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Expansion properties of random Cayley graphs and vertex transitive graphs via matrix martingales

机译:矩阵mar对随机Cayley图和顶点传递图的扩展性质

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摘要

The Alon-Roichman theorem states that for every epsilon > 0 there is a constant c(epsilon), such that the Cayley graph of a finite group G with respect to c(epsilon) log vertical bar G vertical bar elements of G, chosen independently and uniformly at random, has expected second largest eigenvalue less than epsilon. In particular, such a graph is an expander with high probability. Landau and Russell, and independently Loh and Schulman, improved the bounds of the theorem. Following Landau and Russell we give a new proof of the result, improving the bounds even further. When considered for a general group G, our bounds are in a sense best possible. We also give a generalization of the Alon-Roichman theorem to random coset graphs. Our proof uses a Hoeffding-type result for operator valued random variables, which we believe can be of independent interest. (c) 2007 Wiley Periodicals, Inc.
机译:Alon-Roichman定理指出,对于每个> 0的ε,都有一个常数c(epsilon),从而有限组G的Cayley图相对于c(epsilon)的log垂直条G的G垂直条元素可以独立选择并均匀地随机地,期望第二大特征值小于ε。特别地,这样的图是具有高概率的扩展器。 Landau和Russell以及独立的Loh和Schulman改进了定理的界限。继Landau和Russell之后,我们给出了结果的新证明,进一步改善了界限。当考虑一般G组时,从某种意义上说,我们的界限是最好的。我们还将Alon-Roichman定理推广到随机陪集图。我们的证明对算子值随机变量使用霍夫丁类型的结果,我们认为这可能是独立的。 (c)2007年Wiley Periodicals,Inc.

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