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  • 标题:Preprocessing Vertex-Deletion Problems: Characterizing Graph Properties by Low-Rank Adjacencies
  • 本地全文:下载
  • 作者:Bart M. P. Jansen ; Jari J. H. de Kroon
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:162
  • 页码:27:1-27:15
  • DOI:10.4230/LIPIcs.SWAT.2020.27
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 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 Î as induced subgraph. Many vertex-deletion problems such as Perfect Deletion, Wheel-free Deletion, and Interval Deletion fit into this framework. We introduce the concept of characterizing a graph property Î 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. [JCSS 2014]. Our main technical contribution shows how linear-algebraic dependence of suitably defined vectors over ð"½â,, implies graph-theoretic statements about the presence of forbidden induced subgraphs.
  • 关键词:kernelization; vertex-deletion; graph modification; structural parameterization
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