Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-07
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.

Regular multigraph and normalized adjacency

Definition

A finite d-regular adjacency-slot multigraph on V={1,,n}, with n1 and integer d>0, is a symmetric matrix AZ0n×n with every row sum d. Auv counts slots from u to v; diagonal entries count loop slots. Its normalized adjacency is M=A/d. We use f,g=n1vf(v)g(v) unless an unnormalized inner product is explicitly specified.

An adjacency list records the d destinations per vertex, including repetitions. An ordinary undirected edge has two incidence slots paired by reversal; an ordinary loop has two slots at the same vertex. Such a representation requires even diagonal entries. Any symmetric integer matrix can be converted to it by doubling every slot. Uniform directed-slot sampling chooses one of the nd slots; for a reverse-paired graph it induces the uniform distribution on its nd/2 ordinary edges. Connectivity uses positive off-diagonal entries. When n=1, the mean-zero subspace is {0}.

Used by

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Nothing. This result depends on no other item in the library.

Sources