Gracar, P orcid.org/0000-0001-8340-8340 and Stauffer, A (2019) Random walks in random conductances: Decoupling and spread of infection. Stochastic Processes and their Applications, 129 (9). pp. 3547-3569. ISSN 0304-4149
Abstract
Let (G, µ) be a uniformly elliptic random conductance graph on Zd with a Poisson point process of particles at time t = 0 that perform independent simple random walks. We show that inside a cube QK of side length K, if all subcubes of side length ℓ < K inside QK have sufficiently many particles, the particles return to stationarity after cℓ2 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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. |
Keywords: | Mixing; Decoupling; Spread of infection; Heat kernel |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Jan 2024 14:12 |
Last Modified: | 05 Jan 2024 14:12 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.spa.2018.09.016 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:200620 |