Graph coloring

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 proper k-coloring uses at most k colors and gives different colors to the endpoints of every edge.

mko-graph-coloring · definition · v0.10.0

Mathematical statement

Check every edge in the complete graph. Nonadjacent vertices may share a color. One proper coloring supplies only a chromatic-number upper bound; optimality needs a separate lower-bound certificate, and a greedy result is not automatically optimal.

Representative formula (exact TeX)

C(G)

Assumptions

  • The finite undirected simple graph and a color value for every vertex are complete.
  • Renaming color labels does not change the underlying vertex partition.

Symbol scope

  • C — proper vertex coloring
  • G — finite simple graph

Intuition, definition, and misconceptions

The endpoints of every edge have different colors.

The number of used colors is at most k.

An upper bound is not necessarily the chromatic optimum.

All vertices need not have different colors, and a greedy color count is not automatically the minimum.

Adopted derivation guide

A complete coloring and a nonoptimal greedy trace

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 the specified coloring and upper bound are checked; optimality is not claimed without a lower bound.

not_formalized

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

Next obligation

Add chromatic number and clique lower bounds.

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