. (5.10) of the review) is the goal of this mission.
Setting
There are three lepton flavours α and three singlets Nk with Majorana masses Mk>0. We work in the mass basis of the charged leptons and of the Nk. The Yukawa matrixλ is an arbitrary complex 3×3 matrix, and v=vu>0 is the Higgs vev. The light-neutrino mass matrix (Eq. (2.5)) is
[m]αβ=k∑λαkMk−1λβkv2,
a complex symmetric matrix. It is diagonalized as m=U∗DmU† with U unitary and Dm=diag(m1,m2,m3), mi≥0 (Eq. (2.6)). The largest and smallest light masses are mmax and mmin. The Casas–Ibarra matrix is R=Dm−1/2UTλDM−1/2v (Eq. (2.11)).
At tree level N1 decays into ϕℓα and ϕˉℓˉα with partial rate Γαα=∣λα1∣2M1/(8π) and total rate ΓD=[λ†λ]11M1/(8π) (Eq. (4.5)). So the branching fractions satisfy Bϕℓα+Bϕˉℓˉα=Γαα/ΓD. For hierarchical singlets the flavoured CP asymmetry is (Eq. (5.9))
εαα=16πv2[λ†λ]113M1Im{[λ]α1[m∗λ]α1}.
Formalization targets
Goal — Eq. (5.10)
∣εαα∣≤16πv23M1mmaxBϕℓα+Bϕˉℓˉαfor every flavour α.
Milestones
Eq. (2.6): the matrix m admits a diagonalization m=U∗DmU† with U unitary and mi≥0.
Eq. (2.11): for mi>0, R is complex orthogonal, RTR=RRT=1.
Sec. 5.2: ∣m⋅x∗∣≤mmax∣x∣ for all x∈C3.
Sec. 5.2 / Eq. (5.17): the total asymmetry bound ∣∑αεαα∣≤3M1(mmax−mmin)/(16πv2).
Significance
Eq. (5.10) is the input to the lower bounds on M1 and on the reheat temperature for hierarchical thermal leptogenesis (Eq. (5.12), Sec. 9.4.3), and it shows that flavoured asymmetries are not suppressed for degenerate light neutrinos, unlike the total one (Eq. (5.17)). These are established results. The work here is to formalize them: to state the seesaw quantities precisely and machine-check the linear-algebra steps (Takagi factorization, complex orthogonality, operator-norm bounds) that the physics literature takes for granted. To the captain's knowledge none of these statements has a machine-checked proof.
Difficulty
The goal reduces to an operator-norm estimate for the complex symmetric matrix m. That estimate needs the diagonalization m=U∗DmU†, which is a Takagi (Autonne–Takagi) factorization, not a unitary eigen-decomposition: m is symmetric, not Hermitian. The obvious move, applying the spectral theorem to m, fails because m is in general not normal. The milestone-1 existence statement therefore needs its own argument, for example through the Hermitian matrix m†m. The total-asymmetry bound (milestone 4) needs a finer argument than the triangle inequality to produce the difference mmax−mmin rather than mmax.
Formalization scope
Everything is 3×3 over C with index set {0,1,2} (Fin 3); the singlet "N1" is index 0.
mmax and mmin are ⨆ i, masses i and ⨅ i, masses i over the three diagonal entries. No ordering of the mi is imposed.
The diagonalization is a hypothesis IsLightMassDiagonalization m U masses (unitary U, mi≥0, m=Udiag(mi)U†). It is always satisfiable by milestone 1, so it is not vacuous.
εαα is the explicit hierarchical-limit expression (5.9), with [λ†λ]11 written as ∑β∣λβ1∣2. The physical approximation M2,3≫M1 is built into this formula and is not a hypothesis. The branching sum is the tree-level ratio Γαα/ΓD.
Division by zero returns 0 in Lean. This only matters when the first column of λ vanishes, where both sides of the goal are 0.
Needed infrastructure: Takagi factorization of complex symmetric matrices (reusable beyond this mission), and elementary Euclidean-norm estimates on C3.
S. Davidson, A. Ibarra, A lower bound on the right-handed neutrino mass from leptogenesis, Phys. Lett. B 535 (2002) 25. https://arxiv.org/abs/hep-ph/0202239
Thorn 1991: String Bits and the 1/N Expansion — Discretized-String SpectrumResearch Paper
Motivation
In the note Reformulating String Theory with the 1/N Expansion (arXiv:hep-th/9405069), C. B. Thorn argues that stability and causality, which are manifest in quantum field theory but obscure in string theory, would become evident if strings were composite objects built from point-like constituents ("string bits"). The proposal combines the light-cone parametrization of the string with 't Hooft's 1/N expansion (G. 't Hooft, Nucl. Phys. B72 (1974) 461): bits are created by the entries of an N×N matrix field aˉ(x), closed strings by the singlet traces tr{aˉ(x1)⋯aˉ(xM)}, and 1/N plays the role of the string coupling.
A load-bearing step of the proposal is that a long closed chain of M bits behaves like a continuous string: in the continuum limit M→∞ with P+=MϵT0 fixed, the finite-energy excitations must be string excitations. Thorn justifies this with the remark (p. 5) that "the low energy excitations of an M particle discretized string are O(1/M)× the two-body level spacing". This mission formalizes that remark for the harmonic Hamiltonian written in the paper, together with the cyclic symmetry that ties the matrix traces to closed strings.
Setting
A discretized light-cone string with M bits is described by transverse positions x1,…,xM with cyclic identification xM+1=x1 and Hamiltonian (p. 4)
P−=ϵ1i=1∑M2T01(−∇i2+T02(xi+1−xi)2).
The potential term is the quadratic form of the cyclic LaplacianLM, (LMx)i=2xi−xi+1−xi−1 (indices mod M), and the equations of motion are x¨=−ϵ−2LMx. A normal-mode frequency is an ω>0 with ϵ2ω2 an eigenvalue of LM; write ΩM,ϵ for the set of them. With ℏ=1 these are the excitation-level spacings of the chain.
The singlet creation operators are Aˉ(x1,…,xM)=(1/N)M/2tr{aˉ(x1)⋯aˉ(xM)}; since the aˉkℓ commute with each other, cyclic invariance of the trace gives the cyclic symmetry ψM(x1,…,xM)=ψM(x2,…,xM,x1) of the string wave function.
Cyclic symmetry: tr(a0a1⋯aM)=tr(a1⋯aMa0) for matrices over a commutative ring.
The bond potential is a quadratic form: ∑i(xi+1−xi)2=xTLMx.
Each 4sin2(πk/M) is an eigenvalue of LM (M≥1).
Every eigenvalue of LM is 4sin2(πk/M) for some 0≤k<M.
Significance
The goal is the quantitative content of the paper's continuum-limit argument in the harmonic case: the gap of an M-bit chain closes like 1/M relative to the two-body scale, so at fixed P+ the low-lying spectrum approaches the equally spaced string spectrum. The same spectral facts about the cyclic Laplacian (the spectrum of the cycle graph) are used in lattice field theory and spectral graph theory, so the milestones are reusable outside this mission. The results are classical; the work here is their machine-checked formalization in a form tied to the string-bit Hamiltonian.
Difficulty
The trace and quadratic-form statements are finite algebra. The substance lies in the spectrum: exhibiting real eigenvectors for every k needs trigonometric sum identities, and the completeness statement needs an argument that no other eigenvalues exist, which must handle the degenerate pairs k↔M−k. Identifying the least positive value then requires the symmetry sin(πk/M)=sin(π(M−k)/M) and monotonicity of sin on [0,π/2].
Formalization scope
LM is a real matrix indexed by FinM; eigenvalues are those of the real linear map x↦LMx (nonzero real eigenvector).
One transverse dimension is used; with d−2 transverse dimensions the modes decouple and the frequency set is the same. The tension T0 drops out of the frequencies.
"Two-body level spacing" is formalized as the lowest frequency of the M=2 member of the same cyclic family. The paper's claim for a general attractive potential V (and the quantum field theory, the 1/N expansion itself, and the postscript remarks) is outside the scope.
Edge cases: the goal assumes M≥2 and ϵ>0, so ΩM,ϵ is nonempty and its minimum is attained; the definition of Ω requires ω>0, which excludes the zero mode.
Selected references
C. B. Thorn, Reformulating String Theory with the 1/N Expansion, invited talk, First Int. A. D. Sakharov Conference (1991); arXiv:hep-th/9405069 (1994). https://arxiv.org/abs/hep-th/9405069
G. 't Hooft, A planar diagram theory for strong interactions, Nucl. Phys. B72 (1974) 461.
Douglas 2003: Statistics of String Vacua — Flux Counting and Gaussian EnsemblesResearch Paper
Motivation
String/M theory appears to admit a very large number of four-dimensional vacua, and M. R. Douglas's 2003 paper The statistics of string/M theory vacua proposes to study them statistically: instead of constructing vacua one at a time, one places a measure on a space of effective theories and computes expected numbers and distributions of vacua. Two concrete mathematical ingredients of that programme are the subject of this mission.
The first is the Bousso–Polchinski counting of flux vacua (Section 3.6 of the paper, following Bousso–Polchinski 2000). Quantized fluxes form an integer vector N∈ZJ, and the flux energy is a positive quadratic form in N. The number of flux choices with energy below V controls whether a small cosmological constant can be realised; the paper evaluates the number distribution (3.13) by replacing the lattice sum with an integral, obtaining a density proportional to VJ/2−1dV.
The second is the Gaussian ensemble of superpotentials (Section 4 and 4.1): a random polynomial superpotential whose coefficients are independent complex Gaussians, with an explicit normalising constant and an explicit count of coefficients.
Setting
Fix an integer J≥0 (the number of independent flux quanta, J=bp+1 in the paper) and a constant c>0 (in the paper c=Mpl2/(M2pVp+12)). For a flux vectorN=(N1,…,NJ)∈ZJ the flux potential is
V(N)=ci=1∑JNi2,
and the flux vacua count below level V is
NJ(c,V)=#{N∈ZJ:V(N)≤V}.
This is the cumulative distribution function of the measure dμ(V)=∑Nδ(V−V(N)) of eq. (3.13). The unit ball in RJ has volume ωJ=πJ/2/Γ(J/2+1), and the unit sphere has area Vol(SJ−1)=2πJ/2/Γ(J/2)=JωJ.
For the superpotential ensemble, a polynomial in n variables of degree at most d has one coefficient per monomial zI=z1I1⋯znIn with ∣I∣≤d; the paper states there are c(d,n)=(d+n)!/(d!n!) of them. The coefficients wI∈C are given the weight (α/π)c(d,n)∏Id2wIe−α∣wI∣2, α>0, which the paper says is unit normalised.
Formalization targets
Goal: asymptotic count of flux vacua
V→∞lim(V/c)J/2NJ(c,V)=Γ(J/2+1)πJ/2.
This is the precise, integrated form of the approximation in (3.13): integrating 21Vol(SJ−1)c−J/2vJ/2−1 from 0 to V gives exactly ωJ(V/c)J/2.
Milestones
Finiteness: for every V, only finitely many N∈ZJ satisfy V(N)≤V (so NJ is a genuine count).
Continuum volume: the Lebesgue volume of {x∈RJ:c∑xi2≤V} equals ωJ(V/c)J/2 for V≥0.
Continuum density (3.13): for 0≤V1≤V2 and J≥1, the volume of the shell {V1<c∑xi2≤V2} equals ∫V1V221Vol(SJ−1)c−J/2vJ/2−1dv.
Normalisation of the complex Gaussian ensemble: ∫Cm(α/π)me−α∑I∣wI∣2d2mw=1 for every m and α>0.
Significance
The goal makes rigorous the step "replace the sum with an integral" that underlies the Bousso–Polchinski estimate of how many flux vacua lie below a given energy, with the exact constant appearing in (3.13). Milestones 4 and 5 certify the combinatorial and analytic constants of the Gaussian ensemble (4.6) on which the paper's densities (4.7)–(4.10) are built. None of these results is new mathematics: the goal is the J-dimensional analogue of the Gauss circle problem at leading order, and the milestones are classical. What the mission adds is a machine-checked version of the precise constants used in the paper.
Difficulty
The goal requires comparing a lattice-point count with a volume. The naive bound, counting unit cubes centred at lattice points, must be controlled uniformly: cubes meeting the boundary of the ball contribute an error of order RJ−1 with R=V/c, and one has to show that this is o(RJ). The volume formula for Euclidean balls expressed through the Gamma function, and its transport to the product space RJ with the sum-of-squares form, is further required infrastructure.
Formalization scope
Flux vectors are functions Fin J → ℤ; the count uses Set.ncard, whose value on an infinite set would be 0 — milestone 1 rules out that degenerate reading.
Continuum statements use the product Lebesgue measure on Fin J → ℝ (not EuclideanSpace), with the quadratic form c∑xi2 written out explicitly.
The Gaussian ensemble is formalised only for complex coefficients (the "GUE" case). For real coefficients the paper's constant (α/π)c(d,n) would not normalise the measure (the correct constant is (α/π)c(d,n)/2), so the real case is deliberately omitted.
The paper's finiteness conjecture (3.16) for full string compactifications, and the densities (4.7)–(4.10), are not formalised; they are not stated precisely enough in the source.
R. Bousso, J. Polchinski, Quantization of four-form fluxes and dynamical neutralization of the cosmological constant, JHEP 06 (2000) 006. https://arxiv.org/abs/hep-th/0004134
Gambini–Pullin 2014, Appendix A: nonlocal weights make the Lorentz-violating model integral smallResearch Paper
Motivation
Gambini and Pullin (IJMPD 23 (2014) 1442023) study quantum fields living on the discrete quantum spacetimes of spherically symmetric loop quantum gravity. Discreteness makes the field equations lattice-like and hence breaks Lorentz invariance. Collins, Perez, Sudarsky, Urrutia and Vucetich (PRL 93 (2004) 191301) argued that in interacting theories such Planck-scale violations feed, through renormalized loop diagrams, into large low-energy violations: a difference of second derivatives of the self-energy that should vanish by Lorentz invariance stays bounded away from zero. Gambini and Pullin argue that two exponential weights — a Gaussian fuzziness factor from the spread of the ADM mass, and a Lorentz-invariant nonlocal interaction factor of the type found in string field theory — make this quantity arbitrarily small.
