On the Parameterized and Approximation Hardness of Metric Dimension

TL;DR

This paper proves the parameterized and approximation hardness of the Metric Dimension problem on graphs with maximum degree three, showing it is W[2]-complete and inapproximable within o(log n), thus establishing its computational difficulty.

Contribution

It provides a polynomial-time reduction from Bipartite Dominating Set to Metric Dimension, answering open questions about its parameterized complexity and approximation limits.

Findings

Metric Dimension is W[2]-complete on degree three graphs.

No n^{o(k)} time algorithm exists unless FPT=W[1].

Inapproximable within o(log n) unless NP=P.

Abstract

The NP-hard Metric Dimension problem is to decide for a given graph G and a positive integer k whether there is a vertex subset of size at most k that separates all vertex pairs in G. Herein, a vertex v separates a pair {u,w} if the distance (length of a shortest path) between v and u is different from the distance of v and w. We give a polynomial-time computable reduction from the Bipartite Dominating Set problem to Metric Dimension on maximum degree three graphs such that there is a one-to-one correspondence between the solution sets of both problems. There are two main consequences of this: First, it proves that Metric Dimension on maximum degree three graphs is W[2]-complete with respect to the parameter k. This answers an open question concerning the parameterized complexity of Metric Dimension posed by D\'iaz et al. [ESA'12] and already mentioned by Lokshtanov [Dagstuhl seminar, 2009]. Additionally, it implies that Metric Dimension cannot be solved in n^{o(k)} time, unless the assumption FPT \neq W[1] fails. This proves that a trivial n^{O(k)} algorithm is probably asymptotically optimal. Second, as Bipartite Dominating Set is inapproximable within o(log n), it follows that Metric Dimension on maximum degree three graphs is also inapproximable by a factor of o(log n), unless NP=P. This strengthens the result of Hauptmann et al. [JDA 2012] who proved APX-hardness on bounded-degree graphs.