English

Robust Contraction Decomposition for Minor-Free Graphs and its Applications

Data Structures and Algorithms 2024-12-06 v1 Discrete Mathematics Combinatorics

Abstract

We prove a robust contraction decomposition theorem for HH-minor-free graphs, which states that given an HH-minor-free graph GG and an integer pp, one can partition in polynomial time the vertices of GG into pp sets Z1,,ZpZ_1,\dots,Z_p such that tw(G/(ZiZ))=O(p+Z)\operatorname{tw}(G/(Z_i \setminus Z')) = O(p + |Z'|) for all i[p]i \in [p] and ZZiZ' \subseteq Z_i. Here, tw()\operatorname{tw}(\cdot) denotes the treewidth of a graph and G/(ZiZ)G/(Z_i \setminus Z') denotes the graph obtained from GG by contracting all edges with both endpoints in ZiZZ_i \setminus Z'. Our result generalizes earlier results by Klein [SICOMP 2008] and Demaine et al. [STOC 2011] based on partitioning E(G)E(G), 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 2O~(k)nO(1)2^{\widetilde{O}(\sqrt{k})} \cdot n^{O(1)} or nO(k)n^{O(\sqrt{k})} for every vertex/edge deletion problems on HH-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 HH-minor-free graphs. For other problems which already have subexponential-time parameterized algorithms on HH-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.

Keywords

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

R2 v1 2026-06-28T20:24:11.724Z