Because the full self-energy calculation is lengthy, the paper's Appendix A replaces it by a two-dimensional model integral in which rotations play the role of Lorentz transformations and a parameter σ plays the role of lattice spacing. This mission formalizes the precise mathematical claims made about that model.
Setting
For real parameters σ≥0 define the denominator base and the model integrand
Dσ(x,y)=1+x2+1+σy2y2,fσ(x,y)=Dσ(x,y)2x2−y2.
The paper's integral (A.1) is I=∫R2fσ(x,y)dxdy. For σ=0 one has D0=1+x2+y2, which is rotation invariant.
(A.1) is only a formal expression: fσ is not Lebesgue integrable on R2 (for σ=0 it decays like r−2; for σ>0 it grows like −y2 along the y-axis). The mission therefore uses the disk-truncated integral
Iσdisk(R)=∫x2+y2≤R2fσ(x,y)dxdy,
which regularizes (A.1) in a rotation-invariant way.
The weighted model integral (A.2) is, for weights α,β,
I(α,β,σ)=∫R2e−αx2e−β(x2+y2)fσ(x,y)dxdy.
The first factor models the fuzziness (it acts on one direction only), and the second models the nonlocal interaction (rotation invariant here, Lorentz invariant in the physical case).
Formalization targets
Goal (Appendix A, sentence after (A.2))
"With suitable choices of α and β one can make the integral as small as desired":
∀σ>0,∀ε>0,∃α>0,∃β>0:∣I(α,β,σ)∣<ε.
Milestones
For σ=0 the integral vanishes: I0disk(R)=0 for every R.
For σ>0 it "does not vanish by a significant amount": Iσdisk(R)→−∞ as R→∞.
(A.2) is well defined: the weighted integrand is integrable for α≥0, β>0, σ≥0.
With only the rotation-invariant weight and σ=0, (A.2) still vanishes: I(0,β,0)=0 for β>0.
In the regime α∼β large: I(β,β,σ)→0 as β→∞, for each σ>0.
Significance
In the paper this model is the only precisely stated mathematical content backing the claim that the two exponential weights restore approximate Lorentz invariance. Formalizing it pins down exactly which statements hold (and in what sense the formal integral (A.1) "vanishes" or "does not vanish"), separating the rigorous content of the toy model from the physical argument it illustrates. The results are elementary real analysis; no machine-checked proofs of them are known to exist.
Difficulty
The main difficulty is that the unweighted integral (A.1) diverges, so both "vanishes" and "does not vanish" need a regularization. The weighted statements need integrability and dominated-convergence estimates on R2 and a change of variables (swapping x and y) for the symmetry claims. The divergence to −∞ in milestone 2 needs separate upper and lower estimates for the positive and negative parts of fσ on growing disks.
Formalization scope
All objects are real-valued functions on R×R with Lebesgue (product) measure. I(α,β,σ) is a Bochner integral over the whole plane; where the integrand is not integrable, the Lean integral is 0 by convention, which is why milestone 3 is included and all weighted statements assume β>0. The disk is the closed Euclidean disk {x2+y2≤R2}, not a sup-norm ball. The parameter σ is restricted to σ≥0 (or σ>0) wherever it matters, so that 1+σy2>0. The sentence in the paper "more precisely one needs α∼β and both larger than σ" is heuristic; only its sufficiency direction along α=β is formalized (milestone 5). No necessity claim is formalized, because a large β alone already makes I small.
Selected references
R. Gambini, J. Pullin, Emergence of stringlike physics from Lorentz invariance in loop quantum gravity, Int. J. Mod. Phys. D 23 (2014) 1442023. https://doi.org/10.1142/S0218271814420231
J. Collins, A. Perez, D. Sudarsky, L. Urrutia, H. Vucetich, Lorentz invariance and quantum gravity: an additional fine-tuning problem?, Phys. Rev. Lett. 93 (2004) 191301. https://doi.org/10.1103/PhysRevLett.93.191301
Full support of the zero-temperature Sherrington-Kirkpatrick order parameterOpen Problem
Motivation
A hierarchy of infinitely many overlap scales need not fill an interval. Full support asks whether an admissible zero-temperature SK minimizer leaves any gap below overlap one. The pinned manuscript supplies the research context.
Setting
An order parameter is a nonnegative, monotone, right-continuous integrable function on [0,1). The Parisi value is defined by a Brownian stochastic-control supremum. The Stieltjes measure μ lives on the subtype Time=[0,1); its support below is taken in that relative topology.
The theorem states that, for any probability space carrying a real Brownian motion B (a BrownianSystem W) and any order parameter γ on [0,1), if γ minimizes the Parisi functional over all order parameters, then a five-part full-support conclusion holds. An order parameter γ:[0,1)→ℝ is nonnegative, monotone, right-continuous and integrable (extended by zero outside [0,1)). For a time t and position x, the value is the supremum, over controls α progressive for the filtration generated by the Brownian increments after t and bounded by 1 in absolute value, of the expected payoff |x + B₁ − B_t + ∫_t^1 γ(s)α(s−t)ds| − ½∫_t^1 γ(s)α(s−t)²ds. The gradient and curvature are its first and second derivatives in x, and the Parisi functional is value at (0,0) minus ½∫_0^1 tγ(t)dt. Being a minimizer means the functional at γ is at most its value at every order parameter η. The conclusion says: (1) there is a measure μ on [0,1) with μ((−∞,t]) = γ(t) for every t in [0,1); (2) there is a diffusion X, a process progressive for the Brownian filtration that almost surely is continuous on [0,1], starts at 0, and satisfies X_t = B_t + ∫_0^t γ(s)·gradient(s,X_s)ds; (3) every such measure μ has full support, equal to all of [0,1); (4) γ is strictly increasing, γ(a)<γ(b) whenever a<b; and (5) for every such diffusion X and every t in [0,1), the expected square of the gradient at X_t equals t, and the expected square of the curvature at X_t equals 1.
Significance and status
The main target is the five-part full-support conclusion for every encoded minimizer and Brownian system. The separate value-consequences bundle is retained as an additional formal target. 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 conclusion couples support, strict increase, diffusion existence and derivative identities. Minimization alone is not an assumption of those conclusions.
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.
Additional published targets are included as separate references:
Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive DisorderOpen Problem
Motivation
Random site energies change the spectral behavior of a lattice Schrödinger operator. Identifying its almost-sure spectrum is one part of the planar Anderson problem. The pinned manuscript supplies the research context.
Setting
The lattice is the integer plane. A state is a square-summable complex function on its sites, and the potential at each site is independently uniform on the interval from −h to h, with h positive.
The theorem states that for every real h>0, for almost every disorder configuration v under disorderLaw(h), there exists a bounded complex-linear operator H on the Hilbert space ℓ²(ℤ², ℂ) of square-summable complex functions on the planar lattice ℤ×ℤ such that H is an Anderson operator for v, H is self-adjoint, and the spectrum of H in ℂ equals the real interval [-4-h, 4+h] (embedded in ℂ as the points with imaginary part 0). Here a configuration is a real-valued function v on lattice sites, and disorderLaw(h) is the infinite product measure over sites of the uniform distribution (Lebesgue measure conditioned on the interval) on [-h,h], so the potential values are independent. H is an Anderson operator for v when, for every u in ℓ² and every site x=(a,b), (Hu)(a,b) = u(a+1,b)+u(a-1,b)+u(a,b+1)+u(a,b-1)+v(a,b)u(a,b), the sum of the four nearest-neighbour values plus the local potential times u at x. The statement is recorded as an admitted theorem.
Significance and status
The selected goal asserts existence, self-adjointness and the spectrum interval. Pure-point spectral type, a complete eigenbasis and dynamical localization are not conclusions of this published target. 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 interval must be identified almost surely for an infinite random operator, including both exclusion of spectrum outside the interval and inclusion of its interior.
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, Pure-Point Spectrum for the Two-Dimensional Anderson Model at Every Positive Disorder, preprint, 2026. Manuscript.
Buffered comparison and stopping-band resolution in critical IsingOpen Problem
Motivation
Conditioning on an explored Ising interface fixes many spins and can create alternating signs. The source develops comparison estimates that remain valid with arbitrary common pinned spins. The source is OpenAI's September 2026 manuscript.
Setting
A ferromagnetic Ising law weights sign configurations by the exponential of nonnegative pair couplings plus real external fields. Two probability mixtures prescribe source spins on J, while the same spins are pinned on F and a target event is prescribed on I.
A comparison bound for a ferromagnetic Ising model on a finite graph with n vertices and m separately indexed edges (parallel edges allowed, no loops, nonnegative couplings K_e) and an arbitrary real external field h. A configuration σ has energy equal to the sum over edges of K_e σ_u σ_v plus the sum over vertices of h_v σ_v, with spins ±1, and weight exp(energy). Take pairwise disjoint vertex sets I, J, F, and kept vertices i ∈ I and j ∈ J that lie outside F. Fix spin configurations a and τ. For a configuration b, the conditional probability of σ_I = a given σ_J = b and σ_F = τ is the ratio of the total weight of configurations satisfying all three agreements to the total weight of those agreeing with b on J and τ on F. For any two probability mixtures mix and mix' on configurations (nonnegative weights summing to 1), the mixture probability is the mix-weighted average of these conditional probabilities over b; only the restriction of b to J matters. Let q be the terminal connection probability in the zero-field random-cluster (FK) model with q=2 on the graph with F deleted (not pinned): edges e are open with probability 1-exp(-2K_e), the vertices of I are identified together and those of J are identified together, and q is the probability that i and j lie in the same cluster. Then the ratio of the mixture probability under mix to that under mix' lies between exp(-4 artanh q) and exp(4 artanh q), for every such pair of mixtures, uniformly in h, a and τ. The theorem is stated with its proof admitted (sorry).
The estimate controls likelihood ratios uniformly over mixtures, fields, and common signs. It is the finite-graph comparison component of the manuscript. 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
Pinning a vertex changes neighboring fields; deleting it does something different. The comparison probability must come from the graph with the common pins deleted, with each terminal class contracted separately.
Formalization scope
The graph is finite with indexed edges, allowing parallel edges and excluding loops before contraction. The sets I,J,F are pairwise disjoint and each terminal class contains a supplied vertex. The zero-field random-cluster weight has cluster parameter two. The stopping-band approximation theorem is not an attached target.
The shared definitions are supplied by BufferedIsing. 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, Buffered comparison and stopping-band resolution in critical Ising, preprint, September 2026. Manuscript.
A radial continuum phase transition with algebraic decayResearch Paper
Motivation: continuum phase transitions with a power-law tail
Whether identical classical particles in R3, interacting only through a stable radial pair potential, can undergo a phase transition is a classical existence problem of rigorous statistical mechanics, highlighted in Simon's list of problems in mathematical physics (Simon 1984). A transition shows up as a singularity of the thermodynamic free energy. Earlier rigorous continuum transitions rely on extra structure — two species, many-body terms, hard cores, or interactions defined through a fixed partition into boxes — or on a mean-field limit in which the potential itself changes. A natural requirement for a satisfactory answer is a single fixed pair potential with a bounded core and an explicit integrable power-law tail.
Timeline
1965 — Motzkin and Straus's weighted-graph maximization, later used for occupation bounds (Motzkin–Straus 1965).
1966 — Lebowitz and Penrose: rigorous van der Waals–Maxwell theory in the Kac limit (Lebowitz–Penrose 1966).
1971 — Ruelle: transition for a symmetric two-species continuum system (Ruelle 1971).
1973 — Gerardi, Marchioro, Olivieri and Presutti extend the Lebowitz–Penrose limit to superstable references (GMOP 1973).
1984 — Simon lists the problem among fifteen problems in mathematical physics.
1998–1999 — Lebowitz, Mazel and Presutti: liquid–vapor transition with attractive pair and repulsive four-body interactions (PRL 1998, J. Stat. Phys. 1999).
2026 — He, Jauslin, Lebowitz and Peled: transition for a finite-range box-modified Kac pair interaction (CMP 2026); Dereudre and Renaud-Chan: density coexistence for saturated many-body interactions (arXiv:2602.11078).
2026 — Two OpenAI preprints (OpenAI Math Release, September 24, 2026): a radial potential with divergent core and o(r−3) tail with a temperature singularity, and the present A radial continuum phase transition with algebraic decay, which claims a bounded continuous potential with ∣ϕ(r)∣≤Cr−3−1/32. Neither is peer reviewed, and the theorem is not formally verified.
Setting
Particles live in R3; a radial pair potential is a function ϕ:[0,∞)→R (in Lean, ℝ≥0 → ℝ) applied to pair distances. For the cube ΛL=[0,L]3 and N≥0,
The potential is stable if Uϕ≥−BN for all configurations. The canonical free energy at density ρ is
f(β,ρ)=−L→∞limβL31logZL,⌊ρL3⌋(β).
The packing constant is p=limL→∞ML/L3, where ML is the largest number of points in [0,L]3 at mutual distance ≥1; in Lean IsPackingDensity p asserts this limit. StrictTemperatureCorner f βc asserts finite left and right derivatives at βc with the right one strictly smaller, and non-differentiability.
Formalization targets
Milestone: the corner at the central density
At the single density ρ=5p/3: there are a bounded continuous stable ϕ with ∣ϕ(r)∣≤Cr−3−1/32 for r≥1 and βc∈[7/8,9/8] such that f(⋅,5p/3) exists for all β>0 and
f−′(βc,5p/3)>f+′(βc,5p/3).
Goal: a common corner on a density interval
There are a bounded continuous ϕ, constants B,C>0 with
i<j∑ϕ(∣xi−xj∣)≥−BN,∣ϕ(r)∣≤Cr−3−1/32(r≥1),
an open interval I=(5p/3−η,5p/3+η)⊂(0,∞) and one βc∈[7/8,9/8] such that for every ρ∈I the free energy f(β,ρ) exists and is finite for every β>0, and
f−′(βc,ρ)>f+′(βc,ρ).
