Twin-Width Meets Feedback Edges and Vertex Integrity
Jakub Balabán, Robert Ganian, Mathis Rocton
TL;DR
The paper advances the understanding of fixed-parameter approximability for twin-width by tying it to stronger graph parameters: the feedback edge number $k$ and vertex integrity $p$. It proves a tight square-root bound $tww(G)=\mathcal{O}(\sqrt{k})$ (with matching lower bounds), and delivers a significantly improved FP-approximation for twin-width parameterized by $k$ that reduces instances to size $\mathcal{O}(k^2)$ and computes a contraction sequence of width at most $tww(G)+1$ in time $2^{\mathcal{O}(k^2\log k)}$; it also presents a fixed-parameter $2$-approximation algorithm parameterized by $p$, via a bounded-reduction of twin-blocks and a provably effective extension from the reduced graph to the original. The approach refines prior work and introduces the tidy $(H,\mathcal{P})$-graph framework to streamline kernelization and sequence extension, offering concrete structural handles and kernel bounds. Overall, the results sharpen the boundary between tractable and intractable regimes for approximating twin-width and open pathways for fixed-parameter strategies in related width parameters.
Abstract
The approximate computation of twin-width has attracted significant attention already since the moment the parameter was introduced. A recently proposed approach (STACS 2024) towards obtaining a better understanding of this question is to consider the approximability of twin-width via fixed-parameter algorithms whose running time depends not on twin-width itself, but rather on parameters which impose stronger restrictions on the input graph. The first step that article made in this direction is to establish the fixed-parameter approximability of twin-width (with an additive error of 1) when the runtime parameter is the feedback edge number. Here, we make several new steps in this research direction and obtain: - An asymptotically tight bound between twin-width and the feedback edge number; - A significantly improved fixed-parameter approximation algorithm for twin-width under the same runtime parameter (i.e., the feedback edge number) which circumvents many of the technicalities of the original result and simultaneously avoids its formerly non-elementary runtime dependency; - An entirely new fixed-parameter approximation algorithm for twin-width when the runtime parameter is the vertex integrity of the graph.
