Hardness of Metric Dimension in Graphs of Constant Treewidth
Shaohua Li, Marcin Pilipczuk

TL;DR
This paper proves that the Metric Dimension problem is NP-hard even in graphs with a fixed treewidth of 24, resolving a long-standing open question about its computational complexity in such graph classes.
Contribution
It establishes NP-hardness of Metric Dimension in graphs of constant treewidth, strengthening previous W[1]-hardness results and closing the complexity gap.
Findings
NP-hardness in graphs of treewidth 24
Strengthens previous W[1]-hardness results
Clarifies complexity landscape of Metric Dimension
Abstract
The Metric Dimension problem asks for a minimum-sized resolving set in a given (unweighted, undirected) graph . Here, a set is resolving if no two distinct vertices of have the same distance vector to . The complexity of Metric Dimension in graphs of bounded treewidth remained elusive in the past years. Recently, Bonnet and Purohit [IPEC 2019] showed that the problem is W[1]-hard under treewidth parameterization. In this work, we strengthen their lower bound to show that Metric Dimension is NP-hard in graphs of treewidth 24.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
