Metric dimension parameterized by treewidth in chordal graphs

March 19, 2023 Β· Declared Dead Β· πŸ› International Workshop on Graph-Theoretic Concepts in Computer Science

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Authors Nicolas Bousquet, Quentin Deschamps, Aline Parreau arXiv ID 2303.10646 Category cs.DS: Data Structures & Algorithms Citations 4 Venue International Workshop on Graph-Theoretic Concepts in Computer Science Last Checked 4 months ago
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.
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