Alphabeta Math
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2 results · all verified · 0 also independently AI-judged
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Graph Colouring

1 · Prerequisites

2 · Summary

Finite simple graphs, finite cardinality, vertex neighbourhoods and maximum degree supply the combinatorial setting. The sum rule supplies the finite counting step used to compare colour classes with independent sets.

This page defines proper vertex colourings and chromatic number, proves the greedy bound χ(G)Δ(G)+1\chi(G)\leq\Delta(G)+1, and defines clique and independence numbers. It then proves ω(G)χ(G)\omega(G)\leq\chi(G) and V(G)χ(G)α(G)|V(G)|\leq\chi(G)\alpha(G), including the null graph boundary.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-08-03Open item page →

Proper vertex colourings and chromatic number

Definition

Let G=(V,E)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 kNk\in\mathbb N. A proper kk-vertex-colouring is a function

c:Vkc:V\longrightarrow k

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

The chromatic number of GG is

χ(G):=min{kN:G is k-colourable}.\chi(G):=\min\{\,k\in\mathbb N:G\text{ is }k\text{-colourable}\,\}.

This minimum exists. Since VV is finite, there is a bijection b:VVb:V\to |V| (The cardinality A\lvert A\rvert of a finite set), and bb is a proper V|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=V=\varnothing. Its unique empty function 0\varnothing\to0 is a proper 00-colouring, so χ(G)=0\chi(G)=0. Conversely, a nonnull graph has no function from its nonempty vertex set to 0=0=\varnothing, 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.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-03Open item page →

The greedy colouring bound χ(G)Δ(G)+1\chi(G)\leq\Delta(G)+1 for every nonnull finite graph

Statement

Let G=(V,E)G=(V,E) be a nonnull finite simple graph. Then

χ(G)Δ(G)+1.\chi(G)\leq\Delta(G)+1.

More precisely, after the vertices are put in any finite order, assigning to each vertex the least colour not already used by an earlier neighbour produces a proper colouring with colours in Δ(G)+1\Delta(G)+1.

Facts & Assumptions

Given: A nonnull finite simple graph G=(V,E)G=(V,E), n:=Vn:=|V|, and a bijective enumeration ivii\mapsto v_i from nn to VV.

[L1]

A proper kk-colouring assigns different elements of kk to adjacent vertices, and χ(G)\chi(G) is the least admissible kk (Proper vertex colourings and chromatic number).

[L3]

If m<nm<n are natural numbers, there is no injection from nn into mm (The pigeonhole principle on N\mathbb{N}, claim 2).

[L4]

Every nonempty subset of the natural numbers has a least element (The well-ordering principle).

[L5]

A subset of the natural numbers containing 00 and closed under successor is all of the natural numbers; and exactly one of i<ni<n, i=ni=n, n<in<i holds (The principle of mathematical induction, Trichotomy of the order on N\mathbb{N}).

Proof

technique · constructive
1.1

For each i<ni<n, at most degG(vi)Δ(G)\deg_G(v_i)\leq\Delta(G) earlier neighbours of viv_i have already been considered. If all Δ(G)+1\Delta(G)+1 colours occurred among them, choosing for each colour its least earlier-neighbour index would inject the Δ(G)+1\Delta(G)+1 colours into a set of at most Δ(G)\Delta(G) indices, contradicting [L3]. Thus at least one colour is absent.

L2L3L4
1.2

Let P(i)P(i) say that either n<in<i, or the first ii vertices have a unique colouring which uses the least available colour at every vertex. The empty colouring verifies P(0)P(0).

construct
2.1

Assume P(i)P(i). If n<in<i or i=ni=n, then n<i+1n<i+1, so P(i+1)P(i+1). If i<ni<n, step 1.1 gives a nonempty set of available colours for viv_i, and [L4] gives its unique least element. Appending that colour to the unique preceding colouring produces the unique greedy colouring of the first i+1i+1 vertices; hence P(i+1)P(i+1). These cases are exhaustive by [L5].

step 1.1step 1.2L4L5construct
3.1

Induction using steps 1.2 and 2.1 gives P(n)P(n). Since n<nn<n is false, this gives a greedy colouring cc of all nn vertices.

