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.
Ergodic Shannon–McMillan–Breiman theorem
Statement
For a stationary ergodic finite-alphabet source, the componentwise information-rate limit is the constant entropy rate.
Facts & Assumptions
Given: A stationary ergodic finite-alphabet source with entropy rate .
Componentwise Shannon–McMillan–Breiman theorem: normalized block self-information converges almost surely to an invariant random variable of mean .
Equivalent invariant-set and invariant-function criteria for ergodicity: every finite-valued invariant measurable function in an ergodic probability system is almost surely constant.
Proof
Given: The source and [F1]–[F2].
By [F1], the normalized block information converges almost surely to an invariant with . Since the source is ergodic, [F2] makes a constant almost surely.
The expectation of a constant equals that constant, so almost surely. Therefore almost surely. For this says the normalized information tends to zero; no positive-rate assumption is used.
Depends on
Used by
Dependency tree · two levels
18 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Robert M. Gray, Entropy and Information Theory, corrected edition (standard reference, not scraped)