Abstract:We study hitting probabilities for Z d -extensions of Gibbs-Markov maps. The goal is to estimate, given a finite Σ ⊂ Z d and p, q ∈ Σ, the probability P pq that the process starting from p returns to Σ at site q.Our study generalizes the methods available for random walks. We are able to give in many settings (square integrable jumps, jumps in the basin of a Lévy or Cauchy random variable) asymptotics for the transition matrix (P pq ) p,q∈Σ when the elements of Σ are far apart.We use three main tools: a varian… Show more
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