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Safe sets in digraphs

Published 19 Aug 2019 in cs.CC, cs.DM, and math.CO | (1908.06664v1)

Abstract: A non-empty subset SS of the vertices of a digraph DD is called a {\it safe set} if \begin{itemize} \item[(i)] for every strongly connected component MM of DSD-S, there exists a strongly connected component NN of D[S]D[S] such that there exists an arc from MM to NN; and \item[(ii)] for every strongly connected component MM of DSD-S and every strongly connected component NN of D[S]D[S], we have MN|M|\leq |N| whenever there exists an arc from MM to NN. \end{itemize} In the case of acyclic digraphs a set XX of vertices is a safe set precisely when XX is an {\it in-dominating set}, that is, every vertex not in XX has at least one arc to XX. We prove that, even for acyclic digraphs which are traceable (have a hamiltonian path) it is NP-hard to find a minimum cardinality in-dominating set. Then we show that the problem is also NP-hard for tournaments and give, for every positive constant cc, a polynomial algorithm for finding a minimum cardinality safe set in a tournament on nn vertices in which no strong component has size more than clog(n)c\log{}(n). Under the so called Exponential Time Hypothesis (ETH) this is close to best possible in the following sense: If ETH holds, then, for every $\epsilon&gt;0$ there is no polynomial time algorithm for finding a minimum cardinality safe set for the class of tournaments in which the largest strong component has size at most log<sup>1+ϵ(n)\log<sup>{1+\epsilon}(n). We also discuss bounds on the cardinality of safe sets in tournaments.

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