Graph Coloring #
This module defines colorings of simple graphs (also known as proper colorings in the literature). A graph coloring is the attribution of "colors" to all of its vertices such that adjacent vertices have different colors. A coloring can be represented as a homomorphism into a complete graph, whose vertices represent the colors.
Main definitions #
G.Coloring α
is the type ofα
-colorings of a simple graphG
, withα
being the set of available colors. The type is defined to be homomorphisms fromG
into the complete graph onα
, and colorings have a coercion toV → α
.G.Colorable n
is the proposition thatG
isn
-colorable, which is whether there exists a coloring with at most n colors.G.chromaticNumber
is the minimaln
such thatG
isn
-colorable, or⊤
if it cannot be colored with finitely many colors. (Cardinal-valued chromatic numbers are more niche, so we stick toℕ∞
.) We writeG.chromaticNumber ≠ ⊤
to mean a graph is colorable with finitely many colors.C.colorClass c
is the set of vertices colored byc : α
in the coloringC : G.Coloring α
.C.colorClasses
is the set containing all color classes.
TODO #
Gather material from:
Trees
Planar graphs
Chromatic polynomials
develop API for partial colorings, likely as colorings of subgraphs (
H.coe.Coloring α
)
An α
-coloring of a simple graph G
is a homomorphism of G
into the complete graph on α
.
This is also known as a proper coloring.
Instances For
Construct a term of SimpleGraph.Coloring
using a function that
assigns vertices to colors and a proof that it is as proper coloring.
(Note: this is a definitionally the constructor for SimpleGraph.Hom
,
but with a syntactically better proper coloring hypothesis.)
Equations
- SimpleGraph.Coloring.mk color valid = { toFun := color, map_rel' := valid }
Instances For
The color class of a given color.
Instances For
The set containing all color classes.
Equations
- C.colorClasses = (Setoid.ker ⇑C).classes
Instances For
Equations
- SimpleGraph.instFintypeColoring = id (Fintype.ofInjective (fun (f : G.Adj →r ⊤.Adj) => ⇑f) ⋯)
Whether a graph can be colored by at most n
colors.
Instances For
The coloring of an empty graph.
Equations
- G.coloringOfIsEmpty = SimpleGraph.Coloring.mk (fun (a : V) => isEmptyElim a) ⋯
Instances For
The "tautological" coloring of a graph, using the vertices of the graph as colors.
Equations
- G.selfColoring = SimpleGraph.Coloring.mk id ⋯
Instances For
The chromatic number of a graph is the minimal number of colors needed to color it.
This is ⊤
(infinity) iff G
isn't colorable with finitely many colors.
If G
is colorable, then ENat.toNat G.chromaticNumber
is the ℕ
-valued chromatic number.
Instances For
Given an embedding, there is an induced embedding of colorings.
Equations
- G.recolorOfEmbedding f = { toFun := fun (C : G.Coloring α) => (SimpleGraph.Embedding.completeGraph f).toHom.comp C, inj' := ⋯ }
Instances For
Given an equivalence, there is an induced equivalence between colorings.
Equations
- G.recolorOfEquiv f = { toFun := ⇑(G.recolorOfEmbedding f.toEmbedding), invFun := ⇑(G.recolorOfEmbedding f.symm.toEmbedding), left_inv := ⋯, right_inv := ⋯ }
Instances For
There is a noncomputable embedding of α
-colorings to β
-colorings if
β
has at least as large a cardinality as α
.
Equations
- G.recolorOfCardLE hn = G.recolorOfEmbedding ⋯.some
Instances For
Noncomputably get a coloring from colorability.
Equations
- hc.toColoring hn = (G.recolorOfCardLE ⋯) (Nonempty.some hc)
Instances For
The bicoloring of a complete bipartite graph using whether a vertex is on the left or on the right.
Equations
- SimpleGraph.CompleteBipartiteGraph.bicoloring V W = SimpleGraph.Coloring.mk (fun (v : V ⊕ W) => v.isRight) ⋯