使用给定周长的距离监测图形的边缘

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-03-06 DOI:10.1016/j.jcss.2024.103528
Chenxu Yang , Gang Yang , Sun-Yuan Hsieh , Yaping Mao , Ralf Klasing
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引用次数: 0

摘要

对于一个图的顶点集和边,如果存在一个顶点,使得 或 ,则由 。如果所有边都由图 的某些顶点监控,则图 的顶点集是(简称 DEM 集)。 图 的 定义是图 的 DEM 集的最小心性。 本文中,我们证明了对于一个连通图(不是树),其阶为 ,其中 (简称 )是图 中最短循环的长度。此外,当且仅当 是一个循环或一个完整图()时,等式成立。让 是具有 DEM 数和周长的连通图类。对于任意 ,我们有 .此外,当且仅当 和 或 和 时,等式成立。 此外,存在这样一个图,它可以任意大。我们还给出了 和 之间的关系,即 。
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Monitoring the edges of a graph using distances with given girth

A set M of vertices of a graph G is a distance-edge-monitoring set if for every edge eG, there is a vertex xM and a vertex yG such that e belongs to all shortest paths between x and y. We denote by dem(G) the smallest size of such a set in G. In this paper, we prove that dem(G)ng(G)/2 for any connected graph G, which is not a tree, of order n, where g(G) is the length of a shortest cycle in G, and give the graphs with dem(G)=ng(G)/2. We also obtain that |V(G)|k+g(G)/2 for every connected graph G with dem(G)=k and g(G)=g. Furthermore, the lower bound holds if and only if g=3 and k=n1 or g=4 and k=2. We prove that dem(G)2n/5 for g(G)5.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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