Weakly-sparse and strongly flip-flat classes of graphs are uniformly almost-wide
Fatemeh Ghasemi, Julien Grange, Mamadou Moustapha Kanté, Florent Madelaine
TL;DR
The paper investigates the relationship between two graph-class properties—weak sparsity and strong flip-flatness—and a sparsity-variance notion called uniformly almost-wide. It proves that a hereditary graph class that is both weakly sparse and strongly flip-flat is exactly uniformly almost-wide, using a combinatorial framework built on flips, a key lemma relating flips to small separators, and Ramsey-type arguments, complemented by transduction-closure properties. The work also shows that FO-transductions preserve strong flip-flatness and connects these results to structurally bounded expansion, yielding corollaries that align with known characterisations of nowhere denseness and related sparsity hierarchies. By bridging flip-flatness with uniform wideness, the authors contribute toward a broader conjecture that monadically stable classes correspond to structurally nowhere dense classes, with implications for FO-model checking. The findings extend our understanding of how dense graph classes can be tamed via controlled flips and transductions, and they corroborate related recent results in the literature.
Abstract
In this work we take a step towards characterising strongly flip-flat classes of graphs. Strong flip-flatness appears to be the analogue of uniform almost-wideness in the setting of dense classes of graphs. We prove that strongly flip-flat classes of graphs that are weakly sparse are indeed uniformly almost-wide.
