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 H-graphs, for any fixed multigraph H. In particular, we research how the parameterized complexity differs between two subclasses of H-graphs: proper H-graphs and non-crossing H-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 H-graphs, for any (simple) forest H, by showing that for such H, the class of H-graphs is delineated. This implies that for every hereditary subclass D of H-graphs, FO Model Checking is in FPT if D 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 H-graphs for certain forests H like the claw. In contrast, we show that even for every multigraph H, non-crossing H-graphs have bounded proper mixed-thinness and hence bounded twin-width, and thus FO Model Checking is in FPT on non-crossing H-graphs when parameterized by H +, where H is the size of H and is the size of a formula. It is known that a special case of FO Model Checking, Independent Set, is W[1]-hard on H-graphs when parameterized by H +k, where k is the size of a solution. We strengthen this W[1]-hardness result to proper H-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 H-graphs than for proper H-graphs.
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