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.
A maximal acyclic spanning subgraph of a connected graph is a spanning tree
Statement
Let be a finite connected graph. If is an acyclic spanning subgraph of maximal under edge inclusion among such subgraphs, then is a spanning tree of .
Facts & Assumptions
Given: A connected graph and an edge-maximal acyclic spanning subgraph .
The connected components of partition (The connected components of a graph partition its vertex set and are its maximal connected subgraphs).
A spanning tree is a connected acyclic spanning subgraph (Spanning trees of a graph, Trees, forests, leaves and isolated vertices).
Connectedness supplies a path between vertices (Connected graphs and connected components defined by the existence of vertex paths).
Proof
Suppose is disconnected, and choose vertices in distinct components of .
A - path in has a first edge whose endpoints lie in distinct components of .
Adding to cannot create a cycle, because a cycle through would contain an - path already in , contrary to the choice of distinct components.
Thus is a strictly larger acyclic spanning subgraph, contradicting maximality.
Hence is connected, and therefore it is a spanning tree.
Depends on
- Spanning trees of a graph
- Trees, forests, leaves and isolated vertices
- Connected graphs and connected components defined by the existence of vertex paths
- The connected components of a graph partition its vertex set and are its maximal connected subgraphs
- Adding an edge between two nonadjacent vertices of a tree creates exactly one cycle
- $\lvert\mathcal{P}(A)\rvert = 2^{\lvert A\rvert}$ for finite $A$
- The cardinality $\lvert A\rvert$ of a finite set
- The well-ordering principle
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 59 results over 21 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)