Explicit construction of mixed dominating sets in generalized Petersen graphs

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Combinatorial Optimization Pub Date : 2024-10-14 DOI:10.1007/s10878-024-01222-x
Meysam Rajaati Bavil Olyaei, Mohsen Alambardar Meybodi, Mohammad Reza Hooshmandasl, Ali Shakiba
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Abstract

A mixed dominating set in a graph \(G=(V,E)\) is a subset D of vertices and edges of G such that every vertex and edge in \((V\cup E)\setminus D\) is a neighbor of some elements in D. The mixed domination number of G, denoted by \(\gamma _{\textrm{md}}(G)\), is the minimum size among all mixed dominating sets of G. For natural numbers n and k, where \(n > 2k\), a generalized Petersen graph P(nk) is a graph with vertices \( \{v_0, v_1, \ldots , v_{n-1} \}\cup \{u_0, u_1, \ldots , u_{n-1}\}\) and edges \(\cup _{0 \le i \le n-1} \{v_{i} v_{i+1}, v_iu_i, u_iu_{i+k}\}\) where subscripts are modulo n. In this paper, we explicitly construct an optimal mixed dominating set for generalized Petersen graphs P(nk) for \(k \in \{1, 2\}\). Moreover, we establish some upper bound on mixed domination number for other generalized Petersen graphs.

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广义彼得森图中混合支配集的显式构造
图 \(G=(V,E)\) 中的混合支配集是 G 的顶点和边的子集 D,使得 \((V\cup E)\setminus D\) 中的每个顶点和边都是 D 中某些元素的邻居。G 的混合支配数表示为 \(\gamma_{\textrm{md}}(G)\),是 G 的所有混合支配集中最小的大小。对于自然数 n 和 k,其中 \(n >;2k),广义彼得森图 P(n, k) 是一个具有顶点 \( \{v_0, v_1, \ldots , v_{n-1} \}cup \{u_0, u_1, \ldots 、u_{n-1}\}) 和边 \(\cup _{0 \le i \le n-1} \{v_{i} v_{i+1}, v_iu_i, u_iu_{i+k}}\}),其中下标是 modulo n。在本文中,我们为 \(k \in \{1, 2\}\) 明确地构建了广义彼得森图 P(n, k) 的最优混合支配集。此外,我们还为其他广义彼得森图建立了一些混合支配数的上界。
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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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