Complexity of the list homomorphism problem in hereditary graph classes
Karolina Okrasa, Pawe{\l} Rz\k{a}\.zewski

TL;DR
This paper investigates the computational complexity of list homomorphism problems in hereditary graph classes, providing full dichotomies for specific cases and identifying conditions under which these problems are solvable in subexponential time.
Contribution
It establishes complexity classifications and dichotomies for list homomorphism problems in graphs excluding certain induced subgraphs, extending previous results and introducing the concept of predacious graphs.
Findings
LHom(H) is polynomial for bi-arc-graphs, NP-complete otherwise.
Full dichotomy for F being a path, based on predacious graphs.
Subexponential algorithms exist for non-predacious H in P_t-free graphs.
Abstract
A homomorphism from a graph to a graph is an edge-preserving mapping from to . For a fixed graph , in the list homomorphism problem, denoted by LHom(), we are given a graph , whose every vertex is equipped with a list . We ask if there exists a homomorphism from to , in which for every . Feder, Hell, and Huang [JGT~2003] proved that LHom() is polynomial time-solvable if is a bi-arc-graph, and NP-complete otherwise. We are interested in the complexity of the LHom() problem in graphs excluding a copy of some fixed graph as an induced subgraph. It is known that if is connected and is not a path nor a subdivided claw, then for every non-bi-arc graph the LHom() problem is NP-complete and cannot be solved in subexponential time, unless the ETH fails. We consider the remaining…
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