Multi-scale Lipschitz percolation of increasing events for Poisson random walks

Peter Gracar, Alexandre Stauffer

Research output: Contribution to journalArticle

17 Downloads (Pure)

Abstract

Consider the graph induced by Zd, equipped with uniformly elliptic random conductances. At time 0, place a Poisson point process of particles on Zd and let them perform independent simple random walks. Tessellate the graph into cubes indexed by i ∈ Zd and tessellate time into intervals indexed by τ. Given a local event E(i,τ) that depends only on the particles inside the space time region given by the cube i and the time interval τ, we prove the existence of a Lipschitz connected surface of cells (i,τ) that separates the origin from infinity on which E(i, τ) 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.
Original languageEnglish
Pages (from-to)376-433
Number of pages58
JournalAnnals of Applied Probability
Volume29
Issue number1
Early online date5 Dec 2018
DOIs
Publication statusPublished - 28 Feb 2019

Keywords

  • math.PR

Fingerprint Dive into the research topics of 'Multi-scale Lipschitz percolation of increasing events for Poisson random walks'. Together they form a unique fingerprint.

  • Projects

    Cite this