Robust Contraction Decomposition for Minor-Free Graphs and its Applications
Abstract
We prove a robust contraction decomposition theorem for -minor-free graphs, which states that given an -minor-free graph and an integer , one can partition in polynomial time the vertices of into sets such that for all and . Here, denotes the treewidth of a graph and denotes the graph obtained from by contracting all edges with both endpoints in . Our result generalizes earlier results by Klein [SICOMP 2008] and Demaine et al. [STOC 2011] based on partitioning , and some recent theorems for planar graphs by Marx et al. [SODA 2022], for bounded-genus graphs (more generally, almost-embeddable graphs) by Bandyapadhyay et al. [SODA 2022], and for unit-disk graphs by Bandyapadhyay et al. [SoCG 2022]. The robust contraction decomposition theorem directly results in parameterized algorithms with running time or for every vertex/edge deletion problems on -minor-free graphs that can be formulated as Permutation CSP Deletion or 2-Conn Permutation CSP Deletion. Consequently, we obtain the first subexponential-time parameterized algorithms for Subset Feedback Vertex Set, Subset Odd Cycle Transversal, Subset Group Feedback Vertex Set, 2-Conn Component Order Connectivity on -minor-free graphs. For other problems which already have subexponential-time parameterized algorithms on -minor-free graphs (e.g., Odd Cycle Transversal, Vertex Multiway Cut, Vertex Multicut, etc.), our theorem gives much simpler algorithms of the same running time.
Cite
@article{arxiv.2412.04145,
title = {Robust Contraction Decomposition for Minor-Free Graphs and its Applications},
author = {Sayan Bandyapadhyay and William Lochet and Daniel Lokshtanov and Dániel Marx and Pranabendu Misra and Daniel Neuen and Saket Saurabh and Prafullkumar Tale and Jie Xue},
journal= {arXiv preprint arXiv:2412.04145},
year = {2024}
}
Comments
50 pages, 2 figures