Metric Dimension: from Graphs to Oriented Graphs

Julien Bensmail (1) , Fionn Mc Inerney (1) , Nicolas Nisse (1)

1 COATI - Combinatorics, Optimization and Algorithms for Telecommunications

The metric dimension $MD(G)$ of an undirected graph $G$ is the cardinality of a smallest set of vertices that allows, through their distances to all vertices, to distinguish any two vertices of $G$. Many aspects of this notion have been investigated since its introduction in the 70's, including its generalization to digraphs. In this work, we study, for particular graph families, the maximum metric dimension over all strongly-connected orientations, by exhibiting lower and upper bounds on this value. We first exhibit general bounds for graphs with bounded maximum degree. In particular, we prove that, in the case of subcubic $n$-node graphs, all strongly-connected orientations asymptotically have metric dimension at most $\frac{n}{2}$, and that there are such orientations having metric dimension $\frac{2n}{5}$. We then consider strongly-connected orientations of grids. For a torus with $n$ rows and $m$ columns, we show that the maximum value of the metric dimension of a strongly-connected Eulerian orientation is asymptotically $\frac{nm}{2}$ (the equality holding when $n$, $m$ are even, which is best possible). For a grid with $n$ rows and $m$ columns, we prove that all strongly-connected orientations asymptotically have metric dimension at most $\frac{2nm}{3}$, and that there are such orientations having metric dimension $\frac{nm}{2}$.

Mots clés: Resolving sets; Strongly-connected orientations; Metric dimension

Domaines: Informatique [cs]; Mathématique discrète [cs.DM]

Julien Bensmail, Fionn Mc Inerney, Nicolas Nisse. Metric Dimension: from Graphs to Oriented Graphs. LAGOS 2019 - 10th Latin & American Algorithms, Graphs and Optimization Symposium, Jun 2019, Belo Horizonte, Brazil. pp.111-123. ⟨hal-02098194⟩