Embedding and the first Laplace eigenvalue of a finite graph

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Takumi Gomyou, Toshimasa Kobayashi, Takefumi Kondo, Shin Nayatani
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引用次数: 0

Abstract

Göring–Helmberg–Wappler introduced optimization problems regarding embeddings of a graph into a Euclidean space and the first nonzero eigenvalue of the Laplacian of a graph, which are dual to each other in the framework of semidefinite programming. In this paper, we introduce a new graph-embedding optimization problem, and discuss its relation to Göring–Helmberg–Wappler’s problems. We also identify the dual problem to our embedding optimization problem. We solve the optimization problems for distance-regular graphs and the one-skeleton graphs of the \(\textrm{C}_{60}\) fullerene and some other Archimedian solids.

有限图的嵌入和第一个拉普拉斯特征值
Göring-Helmberg-Wappler 提出了关于图嵌入欧几里得空间的优化问题和图的拉普拉奇第一个非零特征值的优化问题,这两个问题在半定量编程框架中互为对偶。本文介绍了一个新的图嵌入优化问题,并讨论了它与 Göring-Helmberg-Wappler 问题的关系。我们还确定了嵌入优化问题的对偶问题。我们解决了富勒烯和其他一些阿基米德实体的距离规则图和单骨架图的优化问题。
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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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