MULTI-SCALE LIPSCHITZ PERCOLATION OF INCREASING EVENTS FOR POISSON RANDOM WALKS
成果类型:
Article
署名作者:
Gracar, Peter; Stauffer, Alexandre
署名单位:
University of Cologne; University of Bath
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/18-AAP1420
发表日期:
2019
页码:
376-433
关键词:
spread
摘要:
Consider the graph induced by Z(d), equipped with uniformly elliptic random conductances. At time 0, place a Poisson point process of particles on Z(d) and let them perform independent simple random walks. Tessellate the graph into cubes indexed by i is an element of Z(d) and tessellate time into intervals indexed by tau. Given a local event E(i, tau) that depends only on the particles inside the space time region given by the cube i and the time interval tau, we prove the existence of a Lipschitz connected surface of cells (i, tau) that separates the origin from infinity on which E(i, tau) holds. This gives a directly applicable and robust framework for proving results in this setting that need a multi-scale argument. For example, this allows us to prove that an infection spreads with positive speed among the particles.
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