step 1.2step 2.1L5construct
4.1

If {vi,vj}E\{v_i,v_j\}\in E with i<ji<j, then viv_i is an earlier neighbour of vjv_j, so the rule in step 3.1 gives c(vj)c(vi)c(v_j)\ne c(v_i). Thus cc is a proper (Δ(G)+1)(\Delta(G)+1)-colouring.

step 3.1L1
5.1

Since such a colouring exists, the minimality clause in [L1] gives χ(G)Δ(G)+1\chi(G)\leq\Delta(G)+1.

step 4.1L1discharge-construct
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-08-03Open item page →

Cliques, independent sets, clique number and independence number

Definition

Let G=(V,E)G=(V,E) be a finite simple graph. A subset SVS\subseteq V is independent, or stable, when no two distinct elements of SS are adjacent. A subset KVK\subseteq V is a clique when every two distinct elements of KK are adjacent.

The independence number and clique number are

α(G):=max{S:SV is independent},ω(G):=max{K:KV is a clique}.\alpha(G):=\max\{\,|S|:S\subseteq V\text{ is independent}\,\},\qquad \omega(G):=\max\{\,|K|:K\subseteq V\text{ is a clique}\,\}.

These maxima are well-defined. Every subset of the finite set VV is finite and has cardinality at most V|V| (A subset of a finite set is finite, with BA\lvert B\rvert \le \lvert A\rvert, and equality holds if and only if B=AB = A). Thus the sizes occurring in either display form a subset of {0,,V}\{0,\ldots,|V|\} that contains 00, since the empty subset is both independent and a clique. A short induction on V|V| shows that every such subset has a largest element: either its top element occurs, or it is a subset of the preceding finite ordinal and the induction hypothesis applies (The principle of mathematical induction). In particular, for the null graph one has α(G)=ω(G)=0\alpha(G)=\omega(G)=0; for every nonnull graph both values are at least 11.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-03Open item page →

The bounds ω(G)χ(G)\omega(G)\leq\chi(G) and V(G)χ(G)α(G)|V(G)|\leq\chi(G)\alpha(G)

Statement

For every finite simple graph G=(V,E)G=(V,E),

ω(G)χ(G),Vχ(G)α(G).\omega(G)\leq\chi(G),\qquad |V|\leq\chi(G)\alpha(G).

Both inequalities include the null graph, where all displayed quantities are 00.

Facts & Assumptions

Given: A finite simple graph G=(V,E)G=(V,E) and a proper χ(G)\chi(G)-colouring c:Vχ(G)c:V\to\chi(G).

[L1]

Adjacent vertices receive different colours, and the fibres Cj:=c1[{j}]C_j:=c^{-1}[\{j\}] are the colour classes (Proper vertex colourings and chromatic number).

[L2]

A clique has all pairs adjacent, an independent set has no adjacent pair, and ω(G)\omega(G) and α(G)\alpha(G) are the corresponding maximum cardinalities (Cliques, independent sets, clique number and independence number).

Proof

technique · direct
1.1

If KK is a clique, then [L1] makes cKc|_K injective into the χ(G)\chi(G)-element colour set, so Kχ(G)|K|\leq\chi(G); maximizing over cliques gives ω(G)χ(G)\omega(G)\leq\chi(G).

L1L2
1.2

Each colour class CjC_j is independent, since two vertices in it have the same colour and therefore cannot be adjacent by [L1]; hence Cjα(G)|C_j|\leq\alpha(G) by [L2].

L1L2
2.1

The colour classes are pairwise disjoint and have union VV, so [L3] and step 1.2 give V=jχ(G)Cjjχ(G)α(G)=χ(G)α(G)|V|=\sum_{j\in\chi(G)}|C_j|\leq\sum_{j\in\chi(G)}\alpha(G)=\chi(G)\alpha(G).

step 1.2L3
3.1

Steps 1.1 and 2.1 prove the two claimed bounds, including the empty family of colour classes when V=V=\varnothing.

step 1.1step 2.1

5 · Examples, counterexamples and false statements

None yet.

Sources