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arXiv 1902.03017math.CO
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图中基于距离的顶点识别:外部多集维数

Distance-based vertex identification in graphs: the outer multiset dimension

Reynaldo Gil-Pons, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua, Ismael G. Yero

摘要:

给定一个图$G$和一个顶点子集$S = \{w_1, \ldots, w_t\} \subseteq V(G)$,一个顶点$u\in V(G)$相对于$S$的多集表示是多集$m(u|S) = \{| d_G(u, w_1), \ldots, d_G(u, w_t) |\}$。顶点$S$的一个子集,使得对每个$u, v \in V(G) \setminus S$都有$m(u|S) = m(v|S) \iff u = v$,称为多集分解集,最小集的基数是外多集维数。我们研究了外部多重集维数的一般性质,并确定了几个图族的外部多重集维数的精确值。我们还表明,计算任意图的外部多集维数是NP-困难的,并提供有效地处理特定情况下的方法。

英文摘要:

Given a graph $G$ and a subset of vertices $S = \{w_1, \ldots, w_t\} \subseteq V(G)$, the multiset representation of a vertex $u\in V(G)$ with respect to $S$ is the multiset $m(u|S) = \{| d_G(u, w_1), \ldots, d_G(u, w_t) |\}$. A subset of vertices $S$ such that $m(u|S) = m(v|S) \iff u = v$ for every $u, v \in V(G) \setminus S$ is said to be a multiset resolving set, and the cardinality of the smallest such set is the outer multiset dimension. We study the general behaviour of the outer multiset dimension, and determine its exact value for several graph families. We also show that computing the outer multiset dimension of arbitrary graphs is NP-hard, and provide methods for efficiently handling particular cases.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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