Parameterized complexity of -Hop, -Step, and -Hop Roman Domination
arXiv:2603.00692
Abstract
The \textsc{Dominating Set} problem is a classical and extensively studied topic in graph theory and theoretical computer science. In this paper, we examine the algorithmic complexity of several well-known exact-distance variants of domination, namely \textsc{-Step Domination}, \textsc{-Hop Domination}, and \textsc{-Hop Roman Domination}. Let be a graph and let be an integer. A set is an \emph{-hop dominating set} if every vertex in is at distance exactly from some vertex of . Similarly, is an \emph{-step dominating set} if every vertex of lies at distance exactly from at least one vertex of . An \emph{-hop Roman dominating function} on is a function such that for every vertex with , there exists a vertex at distance exactly from with . The \emph{weight} of is defined as . The \textsc{-Hop Domination} (respectively, \textsc{-Step Domination}) problem asks whether admits an -hop dominating set (respectively, -step dominating set) of size at most , while the \textsc{-Hop Roman Domination} problem asks whether admits an -hop Roman dominating function of weight at most . It is known that for every , the problems \textsc{-Step Domination}, \textsc{-Hop Domination}, and \textsc{-Hop Roman Domination} are \textsc{NP}-complete. First we prove that for all , \textsc{-Hop Roman Domination} is \textsc{W[2]}-complete. Furthermore, for every , \textsc{-Step Domination} and \textsc{-Hop Domination} remain \textsc{W[2]}-hard even when restricted to bipartite graphs and chordal graphs. Unless the ETH fails, none of these problems admits an algorithm running in time on graphs with vertices and edges.