English

Safe sets in digraphs

Computational Complexity 2019-08-20 v1 Discrete Mathematics Combinatorics

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 ϵ>0\epsilon>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 log1+ϵ(n)\log^{1+\epsilon}(n). We also discuss bounds on the cardinality of safe sets in tournaments.

Keywords

Cite

@article{arxiv.1908.06664,
  title  = {Safe sets in digraphs},
  author = {Yandong Bai and Jørgen Bang-Jensen and Shinya Fujita and Anders Yeo},
  journal= {arXiv preprint arXiv:1908.06664},
  year   = {2019}
}