This is Theorem 1.1 of the source. Both statements are published on the platform with status Open.
Significance
The result itself. The theorem gives a single-species, bounded, continuous radial pair potential with an explicit integrable power-law tail whose canonical free energy has a strict temperature corner at one critical inverse temperature for a whole interval of densities. The interaction is a genuine radial function of separations with all long-range terms kept; boxes appear only in the estimates. It does not treat Lennard–Jones-type potentials and does not identify the phases as conventional fluids. The companion preprint has a divergent core but only an o(r−3) tail; the fixed power margin 1/32 here needs a quantitative range estimate not present there.
Formalizing it. The statement fixes the model completely (free boundary conditions on [0,L]3, Lebesgue measure without temperature normalization, 1/N!, ⌊ρL3⌋ particles), so a formal proof would settle exactly which version of the problem is solved. The infrastructure (thermodynamic limits, convex duality for pressures, Kac comparisons) is reusable for the companion mission.
Difficulty
The Lebowitz–Penrose theory produces non-convex mean-field free energies only in the limit where the attraction range tends to infinity, and that limiting object is not the free energy of any fixed potential. A single potential must therefore contain infinitely many attractions at growing ranges, and the required singularity must survive all of them. Density coexistence at fixed temperature does not by itself give a temperature corner at a fixed density: two supporting slopes with equal density coordinate and different energy coordinates are needed. A pointwise power bound constrains how strong the successive attractions may be relative to their ranges, which is why a quantitative comparison with an explicit error is required.
Formalization scope
Positions are EuclideanSpace ℝ (Fin 3); distances enter through nndist, so the potential is a function on ℝ≥0. Boundedness, continuity, stability with B>0, and decay with C>0 are separate conjuncts.
p is existentially quantified but pinned by IsPackingDensity p (a limit), and p>0 is required; packingNumber is a sSup over a bounded set of naturals.
IsCanonicalFreeEnergy φ ρ f asserts −logZ/(βL3)→f(β) for every β>0, so f is determined on (0,∞); one-sided derivatives use HasDerivWithinAt on Iic βc and Ici βc.
The goal requires the interval to lie in (0,∞) and βc to be independent of ρ.
Needed infrastructure: superstability and occupation moments, existence of thermodynamic limits and their convex duality, a Motzkin–Straus bound, quantitative Kac comparison, and subdifferential persistence arguments.
T. S. Motzkin and E. G. Straus, Maxima for graphs and a new proof of a theorem of Turán, Canad. J. Math. 17 (1965), 533–540. https://doi.org/10.4153/CJM-1965-053-6
J. L. Lebowitz and O. Penrose, Rigorous treatment of the van der Waals–Maxwell theory of the liquid-vapor transition, J. Math. Phys. 7 (1966), 98–113. https://doi.org/10.1063/1.1704821
D. Ruelle, Superstable interactions in classical statistical mechanics, Comm. Math. Phys. 18 (1970), 127–159. https://doi.org/10.1007/BF01646091
A. Gerardi, C. Marchioro, E. Olivieri and E. Presutti, Van der Waals–Maxwell theory, Lebowitz–Penrose limit and superstable interactions, Comm. Math. Phys. 29 (1973), 219–231. https://doi.org/10.1007/BF01645248
J. L. Lebowitz, A. E. Mazel and E. Presutti, Liquid–vapor phase transitions for systems with finite-range interactions, J. Stat. Phys. 94 (1999), 955–1025. https://doi.org/10.1023/A:1004591218510
Q. He, I. Jauslin, J. Lebowitz and R. Peled, Liquid-vapor transition in a model of a continuum particle system with finite-range modified Kac pair potential, Comm. Math. Phys. 407 (2026), 240. https://doi.org/10.1007/s00220-026-05735-w
D. Dereudre and C. Renaud-Chan, First-order phase transition for Gibbs point processes with saturated interactions, arXiv:2602.11078 (2026). https://arxiv.org/abs/2602.11078v1
A continuum temperature singularity for a radial pair potentialResearch Paper
Motivation: phase transitions for continuum particles
Whether a single species of classical particles in R3, interacting only through a stable radial pair potential, can undergo a phase transition is one of the long-standing existence questions of rigorous statistical mechanics; it appears in Simon's list of problems in mathematical physics (Simon 1984). A phase transition is detected as a loss of regularity of the thermodynamic free energy. Lattice models and continuum models with extra structure (several species, many-body terms, hard cores, box-restricted interactions) were handled long ago; ordinary pair potentials finite at every positive separation remained the difficult case.
Timeline
1966 — Lebowitz and Penrose give the rigorous van der Waals–Maxwell theory in the Kac (long-range) limit (Lebowitz–Penrose 1966).
1970 — Ruelle's superstability framework for classical continuum systems (Ruelle 1970).
1971 — Ruelle proves a transition for the two-species Widom–Rowlinson model (Ruelle 1971).
1975 — Israel's convex construction gives coexistence for hard-core continuum particles with a spherically symmetric pair perturbation (Israel 1975).
1984 — Simon lists the continuum phase-transition problem among fifteen problems in mathematical physics.
1998–1999 — Lebowitz, Mazel and Presutti prove a liquid–vapor transition for attractive pair plus repulsive four-body interactions (PRL 1998, J. Stat. Phys. 1999).
2025–2026 — He, Jauslin, Lebowitz and Peled: coexistence for a box-modified Kac pair interaction (CMP 2026); Dereudre and Renaud-Chan: low-temperature coexistence for saturated (many-body) interactions (arXiv:2602.11078).
2026 — An OpenAI preprint, A continuum temperature singularity for a radial pair potential (OpenAI Math Release, September 24, 2026), claims an admissible radial pair potential in R3 whose canonical free energy has a temperature corner at one critical inverse temperature for every density in an open interval. It has not been peer reviewed and the theorem is not formally verified.
Setting
A radial pair potential is Φ(x)=ϕ(∣x∣) on R3 with Φ(0)=+∞. It is admissible if Φ is Borel measurable, ϕ is finite and locally bounded on (0,∞), and
ϕ(r)→+∞ as r↓0;
ϕ≤−a<0 on some interval [r1,r2] with 0<r1<r2;
∫R∞r2∣ϕ(r)∣dr<∞ for some R;
(stability) UN(x1,…,xN)=∑i<jΦ(xi−xj)≥−BN for all N and all configurations.
With ΛL=[−L/2,L/2]3 and free boundary conditions, the canonical partition function is
ZΛL,N(β)=N!1∫ΛLNe−βUNdx,ZΛL,0=1,e−β⋅∞=0,
and the canonical free-energy density at density ρ>0 is
f(β,ρ)=−β1L→∞limL−3logZΛL,⌊ρL3⌋(β).
In Lean, radialPotential φ takes values in EReal (value ⊤ at the origin), energy is the pair sum, partition φ β L N is the integral above, and HasCanonicalFreeEnergy φ f says L−3logZ→−βf(β,ρ) for all β,ρ>0.
Formalization targets
Goal: a strict temperature corner throughout a density interval
There exist an admissible ϕ with ϕ(r)=o(r−3) as r→∞, a free-energy function f realizing the canonical limit for every β>0,ρ>0, a nonempty open interval I⊂(0,∞) and one βc∈(1/2,3/2) such that for every ρ∈I the one-sided β-derivatives exist and
Dβ−f(βc,ρ)>Dβ+f(βc,ρ).
This is Theorem 1.1 of the source (MainStatement). The goal is published on the platform with status Open.
Significance
The result itself. The theorem exhibits a genuine one-species pair potential, finite at every positive separation and with all cross-cube interactions retained, whose canonical free energy is not C1 in temperature at a fixed density, with one critical temperature for an entire interval of densities. It does not concern the Lennard–Jones potential, does not identify the coexisting states as liquid/vapor/solid, and does not give a power-law tail ∣ϕ(r)∣≤Cr−3−ε; formulations of the historical problem that require such a margin are not resolved by it. A companion preprint (A radial continuum phase transition with algebraic decay) gives a bounded potential with tail r−3−1/32.
Formalizing it. The statement is fully explicit about the model, normalization, and boundary conditions, so a formal proof would remove any ambiguity about which version of the problem is solved. It requires thermodynamic limits for superstable continuum systems, convex-analytic facts about pressures, and a Kac/Lebowitz–Penrose comparison with uniform estimates, none of which is currently in Mathlib.
Difficulty
Density coexistence for a grand-canonical system does not by itself produce a temperature corner at a fixed density; one needs two supporting slopes of the pressure with the same density coordinate and different energy coordinates. Classical tools for transitions (Peierls arguments, reflection positivity, Kac limits) either need lattice structure, many-body terms, or a limit in which the potential itself changes. Here a single fixed potential must be built through infinitely many attractions at growing ranges, and the convex supporting-slope information must survive every approximation step while preserving stability and integrable tails.
Formalization scope
Space is EuclideanSpace ℝ (Fin 3); the potential is EReal-valued with ⊤ at the origin, and the Boltzmann weight is 0 when the energy is ⊤. Stability is stated in EReal, which also rules out ⊥.
Free boundary conditions on the closed cube [−L/2,L/2]3, Lebesgue measure without temperature normalization, 1/N!, and N=⌊ρL3⌋ via Nat.floor; the limit is over real L→∞.
One-sided derivatives are HasDerivWithinAt on Iic βc and Ici βc, so both are finite real numbers; f is pinned by HasCanonicalFreeEnergy for every β>0,ρ>0, so it cannot be chosen freely near βc.
I is open, order-connected, nonempty and contained in (0,∞); βc is independent of ρ.
Needed infrastructure: superstability estimates, existence of canonical and grand-canonical thermodynamic limits, Legendre duality for pressures, the Lebowitz–Penrose limit. These are reusable for the companion mission.
J. L. Lebowitz and O. Penrose, Rigorous treatment of the van der Waals–Maxwell theory of the liquid-vapor transition, J. Math. Phys. 7 (1966), 98–113. https://doi.org/10.1063/1.1704821
D. Ruelle, Superstable interactions in classical statistical mechanics, Comm. Math. Phys. 18 (1970), 127–159. https://doi.org/10.1007/BF01646091
R. B. Israel, Existence of phase transitions for long-range interactions, Comm. Math. Phys. 43 (1975), 59–68. https://doi.org/10.1007/BF01609141
J. L. Lebowitz, A. E. Mazel and E. Presutti, Liquid–vapor phase transitions for systems with finite-range interactions, J. Stat. Phys. 94 (1999), 955–1025. https://doi.org/10.1023/A:1004591218510
Q. He, I. Jauslin, J. Lebowitz and R. Peled, Liquid–vapor transition in a model of a continuum particle system with finite-range modified Kac pair potential, Comm. Math. Phys. 407 (2026), 240. https://doi.org/10.1007/s00220-026-05735-w
D. Dereudre and C. Renaud-Chan, First-order phase transition for Gibbs point processes with saturated interactions, arXiv:2602.11078 (2026). https://arxiv.org/abs/2602.11078v1
Critical slowing down in the Sherrington–Kirkpatrick modelResearch Paper
Motivation
The Sherrington–Kirkpatrick (SK) model is the mean-field spin glass, and β=1 is its equilibrium critical point. Physicists expect critical slowing down: at a phase transition, local dynamics needs time growing polynomially in the system size to relax. For the SK model this was studied through linearized mean-field theory, dynamical equations for correlation and response, and simulations of equilibrium autocorrelations on an n2/3 time scale. Rigorous results on Glauber dynamics had concentrated on high temperature, where mixing is fast. This mission asks for a rigorous total-variation obstruction at β=1: most equilibrium configurations, used as starting states, are still far from equilibrium after o(n2/3) time.
The source of this mission is an OpenAI preprint dated September 24, 2026.
Setting
At β=1 and zero field, let Wij∼N(0,1/n) be independent for i<j and
μW(x)∝exp(i<j∑Wijxixj),x∈{−1,1}n.
A heat-bath update at site i resamples xi from its conditional law given the other spins. In continuous time every site has an independent rate-one clock (generator ∑i(Ki−I)); in discrete time each step updates a uniformly chosen site (kernel n−1∑iKi). For a fixed start x, dtct(W,x) and dkdt(W,x) are the total-variation distances to μW.
Lean: OAI.CriticalSK.realized_equilibrium_initial_states, open on the platform.
Milestone: Theorem 1.2 (covariance and linear tests)
With Σ=CovμW(x), D(f)=∑iμW[Var(f∣x−i)] and Rlin=supa=0Var(aTx)/D(aTx): for every Mn→∞, with probability tending to one,
∥Σ∥,Rlin∈[n2/3/Mn,Mnn2/3].
Milestones: Theorem 1.3 (critical mixing bounds)
For every fixed ϵ>0,
P{n2/3−ϵ≤tmix≤eϵn}→1,P{n5/3−ϵ≤kmix≤eϵn}→1,
with a separate Lean target for the lower bounds alone.
Significance
The theorem shows that at criticality the slow direction is visible from typical equilibrium starts, not only from adversarial ones, and pins the time scale n2/3 to the spectral edge of the coupling matrix. Theorem 1.2 identifies the covariance scale n2/3, contrasting with bounded covariance at every β<1. A companion OpenAI preprint uses Theorems 1.1 and 1.2 as inputs for matching upper bounds n2/3+o(1).
The results are proved in an OpenAI preprint; they have not been peer reviewed, and no machine-checked proof exists.
Difficulty
Averaging over the starting state gives back the stationary law, so the obstruction must be proved start by start. The slow observable is the projection vTx on the top eigenvector of the coupling matrix; the difficulty is the static estimate that this projection is rarely small on the n1/3 scale under the Ising Gibbs law. This requires edge-of-spectrum random matrix estimates, a precise comparison between the Ising law and a tilted spherical law, and control of the conditioning on the sphere.
