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.
Every edge outside a spanning tree determines a unique fundamental cycle
Statement
If is a spanning tree of and , then has a unique cycle, namely together with the unique - path in . This is the fundamental cycle of with respect to .
Facts & Assumptions
Given: A spanning tree of and .
A tree has a unique path between each two vertices (Equivalent characterisations of a nonempty tree by unique paths, edge count, minimal connectivity and maximal acyclicity).
Adding an edge between nonadjacent vertices of a tree creates exactly one cycle (Adding an edge between two nonadjacent vertices of a tree creates exactly one cycle).
contains every vertex of (Spanning trees of a graph).
Proof
The endpoints belong to and are nonadjacent there.
Let be the unique - path in . By edge addition, is the unique cycle in .
Depends on
Used by
- A connected graph with pairwise distinct edge weights has a unique minimum spanning tree Corollary
- A fundamental cycle and a fundamental cut in a fixed spanning tree Example
- Every edge of a connected graph lies in every spanning tree False statement
- The spanning-tree exchange lemma Lemma
- Cut and cycle properties for minimum spanning trees Theorem
- Kruskal's greedy edge procedure produces a minimum spanning tree Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 24 results over 11 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
- Reinhard Diestel, Graph Theory, Preview Chapter 1 (standard reference, not scraped)