Domatic number

Let ${\displaystyle \delta }$ be the minimum degree of the graph ${\displaystyle G}$. The domatic number of ${\displaystyle G}$ is at most ${\displaystyle \delta +1}$. To see this, consider a vertex ${\displaystyle v}$ of degree ${\displaystyle \delta }$. Let ${\displaystyle N}$ consist of ${\displaystyle v}$ and its neighbours. We know that (1) each dominating set ${\displaystyle V_{i}}$ must contain at least one vertex in ${\displaystyle N}$ (domination), and (2) each vertex in ${\displaystyle N}$ is contained in at most one dominating set ${\displaystyle V_{i}}$ (disjointness). Therefore there are at most ${\displaystyle |N|=\delta +1}$ disjoint dominating sets.

The graph in the figure has minimum degree ${\displaystyle \delta =2}$, and therefore its domatic number is at most 3. Hence we have shown that its domatic number is exactly 3; the figure shows a maximum-size domatic partition.

Weak 2-coloring

If there is no isolated vertex in the graph (that is, ${\displaystyle \delta }$ ≥ 1), then the domatic number is at least 2. To see this, note that (1) a weak 2-coloring is a domatic partition if there is no isolated vertex, and (2) any graph has a weak 2-coloring. Alternatively, (1) a maximal independent set is a dominating set, and (2) the complement of a maximal independent set is also a dominating set if there are no isolated vertices.

The figure on the right shows a weak 2-coloring, which is also a domatic partition of size 2: the dark nodes are a dominating set, and the light nodes are another dominating set (the light nodes form a maximal independent set). See weak coloring for more information.

Finding a domatic partition of size 1 is trivial: let ${\displaystyle V_{1}=V}$. Finding a domatic partition of size 2 (or determining that it does not exist) is easy: check if there are isolated nodes, and if not, find a weak 2-coloring.

However, finding a maximum-size domatic partition is computationally hard. Specifically, the following decision problem, known as the domatic number problem, is NP-complete: given a graph ${\displaystyle G}$ and an integer ${\displaystyle K}$, determine whether the domatic number of ${\displaystyle G}$ is at least ${\displaystyle K}$. Therefore the problem of determining the domatic number of a given graph is NP-hard, and the problem of finding a maximum-size domatic partition is NP-hard as well.

There is a polynomial-time approximation algorithm with a logarithmic approximation guarantee,[1] that is, it is possible to find a domatic partition whose size is within a factor ${\displaystyle O(\log |V|)}$ of the optimum.

However, under plausible complexity-theoretic assumptions, there is no polynomial-time approximation algorithm with a sub-logarithmic approximation factor.[1] More specifically, a polynomial-time approximation algorithm for domatic partition with the approximation factor ${\displaystyle (1-\epsilon )\ln |V|}$ for a constant ${\displaystyle \epsilon >0}$ would imply that all problems in NP can be solved in slightly super-polynomial time ${\displaystyle n^{O(\log \log n)}}$.

Domatic partition

Partition of vertices into disjoint dominating sets. The domatic number is the maximum number of such sets.

Vertex coloring

Partition of vertices into disjoint independent sets. The chromatic number is the minimum number of such sets.

Clique partition

Partition of vertices into disjoint cliques. Equal to vertex coloring in the complement graph.

Edge coloring

Partition of edges into disjoint matchings. The edge chromatic number is the minimum number of such sets.

Let G = (U ∪ V, E) be a bipartite graph without isolated nodes; all edges are of the form {u, v} ∈ E with u ∈ U and v ∈ V. Then {U, V} is both a vertex 2-coloring and a domatic partition of size 2; the sets U and V are independent dominating sets. The chromatic number of G is exactly 2; there is no vertex 1-coloring. The domatic number of G is at least 2. It is possible that there is a larger domatic partition; for example, the complete bipartite graph K_n,n for any n ≥ 2 has domatic number n.

• Garey, Michael R.; Johnson, David S. (1979), Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman, ISBN 0-7167-1045-5. A1.1: GT3, p. 190.
• Cockayne, E. J.; Hedetniemi, Stephen T. (1975), "Optimal domination in graphs", IEEE Transactions on Circuits and Systems, CAS-22 (11): 855–857, doi:10.1109/TCS.1975.1083994, MR 0384608.