English

On Kernelization for Edge Dominating Set under Structural Parameters

Data Structures and Algorithms 2019-01-14 v1 Computational Complexity

Abstract

In the NP-hard Edge Dominating Set problem (EDS) we are given a graph G=(V,E)G=(V,E) and an integer kk, and need to determine whether there is a set FEF\subseteq E of at most kk edges that are incident with all (other) edges of GG. It is known that this problem is fixed-parameter tractable and admits a polynomial kernel when parameterized by kk. A caveat for this parameter is that it needs to be large, i.e., at least equal to half the size of a maximum matching of GG, for instances not to be trivially negative. Motivated by this, we study the existence of polynomial kernels for EDS when parameterized by structural parameters that may be much smaller than kk. Unfortunately, at first glance this looks rather hopeless: Even when parameterized by the deletion distance to a disjoint union of paths P3P_3 of length two there is no polynomial kernelization (under standard assumptions), ruling out polynomial kernels for many smaller parameters like the feedback vertex set size. In contrast, somewhat surprisingly, there is a polynomial kernelization for deletion distance to a disjoint union of paths P5P_5 of length four. As our main result, we fully classify for all finite sets H\mathcal{H} of graphs, whether a kernel size polynomial in X|X| is possible when given XX such that each connected component of GXG-X is isomorphic to a graph in H\mathcal{H}.

Keywords

Cite

@article{arxiv.1901.03582,
  title  = {On Kernelization for Edge Dominating Set under Structural Parameters},
  author = {Eva-Maria C. Hols and Stefan Kratsch},
  journal= {arXiv preprint arXiv:1901.03582},
  year   = {2019}
}