Formalization scope
hamiltonian W x = ∑_{i<j} W_{ij} x_i x_j; disorderLaw n is the product of gaussianReal 0 (1/n) over pairs i<j.
siteKernel W i is the heat-bath kernel on configurations agreeing off i; discreteKernel = n^{-1}∑_i siteKernel; continuousKernel W t = exp(t ∑_i (siteKernel W i - 1)).
continuousGoodMass/discreteGoodMass are the Gibbs masses of starts with distance >1/4; convergence in probability is written as P(∣mass−1∣≥δ)→0 for all δ>0.
covarianceNorm is the Euclidean operator norm; linearRayleigh is a real sSup over nonzero a (the quotient is bounded and the set nonempty).
Mixing times are sInf over times at which all starts are within 1/4.
Infrastructure: finite continuous-time Markov chains (matrix exponentials), GOE edge estimates, tridiagonal models, spherical integrals. The intermediate results Proposition 3.1, Theorem 5.3 and Proposition 5.4 are natural further milestones.
B. Landon, Free energy fluctuations of the two-spin spherical SK model at critical temperature, J. Math. Phys., 2022. https://doi.org/10.1063/5.0054298
Exponential decay in two-dimensional classical O(n) modelsResearch Paper
Motivation: mass generation in two-dimensional spin systems
The classical O(n) model (for n=3, the classical Heisenberg model) places a unit vector σx∈Sn−1 at each site of the square lattice and favours alignment of neighbouring spins. It is the basic lattice model of a system with continuous symmetry. In two dimensions the Mermin–Wagner theorem rules out spontaneous magnetization at every positive temperature, but it does not say how fast spins decorrelate. For n=2 (the plane rotator) correlations decay only polynomially at low temperature — the Berezinskii–Kosterlitz–Thouless phase. For n≥3, Polyakov's 1975 renormalization-group argument predicts mass generation: exponential decay of correlations at every positive temperature, the lattice analogue of asymptotic freedom in four-dimensional non-Abelian gauge theory. A rigorous proof at low temperature has long been a central question of rigorous statistical mechanics.
Timeline
1966–1967 — Mermin and Wagner prove absence of order for quantum Heisenberg models (PRL 1966); Mermin gives a classical argument (J. Math. Phys. 1967).
1971–1973 — Berezinskii (Sov. Phys. JETP 1971) and Kosterlitz–Thouless (J. Phys. C 1973) describe the slow-decay phase for two-component spins.
1975 — Polyakov predicts mass generation for n≥3 at every positive temperature (Phys. Lett. B 1975).
1977 — McBryan and Spencer prove algebraic upper bounds on two-dimensional correlations by complex spin rotations (CMP 1977); extended by Gagnebin and Velenik (CMP 2014).
1980 — Aizenman and Simon prove exponential decay at high temperature from local Ward identities and a finite-size criterion (CMP 1980); Kupiainen proves a mass gap in the large-n regime via the 1/n expansion (CMP 1980).
1981 — Fröhlich and Spencer prove the Kosterlitz–Thouless transition: polynomial lower bounds for the plane rotator at low temperature (CMP 1981), so no all-temperature exponential decay is possible for n=2.
2002 — Patrascioiu and Seiler study percolation of spin regions as a route to a possible massless phase for n=3 (J. Stat. Phys. 106, 2002).
2025 — Aru, Garban and Sepúlveda record the all-temperature exponential-decay assertion as an open conjecture (CMP 2025).
2026 — An OpenAI preprint, Exponential decay in two-dimensional classical O(n) models (OpenAI Math Release, September 23, 2026), claims exponential decay for every n≥3 and every finite β, uniformly over finite free-boundary subgraphs. The preprint has not been peer reviewed and its theorem is not formally verified.
Setting
Let G=(V,E) be a finite subgraph of the nearest-neighbour square lattice Z2, and let b=(be)e∈E be edge strengths with 0≤be≤β. Put a spin σx∈Sn−1 at each vertex. The free-boundary Gibbs measure is
where ωn−1 is the uniform probability measure on the unit sphere and ZG,b(n) is the normalizing integral. There are no boundary spins and no external field. The two-point function is ⟨σx⋅σy⟩G,b(n), and ∥x−y∥2 is Euclidean distance.
For every integer n≥3 and every β>0 there are A<∞ and m>0 such that, for every finite nearest-neighbour subgraph G of Z2, every b∈[0,β]E and all x,y∈V,
0≤⟨σx⋅σy⟩G,b(n)≤Ae−m∥x−y∥2.
The constants depend only on n and β and may deteriorate as β→∞. The goal statement is published on the platform with status Open: no machine-checked proof exists yet.
Significance
The result itself. Uniformity over all finite subgraphs and strengths gives the same bound for free-boundary limits on boxes (Corollary 1.2 of the source) and for their subsequential infinite-volume limits, hence finite susceptibility. It confirms rigorously, for the spin two-point function, the mass-generation prediction for n≥3 at arbitrarily low temperature, the regime left open by high-temperature and large-n results, and contrasts sharply with the n=2 case. The source does not claim a transfer-matrix gap for all local observables, correlation-length asymptotics, or uniqueness of Gibbs states.
Formalizing it. The statement is a uniform estimate on explicit finite-dimensional integrals; a formal proof would certify a result the physics literature has expected since 1975. Groundwork includes Gibbs measures on products of spheres, rotation (Ward) identities, and random-cluster/sign-cluster representations, reusable for other lattice spin models.
Difficulty
Mermin–Wagner and McBryan–Spencer type arguments only show that order is destroyed and give polynomial bounds; they allow a zero decay rate and cannot distinguish n≥3 from n=2. Any proof must use the non-Abelian nature of the symmetry group, since the conclusion fails for n=2. Exponential decay at high temperature (small β) follows from expansions, but at large β spins are strongly aligned over long distances and no small parameter is available. Reducing to three components by conditioning produces random, dependent couplings, so the three-component estimate must hold uniformly over all strength arrays.
Formalization scope
Sites are ℤ × ℤ; a LatticeGraph is a finite vertex set with a finite set of positively oriented nearest-neighbour edges (each undirected edge represented once). Strengths are functions G.edges → ℝ with 0≤be≤β, so deleting edges and weakening couplings are covered.
Spins live in Metric.sphere 0 1 of EuclideanSpace ℝ (Fin n); the single-site law is the normalized sphere measure (toSphere of Lebesgue measure); the configuration law is the product measure.
correlation is the ratio of integrals ∫σx⋅σyeH/∫eH; the partition function is strictly positive, so the division is genuine.
The quantifier order is ∀n≥3,∀β>0,∃A,m with m>0, then ∀G,b,x,y: constants may not depend on the graph, the strengths or the points. Distance is the Euclidean norm on Z2⊂R2.
Infrastructure needed: integration on spheres, differentiation of partition functions under spin rotations, FKG/Ginibre inequalities, Edwards–Sokal type couplings and percolation crossing estimates.
Selected references
N. D. Mermin and H. Wagner, Absence of ferromagnetism or antiferromagnetism in one- or two-dimensional isotropic Heisenberg models, Phys. Rev. Lett. 17 (1966), 1133–1136. https://doi.org/10.1103/PhysRevLett.17.1133
O. A. McBryan and T. Spencer, On the decay of correlations in SO(n)-symmetric ferromagnets, Comm. Math. Phys. 53 (1977), 299–302. https://doi.org/10.1007/BF01609854
M. Aizenman and B. Simon, Local Ward identities and the decay of correlations in ferromagnets, Comm. Math. Phys. 77 (1980), 137–143. https://doi.org/10.1007/BF01982713
J. Fröhlich and T. Spencer, The Kosterlitz–Thouless transition in two-dimensional Abelian spin systems and the Coulomb gas, Comm. Math. Phys. 81 (1981), 527–602. https://doi.org/10.1007/BF01208273
M. Gagnebin and Y. Velenik, Upper bound on the decay of correlations in a general class of O(N)-symmetric models, Comm. Math. Phys. 332 (2014), 1235–1255. https://doi.org/10.1007/s00220-014-2075-0
J. Aru, C. Garban and A. Sepúlveda, Percolation for 2D classical Heisenberg model and exit sets of vector valued GFF, Comm. Math. Phys. 406 (2025). https://doi.org/10.1007/s00220-024-05208-y
Peres-Terno: the no-communication theorem for commuting Kraus operatorsResearch Paper
Motivation
Two observers, Alice and Bob, share a quantum system. Alice performs some intervention (a measurement, possibly followed by discarding part of her apparatus) and Bob, somewhere else, performs his own. If the statistics of Bob's outcomes could depend on what Alice chose to do, Alice could send Bob a message through the shared system alone, and if the two interventions are spacelike separated this would be a signal faster than light. Quantum mechanics and special relativity coexist peacefully only because this does not happen: the no-communication theorem guarantees that Bob's marginal statistics are independent of Alice's intervention whenever the two interventions are "local" to different parts of the system.
The review article of Peres and Terno, Quantum information and relativity theory (Rev. Mod. Phys. 76, 2004), develops the operational toolkit of quantum information (Kraus matrices, positive-operator-valued measures, completely positive maps) in Sec. II.D and then derives, in Sec. II.E, a sufficient algebraic condition for the absence of instantaneous information transfer: all of Alice's Kraus matrices commute with all of Bob's (their Eq. (9)). This mission formalizes that derivation together with the facts about Kraus matrices and complete positivity that the same pages state.
Setting
A quantum state on a finite-dimensional Hilbert space Cd is a density matrixρ: a positive semidefinite d×d complex matrix with trρ=1.
An intervention with outcomes μ is described by Kraus matricesAμm, where the label m ranges over a finite set indexing the subsystems discarded at the end of the interaction. When outcome μ occurs, the state is updated (Eq. (6)) to the unnormalized matrix
ρμ′=m∑AμmρAμm†,
and the probability of outcome μ is pμ=trρμ′. The matrices
Eμ=m∑Aμm†Aμm
(Eq. (8)) are the POVM elements; the intervention is complete when ∑μEμ=1.
A map T on matrices is positive if it sends positive semidefinite matrices to positive semidefinite matrices, and completely positive if T⊗1, acting blockwise on matrices over Cd⊗Cn, is positive for every ancilla dimension n.
For the no-communication theorem, Alice's Kraus matrices Aμm and Bob's Kraus matrices Bνn act on the same finite-dimensional space. The probability that Bob obtains ν, irrespective of Alice's outcome, is (Eq. (10))
pν=μ∑tr(m,n∑BνnAμmρAμm†Bνn†).
Formalization targets
Goal: no-communication (Sec. II.E, Eqs. (9)-(11))
If [Aμm,Bνn]=0 for all μ,m,ν,n, Alice's POVM is complete, and ρ is a density matrix, then for every outcome ν of Bob
so all of Alice's operators disappear from Bob's statistics.
Milestones (Sec. II.D-II.E)
Eq. (7): ∑mtr(AμmρAμm†)=tr(ρEμ).
Eq. (8): every Eμ is positive semidefinite.
Eqs. (7)-(8): for a density matrix and a complete POVM, the pμ are nonnegative reals summing to 1.
Eq. (6) defines a completely positive map.
Eq. (6) is the most general completely positive linear map: every completely positive linear map between matrix algebras has a finite Kraus representation.
Time reversal (transposition, i.e. complex conjugation of a Hermitian ρ) is a positive map,
but it is not completely positive.
The exchange step of Sec. II.E: under the commutation hypothesis, tr∑m,nBνnAμmρAμm†Bνn†=tr(Eμ∑nBνnρBνn†).
Significance
The no-communication theorem is the consistency check between quantum measurement theory and relativistic causality, and it is the starting point of the relativistic measurement theory developed in Sec. III of the review. The commutation condition (9) is exactly what local quantum field theory provides for spacelike separated regions, so this algebraic form is the one later used for microcausality arguments. The Kraus representation (milestones 4-5) is a basic structural theorem of quantum information theory, and the failure of complete positivity for transposition (milestones 6-7) underlies the partial-transpose entanglement criterion.
The results are classical and their proofs are known; the mission produces machine-checked versions on top of Mathlib's matrix library. The finite Kraus representation theorem (milestone 5) requires Choi-matrix machinery that is not, to the knowledge of this proposal, available in Mathlib in this form; it is reusable well beyond this mission.
Difficulty
The goal and milestones 1-3 and 8 are finite-dimensional trace manipulations; the care needed is in keeping the order of products right, using the adjoint of the commutation relation, and summing over indices in the correct order. Milestone 7 needs an explicit entangled witness on C2⊗Cn. Milestone 5 is the substantial one: the obvious approach of writing T(ρ) in a basis does not produce Kraus operators directly; a positivity argument (via the Choi matrix of T and its spectral decomposition) is needed.
Formalization scope
All Hilbert spaces are finite dimensional: matrices are indexed by arbitrary finite types with complex entries. Outcome sets and discarded-subsystem label sets are finite types; Alice's and Bob's label sets may depend on the outcome. Kraus matrices for the single-intervention milestones may be rectangular (e×d), reflecting that the system after the intervention may differ from the original one; in the no-communication theorem both observers' matrices are square on a common space. The order on C used for "nonnegative probability" is the standard partial order (z≥0 iff z is real and nonnegative). Complete positivity quantifies over ancillas Cn for every n∈N, with T⊗1 acting blockwise. Time reversal is encoded by the linear map ρ↦ρT; on Hermitian matrices this coincides with complex conjugation, and only the linear extension gives a meaningful complete-positivity statement.
The goal keeps the hypotheses of the source setting (both POVMs complete, ρ a density matrix); none of them can be dropped silently by a degenerate encoding, and the conclusion is an identity of complex numbers, so no hypothesis is vacuous: for instance, single-outcome trivial interventions with A=B=1 satisfy all of them.
Note: the sentence on p. 100 of the source claiming that commuting POVM elements are necessarily orthogonal projections is not included; as stated it fails (e.g. E1=E2=211).
Assumptions of Physics III: Properties, Quantities and Natural OrdersTextbook
Motivation
This is the third mission of the series on Assumptions of Physics by G. Carcassi and C. A. Aidala (book, v3.0, 2025), formalizing the order-theoretic core of Part II, Chapter 3, "Properties and quantities". The chapter explains when the possibilities of an experiment can be labelled by numbers: a domain can be described by a quantity exactly when its possibilities already carry a linear order whose order topology is the natural topology. It then shows that integer-valued quantities correspond to sparse orders and decidable domains, and real-valued quantities to dense, complete, separable orders. The mission imports the definitions of mission I (Assumptions of Physics I), which must be launched first.
