非稳定环境下的连续渗流

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY
Benedikt Jahnel, Sanjoy Kumar Jhawar, Anh Duc Vu
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引用次数: 2

摘要

在具有非稳定指导措施的Cox点过程的布尔模型中证明了连续渗流的相变。在经典泊松-布尔模型中,定向测度可以看作是一个平稳随机环境,它由平面矩形泊松线过程给出。这种曼哈顿网格型建筑的特点是对环境的长期依赖,导致相关Cox-Boolean模型缺乏急剧的相变。在单独和共同变化的参数下建立了相变。我们的证明基于离散化论证和与[Hof05]中建立的随机拉伸晶格上的渗透的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuum percolation in a nonstabilizing environment
We prove phase transitions for continuum percolation in a Boolean model based on a Cox point process with nonstabilizing directing measure. The directing measure, which can be seen as a stationary random environment for the classical Poisson–Boolean model, is given by a planar rectangular Poisson line process. This Manhattan grid type construction features long-range dependencies in the environment, leading to absence of a sharp phase transition for the associated Cox–Boolean model. The phase transitions are established under individually as well as jointly varying parameters. Our proofs rest on discretization arguments and a comparison to percolation on randomly stretched lattices established in [Hof05].
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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