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arXiv 1908.09575math.COcs.DM
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Ramanujan图的随机增长

Random growth on a Ramanujan graph

Janko Boehm, Michael Joswig, Lars Kastner, Andrew Newman

摘要:

研究了任意正则图和非正则图上随机增长过程的行为。我们的论点是基于扩展混合引理,这意味着拉马努金图的结果是最强的,渐近最大化的谱隙。此外,我们考虑Erdens-Rényi随机图和比较我们的理论结果与计算实验翻转图的点配置。后者与列举三角测量有关。

英文摘要:

The behavior of a certain random growth process is analyzed on arbitrary regular and non-regular graphs. Our argument is based on the Expander Mixing Lemma, which entails that the results are strongest for Ramanujan graphs, which asymptotically maximize the spectral gap. Further, we consider Erdős--Rényi random graphs and compare our theoretical results with computational experiments on flip graphs of point configurations. The latter is relevant for enumerating triangulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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