Setting
For an experimental domain D with possibilities X and natural topology TX (mission I), a property with values in a topological space Qfully characterizesD if it is a homeomorphism q:X→Q. A quantity is a property whose value space (Q,≤) is linearly ordered and carries the order topology. A linear order on X is a natural order if its order topology equals TX. A linear order is sparse if every chain between two elements is finite and dense if between any two elements there is an infinite chain; it is complete if every non-empty bounded subset has a supremum.
Formalization targets
Goal (Theorem 3.9, Property ordering theorem)
D fully characterized by (Q,≤,q)⟺∃ natural order ⪯ on X with (X,⪯)≅(Q,≤).
Milestones
Proposition 3.14: for a natural order, each "x<x1" is verifiable and x1≤x2⟺ "x<x1" ≼ "x<x2".
Proposition 3.42: sparse linear orders are exactly the contiguous subsets of Z (up to isomorphism).
Corollary 3.48: dense in the book's sense iff between two elements there is always a third.
Theorem 3.51: dense, complete linear orders with a countable dense subset are exactly the contiguous subsets of R.
Theorem 3.44 (1⇔2): natural sparse order iff fully characterized by a discrete quantity.
Proposition 3.46: decidable iff fully characterized by a discrete quantity.
Theorem 3.53 (1⇔2): natural dense complete separable order iff fully characterized by a continuous quantity.
Propositions 3.55, 3.56: the order topology on R is generated by rational open intervals, and its open sets are countable unions of open intervals.
Significance
These results say that numerical labels are not added to experimental domains from outside: an integer or real quantity can be assigned only when the domain already has the corresponding order structure, and that order is fixed by narrowness of verifiable statements. Theorem 3.51 is a classical characterization of real intervals that the book takes without proof. The results are proved informally in the book (3.51 is only sketched there); no machine-checked formalization of the domain-level statements is known to the drafters.
Difficulty
Theorem 3.9 needs transport of a linear order along a homeomorphism and the fact that order isomorphisms are homeomorphisms of order topologies. Theorem 3.51 needs the uniqueness of Dedekind completions of a countable dense order and must handle every kind of endpoint behaviour of a contiguous subset of R. Proposition 3.46 must cover finite as well as infinite domains: the book's proof uses a bijection with Z, which exists only for countably infinite possibility sets.
Formalization scope
Quantities are types Q with Mathlib's LinearOrder, TopologicalSpace and OrderTopology; full characterization is Nonempty (D.Possibility ≃ₜ Q); a natural order is a LinearOrder structure on D.Possibility whose Preorder.topology equals the natural topology. "Contiguous subset" is Set.OrdConnected. For continuous quantities the subset U⊆R carries its own order topology, as in Definitions 3.6 and 3.52. In Theorems 3.44 and 3.46 the value type ranges over Type, which is enough because sparse orders are countable. Sections 3.3 and 3.6 (references and their ordering, statement (3) of Theorems 3.44 and 3.53, Theorem 3.38) are left for a later mission: they need a separate formal theory of references.
Selected references
G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 3 "Properties and quantities", pp. 169–195.
Assumptions of Physics II: Inference and Causal Relationships Between Experimental DomainsTextbook
Motivation
This is the second mission of the series on Assumptions of Physics by G. Carcassi and C. A. Aidala (book, v3.0, 2025), formalizing Part II, Chapter 2, "Domain combination and relationships". The chapter asks when the outcome of one experiment can be inferred from another (e.g. temperature from the height of a mercury column), and shows that such inference relationships between verifiable statements correspond to causal relationships between possibilities, which are continuous maps of the natural topologies. It builds on the definitions of the first mission (Assumptions of Physics I), which must be launched first because this mission imports its definition file.
Setting
Statements are truth sets s⊆Ω over the possible assignments Ω of a fixed logical context; an experimental domainD, its possibilities X, verifiable sets U(s) and natural topology are as in mission I. An inference relationship from DY to DX is a map r:DY→DX with r(s)≡s; DYdepends onDX if one exists, and two domains are equivalent if each depends on the other. A causal relationship is a function f:X→Y between possibilities with x≼f(x). The combined domain of a countable family of domains is generated by all their statements under finite conjunction and countable disjunction.
Formalization targets
Goal (Theorem 2.10, Experimental Relationship Theorem, with continuity made explicit)
DY⊆DX⟺∃f:X→Y continuous with x≼f(x)∀x∈X.
Milestones
Corollary 2.3: a sub-domain depends on the domain.
Corollary 2.5: domain equivalence is an equivalence relation.
Corollary 2.9: a causal relationship is unique if it exists.
Corollary 2.11: DX≡DY iff there is a homeomorphism f:X→Y with x≡f(x).
Proposition 2.14: the possibilities of a combined domain are the non-impossible conjunctions ⋀ixi of possibilities xi∈Xi.
Significance
Theorem 2.10 is what justifies describing experimental relationships by functions between possibilities rather than by maps between all finite-precision statements, and Corollary 2.11 identifies equivalence of experimental domains with homeomorphisms that respect the statements. Later chapters use these to transport structure between equivalent domains. The results are proved informally in the book; no machine-checked formalization is known to the drafters.
Difficulty
The forward direction requires showing that each possibility of DX lies inside exactly one possibility of DY and that preimages of verifiable sets are verifiable. The converse is subtler: Definition 2.7 does not require continuity, and the book's Corollary 2.8 ("all causal relationships are continuous") does not hold in general. For example, with Ω={0,1}, DX={∅,{1},Ω} and DY={∅,{0},Ω}, the identity on possibilities is a causal relationship but DY⊆DX. The goal therefore includes continuity of f explicitly. That is the hypothesis the book's proof of the converse actually uses.
Formalization scope
Domains are ExperimentalDomain Ω on a common type Ω; dependence is ExperimentalDomain.DependsOn (existence of an equivalence-preserving map, which here is the inclusion DY⊆DX), causal relationships are predicates IsCausalRel on functions between the possibility types, and topological notions are Mathlib's (Continuous, ≃ₜ). The combined domain ExperimentalDomain.combined takes a family over an arbitrary countable index type. Theorem 2.12 (transport of structure) is informal in the source and is not formalized here. Propositions 2.15–2.28 are left out: the residual possibility depends on the choice of basis, and Proposition 2.18 appears to need a stronger independence hypothesis than Definition 2.17 provides. They are candidates for a later mission.
Selected references
G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 2 "Domain combination and relationships", pp. 149–168.
Assumptions of Physics I: Experimental Domains and Their Natural TopologyTextbook
Motivation
Assumptions of Physics by Gabriele Carcassi and Christine A. Aidala (book, v3.0, 2025) is a programme to derive the mathematical structures of physical theories from explicit physical requirements. Part II, "Physical Mathematics", begins (Chapter 1) by making precise what it means for a statement to be experimentally verifiable, and shows that a single physical requirement (only countably many tests can be run in an indefinite amount of time) is enough to force the familiar structures of point-set topology onto the space of outcomes of any experiment. This mission formalizes that chapter. It is the first mission of a series on the book; all declarations live in the namespace AssumptionsOfPhysics so that later missions can build on them.
Setting
A logical context is represented by its set Ω of possible truth assignments, and a statement (up to logical equivalence) by its truth set s⊆Ω. Negation, conjunction and disjunction are complement, intersection and union; the certainty is Ω and the impossibility is ∅; "s1 is narrower than s2" means s1⊆s2, and s1,s2 are compatible when s1∩s2=∅.
An experimental domainD is a family of statements that contains Ω and ∅, is closed under finite conjunction and countable disjunction, and has a countable basisB⊆D: every element of D is obtained from B by finite conjunctions and countable disjunctions. Its theoretical domainDˉ is the closure of D under negation, finite conjunction and countable disjunction. A possibility is a non-impossible x∈Dˉ that, for every s∈Dˉ, is either narrower than s or incompatible with it; X denotes the set of possibilities. The verifiable set of a statement s is U(s)={x∈X:x∩s=∅}, and the natural topology on X is the topology generated by {U(s):s∈D}. A domain is decidable if it is closed under negation.
Formalization targets
Goal (Propositions 1.57, 1.61, 1.65)
TX={U(s):s∈D},(X,TX)is second-countable and T0.
Milestones
Proposition 1.37: Dˉ is closed under countable conjunction.
Proposition 1.46: any basis of D generates Dˉ by negation and countable operations.
Proposition 1.48: the possibilities are exactly the non-impossible minterms of a basis.
Theorem 1.52: ∣X∣≤2ℵ0.
Proposition 1.53: X finite ⟺D finite ⟺D has a finite basis.
Proposition 1.56: s=⋁x∈U(s)x for s∈D.
Propositions 1.57, 1.60, 1.61, 1.65: the verifiable sets are exactly the open sets; U(B)∪{X} is a sub-basis; second countability; T0.
Proposition 1.66: T1⟺ every possibility is approximately verifiable.
Proposition 1.74 and Theorem 1.76: equivalent characterizations of decidable domains, and decidability ⟺ discreteness of the natural topology.
Significance
The chapter's results identify the open sets of a topology with verifiable statements and its points with complete experimental answers (possibilities). Second countability and the T0 axiom are thereby derived rather than assumed, and the cardinality bound ∣X∣≤2ℵ0 limits which mathematical objects can carry experimental meaning. Later chapters of the book (domain combination, properties and quantities, ensemble spaces) rely on these facts. The results are proved informally in the book; no machine-checked formalization of them is known to the drafters. A formalization fixes the precise hypotheses under which they hold (for instance, whether a basis must be countable in Propositions 1.46, 1.48 and 1.60) and provides a reusable library for the rest of the series.
Difficulty
The individual statements are elementary, but several of the book's proofs are informal about two points that a formal proof must handle. First, the possibilities must be shown to cover the space of assignments and to be atoms of Dˉ; the book argues through minterms of a countable basis, which needs a "disjunctive normal form" for countably generated families. Second, the natural topology is defined via arbitrary unions while experimental domains are only closed under countable disjunction; showing that every open set is still of the form U(s) (Proposition 1.57) requires a second-countability / Lindelöf-type argument rather than direct closure.
Formalization scope
Statements are subsets s : Set Ω of an arbitrary type Ω (possibly empty); the experimental domain is the structure ExperimentalDomain Ω, whose field stmts is the family D. Generation by finite conjunction and countable disjunction (FinConjCountDisj) includes the empty conjunction Ω and the empty disjunction ∅; generation with negation (NegFinConjCountDisj) includes Ω. Possibilities form the type D.Possibility, which carries the natural topology as an instance; topological notions (SecondCountableTopology, T0Space, T1Space, DiscreteTopology) are Mathlib's. The primitive notion of verifiability (Axiom 1.27) is not modelled separately: membership in D is what all results of the chapter use. Statements involving "a basis" quantify over every basis (countable or not), as in the source. Contributions of reusable lemmas, in particular a disjunctive-normal-form lemma for countably generated families of sets, are welcome.
Selected references
G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 1 "Verifiable statements and experimental domains", pp. 101–146.
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Assumptions of Physics IV: Ensemble Spaces Are CancellativeTextbook
Motivation
This is the fourth mission of the series on Assumptions of Physics by G. Carcassi and C. A. Aidala (book, v3.0, 2025), formalizing the axiomatic core of Part II, Chapter 4, "Ensemble spaces". The chapter proposes three physically motivated axioms (ensemble, mixture, entropy) that every space of statistical states should satisfy, covering classical probability distributions and quantum density operators alike, and derives from them structure that is usually postulated, for example that mixtures can be "un-mixed" (cancellativity). That is the first step towards embedding ensembles in a vector space. Unlike missions II and III, this mission does not depend on earlier missions.
Setting
An ensemble space is a T0, second countable topological space E with a continuous mixing operation (p,a,b)↦pa+pˉb (p∈[0,1], pˉ=1−p) that is idempotent, commutative and associative, and a continuous entropyS:E→R. The entropy is strictly concave, S(pa+pˉb)≥pS(a)+pˉS(b) with equality iff a=b, and bounded above by I(p,pˉ)+pS(a)+pˉS(b) for a universal function I. Two ensembles are orthogonal, a⊥b, when this bound is saturated, and mixtures preserve orthogonality. An ensemble c is a component of a if a=pc+pˉd with p∈(0,1]; two ensembles are separate if they have no common component. The mixing entropy is MS(a,b)=S(21a+21b)−21S(a)−21S(b).
Formalization targets
Goal (Theorem 4.73, Ensemble spaces are cancellative)
pa+pˉe=pb+pˉe for some p∈(0,1)⟹a=b.
Milestones
Proposition 4.67: orthogonality is irreflexive and symmetric, components are not orthogonal, and orthogonality implies separateness.
Corollary 4.102: pa+pˉb=b for some p∈(0,1] implies a=b.
Cancellativity is what allows affine combinations with negative coefficients, the origin, in this framework, of the vector-space embedding of ensembles (Theorem 4.94) and of negative quasi-probabilities such as Wigner functions. It holds in classical and quantum statistics, and here it is derived from continuity and strict concavity of the entropy instead of being postulated. The results are proved informally in the book; no machine-checked formalization is known to the drafters.
Difficulty
The convex-space axioms are stated in a two-sided associativity form, so every rearrangement of mixtures must be derived from it. The book's proof of cancellativity first propagates the equality pa+pˉe=pb+pˉe from one coefficient to all of (0,1) by an iteration p↦2p/(1+p), and then uses a limit p→1 together with continuity of mixing and of the entropy. Strict concavity has to be applied only to non-trivial coefficients.
