Kernelization for Graph Packing Problems via Rainbow Matching
St\'ephane Bessy, Marin Bougeret, Dimitrios M. Thilikos, Sebastian, Wiederrecht

TL;DR
This paper introduces the rainbow matching technique, a new kernelization tool, to develop nearly linear and linear kernels for various graph packing and hitting problems, improving previous polynomial bounds.
Contribution
The paper presents the rainbow matching technique for kernelization, achieving almost linear and linear kernels for four graph packing and hitting problems, advancing beyond prior polynomial bounds.
Findings
TPT and FVST admit kernels of size $k^{1+O(1)/\sqrt{\log k}}$
IPP and IPHS admit kernels of size $O(k)$
First sub-quadratic kernels for these problems
Abstract
We introduce a new kernelization tool, called rainbow matching technique}, that is appropriate for the design of polynomial kernels for packing problems and their hitting counterparts. Our technique capitalizes on the powerful combinatorial results of [Graf, Harris, Haxell, SODA 2021]. We apply the rainbow matching technique on four (di)graph packing or hitting problems, namely the Triangle-Packing in Tournament problem (TPT), where we ask for a packing of directed triangles in a tournament, Directed Feedback Vertex Set in Tournament problem (FVST), where we ask for a (hitting) set of at most vertices which intersects all triangles of a tournament, the Induced 2-Path-Packing (IPP) where we ask for a packing of induced paths of length two in a graph and Induced 2-Path Hitting Set problem (IPHS), where we ask for a (hitting) set of at most vertices which intersects all…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Optimization and Packing Problems
