English

On algorithmic applications of sim-width and mim-width of $(H_1, H_2)$-free graphs

Data Structures and Algorithms 2025-04-23 v2 Discrete Mathematics Combinatorics

Abstract

Mim-width and sim-width are among the most powerful graph width parameters, with sim-width more powerful than mim-width, which is in turn more powerful than clique-width. While several NP\mathsf{NP}-hard graph problems become tractable for graph classes whose mim-width is bounded and quickly computable, no algorithmic applications of boundedness of sim-width are known. In [Kang et al., A width parameter useful for chordal and co-comparability graphs, Theoretical Computer Science, 704:1-17, 2017], it is asked whether \textsc{Independent Set} and \textsc{33-Colouring} are NP\mathsf{NP}-complete on graphs of sim-width at most 11. We observe that, for each kNk \in \mathbb{N}, \textsc{List kk-Colouring} is polynomial-time solvable for graph classes whose sim-width is bounded and quickly computable. Moreover, we show that if the same holds for \textsc{Independent Set}, then \textsc{Independent H\mathcal{H}-Packing} is polynomial-time solvable for graph classes whose sim-width is bounded and quickly computable. This problem is a common generalisation of \textsc{Independent Set}, \textsc{Induced Matching}, \textsc{Dissociation Set} and \textsc{kk-Separator}. We also make progress toward classifying the mim-width of (H1,H2)(H_1,H_2)-free graphs in the case H1H_1 is complete or edgeless. Our results solve some open problems in [Brettell et al., Bounding the mim-width of hereditary graph classes, Journal of Graph Theory, 99(1):117-151, 2022].

Keywords

Cite

@article{arxiv.2205.15160,
  title  = {On algorithmic applications of sim-width and mim-width of $(H_1, H_2)$-free graphs},
  author = {Andrea Munaro and Shizhou Yang},
  journal= {arXiv preprint arXiv:2205.15160},
  year   = {2025}
}