图与流形上的诺伊曼域

Lior Alon, R. Band, Michael Bersudsky, Sebastian K. Egger
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引用次数: 7

摘要

拉普拉斯特征函数的节点集构成了底层流形或图的一个划分。另一种自然划分是基于特征函数的梯度向量场(在流形上)或特征函数的极值点(在图上)。这个划分的子流形(或子图)称为诺伊曼域。本文回顾了这一主题,并指出了一些悬而未决的问题和猜想。本文关注流形和度量图,并对它们的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neumann Domains on Graphs and Manifolds
The nodal set of a Laplacian eigenfunction forms a partition of the underlying manifold or graph. Another natural partition is based on the gradient vector field of the eigenfunction (on a manifold) or on the extremal points of the eigenfunction (on a graph). The submanifolds (or subgraphs) of this partition are called Neumann domains. This paper reviews the subject, as appears in a few recent works and points out some open questions and conjectures. The paper concerns both manifolds and metric graphs and the exposition allows for a comparison between the results obtained for each of them.
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