Alphabeta Math
DefinitionDefinition: AI-adaptedProof: AI-generatedPipeline-generatedprecheck pendingjudge 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.

Finite-state compressibility of an individual sequence

Definition

Consider a finite alphabet A and a one-sided infinite sequence x=x0x1⋯.

An information-lossless s-state encoder consists of a finite state set S, an initial state, an update map g:S×A→S, and an output map f:S×A→{0,1}∗. It is information-lossless when for each initial state the map from finite input words to (concatenated output, final state) is injective.

Let LE(x0n−1) be its concatenated output length and set ρs(x)=inf⁡Elim sup⁡nLE(x0n−1)/n, over information-lossless encoders with at most s states. Define finite-state compressibility ρFS(x)=inf⁡s≥1ρs(x). The infima are nonincreasing in s and bounded below by zero, so the limit in the equivalent notation lim⁡s→∞ρs(x) exists.

Facts & Assumptions

Given: A finite alphabet A and a one-sided infinite sequence x=x0x1⋯.

[F1]

Finite-alphabet stationary source: the source alphabet is a finite nonempty set.

Proof

Given: The finite-state coding convention in the statement.

1.1F1givenalgebra

An information-lossless s-state encoder consists of a finite state set S, an initial state, an update map g:S×A→S, and an output map f:S×A→{0,1}∗. It is information-lossless when for each initial state the map from finite input words to (concatenated output, final state) is injective.

2.1givenstep 1.1constructalgebra∎

The encoder class is nonempty: let t=max⁡(1,⌈log⁡2∣A∣⌉) and choose distinct t-bit labels for the finitely many source symbols. Use one state with the identity update and emit each symbol's label. The output splits into fixed-width labels and therefore uniquely determines every finite input word. Let LE(x0n−1) be an encoder's concatenated output length and set ρs(x)=inf⁡Elim sup⁡nLE(x0n−1)/n, over information-lossless encoders with at most s states. Define finite-state compressibility ρFS(x)=inf⁡s≥1ρs(x). The infima are nonincreasing in s and bounded below by zero, so the limit in the equivalent notation lim⁡s→∞ρs(x) exists.

Depends on

Used by

Dependency tree · two levels

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Sources