Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicableSession-authored (Fable 5 assisted)judge 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,,p1}, a finite edge set E, source and target maps s,t:Ep, and a weight map w:ER. Parallel edges and loops are allowed.

A walk of length n from u to v is a sequence (e0,,en1) of edges with s(e0)=u, t(en1)=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 AMp(R) (Finite rectangular matrices over a commutative ring, their entries, rows and columns) defined by

Auv:=eEs(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 · next 3 levels

Direct dependencies and their dependencies through the next three levels: 22 results over 14 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.

Sources