For a finite graph , its chromatic polynomial is the polynomial whose value at each positive integer counts proper vertex colourings of from a fixed palette of labelled colours. Adjacent vertices must receive different colours, and unused colours are allowed.
For an edge , the deletion-contraction recurrence for the chromatic polynomial is
Here deletes only the edge , while performs edge contraction, identifying and removing . Any parallel edges produced by edge contraction can be replaced by a single edge, since their constraints on proper vertex colourings are identical.
Indeed, the proper vertex colourings of in which differ are precisely those of , while those in which agree correspond bijectively to proper vertex colourings of . This proves the equality for every positive integer , hence as a polynomial identity. Together with for a graph without edges, the recurrence also proves by mathematical induction that the counting function is a polynomial.
Let the nonempty connected components of a graph of be . A proper vertex colouring can be chosen separately on each connected component of a graph, since no edge joins different connected components of a graph. The multiplication principle gives, first at positive integers and then as a polynomial identity,
It remains to justify that every factor has zero constant term. More generally, for every nonempty simple graph , prove by mathematical induction on the number of edges. If there are no edges, then with . Otherwise choose an edge . Both and the simplified edge contraction are nonempty graphs with fewer edges. The deletion-contraction recurrence for the chromatic polynomial and mathematical induction give
Thus for a polynomial , and
For the empty graph, and , so the conclusion also holds. This is the chromatic polynomial product over components.
Write and . For , let denote the number of connected components of a graph of the spanning subgraph , including isolated vertices. The inclusion-exclusion principle, applied to the unwanted events that the two endpoints of an edge receive the same colour, gives the chromatic polynomial inclusion-exclusion formula
To justify the exponent, imposing equal colours across all edges in forces a single colour on each connected component of a graph of , with independent choices between its connected components of a graph. Thus the corresponding count at colours is . Equality for all positive integers proves the polynomial identity.
Fix an index in the stated range. A subset contributes to the coefficient of exactly when . If contains a graph cycle of length , the hypothesis gives . All its vertices lie in one connected component of a graph. For any connected component of a graph , its contribution to is , so
This contradicts . Therefore every contributing is a forest. The forest identity then gives .
Conversely, every -edge subset is a forest, since a graph cycle in it would have at most edges. It therefore has and contributes exactly . There are such subsets, by the definition of a binomial coefficient. Consequently
Here the coefficient notation is understood within the defined indices ; if the displayed range is extended past , the coefficients beyond the constant term can be set to zero. For a forest, , so the binomial coefficients there are also zero. The key reason girth determines initial chromatic coefficients is that a graph cycle can affect only exponents whose loss of connected components of a graph is at least .
First reduce the unicyclic graph to its unique graph cycle . Delete the edges of but retain every vertex. The remaining graph is a forest, since any surviving graph cycle would be a second one in . Each of its connected components of a graph contains a vertex of : follow a graph path to in the original connected graph, stopping at the first vertex of ; this initial segment uses no edge of .
No such connected component of a graph contains two vertices of . Otherwise, on the tree graph path between them, choose two successive visits to . The segment between these visits has no internal vertex on and uses no edge of . Combining it with either connecting arc of gives a second graph cycle, a contradiction. Thus the remaining graph consists of trees, each rooted at exactly one vertex of .
After choosing a proper vertex colouring of from colours, colour these rooted trees away from their roots. Each of the off-graph cycle vertices has one already coloured parent in a rooted tree, leaving exactly choices. The multiplication principle therefore gives
Equivalently, this repeatedly applies the chromatic polynomial after attaching a leaf formula.
To compute the chromatic polynomial of a cycle, the base case is the graph triangle:
For , deleting a cycle graph edge gives a path graph on vertices, while edge contraction gives . The chromatic polynomial of that path graph is , by choosing the colour of its first vertex and then each successive vertex. Hence the deletion-contraction recurrence for the chromatic polynomial gives
Using mathematical induction, substitute to obtain
Multiplying by the factor for the attached trees proves the chromatic polynomial of a unicyclic graph formula

Articles by others on the same topic (0)

There are currently no matching articles.