Non-crossing $H$-graphs: a generalization of proper interval graphs admitting FPT algorithms
Abstract
We prove new parameterized complexity results for the FO Model Checking problem on a well-known generalization of interval and circular-arc graphs: the class of -graphs, for any fixed multigraph . In particular, we research how the parameterized complexity differs between two subclasses of -graphs: proper -graphs and non-crossing -graphs, each generalizing proper interval graphs and proper circular-arc graphs. We first generalize a known result of Bonnet et al. (IPEC 2022) from interval graphs to -graphs, for any (simple) forest , by showing that for such , the class of -graphs is delineated. This implies that for every hereditary subclass of -graphs, FO Model Checking is in FPT if has bounded twin-width and AW[]-hard otherwise. As proper claw-graphs have unbounded twin-width, this means that FO Model Checking is AW[]-hard for proper -graphs for certain forests like the claw. In contrast, we show that even for every multigraph , non-crossing -graphs have bounded proper mixed-thinness and hence bounded twin-width, and thus FO Model Checking is in FPT on non-crossing -graphs when parameterized by , where is the size of and is the size of a formula. It is known that a special case of FO Model Checking, Independent Set, is -hard on -graphs when parameterized by , where is the size of a solution. We strengthen this -hardness result to proper -graphs. Hence, we solve, in two different ways, an open problem of Chaplick (Discrete Math. 2023), who asked about problems that can be solved faster for non-crossing -graphs than for proper -graphs.
Cite
@article{arxiv.2501.11192,
title = {Non-crossing $H$-graphs: a generalization of proper interval graphs admitting FPT algorithms},
author = {Flavia Bonomo-Braberman and Nick Brettell and Noleen Köhler and Andrea Munaro and Daniël Paulusma},
journal= {arXiv preprint arXiv:2501.11192},
year = {2025}
}