Abstract

For digraphs D and H, a mapping f : V ( D ) → V ( H ) is a homomorphism of D to H if uv ∈ A ( D ) implies f ( u ) f ( v ) ∈ A ( H ) . Let H be a fixed directed or undirected graph. The homomorphism problem for H asks whether a directed or undirected input graph D admits a homomorphism to H . The list homomorphism problem for H is a generalization of the homomorphism problem for H, where every vertex x ∈ V ( D ) is assigned a set L x of possible colors (vertices of H). The following optimization version of these decision problems generalizes the list homomorphism problem and was introduced in Gutin et al. [Level of repair analysis and minimum cost homomorphisms of graphs, Discrete Appl. Math., to appear], where it was motivated by a real-world problem in defence logistics. Suppose we are given a pair of digraphs D , H and a positive integral cost c i ( u ) for each u ∈ V ( D ) and i ∈ V ( H ) . The cost of a homomorphism f of D to H is ∑ u ∈ V ( D ) c f ( u ) ( u ) . For a fixed digraph H, the minimum cost homomorphism problem for H is stated as follows: for an input digraph D and costs c i ( u ) for each u ∈ V ( D ) and i ∈ V ( H ) , verify whether there is a homomorphism of D to H and, if one exists, find such a homomorphism of minimum cost. We obtain dichotomy classifications of the computational complexity of the list homomorphism and minimum cost homomorphism problems, when H is a semicomplete digraph (digraph in which there is at least one arc between any two vertices). Our dichotomy for the list homomorphism problem coincides with the one obtained by Bang-Jensen, Hell and MacGillivray in 1988 for the homomorphism problem when H is a semicomplete digraph: both problems are polynomial solvable if H has at most one cycle; otherwise, both problems are NP-complete. The dichotomy for the minimum cost homomorphism problem is different: the problem is polynomial time solvable if H is acyclic or H is a cycle of length 2 or 3; otherwise, the problem is NP-hard.

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