English

On Polynomial Kernelization of $\mathcal{H}$-free Edge Deletion

Data Structures and Algorithms 2014-11-19 v2

Abstract

For a set of graphs H\mathcal{H}, the \textsc{H\mathcal{H}-free Edge Deletion} problem asks to find whether there exist at most kk edges in the input graph whose deletion results in a graph without any induced copy of HHH\in\mathcal{H}. In \cite{cai1996fixed}, it is shown that the problem is fixed-parameter tractable if H\mathcal{H} is of finite cardinality. However, it is proved in \cite{cai2013incompressibility} that if H\mathcal{H} is a singleton set containing HH, for a large class of HH, there exists no polynomial kernel unless coNPNP/polycoNP\subseteq NP/poly. In this paper, we present a polynomial kernel for this problem for any fixed finite set H\mathcal{H} of connected graphs and when the input graphs are of bounded degree. We note that there are \textsc{H\mathcal{H}-free Edge Deletion} problems which remain NP-complete even for the bounded degree input graphs, for example \textsc{Triangle-free Edge Deletion}\cite{brugmann2009generating} and \textsc{Custer Edge Deletion(P3P_3-free Edge Deletion)}\cite{komusiewicz2011alternative}. When H\mathcal{H} contains K1,sK_{1,s}, we obtain a stronger result - a polynomial kernel for KtK_t-free input graphs (for any fixed t>2t> 2). We note that for s>9s>9, there is an incompressibility result for \textsc{K1,sK_{1,s}-free Edge Deletion} for general graphs \cite{cai2012polynomial}. Our result provides first polynomial kernels for \textsc{Claw-free Edge Deletion} and \textsc{Line Edge Deletion} for KtK_t-free input graphs which are NP-complete even for K4K_4-free graphs\cite{yannakakis1981edge} and were raised as open problems in \cite{cai2013incompressibility,open2013worker}.

Keywords

Cite

@article{arxiv.1407.7156,
  title  = {On Polynomial Kernelization of $\mathcal{H}$-free Edge Deletion},
  author = {N. R. Aravind and R. B. Sandeep and Naveen Sivadasan},
  journal= {arXiv preprint arXiv:1407.7156},
  year   = {2014}
}

Comments

12 pages. IPEC 2014 accepted paper

R2 v1 2026-06-22T05:14:00.217Z