Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Zero-inverse-temperature-parameter limit with forbidden pairs retained

Statement

Assume AC, the ultrafilter extension principle, DC, and HB as in Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology. Let ϕ be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation, and let B={x:ϕ(x)=+∞}. For a finite configuration ω, call it admissible when no pair displacement belongs to B; for periodic boxes require this also for every periodic image pair. Define the zero-inverse-temperature-parameter continuation (the mathematical β=0 branch) to be zN(ω)1admissible(ω), explicitly retaining the hard exclusion. Then the normalized Poisson free and periodic partition rates exist and equal −min⁡P∈KB{I(P)−ρ(P)log⁡z}, where KB is the set of stationary finite-intensity laws with no forbidden pair almost surely. The minimizer set is nonempty and compact in τL. The periodically continued grand laws are relatively compact in τL, all their accumulation points are minimizers, and if this minimizer is unique they converge to it for every measurable local observable of at-most-linear count growth. If B has Lebesgue measure zero, the limiting grand law is the unrestricted activity-z Poisson law. If ∣B∣>0, that Poisson law is not in KB, so no limiting minimizer is that law. Nonemptiness alone is insufficient: B={0} forbids no pair of distinct points. The retained branch never assigns a value to the undefined product 0⋅(+∞).

Facts & Assumptions

Given: Superstability and regularity, z>0, the unit-intensity Poisson reference, and the explicitly defined hard-admissibility beta-zero weight.

[F1]

Superstable regular pair interactions and configurational ensemble notation: the interaction is an even measurable superstable pair potential with a decreasing integrable two-sided far-tail envelope, and its normalized Poisson partition uses 1/N!.

[F2]

Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: stationary laws with bounded Poisson specific entropy are compact in τL; I is lower semicontinuous.

[F3]

Spatial Mean-Information Theorem: for stationary laws ergodic under all translations and with finite specific entropy, normalized finite-volume log likelihoods converge in probability to I(P).

[F4]

Relative Entropy Variational, Chain, and Conditioning Rules: for bounded f, D(P∥Q)≥EPf−log⁡EQef, and relative entropy has the conditional chain rule and is nonnegative.

[F5]

Superstable regular continuum grand pressure and variational formula: for positive inverse temperature the stationary entropy-energy functional has compact sublevels, its free and periodic pressures agree, and finite-energy stationary laws admit separated-block approximation with the stated entropy and local-tame controls.

[F6]

Local-Tame Topology: τL tests every measurable local observable bounded by a constant times 1+NA.

[F7]

Poisson Reference Counts and Translation Invariance and Monotone convergence for the integral: the unit-cube Poisson count has exponential moment EQeaNC=eea−1, and bounded truncations increase to this count test.

[F8]

Periodic preparation and local-tame transfer from entropy bounds: torus-invariant finite-volume laws with bounded entropy density have relatively compact continued laws, uniformly integrable local counts, and limit entropy bounded by the limiting finite-volume entropy density.

[F9]

Poisson Configuration Reference and Poisson Reference Counts and Translation Invariance: the activity-z Poisson restriction to a bounded cube A has sector density e−z∣A∣zN/N! against labelled product Lebesgue measure. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product permits nonnegative sector sums and pair-count integrals to be interchanged.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1givenF1algebra

Regularity bounds ϕ above outside a bounded set, so B is bounded. Define χ=+∞ on B and 0 elsewhere. Then χ is even, stable with constant 0, and has zero far tail. Its finite-volume beta-zero partition is exactly the specified hard-admissibility partition.

1.2F2F4F6F7algebra

For each bounded region A, the event that A contains a forbidden pair is a bounded measurable local event. Its probability is continuous under τL by [F6]. Exhausting space by countably many bounded cubes shows that KB is τL-closed. Apply [F4] to the bounded tests fM=amin⁡(NC,M) and let M→∞. Monotone convergence and [F7] give I(P)≥aρ(P)−(ea−1), hence ρ(P)≤(I(P)+ea−1)/a. Choosing a>2max⁡(log⁡z,0) makes I(P)−ρ(P)log⁡z coercive in I(P). By [F2], every finite sublevel is compact and lower semicontinuous, so the infimum on KB is attained whenever the admissible class is nonempty. The empty configuration law gives a finite candidate.

