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arXiv 2204.07239math.CO
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随机对称边多面体的面、度序列与聚类

Facets of Random Symmetric Edge Polytopes, Degree Sequences, and Clustering

Benjamin Braun, Kaitlin Bruegge, Matthew Kahle

AI总结:

研究随机图模型下对称边多面体的面结构,发现Erdős-Renyi图的阈值概率,并证明固定度序列下平均局部聚类系数与面数量正相关。

摘要:

对称边多面体是与有限简单图相关联的格多面体,在理论和应用中都备受关注。我们研究了多种随机图模型下对称边多面体的面结构。对于Erdős-Renyi随机图,我们确定了一个阈值概率,在该概率下,对称边多面体与完全图的对称边多面体以高概率共享许多支撑超平面。我们还研究了平均局部聚类(也称为Watts-Strogatz聚类系数)与面数量之间的关系,对象是具有固定边数或固定度序列的图。我们使用著名的Markov Chain Monte Carlo采样方法生成经验证据,证明对于固定度序列,连通图中较高的平均局部聚类对应于相关联对称边多面体中较多的面数量。

英文摘要:

Symmetric edge polytopes are lattice polytopes associated with finite simple graphs that are of interest in both theory and applications. We investigate the facet structure of symmetric edge polytopes for various models of random graphs. For an Erdős-Renyi random graph, we identify a threshold probability at which with high probability the symmetric edge polytope shares many facet-supporting hyperplanes with that of a complete graph. We also investigate the relationship between the average local clustering, also known as the Watts-Strogatz clustering coefficient, and the number of facets for graphs with either a fixed number of edges or a fixed degree sequence. We use well-known Markov Chain Monte Carlo sampling methods to generate empirical evidence that for a fixed degree sequence, higher average local clustering in a connected graph corresponds to higher facet numbers in the associated symmetric edge polytope.

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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