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.
Specific Relative Entropy of a Poisson Law with Changed Intensity
Example
For intensity , let be the translation-invariant Poisson law from Poisson Configuration Reference, compared with the unit-intensity reference . Its specific relative entropy is The parameter is a mathematical intensity relative to the chosen reference; no physical preparation is asserted.
Facts & Assumptions
Given: AC, , , and with reference .
The law is invariant under every translation, its cell count is Poisson with mean , conditional positions have the same uniform law for all , and disjoint cells are independent (Poisson Configuration Reference, Poisson Reference Counts and Translation Invariance).
Finite-region relative entropy is computed from a Radon–Nikodym density, and the specific entropy is the normalized cube limit (Relative Entropy of Probability Measures, Specific Relative Entropy Density).
The class consists exactly of laws invariant under every with finite . Such laws integrate every local tame observable (Local-Tame Topology).
Verification
Given: The hypotheses and the laws in Facts & Assumptions.
In one unit cell, the conditional distribution of point positions given the count is identical for and . The ratio of their count probabilities at is Thus this is the Radon–Nikodym density on that cell.
The cube is the disjoint union of unit cells. Independence in [F1] makes the finite-cube density the product of the cell densities:
The count is Poisson with mean by [F1]. Directly from its mass function and the exponential series, Therefore [F2] gives for every positive integer .
By [F1], is invariant under every translation, and step 3.1 with gives . Thus by [F4], which verifies the domain hypothesis of the specific-entropy theorem in [F2]. Its integer-cube supremum formula applied to step 3.1 yields and identifies this value with the real-side cube limit. At the value is zero, the reference-law baseline.
Depends on
Local-Tame Topology
The Axiom of Choice
Poisson Configuration Reference
Poisson Reference Counts and Translation Invariance
Relative Entropy of Probability Measures
Specific Relative Entropy Density
The real exponential function and the number by a power series
The factorial and the falling factorial , defined by recursion in
The exponential addition formula