English

A Polynomial Kernel for Distance-Hereditary Vertex Deletion

Data Structures and Algorithms 2017-02-22 v3

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 GG on nn vertices and an integer kk, whether there is a set SS of at most kk vertices in GG such that GSG-S is distance-hereditary. This problem is important due to its connection to the graph parameter rank-width that distance-hereditary graphs are exactly graphs of rank-width at most 11. Eiben, Ganian, and Kwon (MFCS' 16) proved that Distance-Hereditary Vertex Deletion can be solved in time 2O(k)nO(1)2^{\mathcal{O}(k)}n^{\mathcal{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 (SODA' 17) to obtain an approximate solution with O(k3logn)\mathcal{O}(k^3\log 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.

Keywords

Cite

@article{arxiv.1610.07229,
  title  = {A Polynomial Kernel for Distance-Hereditary Vertex Deletion},
  author = {Eun Jung Kim and O-joung Kwon},
  journal= {arXiv preprint arXiv:1610.07229},
  year   = {2017}
}

Comments

37 pages, 6 figures; improved previous kernel size to O(k^{30} polylogk)

R2 v1 2026-06-22T16:28:59.446Z