Metric Dimension: from Graphs to Oriented Graphs

Q3 Computer Science
Julien Bensmail , Fionn Mc Inerney , Nicolas Nisse
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引用次数: 9

Abstract

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 n2, and that there are such orientations having metric dimension 2n5. 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 nm2 (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 2nm3, and that there are such orientations having metric dimension nm2.

度量维度:从图到有向图
无向图G的度量维MD(G)是最小顶点集的基数,通过它们到所有顶点的距离,可以区分G的任意两个顶点。自70年代引入这个概念以来,已经研究了许多方面,包括将其推广到有向图。在这项工作中,我们通过展示该值的下界和上界,研究了特定图族在所有强连接方向上的最大度量维数。我们首先给出最大度有界图的一般界。特别地,我们证明了在次三次n节点图的情况下,所有强连接方向的度量维数渐近不超过n2,并且存在这样的方向的度量维数为2n5。然后我们考虑强连接的网格方向。对于n行m列的环面,我们证明了强连通欧拉方向的度量维的最大值是渐近的nm2(当n, m是偶数时,这个等式成立,这是最好的可能)。对于n行m列的网格,我们证明了所有强连通方向的度量维数渐近不超过2nm3,并且存在这样的强连通方向的度量维数为nm2。
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来源期刊
Electronic Notes in Theoretical Computer Science
Electronic Notes in Theoretical Computer Science Computer Science-Computer Science (all)
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