Kernelization dichotomies for hitting minors under structural parameterizations
Marin Bougeret, Eric Brandwein, Ignasi Sau

TL;DR
This paper establishes a comprehensive classification of when polynomial kernels exist for the -MINOR-DELETION problem under various structural parameterizations, extending previous results and introducing new dichotomies based on graph minor properties.
Contribution
It provides the first complete set of kernelization dichotomies for -MINOR-DELETION parameterized by vertex-deletion distance to graph classes, including new results for planar and bounded treewidth graphs.
Findings
Exact polynomial kernels for -MINOR-DELETION when contains a planar graph.
An approximate polynomial kernel for PLANAR VERTEX DELETION.
Dichotomies for various vertex deletion problems like CACTUS, OUTERPLANAR, and TREEWIDTH-t.
Abstract
For a finite collection of connected graphs , the -MINOR-DELETION problem consists in, given a graph and an integer , deciding whether contains a vertex set of size at most whose removal results in an -minor-free graph. We lift the existence of (approximate) polynomial kernels for -MINOR-DELETION by the solution size to (approximate) polynomial kernels parameterized by the vertex-deletion distance to graphs of bounded elimination distance to -minor-free graphs. This results in exact polynomial kernels for every family that contains a planar graph, and an approximate polynomial kernel for PLANAR VERTEX DELETION. Moreover, combining our result with a previous lower bound, we obtain the following infinite set of dichotomies, assuming : for any finite set…
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