有限图的嵌入和第一个拉普拉斯特征值

Pub Date : 2024-07-16 DOI:10.1007/s10878-024-01191-1
Takumi Gomyou, Toshimasa Kobayashi, Takefumi Kondo, Shin Nayatani
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引用次数: 0

摘要

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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Embedding and the first Laplace eigenvalue of a finite graph

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.

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