BIASED RANDOM WALK ON DYNAMICAL PERCOLATION

Sebastian Andres, Nina Gantert, Dominik Schmid, Perla Sousi

Research output: Contribution to journalArticlepeer-review

Abstract

We study biased random walks on dynamical percolation on Zd. We establish a law of large numbers and an invariance principle for the random walk using regeneration times. Moreover, we verify that the Einstein relation holds, and we investigate the speed of the walk as a function of the bias. While for d = 1 the speed is increasing, we show that, in general, this fails in dimension d ≥ 2. As our main result, we establish two regimes of parameters, separated by an explicit critical curve such that the speed is either eventually strictly increasing or eventually strictly decreasing. This is in sharp contrast to the biased random walk on a static supercritical percolation cluster where the speed is known to be eventually zero.

Original languageEnglish
Pages (from-to)2051-2078
Number of pages28
JournalAnnals of Probability
Volume52
Issue number6
DOIs
StatePublished - 2024

Keywords

  • biased random walk
  • Dynamical percolation
  • regeneration times

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