Alphabeta Math
Physics theoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedprecheck passverified 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.

Countable canonical identities under a local moment envelope

Physical scope

Discrete countable energy lists with a specified enumeration and a uniform local summable second-moment envelope on an open positive inverse-temperature interval; no lower-energy-bound-only or arbitrary trace claim is made.

Statement

Under the canonical sampling assumption Canonical sampling assumption for finite and normalized statistical models, let I be a specified nonempty countable microstate list with finite energies Ei in joules, counted once (gi=1), and let Jβ⊂(0,∞) be an open inverse-temperature interval in J−1. Set E∗=1 J, ei=Ei/E∗∈R, b=E∗β, and Jb=E∗Jβ⊂(0,∞); ei and b are dimensionless numerical coordinates. For β∈Jβ, define Z(β)=∑ie−βEi and, when 0<Z(β)<∞, pi(β)=e−βEi/Z(β). Suppose every compact interval K⊂Jβ admits a summable sequence ai≥0 with (1+∣ei∣2)e−βEi=(1+∣ei∣2)e−bei≤ai for all i and β∈K. Define Eˉβ=∑ipiEi and Var⁡β(E)=∑ipi(Ei−Eˉβ)2. Then these moments are finite, Z is C2, −∂βlog⁡Z=Eˉβ, ∂β2log⁡Z=Var⁡β(E), and the dimensionless Gibbs entropy sβ:=−∑ipilog⁡pi=log⁡Z+βEˉβ is finite. Define the physical Gibbs entropy by Sβ:=kBsβ in J K−1. Then Fstat:=−kBTlog⁡Z=Eˉβ−TSβ for β=(kBT)−1. A lower bound on the energies alone does not supply the summable envelope or finite partition function.

Facts & Assumptions

Given: A specified countable energy list, a positive finite canonical partition sum on Jβ, and the local summable second-moment envelope.

[F1]

Countable canonical model: use its real energy coordinates ei, real parameter b∈Jb, and gi=1. Its nonnegative series is the supremum of finite subsums; normalized probabilities and absolute-moment expectations are defined only at positive finite Z~(b)=∑ie−bei=Z(b/E∗).

[F2]

Canonical sampling assumption for finite and normalized statistical models: for this normalized countable model, pi=e−βEi/Z is the adopted preparation law.

[L1]

Summable canonical differentiation (current batch 11 draft): for real ei,b and gi=1, the local envelope (1+∣ei∣2)e−bei≤ai on each compact interval implies positive finite Z~∈C2, −∂blog⁡Z~=⟨e⟩b, ∂b2log⁡Z~=Var⁡b(e), and absolutely convergent entropy s=log⁡Z~+b⟨e⟩b. The current proof is supplied in that draft; its status is not publication acceptance.

[F3]

SI quantities and unit conventions: Ei and Eˉβ are in joules, T is in kelvins, and kB is in J K−1, so β is in J−1.

[A1]

The energy list and degeneracy convention are fixed while β varies; every compact interval in Jβ has the stated summable envelope.

Proof

Given: The countable model and its local envelope on the open interval Jβ.

1.1F1F2F3L1A1algebra

Apply [L1] to the real coordinates ei,b of [F1] with gi=1. For any compact interval Kb⊂Jb, its inverse image Kb/E∗⊂Jβ is compact, and the stated dimensionless envelope becomes exactly (1+∣ei∣2)e−bei≤ai there. Thus [L1] gives 0<Z~(b)<∞ and finite first and second numerical energy moments on Jb. Because bei=βEi, the normalized probabilities are precisely the adopted counted-once law [F2]. Multiplication by E∗ gives Eˉβ=E∗⟨e⟩b and Var⁡β(E)=E∗2Var⁡b(e).

2.1F2F3L1step 1.1algebra∎

Since Z(β)=Z~(E∗β), substituting Δb=E∗Δβ in the derivative difference quotients gives ∂βlog⁡Z=E∗∂blog⁡Z~ and ∂β2log⁡Z=E∗2∂b2log⁡Z~. The derivatives are continuous by [L1], hence Z∈C2 and the stated joule and joule-squared mean and variance identities follow. The same probabilities have absolutely convergent entropy sβ=log⁡Z~+b⟨e⟩b=log⁡Z+βEˉβ. Defining Sβ=kBsβ and using βkB=1/T gives Fstat=Eˉβ−TSβ=−kBTlog⁡Z. These are conditional model identities using the stated envelope and current draft mathematical supplier.

Depends on

Dependency tree · 2 levels

Sources