Classes of Graphs With Sub-linear Twin-width

Taite LaGrange, University of Waterloo

Twin-width is a graph and matrix parameter introduced in 2021 by Bonnet, Kim, Thomassé, and Watrigant as essentially a measure of the ’error’ between vertex neighbourhoods over a series of vertex contractions. This talk covers some graph classes with unbounded twin-width. We present a tool for obtaining twin-width bounds in general by contracting a graph based on a partition by distinct neighbourhoods. For a graph G on n vertices, we show that if such a partition exists, then the twin-width of G is at worst sub-linear with respect to n. We use this to obtain an upper bound on the twin-width of interval graphs and of graphs with bounded VC dimension. The latter implies that hereditary classes have sub-linear twin-width if and only if they have bounded VC dimension. This is joint work with Therese Biedl and Sophie Spirkl.