Renewal theorems for random walks in random scenery

preprint2011arXivOpen access

Abstract

Random walks in random scenery are processes defined by Zn:=∑k=1nξX1+...+XkZ_n:=\sum_{k=1}^nξ_{X_1+...+X_k}, where (Xk,k≥1)(X_k,k\ge 1) and (ξy,y∈Z)(ξ_y,y\in\mathbb Z) are two independent sequences of i.i.d. random variables. We suppose that the distributions of X1X_1 and ξ0ξ_0 belong to the normal domain of attraction of strictly stable distributions with index α∈[1,2]α\in[1,2] and β∈(0,2)β\in(0,2) respectively. We are interested in the asymptotic behaviour as ∣a∣|a| goes to infinity of quantities of the form ∑n≥1E[h(Zn−a)]\sum_{n\ge 1}{\mathbb E}[h(Z_n-a)] (when (Zn)n(Z_n)_n is transient) or ∑n≥1E[h(Zn)−h(Zn−a)]\sum_{n\ge 1}{\mathbb E}[h(Z_n)-h(Z_n-a)] (when (Zn)n(Z_n)_n is recurrent) where hh is some complex-valued function defined on R\mathbb{R} or Z\mathbb{Z}.

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