Formalization scope
The structure EnsembleSpace I E bundles Axioms 4.4, 4.7 and 4.55 for a topological space E; mixing coefficients are elements of Mathlib's unitInterval. Real coefficient expressions in the associativity axiom pass through clampI, the projection R→[0,1], and lie in [0,1] on the stated domain. The universal function I is a parameter. Orthogonality is saturation of the upper bound for everyp∈(0,1). Strict concavity is required for p∈(0,1) only, since at p∈{0,1} equality is automatic. The book's Proposition 4.67 uses I(p,pˉ)>0 for p∈(0,1), which follows from universality of I (any space with two distinct ensembles forces it); the milestone carries this as an explicit hypothesis. Items 3 and 4 of Proposition 4.116 in the book use the normalization I(21,21)=1 from Theorem 4.59; item 3 is stated with I(21,21) and item 4 is omitted. Hull operators, the vector-space embedding (Theorem 4.94), boundedness of lines (Theorem 4.105), the entropic geometry and the standard classical/quantum models (Propositions 4.5, 4.9, 4.56) are left for later missions.
Selected references
G. Carcassi, C. A. Aidala, Assumptions of Physics, Ver. 3.0, December 31, 2025. https://assumptionsofphysics.org/book — Part II, Chapter 4 "Ensemble spaces", pp. 197–284.
Thomson Problem: Seven Electrons and the Known Exact SolutionsOpen Problem
Motivation
The Thomson problem asks for the configuration of N electrons, constrained to the surface of the unit sphere and repelling each other according to Coulomb's law, that minimises the total electrostatic potential energy. J. J. Thomson posed it in 1904 in connection with his "plum pudding" atomic model. The same energy-minimisation question reappears in the arrangement of protein subunits in spherical virus shells, in colloidosomes, in fullerene patterns and in multi-electron bubbles, and it is a special case (s=1) of the Riesz s-energy problem on the sphere; the logarithmic variant is Smale's 7th problem.
Despite its elementary statement, the minimum is rigorously known only for a handful of values of N.
Timeline of exact solutions (as reported in the source).
N=1,2: trivial; for N=2 the optimum is an antipodal pair with U=1/2.
N=3: equilateral triangle on a great circle — L. Föppl (1912).
N=4: regular tetrahedron (listed in the source without a citation).
N=6: regular octahedron — V. A. Yudin (1992).
N=12: regular icosahedron — N. N. Andreev (1996).
N=5: triangular bipyramid — R. Schwartz (2013), computer-assisted.
N=7: pentagonal bipyramid — long observed numerically; in September 2026 an exact, Lean-kernel-checked proof was claimed (H. Tran, Vals AI).
N=8 and N=20: numerically, the optimum is not the cube, resp. the dodecahedron.
Setting
A configuration of N points is a map x:{0,…,N−1}→R3. It is admissible if every point lies on the unit sphere, ∥xi∥=1, and the points are pairwise distinct. In units with e=1 and ke=1 its Coulomb energy is
U(x)=0≤i<j≤N−1∑∥xi−xj∥1.
An admissible x is an energy minimiser (solves the Thomson problem for N) if U(x)≤U(y) for every admissible N-point configuration y.
Explicit candidate configurations are fixed in the definitions file: the antipodal pair (N=2), an equatorial equilateral triangle (N=3), the regular tetrahedron (N=4), the triangular bipyramid (N=5), the regular octahedron (N=6), the pentagonal bipyramid (N=7: the two poles plus a regular pentagon (cos52πk,sin52πk,0) on the equator) and the regular icosahedron (N=12).
Formalization targets
Goal: N=7
the pentagonal bipyramid is an energy minimiser for N=7.
This asserts admissibility of the seven points and the inequality U(P7)≤U(y) against every admissible seven-point configuration y. It fixes no numerical value of the minimum and does not assert uniqueness.
Milestones: the other known exact solutions
N=1:U≡0;N=2:antipodal pair optimal,U=21;N=3,4,5,6,12:triangle, tetrahedron, triangular bipyramid, octahedron, icosahedron are energy minimisers.
Significance
The result. Among the values of N listed in the source, N=7 is the smallest one whose optimum was, until the 2026 claim, supported only by numerical computation; the cases N≤6 and N=12 were settled earlier. Settling N=7 extends the short list of rigorously known Thomson minimisers.
Formalizing it. The N=7 result reported in the source is recent and described there as a claimed Lean-kernel-checked proof; a formalization on this platform against a public, reviewed statement would corroborate it independently. For the milestones, the source attributes the N=3,5,6,12 cases to published proofs (Föppl 1912, Schwartz 2013, Yudin 1992, Andreev 1996); the source does not describe machine-checked proofs of these, and each is a self-contained formalization target.
Difficulty
The energy is a non-convex function on the configuration space (S2)N with many critical points, so numerical minimisation — which is how most entries of the source's table of smallest known energies were obtained — does not certify global optimality. The N=5 case, the most recent classical entry before N=7, was resolved only with a computer-assisted proof (Schwartz 2013).
Formalization scope
Points live in EuclideanSpace ℝ (Fin 3); configurations are functions Fin N → EuclideanSpace ℝ (Fin 3). Admissibility requires unit norm and injectivity (distinct points), matching the source's "N distinct points". The energy sums 1/dist(xi,xj) over i<j; Lean's 1/0=0 convention is harmless because coincident points are excluded by admissibility. The candidate configurations are fixed in one particular orientation; since the energy is invariant under orthogonal maps and relabelling, this is no loss of generality. The statement "x is an energy minimiser" includes admissibility of x itself, so the goal cannot be satisfied by a degenerate candidate.
Reusable infrastructure welcome: energy invariance under isometries and permutations, existence of minimisers by compactness, linear-programming (Delsarte–Yudin) bounds on the sphere, and interval-arithmetic tooling for certified numerical bounds.
Mathematical Methods in Quantum Mechanics IV: The Min-Max Principle and Temple's InequalityTextbook
Motivation
In quantum mechanics the energy levels of a system are the eigenvalues of a self-adjoint HamiltonianA, and for almost every Hamiltonian of interest (atoms with more than one electron, molecules) they cannot be computed in closed form. What can be computed are expectation values⟨ψ,Aψ⟩ of explicit trial functions ψ. The min-max principle turns such numbers into rigorous statements about the eigenvalues: every trial computation gives an upper bound, and the optimal choices reproduce the eigenvalues exactly. It goes back to Fischer (1905) for quadratic forms in finitely many variables and to Courant (1920) for differential operators; Temple (1928) added the matching lower bound. This mission formalizes the version for unbounded self-adjoint operators with essential spectrum, as stated in Chapter 4 of Teschl's Mathematical Methods in Quantum Mechanics (AMS GSM 99, 2009), where eigenvalues below the essential spectrum are characterized and estimated.
Setting
Let H be a complex Hilbert space, with inner product ⟨⋅,⋅⟩ conjugate linear in the first argument. An operatorA is a linear map defined on a subspace D(A)⊆H, its domain; A is self-adjoint if D(A) is dense and A equals its adjoint. The resolvent setρ(A) is the set of z∈C for which A−z:D(A)→H is a bijection with bounded inverse, and the spectrum is σ(A)=C∖ρ(A). For self-adjoint A, σ(A)⊆R.
For z∈C the eigenspace is Ker(A−z)={ψ∈D(A)∣Aψ=zψ}; z is an eigenvalue when it is nonzero, and its dimension is the multiplicity. The discrete spectrumσd(A) consists of the eigenvalues that are isolated points of σ(A) and have finite multiplicity, and the essential spectrum is σess(A)=σ(A)∖σd(A).
Let Σ=infσess(A)∈[−∞,+∞] (+∞ if σess(A) is empty). The numbers E1≤E2≤E3≤⋯ are the eigenvalues of A below Σ, listed in increasing order and repeated according to multiplicity; if there are only N of them, En=Σ for n>N. For vectors ψ1,…,ψm∈H let
U(ψ1,…,ψm)={ψ∈D(A)∣∥ψ∥=1,ψ⊥ψ1,…,ψm}.
Some statements involve the spectral projectionsPA(Ω) of A, for Borel sets Ω⊆R: the projection-valued measure with A=∫λdPA(λ). With the spectral measuresμψ(Ω)=⟨ψ,PA(Ω)ψ⟩, the form domain is Q(A)={ψ∣∫∣λ∣dμψ(λ)<∞}, and on it ⟨ψ,Aψ⟩ means ∫λdμψ(λ).
Formalization targets
Goal: the min-max principle (Theorem 4.10)
For self-adjoint A and every n≥1,
En=ψ1,…,ψn−1∈Hsupψ∈U(ψ1,…,ψn−1)inf⟨ψ,Aψ⟩.
Both sides are extended real numbers; the infimum over an empty set is +∞.
Milestones
Theorem 2.19 (the case n=1 and its mirror image): infσ(A)=infψ∈D(A),∥ψ∥=1⟨ψ,Aψ⟩ and supσ(A)=supψ∈D(A),∥ψ∥=1⟨ψ,Aψ⟩.
Theorem 4.12 (i): if ψ1,…,ψk∈Q(A) are linearly independent and ⟨ψ,Aψ⟩<λ∥ψ∥2 for every nonzero ψ∈span{ψj}, then dimRanPA((−∞,λ))≥k; with >, dimRanPA((λ,∞))≥k.
Theorem 4.12 (ii): if ψ1,…,ψk∈D(A) are linearly independent, λ1<λ2, and ∥(A−2λ2+λ1)ψ∥<2λ2−λ1∥ψ∥ for every nonzero ψ in their span, then dimRanPA((λ1,λ2))≥k.
Corollary 4.11: if A,B are self-adjoint, D(A)⊆D(B) and ⟨ψ,(A−B)ψ⟩≥0 on D(A), then En(A)≥En(B) for all n≥1.
Theorem 4.13 (Temple's inequality): if λ1<λ2, ψ∈D(A), ∥ψ∥=1, λ=⟨ψ,Aψ⟩∈(λ1,λ2) and σ(A)∩(λ1,λ2)={E}, then
λ−λ2−λ∥(A−λ)ψ∥2≤E≤λ+λ−λ1∥(A−λ)ψ∥2.
Significance
The min-max principle is the standard tool for comparing eigenvalues of different operators: Corollary 4.11 (monotonicity under operator inequalities) follows from it, and with it the stability of eigenvalues under perturbations, Dirichlet–Neumann bracketing and the Rayleigh–Ritz method used in computational quantum chemistry. Theorem 4.12 converts a finite-dimensional computation into a lower bound for the number of eigenvalues in an interval, and Temple's inequality supplies lower bounds on an eigenvalue to complement the variational upper bounds, which is what makes numerical eigenvalue enclosures rigorous.
All of these results are classical and proved in the literature. What is not available is a machine-checked version for unbounded operators: Mathlib has the Courant–Fischer characterization only for finite-dimensional or compact self-adjoint operators, and existing formal developments of Temple's inequality and min-max levels treat bounded operators. This mission formalizes the unbounded case, with the essential spectrum and the counting of eigenvalues by multiplicity made explicit, and with the edge cases (operators unbounded below, empty essential spectrum) covered by extended-real values.
Difficulty
The central difficulty is that En is defined by spectral data (which points of the spectrum are isolated eigenvalues of finite multiplicity, and how many there are below a given level), while the right-hand side is defined by expectation values on the domain. Relating the two needs the spectral theorem for unbounded operators: for every level below Σ the spectral subspace must be shown to be finite dimensional and spanned by eigenvectors, and for the level Σ itself one needs infinite-dimensional spectral subspaces in every neighbourhood, which is where the essential spectrum enters. When En=Σ the supremum and infimum need not be attained, so the finite-dimensional argument with eigenvectors does not transfer. For Corollary 4.11 and Temple's inequality the hypotheses concern only the operator and one vector, while the conclusions concern the spectrum.
Formalization scope
The formalization uses Lean 4 with Mathlib. Operators are partially defined linear maps (LinearPMap, H →ₗ.[ℂ] H) on a complex Hilbert space; self-adjointness is Mathlib's IsSelfAdjoint, which includes a dense domain. The Hilbert space is not assumed separable. The spectrum is the resolvent spectrum defined above, not Mathlib's Banach-algebra spectrum, and for self-adjoint operators it enters through its real points. Eigenspace dimensions are cardinals (Module.rank). En is defined from the spectrum, the essential spectrum and these dimensions, as an element of EReal, indexed from n=1; if A is unbounded below its value is −∞, and if the essential spectrum is empty and the eigenvalues run out it is +∞. The min-max identity is stated in EReal, with ⟨ψ,Aψ⟩ entering through its real part.
A formalization that defines En as the min-max expression itself would make the goal true by definition. This is ruled out: En is defined only from the spectrum, the essential spectrum and the dimensions of eigenspaces.
The spectral theorem is not part of this mission. Theorem 4.12 takes a projection-valued measureP on the Borel sets of R as data, together with the hypothesis that A=∫λdP(λ) (domain {ψ∣∫λ2dμψ<∞} and ⟨ψ,Aψ⟩=∫λdμψ), which is the form the spectral theorem guarantees; PA is then P, and Q(A) and the quadratic form are defined from it. Nothing else the book derives is taken as a hypothesis. The goal, Theorem 2.19, Corollary 4.11 and Temple's inequality use no projection-valued measure. Corollary 4.11 states the domain inclusion D(A)⊆D(B) explicitly, as the meaning of A−B≥0.
A complete development needs the spectral theorem for unbounded self-adjoint operators (or an equivalent functional calculus), the identification of σess with the points where spectral projections have infinite rank, and the orthogonality of eigenspaces. These are reusable across the rest of the book. Proofs of any milestone, and of lemmas connecting the resolvent spectrum with spectral projections, are welcome.
Selected references
G. Teschl, Mathematical Methods in Quantum Mechanics, With Applications to Schrödinger Operators, Graduate Studies in Mathematics 99, American Mathematical Society, 2009. doi:10.1090/gsm/099. Theorem 2.19 (p. 77), Section 4.3–4.4 (pp. 117–120), essential spectrum (p. 145).
E. Fischer, Über quadratische Formen mit reellen Koeffizienten, Monatshefte für Mathematik und Physik 16 (1905), 234–249. doi:10.1007/BF01693781.
R. Courant, Über die Eigenwerte bei den Differentialgleichungen der mathematischen Physik, Mathematische Zeitschrift 7 (1920), 1–57. doi:10.1007/BF01199396.
