On sufficient conditions for Hamiltonicity of graphs, and beyond

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hechao Liu, Lihua You, Yufei Huang, Zenan Du
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引用次数: 0

Abstract

Identifying certain conditions that ensure the Hamiltonicity of graphs is highly important and valuable due to the fact that determining whether a graph is Hamiltonian is an NP-complete problem.For a graph G with vertex set V(G) and edge set E(G), the first Zagreb index (\(M_{1}\)) and second Zagreb index (\(M_{2}\)) are defined as \(M_{1}(G)=\sum \limits _{v_{i}v_{j}\in E(G)}(d_{G}(v_{i})+d_{G}(v_{j}))\) and \(M_{2}(G)=\sum \limits _{v_{i}v_{j}\in E(G)}d_{G}(v_{i})d_{G}(v_{j})\), where \(d_{G}(v_{i})\) denotes the degree of vertex \(v_{i}\in V(G)\). The difference of Zagreb indices (\(\Delta M\)) of G is defined as \(\Delta M(G)=M_{2}(G)-M_{1}(G)\).In this paper, we try to look for the relationship between structural graph theory and chemical graph theory. We obtain some sufficient conditions, with regards to \(\Delta M(G)\), for graphs to be k-hamiltonian, traceable, k-edge-hamiltonian, k-connected, Hamilton-connected or k-path-coverable.

论图的哈密顿性及其他的充分条件
确定确保图的哈密顿性的某些条件是非常重要和有价值的,因为确定一个图是否哈密顿是一个 NP-完全问题。对于具有顶点集 V(G) 和边集 E(G) 的图 G、第一个萨格勒布指数(\(M_{1}\))和第二个萨格勒布指数(\(M_{2}\))的定义是:\(M_{1}(G)=\sum \limits_{v_{i}v_{j}\in E(G)}(d_{G}(v_{i})+d_{G}(v_{j}))\) 和 (M_{2}(G)=\sum \limits _{v_{i}v_{j}\in E(G)}d_{G}(v_{i})d_{G}(v_{j})\)、其中 \(d_{G}(v_{i})\) 表示顶点 \(v_{i}\in V(G)\) 的度数。G的萨格勒布指数差(\(\Delta M\))定义为\(\Delta M(G)=M_{2}(G)-M_{1}(G)\).关于 \(\Delta M(G)\),我们得到了图是 k-哈密尔顿图、可追踪图、k-边-哈密尔顿图、k-连接图、哈密尔顿连接图或 k-路径可覆盖图的一些充分条件。
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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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