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.
For every nontrivial connected graph,
Statement
For every connected finite simple graph with at least two vertices, .
Facts & Assumptions
Given: A connected graph with .
is the least size of a vertex set whose deletion disconnects or leaves at most one vertex, and is the least size of an edge cut (Vertex cuts, edge cuts, vertex connectivity and edge connectivity , with conventions for complete and one-vertex graphs).
The components of a disconnected graph partition its vertex set, and a walk between two different components must traverse an edge joining the two sides (The connected components of a graph partition its vertex set and are its maximal connected subgraphs, Connected graphs and connected components defined by the existence of vertex paths, Every walk between two vertices contains a path between the same endpoints).
Proof
Choose an edge cut of size . Let be the vertex set of one component of and put . Then and are nonempty, and every edge of between and belongs to .
If , deleting all but one vertex gives a vertex cut of size , so .
Suppose . The bipartite set of all pairs with one endpoint in and one in has members. Hence not every such pair is an edge of , for all cross edges lie in . Choose nonadjacent and .
For each edge , choose one endpoint different from both and ; this is possible because . Put . Then , every edge of meets , and .
Any path from to must use an edge between and , hence an edge of by step 1.1, and therefore a vertex of by step 3.1. Thus has no to path and is disconnected, so is a vertex cut.
In the case , step 4.1 gives ; step 2.1 gives the same inequality in the remaining case.
Depends on
- Vertex cuts, edge cuts, vertex connectivity $\kappa(G)$ and edge connectivity $\lambda(G)$, with conventions for complete and one-vertex graphs
- Connected graphs and connected components defined by the existence of vertex paths
- Every walk between two vertices contains a path between the same endpoints
- The connected components of a graph partition its vertex set and are its maximal connected subgraphs
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 22 results over 13 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
- Wolfram MathWorld, Vertex Connectivity (standard reference, not scraped)