G. Temple, The theory of Rayleigh's principle as applied to continuous systems, Proceedings of the Royal Society of London A 119 (1928), 276–293. doi:10.1098/rspa.1928.0098.
Mathematical Methods in Quantum Mechanics XI: Weyl's Limit Circle / Limit Point AlternativeTextbook
Why the endpoint behaviour of Sturm–Liouville operators matters
A quantum particle on a line or half-line, and the radial part of a particle in a spherically symmetric potential, are described by a Sturm–Liouville expression
τf=r1(−(pf′)′+qf)
on an interval I=(a,b). The expression alone does not define a Hamiltonian: a self-adjoint operator needs a domain, and on a general interval the choice of domain is a choice of boundary conditions at a and b. Whether a boundary condition is needed at all depends on the behaviour of τ near the endpoint. H. Weyl settled this in 1910 (Math. Ann. 68, 220–269) with his limit circle / limit point dichotomy: at each endpoint either all solutions of τu=zu are square integrable near it and a boundary condition must be imposed, or they are not and no condition is possible. This mission formalizes Sections 9.1–9.2 of G. Teschl, Mathematical Methods in Quantum Mechanics (AMS GSM 99, 2009), which develop the theory for coefficients that are only locally integrable, and culminate in Theorem 9.9, the Weyl alternative.
Setting
Let −∞≤a<b≤∞ and I=(a,b). The coefficients satisfy: p−1∈Lloc1(I) with p>0; q∈Lloc1(I) real-valued; r∈Lloc1(I) with r>0. The Hilbert space is L2(I,rdx) with ⟨f,g⟩=∫abf∗grdx.
A function f is locally absolutely continuous, f∈ACloc(I), if it is an indefinite integral of a locally integrable function on I. The equation τf=g means that f and its quasi-derivativepf′ both lie in ACloc(I) and −(pf′)′+qf=rg almost everywhere. A solution of (τ−z)u=0, z∈C, is a complex-valued u with τu=zu in this sense. The maximal domain is
D(τ)={f∈L2(I,rdx)∣f,pf′∈ACloc(I),τf∈L2(I,rdx)}.
The modified Wronskian is Wx(f1,f2)=f1(x)(pf2′)(x)−(pf1′)(x)f2(x), with no complex conjugation, and Wa(f1,f2)=limx→aWx(f1,f2), Wb likewise.
τ is limit circle (l.c.) at a if there is a v∈D(τ) with Wa(v∗,v)=0 and Wa(v,f)=0 for some f∈D(τ); otherwise it is limit point (l.p.) at a. The same holds at b. A function u is square integrable near a if ∫ac∣u∣2rdx<∞ for some c∈I.
Formalization targets
Goal: the Weyl alternative (Theorem 9.9)
For every Sturm–Liouville expression as above,
τ is l.c. at a⟺for one z0∈C, all solutions of (τ−z0)u=0 are square integrable near a,
and if τ is l.c. at a, then for every z∈C all solutions of (τ−z)u=0 are square integrable near a. The same two statements hold at b.
Milestones
Theorem 9.1. For rg∈Lloc1(I), c∈I, α,β∈C, the problem (τ−z)f=g, f(c)=α, (pf′)(c)=β has a unique solution, entire in z.
Lemma 9.2. If u1,u2 solve (τ−z)u=0 with W(u1,u2)=1, every solution of (τ−z)f=g is given by the variation-of-constants formula (9.10).
Eq. (9.7). For f,g∈D(τ) the limits Wa(g∗,f), Wb(g∗,f) exist and ⟨g,τf⟩=Wa(g∗,f)−Wb(g∗,f)+⟨τg,f⟩ (the printed Wb−Wa has the wrong sign for the Wronskian (9.5)).
Lemma 9.5. If v∈D(τ), Wa(v∗,v)=0 and Wa(v∗,f^)=0 for some f^∈D(τ), then Wa(v,f)=0⇔Wa(v,f∗)=0, and Wa(v,f)=Wa(v,g)=0⇒Wa(g∗,f)=0.
Theorem 9.6. The operator Af=τf on D(A)={f∈D(τ)∣Wa(v,f)=0 if l.c. at a,Wb(w,f)=0 if l.c. at b} is self-adjoint, and the set D1 of (9.21) is a core.
Lemma 9.7. For z∈ρ(A) there are solutions ua, ub of (τ−z)u=0, square integrable near a resp. b and satisfying the boundary condition there, and (A−z)−1 is the integral operator with the Green function (9.28).
Significance
The Weyl alternative turns a question about operators into a question about an ordinary differential equation. Whether a Schrödinger operator −d2/dx2+q on a half-line needs a boundary condition at infinity, or whether −Δ+V with a radial potential is essentially self-adjoint on smooth functions, reduces to checking square integrability of solutions for a single value of z. Combined with Theorem 9.6 it classifies the self-adjoint realizations with separated boundary conditions: none at an l.p. endpoint, a one-parameter family at an l.c. endpoint. The Green function of Lemma 9.7 is the starting point of the spectral theory of one-dimensional Schrödinger operators: Weyl–Titchmarsh m-functions, spectral transformations, and oscillation theory in the rest of Teschl's Chapter 9.
The results are classical and proved in many textbooks. The formal content is new: Mathlib has unbounded operators (LinearPMap) and their adjoints, but no Sturm–Liouville theory, no quasi-derivatives, no ODE existence theorem for measurable, locally integrable coefficients (its Picard–Lindelöf theorem needs Lipschitz right-hand sides), and no self-adjoint realizations of differential operators on general intervals.
Difficulty
The definition of limit circle refers only to D(τ) and boundary limits of Wronskians, while the conclusion is about all solutions of an ODE for all z∈C. The two sides are linked only through self-adjoint operators: the passage from boundary Wronskians to square integrable solutions goes through the resolvent of a self-adjoint realization, which exists only for z∈ρ(A), and so only for nonreal z in general. Extending the conclusion to real z, where no resolvent is available, needs an argument of a different kind. On the ODE side, the coefficients are only locally integrable, so solutions are merely locally absolutely continuous, equations hold only almost everywhere, and every boundary quantity is a limit whose existence must itself be established.
Formalization scope
Interval and coefficients. The structure SLData bundles a,b∈EReal with a<b (infinite endpoints allowed), p,q,r:R→R, and the standing hypotheses (i)–(iii) of p. 181; p,r>0 pointwise on I. L2(I,rdx) is Lp ℂ 2 for the measure rdx on I.
Regularity.ACloc(I) is encoded by its integral characterization. The quasi-derivative pf′ is the continuous function f[1]∈ACloc(I) with f(y)−f(x)=∫xyf[1]/p, chosen by Classical.choose (it is unique on I). τf=g is (pf′)(y)−(pf′)(x)=∫xy(qf−rg) with a local integrability clause. No smoothness of the coefficients and no C2 solutions are assumed.
Boundary WronskiansWa, Wb are Filter.limUnder along x→a, x→b inside I. They are used only on D(τ), where milestone (9.7) states that the limits exist. In Lemma 9.7, where ua need not lie in D(τ), the boundary condition is stated as a convergence.
Operators. Operators in L2(I,rdx) are LinearPMaps; self-adjointness is Mathlib's IsSelfAdjoint. Theorem 9.6 asserts that an operator with graph {(f,τf)∣f∈D(A)} exists (i.e. is well defined) and is self-adjoint. ρ(A) and (A−z)−1 follow Teschl (2.66): a bounded two-sided inverse of A−z. No projection-valued measure or functional calculus is used.
Corrections to the printed text. Lemma 9.7 says "a solution ua of (τ−z)u=g"; the proof and (9.28) need (τ−z)u=0, which is what is stated. The condition at an endpoint in (9.21) is imposed only where τ is l.c., as in (9.20). The second line of (9.10) is stated for quasi-derivatives. The boundary term of (9.7) is printed as Wb(g∗,f)−Wa(g∗,f); integration by parts with (9.5) gives Wa(g∗,f)−Wb(g∗,f) (check: p=r=1, q=0 on (0,1), f=x2, g=1), and the corrected identity is stated.
Ruling out trivialization. Limit circle is the Wronskian notion of p. 187, never "all solutions are square integrable", which would make the goal circular. The goal has no hypothesis beyond the standing assumptions on p,q,r.
A complete development needs a Carathéodory-type existence theorem for linear first-order systems with Lloc1 coefficients, the Lagrange identity with its boundary limits, Lemma 9.3 (a linear-algebra fact about functionals) and the computation of the closure and adjoint of the minimal operator (Lemma 9.4). The ODE layer and the L2(I,rdx) operator layer can be reused for the Weyl–Titchmarsh theory, oscillation theory (Sec. 9.7) and one-particle Schrödinger operators (Ch. 10). Contributions that build them as general lemmas are welcome.
Selected references
G. Teschl, Mathematical Methods in Quantum Mechanics, With Applications to Schrödinger Operators, AMS Graduate Studies in Mathematics 99, 2009, Sections 9.1–9.2. https://doi.org/10.1090/gsm/099
H. Weyl, "Über gewöhnliche Differentialgleichungen mit Singularitäten und die zugehörigen Entwicklungen willkürlicher Funktionen", Math. Ann. 68 (1910), 220–269. https://doi.org/10.1007/BF01474161
J. Weidmann, Spectral Theory of Ordinary Differential Operators, Lecture Notes in Mathematics 1258, Springer, 1987. https://doi.org/10.1007/BFb0077960
Mathematical Methods in Quantum Mechanics II: The Spectral Theorem for Unbounded Self-Adjoint OperatorsTextbook
Motivation
In quantum mechanics an observable is a self-adjoint operatorA on a complex Hilbert space H, and the dynamics is the Schrödinger equation idtdψ(t)=Hψ(t). In finite dimensions the solution is the matrix exponential e−itHψ(0), computed by diagonalizing H. The operators of physics (the Laplacian, Schrödinger operators with Coulomb potentials, position and momentum) are unbounded, defined only on a dense subspace, and have no eigenbasis in general. The spectral theorem is the substitute for diagonalization in this setting: it expresses every self-adjoint operator as an integral of the identity function against a family of orthogonal projections, and so gives meaning to f(A) for every Borel function f, in particular to e−itA and to the spectral projections χΩ(A).
The theorem goes back to Hilbert (bounded symmetric forms, 1906) and was extended to unbounded self-adjoint operators by von Neumann (1929/30), Stone (1932) and Riesz. This mission follows the treatment in G. Teschl, Mathematical Methods in Quantum Mechanics (AMS Graduate Studies in Mathematics 99, 2009), Section 3.1: projection-valued measures, their functional calculus for bounded and unbounded functions, and the spectral theorem obtained from resolvents through the Herglotz representation of Borel transforms.
Setting
Let H be a complex Hilbert space, with inner product ⟨⋅,⋅⟩ conjugate linear in the first argument, and let L(H) be the bounded operators on it. An (unbounded) operatorA is a linear map defined on a subspace D(A)⊆H; A⊆B means B extends A. A is self-adjoint if D(A) is dense and A∗=A, domains included.
The resolvent set of A is the set of z∈C for which A−z:D(A)→H is a bijection with bounded inverse, and the spectrum is its complement, σ(A)=C∖ρ(A).
A projection-valued measure assigns to every Borel set Ω⊆R an orthogonal projection P(Ω)=P(Ω)∗=P(Ω)2 such that P(R)=I and, for pairwise disjoint Borel sets Ωn, ∑nP(Ωn)ψ=P(⋃nΩn)ψ for every vector ψ (strong, not norm, σ-additivity). Each ψ gives the spectral measureμψ(Ω)=⟨ψ,P(Ω)ψ⟩=∥P(Ω)ψ∥2, a finite Borel measure of total mass ∥ψ∥2, and by polarization the complex measures μφ,ψ(Ω)=⟨φ,P(Ω)ψ⟩.
For a bounded Borel function f the operator P(f)=∫f(λ)dP(λ)∈L(H) is the bounded operator with ⟨ψ,P(f)ψ⟩=∫fdμψ for all ψ. For an arbitrary Borel function f it is the operator with domain
Df={ψ∈H∫R∣f(λ)∣2dμψ(λ)<∞}
and ⟨ψ,P(f)ψ⟩=∫fdμψ for ψ∈Df. An operator T is normal if it is densely defined, D(T)=D(T∗) and ∥Tψ∥=∥T∗ψ∥ on D(T).
Formalization targets
Goal: the spectral theorem (Theorem 3.7)
For every self-adjoint operator A in H there is a unique projection-valued measure PA with
A=∫RλdPA(λ),
an equality of operators including their domains. Uniqueness is among projection-valued measures, compared on Borel sets.
Milestones
Theorem 3.1. For a projection-valued measure P, the map f↦P(f) from bounded Borel functions (sup norm) to L(H) is a unital C∗-algebra homomorphism of norm one, ⟨P(g)φ,P(f)ψ⟩=∫g∗fdμφ,ψ, and P(fn)→P(f) strongly when fn→f pointwise with supλ∣fn(λ)∣ bounded.
Theorem 3.2. For every Borel f, the operator P(f) with D(P(f))=Df exists, is normal, and P(f)∗=P(f∗).
Lemma 3.5.αP(f)+βP(g)⊆P(αf+βg) with domain D∣f∣+∣g∣, and P(f)P(g)⊆P(fg) with domain Dg∩Dfg.
Theorem 3.8. For self-adjoint A, σ(A)={λ∈R∣PA((λ−ε,λ+ε))=0 for all ε>0}.
Corollary 3.9.PA(σ(A))=I and PA(R∩ρ(A))=0.
A further supporting statement (not a milestone) records that μψ is a finite measure with μψ(Ω)=⟨ψ,P(Ω)ψ⟩=∥P(Ω)ψ∥2.
Significance
The result itself. The spectral theorem is the foundation of the rest of the book and of mathematical quantum mechanics generally. Stone's theorem and the time evolution e−itA, the min-max principle, the RAGE theorem, the decomposition of the spectrum into absolutely continuous, singular continuous and pure point parts, Weyl's theorem on essential spectra and scattering theory are all statements about f(A) or PA(Ω). Theorem 3.8 identifies the spectrum with the support of PA, which is what makes spectral questions accessible to measure theory.
