Structural Parameterizations for Equitable Coloring
Guilherme C. M. Gomes, Matheus R. Guedes, Vinicius F. dos Santos

TL;DR
This paper investigates the parameterized complexity of Equitable Coloring, providing new fixed parameter tractability results, kernelization bounds, and complexity hardness proofs for various structural graph parameters.
Contribution
It introduces FPT algorithms for distance to cluster and co-cluster, and kernelization results, while establishing hardness for combined parameters, advancing understanding of equitable coloring complexity.
Findings
FPT algorithm for distance to cluster and co-cluster
Linear kernel for distance to clique
No polynomial kernel for vertex cover and number of colors unless NP in coNP/poly
Abstract
An -vertex graph is equitably -colorable if there is a proper coloring of its vertices such that each color is used either or times. While classic Vertex Coloring is fixed parameter tractable under well established parameters such as pathwidth and feedback vertex set, Equitable Coloring is -. We present an extensive study of structural parameterizations of Equitable Coloring, tackling both tractability and kernelization questions. We begin by showing that the problem is fixed parameter tractable when parameterized by distance to cluster or by distance to co-cluster -- improving on the algorithm of Fiala et al. [Theoretical Computer Science, 2011] parameterized by vertex cover -- and also when parameterized by distance to disjoint paths of bounded length. To justify the…
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