Preprocessing vertex-deletion problems: Characterizing graph properties by low-rank adjacencies

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摘要

We consider the Π-free Deletion problem parameterized by the size of a vertex cover, for a range of graph properties Π. Given an input graph G, this problem asks whether there is a subset of at most k vertices whose removal ensures the resulting graph does not contain a graph from Π as an induced subgraph. We introduce the concept of characterizing a graph property Π by low-rank adjacencies, and use it as the cornerstone of a general kernelization theorem for Π-Free Deletion parameterized by the size of a vertex cover. The resulting framework captures problems such as AT-Free Deletion, Wheel-free Deletion, and Interval Deletion. Moreover, our new framework shows that the vertex-deletion problem to perfect graphs has a polynomial kernel when parameterized by vertex cover, thereby resolving an open question by Fomin et al. (2014) [18].

论文关键词:Kernelization,Vertex-deletion,Graph modification,Structural parameterization

论文评审过程:Received 13 January 2021, Revised 28 July 2021, Accepted 20 December 2021, Available online 3 January 2022, Version of Record 7 January 2022.

论文官网地址:https://doi.org/10.1016/j.jcss.2021.12.003