限制图形的强制总数

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shengjin Ji, Mengya He, Guang Li, Yingui Pan, Wenqian Zhang
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引用次数: 0

摘要

近年来,图中顶点的零强迫动态着色引起了许多研究者的关注。对于给定的G和顶点子集S,将S的每个顶点赋为黑色,将\(V\setminus S\)的每个顶点赋为无颜色,如果一个顶点\(u\in S\)在\(V\setminus S\)中有唯一的邻居v,则u强制v为黑色。如果S可以通过重复上述强迫过程扩展到整个顶点集V,则S称为零强迫集。如果子图G[S]满足\(\delta (G[S])\ge 1\),则将S视为总强迫集。对于图G, p(G)、q(G)和\(\phi (G)\)分别表示垂顶点数、至少有3度且有一条垂路径的顶点数和G的圈数,其中总强迫集的最小基数表示为\(F_t(G)\),称为G的总强迫数。本文利用生成树关于图G的总强迫集,验证了\(F_t(G)\le p(G)+q(G)+2\phi (G)\)。进而确定所有达到等式的图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bounding the total forcing number of graphs

Bounding the total forcing number of graphs

In recent years, a dynamic coloring, named as zero forcing, of the vertices in a graph have attracted many researchers. For a given G and a vertex subset S, assigning each vertex of S black and each vertex of \(V\setminus S\) no color, if one vertex \(u\in S\) has a unique neighbor v in \(V\setminus S\), then u forces v to color black. S is called a zero forcing set if S can be expanded to the entire vertex set V by repeating the above forcing process. S is regarded as a total forcing set if the subgraph G[S] satisfies \(\delta (G[S])\ge 1\). The minimum cardinality of a total forcing set in G, denoted by \(F_t(G)\), is named the total forcing number of G. For a graph G, p(G), q(G) and \(\phi (G)\) denote the number of pendant vertices, the number of vertices with degree at least 3 meanwhile having one pendant path and the cyclomatic number of G, respectively. In the paper, by means of the total forcing set of a spanning tree regarding a graph G, we verify that \(F_t(G)\le p(G)+q(G)+2\phi (G)\). Furthermore, all graphs achieving the equality are determined.

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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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