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 be a commutative ring (Commutative ring). A finite weighted directed multigraph over consists of a finite vertex set , a finite edge set , source and target maps , and a weight map . Parallel edges and loops are allowed.
A walk of length from to is a sequence of edges with , , and whenever . Its weight is . At length zero there is one empty walk from to , of weight , and no empty walk between distinct vertices.
The transfer matrix or weighted adjacency matrix is (Finite rectangular matrices over a commutative ring, their entries, rows and columns) defined by
An empty edge sum is . 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
- R. P. Stanley, Enumerative Combinatorics, vol. 1, 2nd ed., Section 4.7.1 (standard reference, not scraped)