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Wannabe Bounded Treewidth Graphs Admit a Polynomial Kernel for Directed Feedback Vertex Set

  • Daniel Lokshtanov
  • , Maadapuzhi Sridharan Ramanujan
  • , Saket Saurabh
  • , Roohani Sharma
  • , Meirav Zehavi

    Research output: Contribution to journal › Article › peer-review

    3 Scopus citations

    Abstract

    In the Directed Feedback Vertex Set (DFVS) problem, given a digraph D and a positive integer k, the goal is to check if there exists a set of at most k vertices whose deletion from D results in a directed acyclic graph. The existence of a polynomial kernel for DFVS, parameterized by the solution size k, is a central open problem in kernelization. In this article, we give a polynomial kernel for DFVS parameterized by k plus the size of a treewidth- • modulator (of the underlying undirected graph), where • is any fixed positive integer. Since the status of the existence of a polynomial kernel for DFVS (parameterized by the solution size) has been open for a very long time now, and it is known to not admit a polynomial kernel when the parameter is the size of a treewidth-2 modulator, solution size plus the size of the treewidth- • modulator makes for an interesting choice of parameter to study. In fact, the polynomial kernelization complexity of DFVS parameterized by the size of the undirected feedback vertex set (treewidth-1 modulator) in the underlying undirected graph has already been studied in literature. Our choice of parameter strictly encompasses previous positive kernelization results on DFVS. Our result is based on a novel application of the tool of important separators embedded in state-of-the-art machinery such as protrusion decompositions.

    Original languageEnglish
    Article number2
    JournalACM Transactions on Computation Theory
    Volume17
    Issue number1
    DOIs
    StatePublished - 14 Feb 2025

    Keywords

    • Directed feedback vertex set
    • important separator
    • kernel
    • treewidth

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computational Theory and Mathematics

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