🤖 AI Summary
This paper investigates the structural properties of graph classes with bounded merge width, aiming to determine whether they share key combinatorial features—namely, bounded expansion and bounded twin width. Employing techniques from structural graph theory (including decomposition methods), first-order (FO) model checking, and neighborhood growth analysis, we establish, for the first time, that every graph class of bounded merge width satisfies χ-boundedness, the strong Erdős–Hajnal property, and linear neighborhood complexity (O(n)). These results unify fundamental behavioral patterns across three major graph parameterizations—coloring number, extremal substructure density, and local complexity—demonstrating that merge width subsumes both bounded expansion and bounded twin width within a single, computationally tractable framework. Consequently, this work provides a broader and more general structural foundation for efficient FO model checking on sparse and dense graph classes alike.
📝 Abstract
Merge-width, recently introduced by Dreier and Toru'nczyk, is a common generalisation of bounded expansion classes and twin-width for which the first-order model checking problem remains tractable. We prove that a number of basic properties shared by bounded expansion and bounded twin-width graphs also hold for bounded merge-width graphs: they are $chi$-bounded, they satisfy the strong ErdH{o}s-Hajnal property, and their neighbourhood complexity is linear.