2003
DOI: 10.1007/s00440-002-0234-2
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Quenched, annealed and functional large deviations for one-dimensional random walk in random environment

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Cited by 59 publications
(112 citation statements)
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“…Indeed, in the latter case the deviation from the typical position is linear in time, but we have that the large deviation rate function I satisfies I (0) = 0, and the known large deviation results only tell us that slowdown probabilities decay slower than exponentially in n (see, for instance, [1]) . We mention here that in the literature one can find some results on moderate deviations for the case of recurrent RWRE (often referred to as RWRE in "Sinai's regime"), see [2,3], and also [7] for the continuous space and time version. Now, we state the results we are going to prove in this paper.…”
Section: Introduction and Resultsmentioning
confidence: 95%
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“…Indeed, in the latter case the deviation from the typical position is linear in time, but we have that the large deviation rate function I satisfies I (0) = 0, and the known large deviation results only tell us that slowdown probabilities decay slower than exponentially in n (see, for instance, [1]) . We mention here that in the literature one can find some results on moderate deviations for the case of recurrent RWRE (often referred to as RWRE in "Sinai's regime"), see [2,3], and also [7] for the continuous space and time version. Now, we state the results we are going to prove in this paper.…”
Section: Introduction and Resultsmentioning
confidence: 95%
“…However, one still can say that at time n the particle is "typically" at distance roughly n κ from the origin, since the weaker result lim n→∞ ln X n / ln n = κ, P-a.s., is still valid. 1 Besides the results about the location of the particle at time n, we are interested also in the first hitting times of certain regions in space. For any set A ⊂ Z, define:…”
Section: Introduction and Resultsmentioning
confidence: 99%
“…It is strongly believed that the large deviations rate function is non-analytic at 0 (cf. [6,2]), this makes any moderate deviation result interesting and rather hard to predict. Let us introduce some notations.…”
Section: Moderate Deviationsmentioning
confidence: 94%
“…In [8] Hu and Shi identified the upper limit for the walk: lim sup ξ 0 n /((ln 2 n)(ln ln ln n)) = 8/π 2 σ 2 , a.s. As for the quenched probabilities of large deviations P ω [ξ 0 t ≥ tu], the present model in Sinai's regime is covered by [6,2] and the decay is exponential in t, but also different regimes are considered when Condition S is not satisfied, leading to full variety of behaviors (see [22]). Therefore, in the case of Sinai's regime, there remains a big gap corresponding to moderate deviations, in spite of partial results in [3,8].…”
Section: Moderate Deviationsmentioning
confidence: 99%
“…In the last decade, asymptotics for large-deviation probabilities involving one-dimensional, nearest-neighbor random walk in random environment (RWRE) have been determined quite precisely; see [6,2,4,14,13,1], and [5] for an overview. Striking partial results were obtained by Sznitman and Zerner [19,21,16,17] in the more difficult setting of multidimensional RWRE.…”
Section: Introductionmentioning
confidence: 99%