#### Title

Extremal results for graphs of bounded metric dimension

#### Publication Date

3-15-2022

#### Document Type

Article

#### Publication Title

Discrete Applied Mathematics

#### Volume

309

#### DOI

10.1016/j.dam.2021.11.015

#### First Page

123

#### Last Page

129

#### Abstract

Metric dimension is a graph parameter motivated by problems in robot navigation, drug design, and image processing. In this paper, we answer several open extremal problems on metric dimension and pattern avoidance in graphs from Geneson (2020). Specifically, we construct a new family of graphs that allows us to determine the maximum possible degree of a graph of metric dimension at most k, the maximum possible degeneracy of a graph of metric dimension at most k, the maximum possible chromatic number of a graph of metric dimension at most k, and the maximum n for which there exists a graph of metric dimension at most k that contains Kn,n. We also investigate a variant of metric dimension called edge metric dimension and solve another problem from the same paper for n sufficiently large by showing that the edge metric dimension of Pnd is d for n≥dd−1. In addition, we use a probabilistic argument to make progress on another open problem from the same paper by showing that the maximum possible clique number of a graph of edge metric dimension at most k is 2Θ(k). We also make progress on a problem from Zubrilina (2018) by finding a family of new triples (x,y,n) for which there exists a graph of metric dimension x, edge metric dimension y, and order n. In particular, we show that for each integer k>0, there exist graphs G with metric dimension k, edge metric dimension 3k(1−o(1)), and order 3k(1+o(1)).

#### Keywords

Edge metric dimension, Extremal functions, Metric dimension, Pattern avoidance

#### Department

Mathematics and Statistics

#### Recommended Citation

Jesse Geneson, Suchir Kaustav, and Antoine Labelle. "Extremal results for graphs of bounded metric dimension" *Discrete Applied Mathematics* (2022): 123-129. https://doi.org/10.1016/j.dam.2021.11.015