大度量图中节点数分布的普适性

IF 0.7 4区 数学 Q2 MATHEMATICS Experimental Mathematics Pub Date : 2021-06-11 DOI:10.1080/10586458.2022.2092565
Lior Alon, R. Band, G. Berkolaiko
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引用次数: 9

摘要

在度量(量子)图上的拉普拉斯算子的本征函数由于图的非平凡拓扑而具有过量的零。这个数字被称为节点盈余,是一个介于0和图的第一个贝蒂数β之间的整数。我们研究了图的本征函数的可数有限集中节点剩余值的分布。我们猜想,对于任何一系列增长β的图,这种分布都收敛于高斯分布。我们对几个特殊的图序列证明了这一猜想,并对各种著名的图族进行了数值检验。通过将节点盈余分布表示为高维环面上的积分的公式,可以精确计算该分布。
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Universality of Nodal Count Distribution in Large Metric Graphs
. An eigenfunction of the Laplacian on a metric (quantum) graph has an excess number of zeros due to the graph’s non-trivial topology. This number, called the nodal surplus, is an integer between 0 and the graph’s first Betti number β . We study the distribution of the nodal surplus values in the countably infinite set of the graph’s eigenfunctions. We conjecture that this distribution converges to Gaussian for any sequence of graphs of growing β . We prove this conjecture for several special graph sequences and test it numerically for a variety of well-known graph families. Accurate computation of the distribution is made possible by a formula expressing the nodal surplus distribution as an integral over a high-dimensional torus.
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来源期刊
Experimental Mathematics
Experimental Mathematics 数学-数学
CiteScore
1.70
自引率
0.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: Experimental Mathematics publishes original papers featuring formal results inspired by experimentation, conjectures suggested by experiments, and data supporting significant hypotheses. Experiment has always been, and increasingly is, an important method of mathematical discovery. (Gauss declared that his way of arriving at mathematical truths was "through systematic experimentation.") Yet this tends to be concealed by the tradition of presenting only elegant, fully developed, and rigorous results. Experimental Mathematics was founded in the belief that theory and experiment feed on each other, and that the mathematical community stands to benefit from a more complete exposure to the experimental process. The early sharing of insights increases the possibility that they will lead to theorems: An interesting conjecture is often formulated by a researcher who lacks the techniques to formalize a proof, while those who have the techniques at their fingertips have been looking elsewhere. Even when the person who had the initial insight goes on to find a proof, a discussion of the heuristic process can be of help, or at least of interest, to other researchers. There is value not only in the discovery itself, but also in the road that leads to it.
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