Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-16
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 weighted directed multigraphs, weighted walks and their transfer matrices

Definition

Let R be a commutative ring (Commutative ring). A finite weighted directed multigraph over R consists of a finite vertex set p={0,…,p−1}, a finite edge set E, source and target maps s,t:E→p, and a weight map w:E→R. Parallel edges and loops are allowed.

A walk of length n from u to v is a sequence (e0,…,en−1) of edges with s(e0)=u, t(en−1)=v, and t(ei)=s(ei+1) whenever i+1<n. Its weight is ∏i<nw(ei). At length zero there is one empty walk from u to u, of weight 1R, and no empty walk between distinct vertices.

The transfer matrix or weighted adjacency matrix is A∈Mp(R) (Finite rectangular matrices over a commutative ring, their entries, rows and columns) defined by

Auv:=∑e∈Es(e)=u, t(e)=vw(e).

An empty edge sum is 0R. Rows record sources and columns record targets.

Depends on

Used by

Dependency tree · two levels

6 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