Kernelization and approximation of distance-$r$ independent sets on nowhere dense graphs
Discrete Mathematics
2020-12-25 v2
Abstract
For a positive integer , a distance- independent set in an undirected graph is a set of vertices pairwise at distance greater than , while a distance- dominating set is a set such that every vertex of the graph is within distance at most from a vertex from . We study the duality between the maximum size of a distance- independent set and the minimum size of a distance- dominating set in nowhere dense graph classes, as well as the kernelization complexity of the distance- independent set problem on these graph classes. Specifically, we prove that the distance- independent set problem admits an almost linear kernel on every nowhere dense graph class.
Keywords
Cite
@article{arxiv.1809.05675,
title = {Kernelization and approximation of distance-$r$ independent sets on nowhere dense graphs},
author = {Michał Pilipczuk and Sebastian Siebertz},
journal= {arXiv preprint arXiv:1809.05675},
year = {2020}
}