English

Parameterized Algorithms for Locally Minimal Defensive Alliance

Data Structures and Algorithms 2023-03-05 v2

Abstract

A set DD of vertices of a graph is a \emph{defensive alliance} if, for each element of DD, the majority of its neighbours are in DD. We consider the notion of local minimality in this paper. We are interested in finding a locally minimal defensive alliance of maximum size. In Locally Minimal Defensive Alliance problem, given an undirected graph GG, a positive integer kk, the question is to check whether GG has a locally minimal defensive alliance of size at least kk. This problem is known to be NP-hard, but its parameterized complexity remains open until now. We enhance our understanding of the problem from the viewpoint of parameterized complexity. The main results of the paper are the following: (1) Locally Minimal Defensive Alliance restricted to the graphs of minimum degree at least 2 is fixed-parameter tractable (FPT) when parameterized by the combined parameters solution size kk, and maximum degree Δ\Delta of the input graph, (2) Locally Minimal Defensive Alliance on the graphs of minimum degree at least 2, admits a kernel with at most kkO(k)k^{k^{\mathcal{O}(k)}} vertices. In particular, the problem parameterized by kk restricted to C3C_3-free and C4C_4-free graphs of minimum degree at least 2, admits a kernel with at most kO(k)k^{\mathcal{O}(k)} vertices. Moreover, we prove that the problem on planar graphs of minimum degree at least 2, admits an FPT algorithm with running time O(k2O(k))\mathcal{O}^{*}(k^{2^{\mathcal{O}(\sqrt{k})}}). Finally, we prove that (4) Locally Minimal Defensive Alliance Extension is NP-complete.

Keywords

Cite

@article{arxiv.2208.03491,
  title  = {Parameterized Algorithms for Locally Minimal Defensive Alliance},
  author = {Ajinkya Gaikwad and Soumen Maity and Saket Saurabh},
  journal= {arXiv preprint arXiv:2208.03491},
  year   = {2023}
}

Comments

arXiv admin note: text overlap with arXiv:2105.10742

R2 v1 2026-06-25T01:32:06.101Z