首页> 外文期刊>The Annals of Probability: An Official Journal of the Institute of Mathematical Statistics >A LOCAL LIMIT THEOREM FOR RANDOM WALKS IN RANDOM SCENERY AND ON RANDOMLY ORIENTED LATTICES
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A LOCAL LIMIT THEOREM FOR RANDOM WALKS IN RANDOM SCENERY AND ON RANDOMLY ORIENTED LATTICES

机译:随机场景和面向随机晶格的随机行走的局部极限定理

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摘要

Random walks in random scenery are processes defined by Z_n := Σ_(k=1)~n ξ_(X_1+···+X_k), where (X_k, k ≥ 1) and (ξy, y ∈ Z) are two independent sequences of i.i.d. random variables. We assume here that their distributions belong to the normal domain of attraction of stable laws with index α ∈ (0, 2] and β ∈ (0, 2], respectively. These processes were first studied by H. Kesten and F. Spitzer, who proved the convergence in distribution when α ≠ 1 and as n→∞, of n ~(-δ) Z_n, for some suitable δ > 0 depending on α and β. Here, we are interested in the convergence, as n→∞, of n~δP(Z_n = 「n~δx」), when x ∈ R is fixed. We also consider the case of random walks on randomly oriented lattices for which we obtain similar results.
机译:随机风景中的随机游走是由Z_n定义的过程:=Σ_(k = 1)〜nξ_(X_1 +···+ X_k),其中(X_k,k≥1)和(ξy,y∈Z)是两个独立的序列的id随机变量。我们在此假设它们的分布分别属于稳定定律的正态吸引域,其索引分别为α∈(0,2]和β∈(0,2],这些过程首先由H. Kesten和F. Spitzer研究,他们证明了n〜(-δ)Z_n的α≠1且为n→∞时分布的收敛性,对于取决于α和β的一些合适的δ> 0,我们感兴趣的是n→∞当x∈R是固定的时,我们还考虑了在随机取向的晶格上随机游动的情况,我们得到了相似的结果。

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