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On the Parameterised Complexity of Induced Multipartite Graph Parameters

Computational Complexity 2023-05-05 v2 Discrete Mathematics Data Structures and Algorithms Combinatorics

Abstract

We introduce a family of graph parameters, called induced multipartite graph parameters, and study their computational complexity. First, we consider the following decision problem: an instance is an induced multipartite graph parameter pp and a given graph GG, and for natural numbers k2k\geq2 and \ell, we must decide whether the maximum value of pp over all induced kk-partite subgraphs of GG is at most \ell. We prove that this problem is W[1]-hard. Next, we consider a variant of this problem, where we must decide whether the given graph GG contains a sufficiently large induced kk-partite subgraph HH such that p(H)p(H)\leq\ell. We show that for certain parameters this problem is para-NP-hard, while for others it is fixed-parameter tractable.

Keywords

Cite

@article{arxiv.2004.09938,
  title  = {On the Parameterised Complexity of Induced Multipartite Graph Parameters},
  author = {Ryan L. Mann and Luke Mathieson and Catherine Greenhill},
  journal= {arXiv preprint arXiv:2004.09938},
  year   = {2023}
}

Comments

8 pages, 0 figures

R2 v1 2026-06-23T14:59:40.056Z