Formalizing it. The result is classical and fully proved in the literature. Mathlib has the continuous functional calculus for bounded normal elements of C∗-algebras and the finite-dimensional spectral theorem, but no projection-valued measures, no spectral integral of unbounded functions, and no spectral theorem for unbounded operators (LinearPMap). On Prove2Me the related published material is bounded or finite-dimensional (for example diagonalization of self-adjoint endomorphisms and the Fuglede–Putnam theorem). A formal proof here supplies the object f(A) that every later mission of this series currently has to take as data.
Difficulty
The obvious route through the bounded case fails. For bounded self-adjoint A one can build f(A) from polynomials by the sup norm on σ(A) and extend by monotone limits; for unbounded A there are no polynomials in A defined on a common useful domain and no sup-norm estimate. The standard reductions (the Cayley transform (A−i)(A+i)−1, or the bounded resolvent (A−z)−1) produce bounded normal operators whose spectral measures must then be transported back, and the domain D(A) must be recovered exactly as Dλ; getting the domains right, not just the formulas on a core, is where unbounded arguments usually break. Beyond the domain issue, the projections PA(Ω) are not given by any formula in A that Mathlib can evaluate: they have to be recovered from resolvent data, which in the book's development requires the Herglotz representation of Borel transforms and the Stieltjes inversion formula for finite measures, neither of which is in Mathlib. Uniqueness is also not automatic: it requires that a projection-valued measure is determined by the operator ∫λdP(λ) alone.
Formalization scope
H is {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]; separability is not assumed, since none of the stated results or their proofs in the book need it. Operators are LinearPMaps H →ₗ.[ℂ] H; self-adjointness is Mathlib's IsSelfAdjoint, which includes density. A projection-valued measure is a function Set ℝ → (H →L[ℂ] H) constrained on Borel sets only (IsProjValuedMeasure); uniqueness in the goal compares values on Borel sets. The spectral measure spectralMeasure P ψ is built with Measure.ofMeasurable from Ω↦∥P(Ω)ψ∥2. The spectral integral spectralIntegral P f is the operator with domain Df and quadratic form ∫fdμψ (the predicate IsSpectralIntegral), selected by choice; its existence for Borel f is part of the milestone for Theorem 3.2, not an assumption. The bounded calculus boundedSpectralIntegral is characterized the same way in L(H). The spectrum is the resolvent-based TeschlQM.Spectral.spectrum of Section 2.4, not Mathlib's spectrum ℂ of a Banach algebra element. In Theorems 3.8 and 3.9, PA enters as a projection-valued measure P with the hypothesis A = spectralIntegral P (fun x => x), which by the goal's uniqueness is exactly PA.
Nothing is taken as data that the book derives. In particular the goal is not stated for "a projection-valued measure with A=∫λdP" given as a hypothesis, and PA is not defined by choosing such a measure: the goal quantifies existentially and uniquely over projection-valued measures, with self-adjointness of A as the only hypothesis.
Lemma 3.4 (spectral bases), Lemma 3.6 (the family PA(Ω) built from the Herglotz representation) and the results of Sections 3.2–3.3 are not stated. A complete development needs finite Borel measures and L2 spaces (in Mathlib), the Herglotz representation and Stieltjes inversion (the subject of the next mission of this series), and the adjoint theory of LinearPMap. The projection-valued measure and spectral-integral layer is reusable by every later mission of the series. Contributions of any milestone, of general lemmas about IsProjValuedMeasure (finite additivity, P(Ω1)P(Ω2)=P(Ω1∩Ω2), monotonicity), and of alternative proofs of the goal are welcome.
Selected references
G. Teschl, Mathematical Methods in Quantum Mechanics, With Applications to Schrödinger Operators, Graduate Studies in Mathematics 99, American Mathematical Society, 2009, Chapter 3. https://doi.org/10.1090/gsm/099
J. von Neumann, Allgemeine Eigenwerttheorie Hermitescher Funktionaloperatoren, Mathematische Annalen 102 (1930), 49–131. https://doi.org/10.1007/BF01782338
M. H. Stone, Linear Transformations in Hilbert Space and Their Applications to Analysis, AMS Colloquium Publications 15, 1932. https://doi.org/10.1090/coll/015
Microstate counting in dS₃: eigenvalue count vs. sphere partition functionResearch Paper
Motivation
Gibbons and Hawking conjectured that the cosmological horizon of a de Sitter static patch carries an entropy, computed semiclassically by the Euclidean gravitational path integral on the sphere. For three-dimensional de Sitter gravity the relevant quantity is log∣ZgravS3∣, whose leading term is the Gibbons–Hawking entropySGH=πℓdS/(2GN). A microscopic account of this entropy — a count of states in some ordinary quantum or statistical system — is one of the long-standing goals of de Sitter holography.
Collier, Eberhardt and Mühlmann (arXiv:2501.01486) propose that pure dS3 quantum gravity is dual to the double-scaled two-matrix integral of the complex Liouville string (arXiv:2409.17246). In §4.4 they test this by counting the "effective number of eigenvalues" of the matrix model and comparing 2logNeff with log∣ZgravS3∣. The comparison reduces to explicit identities between elementary functions of the Liouville parameter b; this mission formalizes exactly those identities.
Setting
Fix a complex number b with −ib2∈R>0, i.e. b2=iβ with β>0 (the paper's footnote 2; then the central charge c=1+6(b+b−1)2 lies in 13+iR). Write b−2=(b2)−1 and let S0∈R be the genus-counting parameter of the matrix model.
Eigenvalue density (eq. (C.4)): for real E,
ρ0(E)=π2sinh(−iπb2)sin(−ib2arccosh2E).
First zero (§4.4): E0=2cos(πb−2).
Effective number of eigenvalues (eq. (4.32)): Neff=∫2E0eS0ρ0(E)dE.
Sphere partition function (eq. (4.5)): ZgravS3∼e2S0(b−2−b2)2sin(πb2)2sin(πb−2)2, where ∼ is equality up to a b-independent constant.
Formalization targets
Goal (eq. (4.35))
For any function Z(b,S0) whose modulus equals K⋅e2S0sin(πb2)2sin(πb−2)2/(b−2−b2)2 for a fixed constant K>0 (the content of (4.5)), there is a real constant c, independent of b and S0, such that
SdSmicro(b,S0)=log∣Z(b,S0)∣+cfor all admissible b and all S0.
This is the paper's statement that the matrix-model count reproduces the de Sitter entropy "regardless of the specific value of ZgravS3", up to the order-one constants that (4.37) later fixes.
Milestones
E0 is real, E0>2, ρ0(E0)=0, and ρ0 is real and positive on (2,E0) (§4.4, App. C).
Closed form of Neff (eqs. (4.32)–(4.33)).
The two expressions for SdSmicro in eq. (4.33).
(T1,1(b))2∼CS2(b) (eq. (4.36)).
Significance
The identity (4.36) is the step the authors single out as "a genuinely nontrivial check": it holds for the complex Liouville string but, as they note, not for the Virasoro minimal string. The goal packages the argument of §4.4 into one exact statement, valid for every admissible b (i.e. exactly in GN), under the single physical input (4.5). The physical assumptions — the choice of cutoff at the first zero, the interpretation of logN2 as an entropy, and (4.5) itself — are not formalized; they enter as definitions and as the hypothesis on Z. The mathematical content is a definite-integral evaluation plus trigonometric/hyperbolic identities for complex arguments.
Difficulty
The integral in (4.32) has a complex-looking integrand, a branch of arccosh, and an upper limit given by a complex cosine; one must first show that everything is real in the admissible regime and then evaluate the integral exactly, including the endpoint behaviour at E=2 where arccosh is not differentiable. The entropy statements additionally involve the complex principal logarithm, so one must control the argument (positivity) of Neff and of the tension ratio; identities such as log(eS0x)=S0+logx fail for general complex x.
Formalization scope
b∈C with the hypothesis ∃β>0,b2=iβ; all objects depend on b only through b2.
ρ0:R→C uses Mathlib's Real.arcosh (defined as log(x+x2−1)); its values for E<2 never enter.
Neff is the oriented interval integral from 2 to ReE0; milestone 1 shows E0 is real, so taking the real part loses nothing.
log is the complex principal logarithm (Complex.log), and SdSmicro is complex-valued; the goal forces it to equal a real number.
The "∼" of (4.5) is encoded as a constant factor K>0 in the modulus; the "∼" of (4.36) as a nonzero b-independent complex constant.
A trivialization is ruled out: the goal quantifies cbeforeb and S0, and K>0 is required.
Selected references
S. Collier, L. Eberhardt, B. Mühlmann, A microscopic realization of dS3, arXiv:2501.01486 (2025). https://arxiv.org/abs/2501.01486
S. Collier, L. Eberhardt, B. Mühlmann, V. A. Rodriguez, The complex Liouville string, arXiv:2409.17246 (2024). https://arxiv.org/abs/2409.17246
G. W. Gibbons, S. W. Hawking, Cosmological event horizons, thermodynamics, and particle creation, Phys. Rev. D 15 (1977) 2738. https://doi.org/10.1103/PhysRevD.15.2738
Uma Breve Introdução à Matemática da Mecânica Quântica I: Princípio da Incerteza de HeisenbergTextbook
Motivation
Heisenberg's uncertainty principle is the first quantitative statement a student meets about the incompatibility of position and momentum measurements in quantum mechanics. In A. O. Lopes' textbook Uma Breve Introdução à Matemática da Mecânica Quântica (31º Colóquio Brasileiro de Matemática, IMPA, 2017), written for mathematics students with no physics background, it is the capstone of Chapter 8 (Princípio da Incerteza e o Pacote de Onda Gaussiano), Teorema 8.2, p. 131. It collects the operator formalism built in Chapters 1, 3 and 4 — position and momentum operators, commutators, expected values — into one inequality. This mission is the first of a series formalizing the capstone results of the book.
Setting
A wave function is a map ψ:Rn→C. The book uses the L2 inner product ⟨φ,ψ⟩=∫Rnφ(x)ψ(x)dx (linear in the first slot) and the norm ∣ψ∣=⟨ψ,ψ⟩1/2. A state is a wave function with ∣ψ∣=1. Fix n≥1, an index j∈{1,…,n} and the (reduced) Planck constant ℏ>0.
The position operator is (Xjψ)(x)=xjψ(x), with domain D(Xj)={ψ∈L2:xjψ∈L2}.
The momentum operator is (Pjψ)(x)=−iℏ∂xj∂ψ(x) (Definição 1.20), with domain D(Pj) the C1 functions of compact support.
The commutator of two operators is [A,B]=AB−BA (Definição 3.1).
The expected value of A in ψ is Eψ(A)=⟨ψ,ψ⟩⟨Aψ,ψ⟩ (Definição 8.1, p. 125, and p. 128).
The dispersion of A in ψ is Δψ(A)=(A−Eψ(A)I)ψ (Definição 8.2).
The Gaussian wave packet with parameters a>0, x0,p0∈Rn is ψ(x)=(2πa2)−n/4e−∣x−x0∣2/(4a2)ei⟨p0,x⟩/ℏ (Definição 8.3).
Formalization targets
Goal — Teorema 8.2 (Heisenberg)
For every state ψ∈D(Xj)∩D(Pj),
Δψ(Xj)Δψ(Pj)≥2ℏ.
Milestones
Lema 3.2 (canonical commutation relations): [Xk,Xj]=[Pk,Pj]=0, ℏi[Pj,Xj]=Id, and ℏi[Pj,Xk]=0 for j=k.
p. 23 — Xj is symmetric: ⟨Xjψ,φ⟩=⟨ψ,Xjφ⟩ on D(Xj).
pp. 26–27 — Pj is symmetric: ⟨Pjψ,φ⟩=⟨ψ,Pjφ⟩ on D(Pj).
Proposição 8.1 — Δψ(A)=0 if and only if ψ is an eigenfunction of A.
Definição 8.3 / p. 133 — the Gaussian packet is a state with E(Xj)=(x0)j, E(Pj)=(p0)j, Δ(Xj)=a, and it attains equality Δ(Xj)Δ(Pj)=ℏ/2.
Significance
The inequality is the prototype of all Robertson-type uncertainty relations and is the point where the commutator formalism of the book produces a numerical, physically testable consequence. Milestone 5 shows the constant ℏ/2 cannot be improved. The mathematics is classical and fully proved in the source; what this mission adds is a machine-checked version of the textbook's operator calculus on L2(Rn) — integration by parts for compactly supported C1 functions, symmetry of Xj and Pj, commutation relations, and explicit Gaussian integrals — reusable by later missions of the series (Ehrenfest's theorem, density operators, quantum statistical mechanics).
Difficulty
The algebraic core is a short Cauchy–Schwarz argument, but it silently uses facts about unbounded operators: that ⟨ψ,[Pj,Xj]ψ⟩ may be rewritten as ⟨Pjψ,Xjψ⟩−⟨Xjψ,Pjψ⟩ requires integration by parts with vanishing boundary terms, and the reduction to mean-zero observables requires the expected values to be real. Each of these needs integrability bookkeeping that the book leaves implicit. The Gaussian milestone requires evaluating first and second moments of Gaussian integrals in n dimensions.
Formalization scope
Rn is EuclideanSpace ℝ (Fin n) with Lebesgue measure; wave functions are plain functions ℝⁿ → ℂ (not L2 classes), operators are maps on such functions, and domains are imposed as explicit hypotheses (InPositionDomain, InMomentumDomain).
The partial derivative ∂/∂xj is the Fréchet derivative applied to the j-th basis vector.
Integrals are Bochner integrals, which return 0 for non-integrable integrands; every statement carries domain hypotheses guaranteeing integrability, so this junk value never enters a meaningful claim.
Expected values are complex numbers by definition; for symmetric operators they are real, which is part of what solvers must prove.
The goal is not vacuous: D(Pj) contains nonzero compactly supported C1 functions, which can be normalized.
Contributions welcome: integration-by-parts lemmas on Rn for compactly supported C1 functions, Gaussian moment computations, and an abstract Robertson inequality.