QED
Graphs · step 13 of 14

Chromatic number & colouring bounds

The chromatic number χ(G) is the fewest colours needed so that adjacent vertices differ. Bounding it from below usually means exhibiting a clique — χ ≥ ω(G) — and from above means giving an explicit colouring, with greedy guaranteeing χ ≤ Δ + 1. Brooks’ theorem sharpens this to χ ≤ Δ except for complete graphs and odd cycles.

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Method: how to approach it

The order below is what examiners expect to see, and each step carries its own marks.

  1. Find a large clique for a lower boundA set of k mutually adjacent vertices forces at least k colours.
  2. Colour greedily for an upper boundOrder the vertices and give each the smallest colour unused by its neighbours. This never needs more than Δ + 1.
  3. Squeeze the bounds togetherIf a clique of size k exists and you produce a k-colouring, then χ = k exactly — no further work needed.
  4. Use structural factsχ = 1 iff no edges; χ ≤ 2 iff bipartite (no odd cycle); planar graphs satisfy χ ≤ 4.

Worked example

Find χ(C₅) and χ(K₄).

  1. C₅ has edges, so χ ≥ 2. But it is an odd cycle, so it is not bipartite and χ ≥ 3.
  2. Colour it 1,2,1,2,3 around the cycle — a valid 3-colouring.
  3. K₄ has all four vertices mutually adjacent, so all must differ: χ ≥ 4.
  4. Four colours obviously suffice.

Answer. χ(C₅) = 3 and χ(K₄) = 4.

Where marks get dropped

These are the specific errors that cost credit on chromatic number & colouring bounds questions — QED's rubric penalises each of them separately.

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Chromatic number & colouring bounds — frequently asked questions

Is computing χ hard?

Yes — determining whether χ ≤ 3 is NP-complete. Even approximating χ well is hard, so exam questions stay small or structured.

What is the four colour theorem?

Every planar graph has χ ≤ 4. Proved in 1976 with substantial computer assistance, and still with no short human-checkable proof.

How does χ relate to independent sets?

A colour class is an independent set, so χ ≥ n/α(G) where α is the largest independent set size. Colouring is exactly partitioning into independent sets.

The rest of Graphs

Terminology, connectivity, trees, paths and cycles. Each subtopic below has its own method, worked example and mark-losing traps.

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