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.
Kirchhoff's matrix-tree theorem
Statement
Let be a finite simple graph on vertices with and Laplacian . For each , let be the matrix obtained from by deleting row and column . Then
where is the number of spanning trees of . In particular, every principal cofactor of the Laplacian is the same.
Facts & Assumptions
Given: A finite simple graph on vertices with , an oriented incidence matrix , and an index .
A spanning tree of is a spanning subgraph that is a tree, and counts the spanning trees (Spanning trees of a graph, The spanning-tree number ).
The Laplacian satisfies (The Laplacian equals for every oriented incidence matrix ).
A graph on vertices is a tree exactly when it is connected and has edges (Equivalent characterisations of a nonempty tree by unique paths, edge count, minimal connectivity and maximal acyclicity).
The Binet-Cauchy formula expands determinants of products of rectangular matrices as sums of products of maximal minors (The Binet-Cauchy formula).
Proof
Delete row from to obtain an matrix . By [L1], the matrix obtained by deleting row and column from is . Applying [L3] gives , where ranges over all -edge subsets of .
Fix such a set , and let be the spanning subgraph with edge set . If is disconnected, then the vertex-indicator vector of the component of gives a nonzero linear relation among the rows of , so . If is connected, then has edges and is therefore a tree by [L2]. In that case choose the orientation of every edge of away from the root and order the nonroot vertices so that every parent precedes its children. In this order the matrix is triangular with diagonal entries all , hence . Therefore is when is the edge set of a spanning tree and otherwise.
Substituting step 1.2 into the sum of step 1.1 shows that counts exactly the spanning trees of , namely by [F1]. Since the right-hand side does not depend on , every principal cofactor of the Laplacian is equal.
Depends on
- The Laplacian matrix of a finite simple graph
- The spanning-tree number $\tau(G)$
- An oriented incidence matrix of a finite simple graph
- Spanning trees of a graph
- The Binet-Cauchy formula
- The Laplacian equals $BB^{\mathsf T}$ for every oriented incidence matrix $B$
- Equivalent characterisations of a nonempty tree by unique paths, edge count, minimal connectivity and maximal acyclicity
Used by
Dependency tree · two levels
24 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
- Richard P. Stanley, MIT 18.314 handout, Theorem 1.8 (standard reference, not scraped)