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arXiv 1601.02478math.PRcs.DM
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多重随机图度序列概率的幂律衰减及其在图同构中的应用

Power-law decay of the degree-sequence probabilities of multiple random graphs with application to graph isomorphism

Jefferson Elbert Simões, Daniel R. Figueiredo, Valmir C. Barbosa

摘要:

我们考虑多个独立Erdens-Rényi随机图的度序列所生成的概率空间上的事件,并考虑一个近似概率空间,其中这样的度序列被认为是独立同分布的序列.随机变量。我们证明了,对于任何事件序列的概率渐近小于一些幂律的近似模型,相同的上界也成立于原来的模型。我们通过扩展McKay和Wormald在一篇开创性论文中提出的近似框架来实现这一目标。最后,作为一个例子,我们应用开发的框架绑定多个独立的随机图同构相关的事件的概率。

英文摘要:

We consider events over the probability space generated by the degree sequences of multiple independent Erdős-Rényi random graphs, and consider an approximation probability space where such degree sequences are deemed to be sequences of i.i.d. random variables. We show that, for any sequence of events with probabilities asymptotically smaller than some power law in the approximation model, the same upper bound also holds in the original model. We accomplish this by extending an approximation framework proposed in a seminal paper by McKay and Wormald. Finally, as an example, we apply the developed framework to bound the probability of isomorphism-related events over multiple independent random graphs.

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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