Random walks in random conductances: decoupling and spread of infection

Peter Gracar, Alexandre Stauffer

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)
28 Downloads (Pure)


Let (G,μ) 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.

Original languageEnglish
Pages (from-to)3547-3569
Number of pages23
JournalStochastic Processes and their Applications
Issue number9
Early online date5 Oct 2018
Publication statusPublished - 1 Sept 2019

Bibliographical note

The text has been improved throughout and the proofs clarified


  • math.PR


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