Perfectly Matched Sets in Graphs: Parameterized and Exact Computation
Abstract
In an undirected graph , we say is a pair of perfectly matched sets if and are disjoint subsets of and every vertex in (resp. ) has exactly one neighbor in (resp. ). The size of a pair of perfectly matched sets is . The PERFECTLY MATCHED SETS problem is to decide whether a given graph has a pair of perfectly matched sets of size . We show that PMS is -hard when parameterized by solution size even when restricted to split graphs and bipartite graphs. We observe that PMS is FPT when parameterized by clique-width, and give FPT algorithms with respect to the parameters distance to cluster, distance to co-cluster and treewidth. Complementing FPT results, we show that PMS does not admit a polynomial kernel when parameterized by vertex cover number unless . We also provide an exact exponential algorithm running in time . Finally, considering graphs with structural assumptions, we show that PMS remains -hard on planar graphs.
Cite
@article{arxiv.2107.08584,
title = {Perfectly Matched Sets in Graphs: Parameterized and Exact Computation},
author = {N. R. Aravind and Roopam Saxena},
journal= {arXiv preprint arXiv:2107.08584},
year = {2022}
}