On the Maximum Number of Vertices that Belong to Every Metric Basis

📅 2026-08-25
📈 Citations: 0
Influential: 0
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本文研究了图中属于所有度量基的顶点数问题,通过理论分析给出了上界,并探讨了边界情况下的图特征。
📝 Abstract
Metric bases of graphs have been widely studied since their introduction in the 1970's by Slater and, independently, by Harary and Melter. In this paper, we concentrate on the existence of vertices in a graph $G$ that belong to all metric bases of $G$. We call these basis forced vertices, and denote the number of them by $\mathrm{bf}(G)$. We show that $\mathrm{bf}(G)\le 2/3(n-k-1)$ for any connected nontrivial graph $G$ of order $n$ having $k$ vertices in each metric basis. In addition, we show that this bound can be attained. Furthermore, the previous result implies the bound $\mathrm{bf}(G)\le 2/5(n-1)$ formulated in terms of the order $n$ of the graph for any nontrivial connected graph $G$. This result answers a question posed by Bagheri et al. in 2016. Moreover, we provide a complete realization of the parameters $n$, $\dim(G)$ and $\mathrm{bf}(G) \ge 1$ within the previous bounds. We consider some extremal cases related to basis forced vertices in a graph, in particular, we give a full characterization of the graphs with $\mathrm{bf}(G) = 2$ and $\dim(G) = n-4$.
Problem

Research questions and friction points this paper is trying to address.

metric basis
basis forced vertices
graph theory
Innovation

Methods, ideas, or system contributions that make the work stand out.

metric bases
basis forced vertices
graph theory
upper bound
A
Anni Hakanen
Turku Collegium for Science, Medicine and Technology (TCSMT), University of Turku, Finland
V
Ville Junnila
Department of Mathematics and Statistics, University of Turku, Finland
Tero Laihonen
Tero Laihonen
Professor of Mathematics, University of Turku
Discrete mathematicscoding theorygraph theory
H
Havu Miikonen
Department of Mathematics and Statistics, University of Turku, Finland
Ismael G. Yero
Ismael G. Yero
Universidad de Cádiz
Graph theorydiscrete mathematicscombinatoricsmetric graph theorydomination in graphs