A polynomial kernel for Distance-Hereditary Vertex Deletion
- Authors
- Kim, Eun Jung; Kwon, O jung
- Issue Date
- Jul-2021
- Publisher
- SPRINGER
- Keywords
- Parameterized complexity; Polynomial kernel; Distance-hereditary graph; Rank-width
- Citation
- ALGORITHMICA, v.83, no.7, pp.2096 - 2141
- Indexed
- SCIE
SCOPUS
- Journal Title
- ALGORITHMICA
- Volume
- 83
- Number
- 7
- Start Page
- 2096
- End Page
- 2141
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189706
- DOI
- 10.1007/s00453-021-00820-z
- ISSN
- 0178-4617
- Abstract
- A graph is distance-hereditary if for any pair of vertices, their distance in every connected induced subgraph containing both vertices is the same as their distance in the original graph. The DISTANCE-HEREDITARY VERTEX DELETION problem asks, given a graph G on n vertices and an integer k, whether there is a set S of at most k vertices in G such that G - S is distance-hereditary. This problem is important due to its connection to the graph parameter rank-width because distance-hereditary graphs are exactly the graphs of rank-width at most 1. Eiben, Ganian, and Kwon (JCSS' 18) proved that DISTANCE-HEREDITARY VERTEX DELETION can be solved in time 2(O(k)) n(O(1)), and asked whether it admits a polynomial kernelization. We show that this problem admits a polynomial kernel, answering this question positively. For this, we use a similar idea for obtaining an approximate solution for CHORDAL VERTEX DELETION due to Jansen and Pilipczuk (SIDMA' 18) to obtain an approximate solution with O(k(3) log n + k(2) log(2) n) vertices when the problem is a YEs-instance, and we exploit the structure of split decompositions of distance-hereditary graphs to reduce the total size.
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