We introduce the notion of a centroidal locating set of a graph G, that is, a set L of vertices such that all vertices in G are uniquely determined by their relative distances to the vertices of L. A centroidal locating set of G of minimum size is called a centroidal basis, and its size is the centroidal dimension CD(G). This notion, which is related to previous concepts, gives a new way of identifying the vertices of a graph. The centroidal dimension of a graph G is lowerand upper-bounded by the metric dimension and twice the location-domination number of G, respectively. The latter two parameters are standard and well-studied notions in the field of graph identification. We show that for any graph G with n vertices and maximum degree at least 2, (1 + o(1)) ln n ln ln n ≤ CD(G) ≤ n − 1. We discuss the tightness of these bounds and in particular, we characterize the set of graphs reaching the upper bound. We then show that for graphs in which every pair of vertices is connected via a bounded number of paths, CD(G) = Ω |E(G)| , the bound being tight for paths and cycles. We finally investigate the computational complexity of determining CD(G) for an input graph G, showing that the problem is hard and cannot even be approximated efficiently up to a factor of o(log n). We also give an O √ n ln napproximation algorithm.
Relative distances and centroidal dimension Foucaud et al. dened a variant of resolving sets, called centroidal bases, where the vertices of a graph must be distinguished by their relative distances to the probed vertices REF .
Centroidal bases in graphs
Networks 64(2):96-108, 2014
Mathematics Computer Science