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.

The Reference Has Zero Specific Relative Entropy

Example

Take P=Q, the unit-intensity Poisson configuration reference. This gives the zero-information baseline for the A-page specific relative entropy.

Facts & Assumptions

Given: P=Q as probability laws on the configuration space.

[F1]

Finite-region relative entropy is D(PG∥QG)=∫hGlog⁡hG dQG when hG=dPG/dQG (Relative Entropy of Probability Measures).

[F2]

Specific relative entropy is the large-cube limit of normalized finite-region relative entropies (Specific Relative Entropy Density).

[F3]

Poisson Reference Counts and Translation Invariance: under the declared AC hypothesis, Q=Q1 is stationary and has expected unit-cell count one, so it belongs to the stationary finite-intensity domain of [F2].

Verification

Given: P=Q.

1.1givenF1F3algebra

By [F3], P=Q satisfies the stationary finite-intensity hypotheses of [F2]. For every bounded cube G, equality of the laws gives PG=QG and the Radon–Nikodym derivative hG=1 QG-almost everywhere. Thus D(PG∥QG)=∫1log⁡1 dQG=0.

2.1F2step 1.1∎

Every normalized cube entropy is therefore zero, so its limit is I(P)=0 by [F2]. Also ∣G∣−1log⁡hG=0 P-almost surely for every such G.

Depends on

Dependency tree · 2 levels