1.3F1F2F4F5algebra

Fix P∈KB with I(P)<∞. Condition its restriction to a cube of side n on configurations whose distinct points have separation at least 1/q and whose finite pair energies are at most q. As q→∞, these events increase to probability one because configurations are locally finite, simple, and hard-admissible. Choose q=q(n) so the conditioning probability tends to one. Tile space by these conditioned blocks separated by an empty corridor wider than the range of B and the fixed tail cutoff, take independent copies, then average the lattice phase uniformly. No cross-block pair is forbidden. The conditional entropy inequality D(P(⋅∣E)∥Q)≤[D(P∥Q)+1]/P(E)−log⁡P(E) follows by expanding the conditional density 1E(dP/dQ)/P(E) and using −ulog⁡u≤1/e. Additivity on independent blocks and the vanishing corridor fraction give lim sup⁡I(Pn)≤I(P); local count truncation and finite first moments give Pn→P in τL. Each Pn has finite original energy density.

2.1F2F3F5step 1.3algebra

For a finite-volume beta-zero Gibbs law GLb, direct integration of its density gives −log⁡ZQ,L=D(GLb∥QL)−(log⁡z)EGLbNL. Stationarize independent L-blocks and average their phase. The entropy chain rule bounds the resulting specific entropy by the displayed finite-volume entropy per volume, and the intensity is L−dEGLbNL. The empty configuration gives ZQ,L≥e−Ld; applying the Poisson entropy count inequality with a coefficient greater than max⁡(log⁡z,0) in the displayed identity bounds both intensity and entropy density uniformly. A forbidden-pair event supported in a fixed bounded cube can occur in the block law only when that cube crosses a block face, whose random-phase probability is O(1/L). Hence hard admissibility passes to every local limit. Compactness [F2], lower semicontinuity, and the entropy identity therefore give the pressure upper bound by the negative minimum in the statement. For the reverse bound, use the approximating finite-energy laws from step 1.3. Their independent separated blocks are admissible; the spatial likelihood theorem [F3] supplies typical blocks with likelihood cost I(Pn), while empirical counts converge to ρ(Pn). Changing from Poisson measure to the beta-zero weight gives the lower rate −I(Pn)+ρ(Pn)log⁡z. Let n→∞ and optimize over P. Corridors change the normalized log weight by their vanishing volume fraction, so free and periodic rates agree.

3.1F2F4F6F7F8step 1.2step 2.1algebra

Put α=log⁡z, pL=L−dlog⁡ZQ,L, and dL=L−dD(GLper∥QL). The exact identity in step 2.1 reads dL=αρL−pL. For a>max⁡(α,0), the entropy count inequality gives dL≥aρL−(ea−1); the convergent pressure rates therefore bound both ρL and dL. The grand density and periodic hard-admissibility condition are invariant under translations modulo the box, so [F8] gives relatively compact continued laws. Every limit P lies in KB by the bounded local forbidden-pair tests from step 1.2. Along a subsequence realizing the entropy liminf, [F8] and count-tail uniformity give I(P)−αρ(P)≤lim inf⁡(dL−αρL)=−lim⁡pL=min⁡KB(I−αρ). The opposite inequality is the definition of the minimum. Thus every accumulation point is a minimizer. If there is just one, relative compactness forces convergence of the entire sequence in τL, including every stated tame test.

4.1F1F7F9step 1.1step 1.2algebra∎

For the activity-z Poisson law Qz and a bounded cube A, the finite-sector Poisson formula gives the expected number of unordered forbidden pairs as z22∫A21B(x−y) dx dy. This follows by cancelling N(N−1) against N! in the nonnegative sector sum; the remaining exponential sum cancels its Poisson normalization. If ∣B∣=0, Tonelli makes this expectation zero. Exhausting space by integer cubes shows that Qz is hard-admissible almost surely. For all sufficiently large L, the same null-set calculation covers every pair of distinct representatives and their countably many periodic images; self-image offsets Lk, k≠0, lie outside the bounded set B. Thus both finite grand laws are unrestricted Poisson restrictions, and their periodically continued laws converge on every bounded region to Qz by [F7]. If ∣B∣>0, choose A large enough that ∣A∩(A+h)∣>0 for every h∈B. Changing variables gives ∫A21B(x−y)dxdy=∫B∣A∩(A+h)∣dh>0. This finite positive expectation implies positive probability of a forbidden pair, so Qz∉KB. Finally B={0} excludes no distinct pair at all.

Depends on

Dependency tree · 2 levels

Sources