← Return to results

Minimum vertex cover

On this page
  1. Mathematical statement
  2. Representative formula (exact TeX)
  3. Assumptions
  4. Symbol scope
  5. Intuition, definition, and misconceptions
  6. Adopted derivation guide
  7. Prerequisites
  8. Verification boundary
  9. Next obligation
  10. Same-source structured data

This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.

A minimum vertex cover has least cardinality among all vertex covers of the finite simple graph.

mko-minimum-vertex-cover · definition · v0.10.0

Mathematical statement

For a complete bounded finite simple undirected graph enumerate every vertex subset and audit every edge to obtain minimum cardinality and all minimizing covers. A nonminimum cover needs an explicit smaller-cover witness. Inclusion-minimal means each single-vertex deletion loses coverage; it does not imply minimum cardinality. Retain edgeless graphs, multiple minimum solutions and minimal-but-nonminimum examples. Do not substitute maximality, edge covers or independent sets, or invoke Konig theorem or weighted/directed variants.

Representative formula (exact TeX)

V(G,C)=k

Assumptions

  • Vertices are finite and unique; edges are loop-free duplicate-free unordered pairs.
  • The vertex bound permits complete subset enumeration.

Symbol scope

  • V — minimum-vertex-cover operator
  • G — finite simple graph
  • C — vertex cover
  • k — minimum cover cardinality

Intuition, definition, and misconceptions

Qualify every vertex subset against every edge.

Return minimum size and all minimizing covers together.

Give explicit nonminimum and minimal-but-nonminimum witnesses.

Inclusion-minimal or maximal is not the same as minimum.

Adopted derivation guide

All eight subsets for minimum cover on P3

The original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.

Prerequisites

Verification boundary

Only small finite simple graphs are exhaustively audited; no polynomial-time or approximation-ratio claim is supplied.

not_formalized

This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.

Next obligation

Add the vertex-cover decision problem and approximation boundaries.

Same-source structured data

This page and the interactive view use the same object and existing language edition; this adds no proof or human review.

Canonical MKO JSON · Plain Markdown