广义第一通道渗滤中时间常数的 Lipschitz-continuity

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2024-06-04 DOI:10.1016/j.spa.2024.104402
Van Hao Can , Shuta Nakajima , Van Quyet Nguyen
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引用次数: 0

摘要

在本文中,我们考虑一种广义的第一通道渗滤模型,其中 Zd 中的每条边都以 1-p 的概率被独立赋予无限权重,否则就是随机的有限权重。时间常数的存在性和正向性已在 Cerf 和 Théret (2016) 中确定。最近,Cerf 和 Dembin(2022 年)利用复杂的多尺度重正化证明,超临界渗流中化学距离的时间常数是 Lipschitz 连续的。在这项工作中,我们提出了一种不同的方法,即利用晶格动物理论和借助鲁索公式的简单一步重正化,来证明广义第一通道渗滤中时间常数的利普希兹连续性。
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Lipschitz-continuity of time constant in generalized First-passage percolation

In this article, we consider a generalized First-passage percolation model, where each edge in Zd is independently assigned an infinite weight with probability 1p, and a random finite weight otherwise. The existence and positivity of the time constant have been established in Cerf and Théret (2016). Recently, using sophisticated multi-scale renormalizations, Cerf and Dembin (2022) proved that the time constant of chemical distance in super-critical percolation is Lipschitz continuous. In this work, we propose a different approach leveraging lattice animal theory and a simple one-step renormalization with the aid of Russo’s formula, to show the Lipschitz continuity of the time constant in generalized First-passage percolation.

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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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