Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-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.

A finite quench has a positive probability of work below delta F

Physical scope

A calculated two-state hypothetical protocol example; it is not an experiment and makes no claim about a measured system.

Example

Take Ω={a,b}, β>0, E0(a)=E0(b)=0, and E1(a)=0, E1(b)=ϵ for ϵ>0. Prepare canonically at stage zero and use the identity transition kernel after the quench.

Facts & Assumptions

Given: The finite path model and canonical protocol preparation.

[F1]

Finite driven protocol and path work: work is the energy change at the instantaneous quench and the forward path is weighted by the initial law.

[A1]

Canonical initial preparation for a finite protocol: both initial states have probability 1/2.

[F2]

Jarzynski equality for a finite protocol with stationary kernels: this model satisfies the exact finite ensemble exponential-work identity.

Verification

Given: ϵ>0 and β>0.

1.1givenF1algebra

The partition sums are Z0=2 and Z1=1+e−βϵ, so ΔF=−β−1log⁡[(1+e−βϵ)/2]. Since e−βϵ<1, the ratio lies strictly between e−βϵ and 1, hence 0<ΔF<ϵ.

2.1A1F1step 1.1

The identity kernel leaves the state unchanged, so the two work values are 0 and ϵ, each with probability 1/2. Therefore PF(W<ΔF)=1/2.

3.1F2step 1.1step 2.1algebra∎

Directly, EFe−βW=(1+e−βϵ)/2=e−βΔF, while the event in step 2.1 has positive probability. Thus the equality is an ensemble statement and does not impose W≥ΔF on every path.

Depends on

Dependency tree · 2 levels

Sources