English

A complexity dichotomy for Matching Cut in (bipartite) graphs of fixed diameter

Computational Complexity 2018-10-29 v2 Discrete Mathematics Data Structures and Algorithms

Abstract

In a graph, a matching cut is an edge cut that is a matching. Matching Cut is the problem of deciding whether or not a given graph has a matching cut, which is known to be NP-complete even when restricted to bipartite graphs. It has been proved that Matching Cut is polynomially solvable for graphs of diameter two. In this paper, we show that, for any fixed integer d3d\ge 3, Matching Cut is NP-complete in the class of graphs of diameter dd. This resolves an open problem posed by Borowiecki and Jesse-J\'ozefczyk in [Matching cutsets in graphs of diameter 22, Theoretical Computer Science 407 (2008) 574-582]. We then show that, for any fixed integer d4d\ge 4, Matching Cut is NP-complete even when restricted to the class of bipartite graphs of diameter dd. Complementing the hardness results, we show that Matching Cut is polynomial-time solvable in the class of bipartite graphs of diameter at most three, and point out a new and simple polynomial-time algorithm solving Matching Cut in graphs of diameter 22.

Keywords

Cite

@article{arxiv.1804.11102,
  title  = {A complexity dichotomy for Matching Cut in (bipartite) graphs of fixed diameter},
  author = {Hoang-Oanh Le and Van Bang Le},
  journal= {arXiv preprint arXiv:1804.11102},
  year   = {2018}
}

Comments

To appear in Theoretical Computer Science