English

Metric dimension parameterized by treewidth in chordal graphs

Data Structures and Algorithms 2023-03-21 v1

Abstract

The metric dimension has been introduced independently by Harary, Melter and Slater in 1975 to identify vertices of a graph G using its distances to a subset of vertices of G. A resolving set X of a graph G is a subset of vertices such that, for every pair (u,v) of vertices of G, there is a vertex x in X such that the distance between x and u and the distance between x and v are distinct. The metric dimension of the graph is the minimum size of a resolving set. Computing the metric dimension of a graph is NP-hard even on split graphs and interval graphs. Bonnet and Purohit proved that the metric dimension problem is W[1]-hard parameterized by treewidth. Li and Pilipczuk strenghtened this result by showing that it is NP-hard for graphs of treewidth. In this article, we prove that that metric dimension is FPT parameterized by treewidth in chordal graphs.

Keywords

Cite

@article{arxiv.2303.10646,
  title  = {Metric dimension parameterized by treewidth in chordal graphs},
  author = {Nicolas Bousquet and Quentin Deschamps and Aline Parreau},
  journal= {arXiv preprint arXiv:2303.10646},
  year   = {2023}
}
R2 v1 2026-06-28T09:22:51.980Z