Feedback Vertex Set Inspired Kernel for Chordal Vertex Deletion
Akanksha Agrawal, Daniel Lokshtanov, Pranabendu Misra, Saket Saurabh,, Meirav Zehavi

TL;DR
This paper presents a new polynomial kernel for the Chordal Vertex Deletion problem, inspired by Feedback Vertex Set, with a size of O(k^{12} log^{10}k), and introduces the concept of vertex independence degree.
Contribution
It introduces the independence degree of a vertex and designs a smaller kernel for CVD, advancing the understanding of kernelization in parameterized complexity.
Findings
Developed a kernel of size O(k^{12} log^{10}k) for CVD.
Introduced the concept of vertex independence degree.
Connected kernelization techniques to Feedback Vertex Set.
Abstract
Given a graph and a parameter , the Chordal Vertex Deletion (CVD) problem asks whether there exists a subset of size at most that hits all induced cycles of size at least 4. The existence of a polynomial kernel for CVD was a well-known open problem in the field of Parameterized Complexity. Recently, Jansen and Pilipczuk resolved this question affirmatively by designing a polynomial kernel for CVD of size , and asked whether one can design a kernel of size . While we do not completely resolve this question, we design a significantly smaller kernel of size , inspired by the -size kernel for Feedback Vertex Set. Furthermore, we introduce the notion of the independence degree of a vertex, which is our main conceptual contribution.
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Taxonomy
TopicsAlgorithms and Data Compression · Advanced biosensing and bioanalysis techniques · DNA and Biological Computing
