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arxiv: 2303.10646 · v1 · pith:4EHUNLZAnew · submitted 2023-03-19 · 💻 cs.DS

Metric dimension parameterized by treewidth in chordal graphs

classification 💻 cs.DS
keywords dimensionmetricgraphsgraphtreewidthverticesparameterizedchordal
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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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