Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-08-03
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.

Proper vertex colourings and chromatic number

Definition

Let G=(V,E) be a finite simple graph (A finite simple graph is a finite vertex set together with a set of two-element vertex subsets) and let k∈N. A proper k-vertex-colouring is a function

c:V⟶k

such that c(u)≠c(v) whenever {u,v}∈E. Its fibres are the colour classes. The graph is k-colourable when such a function exists.

The chromatic number of G is

χ(G):=min⁡{ k∈N:G is k-colourable }.

This minimum exists. Since V is finite, there is a bijection b:V→∣V∣ (The cardinality ∣A∣ of a finite set), and b is a proper ∣V∣-colouring because adjacent vertices are distinct. The displayed set of admissible natural numbers is therefore nonempty, so it has a least element by The well-ordering principle.

The null graph has V=∅. Its unique empty function ∅→0 is a proper 0-colouring, so χ(G)=0. Conversely, a nonnull graph has no function from its nonempty vertex set to 0=∅, and hence has positive chromatic number. Colours are labels only: composing a proper colouring with a bijection of its colour set changes no adjacency condition.

Depends on

Used by

Dependency tree · two levels

21 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