English

Computing Truncated Metric Dimension of Trees

Data Structures and Algorithms 2023-02-14 v1

Abstract

Let G=(V,E)G=(V,E) be a simple, unweighted, connected graph. Let d(u,v)d(u,v) denote the distance between vertices u,vu,v. A resolving set of GG is a subset SS of VV such that knowing the distance from a vertex vv to every vertex in SS uniquely identifies vv. The metric dimension of GG is defined as the size of the smallest resolving set of GG. We define the kk-truncated resolving set and kk-truncated metric dimension of a graph similarly, but with the notion of distance replaced with dk(u,v):=min(d(u,v),k+1)d_k(u,v) := \min(d(u,v),k+1). In this paper, we demonstrate that computing kk-truncated dimension of trees is NP-Hard for general kk. We then present a polynomial-time algorithm to compute kk-truncated dimension of trees when kk is a fixed constant.

Keywords

Cite

@article{arxiv.2302.05960,
  title  = {Computing Truncated Metric Dimension of Trees},
  author = {Paul Gutkovich and Zi Song Yeoh},
  journal= {arXiv preprint arXiv:2302.05960},
  year   = {2023}
}
R2 v1 2026-06-28T08:38:09.123Z