Restricted CSPs and F-free Digraph Algorithmics

Abstract

In recent years, much attention has been placed on the complexity of graph homomorphism problems when the input is restricted to Pk-free and Pk-subgraph-free graphs. We consider the directed version of this research line, by addressing the questions, is it true that digraph homomorphism problems CSP( H) have a P versus NP-complete dichotomy when the input is restricted to Pk-free (resp.\ Pk-subgraph-free) digraphs? Our main contribution in this direction shows that if CSP( H) is NP-complete, then there is a positive integer N such that CSP( H) remains NP-hard even for PN-subgraph-free digraphs. Moreover, it remains NP-hard for acyclic PN-subgraph-free digraphs, and becomes polynomial-time solvable for PN-1-subgraph-free acyclic digraphs. We then verify the questions above for digraphs on three vertices and a family of smooth tournaments. We prove these results by establishing a connection between F-(subgraph)-free algorithmics and constraint satisfaction theory. On the way, we introduce restricted CSPs, i.e., problems of the form CSP( H) restricted to yes-instances of CSP( H') -- these were called restricted homomorphism problems by Hell and Nesetril. Another main result of this paper presents a P versus NP-complete dichotomy for these problems. Moreover, this complexity dichotomy is accompanied by an algebraic dichotomy in the spirit of the finite domain CSP dichotomy.

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