Robust Contraction Decomposition for Minor-Free Graphs and its Applications
Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, D\'aniel Marx,, Pranabendu Misra, Daniel Neuen, Saket Saurabh, Prafullkumar Tale, Jie Xue

TL;DR
This paper proves a robust contraction decomposition theorem for $H$-minor-free graphs, enabling new subexponential-time parameterized algorithms for various deletion problems, significantly advancing algorithmic graph theory.
Contribution
It introduces a novel robust contraction decomposition theorem for $H$-minor-free graphs, generalizing previous results and simplifying algorithms for complex graph problems.
Findings
Enables subexponential algorithms for multiple deletion problems.
Generalizes earlier contraction decomposition results.
Simplifies existing algorithms with similar running times.
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.…
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