English

Domination above r-independence: does sparseness help?

Data Structures and Algorithms 2019-06-24 v1

Abstract

Inspired by the potential of improving tractability via gap- or above-guarantee parametrisations, we investigate the complexity of Dominating Set when given a suitable lower-bound witness. Concretely, we consider being provided with a maximal r-independent set X (a set in which all vertices have pairwise distance at least r + 1) along the input graph G which, for r >= 2, lower-bounds the minimum size of any dominating set of G. In the spirit of gap-parameters, we consider a parametrisation by the size of the 'residual' set R := V (G) \ N [X]. Our work aims to answer two questions: How does the constant r affect the tractability of the problem and does the restriction to sparse graph classes help here? For the base case r = 2, we find that the problem is paraNP -complete even in apex- and bounded-degree graphs. For r = 3, the problem is W[2]-hard for general graphs but in FPT for nowhere dense classes and it admits a linear kernel for bounded expansion classes. For r >= 4, the parametrisation becomes essentially equivalent to the natural parameter, the size of the dominating set.

Keywords

Cite

@article{arxiv.1906.09180,
  title  = {Domination above r-independence: does sparseness help?},
  author = {Carl Einarson and Felix Reidl},
  journal= {arXiv preprint arXiv:1906.09180},
  year   = {2019}
}
R2 v1 2026-06-23T10:00:02.944Z