Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generated
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.

Gallager, random-coding, expurgated, and sphere-packing functions

Definition

Let W be a finite unconstrained DMC from finite nonempty X to Y, with rates and logarithms in nats. The one-letter function E0(ρ,P) for ρ≥0 and E0x(ρ,P) for ρ≥1 are defined in One-letter Gallager and expurgated exponent functions. Their maxima over the input simplex are attained and finite by Gallager and expurgated input-law maxima are attained. For every ρ≥0, define E0(ρ):=max⁡PE0(ρ,P); on the random-coding range set Er(R):=sup⁡0≤ρ≤1{E0(ρ)−ρR}. The expurgated function and sphere-packing expression are Eex(R):=sup⁡ρ≥1{max⁡PE0x(ρ,P)−ρR},Esp(R):=sup⁡ρ≥0{E0(ρ)−ρR}. These functions define lower or upper bounds used on this page; they do not assert that an error-exponent limit exists or that the sphere-packing bound applies without its later strict-feasibility hypothesis.

Depends on

Used by

Dependency tree · two levels

15 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