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ExampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6-luna)
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 diffusive time step and a four-state entropy reversal

Physical scope

Exact finite specializations of the stated walk, rotor, and permutation models; no observations or collision-derived diffusion law are asserted.

Example

This example evaluates one finite walk step size, one rotor period, and the first three states of the exact finite permutation model in Diffusion-scale walk and recurrence/coarse-entropy counterexamples.

Facts & Assumptions

Given: The three explicitly defined models and their units and conventions from Diffusion-scale walk and recurrence/coarse-entropy counterexamples.

[F1]

Diffusion-scale walk and recurrence/coarse-entropy counterexamples: under ℓ2=2Dδt, the walk has variance nℓ2; the rotor period is 2πI/∣p0∣; the finite permutation has coarse entropies 0,log⁡2,0 and fine entropy log⁡2.

Verification

technique · direct

Given: t=1 s, D=1 m2s−1, δt=1/8 s, I=1 kg m2, and p0=1 kg m2s−1.

1.1givenF1algebra

The scaling gives ℓ=2Dδt=1/2 m and n=⌊t/δt⌋=8, so Var⁡(Sn)=8(1/2 m)2=2 m2 and φSn(k)=cos⁡((1/2 m)k)8. This is a finite model marginal; its Gaussian limit is the separate δt↓0 conclusion of [F1].

2.1givenF1algebra∎

The rotor return period is 2πI/∣p0∣=2π s. The finite permutation calculation has coarse entropy 0 at times zero and two and log⁡2 at time one, while the fine entropy remains log⁡2 at all three times.

Depends on

Dependency tree · 2 levels

Sources