Random walks in random conductances: Decoupling and spread of infection

STOCHASTIC PROCESSES AND THEIR APPLICATIONS

卷:129

Article

Gracar, P.¹  Stauffer, A.² 

[1] Univ Cologne, Math Inst, Cologne, Germany

[2] Univ Bath, Dept Math Sci, Bath, Avon, England

关键词: Mixing;    Decoupling;    Spread of infection;    Heat kernel;   

DOI  :  10.1016/j.spa.2018.09.016

来源: Elsevier

【 摘 要 】

Let (G, mu) be a uniformly elliptic random conductance graph on Z(d) with a Poisson point process of particles at time t = 0 that perform independent simple random walks. We show that inside a cube Q(K) of side length K, if all subcubes of side length l < K inside Q(K) have sufficiently many particles, the particles return to stationarity after cl(2) time with a probability close to 1. We show that in this setup, an infection spreads with positive speed in any direction. Our framework is robust enough to allow us to also extend the result to infection with recovery. (C) 2018 Elsevier B.V. All rights reserved.

【 授权许可】

Free