Alphabeta Math
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-11
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 face of a two-connected plane graph is bounded by a cycle

Facts & Assumptions

Given: A two-connected plane graph G and a face f with its closed boundary walk.

[L1]

For k≥1, a finite graph on at least k+1 vertices is k-connected if and only if every two distinct vertices are joined by at least k internally vertex-disjoint paths (A finite graph on at least k+1 vertices is k-connected if and only if every two vertices have k internally disjoint paths).

Proof

technique · contradiction
1.1

Suppose the facial boundary walk repeats a vertex v before returning to its start. The two portions between consecutive occurrences leave v through different local sectors of the face.

assume-contra
2.1

Vertices or edges incident with those two portions lie in different components of G−v: a path between them avoiding v would, together with boundary subpaths, cross the face boundary in the plane. Thus v is a cut vertex.

step 1.1
3.1

By [L1], two-connectivity supplies two internally vertex-disjoint paths between vertices chosen on the two portions, so deletion of v cannot separate them. This contradicts step 2.1. The boundary walk has no repeated vertex and is therefore a cycle.

step 2.1L1discharge-contradiction∎

Depends on

Used by

Dependency tree · two levels

15 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