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arXiv 2006.11248math.COcs.DM
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幂图和广义Ramanujan图的Alon-Boppana定理

An Alon-Boppana theorem for powered graphs and generalized Ramanujan graphs

Emmanuel Abbe, Peter Ralli

摘要:

图的r次幂通过连接距离r内的每个顶点对来修改图。本文给出了图的r次幂的Alon-Boppana定理的一个推广,包括不正则图。这导致了一个广义的概念拉马努金图,那些权力的图有一个频谱间隙匹配派生的阿隆-Boppana界。特别是,我们表明,某些图形,是不是很好的扩展,由于当地的不规则性,如Erdos Renyi随机图,成为几乎拉马努金一旦供电。Ramanujan图的另一种推广也可以从非回溯算子得到。接下来我们认为,幂算子给出了一个比后者更鲁棒的概念:稀疏Erdos-Renyi随机图与对手修改log(n)^c$顶点的子图仍然几乎Ramanujan在幂意义上,但不是在非回溯意义上。作为一个应用程序,这为不同的块模型提供了强大的社区测试。

英文摘要:

The r-th power of a graph modifies a graph by connecting every vertex pair within distance r. This paper gives a generalization of the Alon-Boppana Theorem for the r-th power of graphs, including irregular graphs. This leads to a generalized notion of Ramanujan graphs, those for which the powered graph has a spectral gap matching the derived Alon-Boppana bound. In particular, we show that certain graphs that are not good expanders due to local irregularities, such as Erdos-Renyi random graphs, become almost Ramanujan once powered. A different generalization of Ramanujan graphs can also be obtained from the nonbacktracking operator. We next argue that the powering operator gives a more robust notion than the latter: Sparse Erdos-Renyi random graphs with an adversary modifying a subgraph of log(n)^c$ vertices are still almost Ramanujan in the powered sense, but not in the nonbacktracking sense. As an application, this gives robust community testing for different block models.

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