2010
DOI: 10.1214/09-aihp332
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Averaged large deviations for random walk in a random environment

Abstract: In his 2003 paper, Varadhan proves the averaged large deviation principle for the mean velocity of a particle taking a nearest-neighbor random walk in a uniformly elliptic i.i.d. environment on Z d with d ≥ 1, and gives a variational formula for the corresponding rate function Ia. Under Sznitman's transience condition (T), we show that Ia is strictly convex and analytic on a non-empty open set A, and that the true velocity of the particle is an element (resp. in the boundary) of A when the walk is non-nestling… Show more

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Cited by 14 publications
(26 citation statements)
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“…See the proofs of Lemmas 6 and 12 of [21]. In particular, the desired lower bound for the smallest eigenvalue of H a is evident from Eq.…”
Section: Reducing To a Fractional Moment Estimatementioning
confidence: 97%
“…See the proofs of Lemmas 6 and 12 of [21]. In particular, the desired lower bound for the smallest eigenvalue of H a is evident from Eq.…”
Section: Reducing To a Fractional Moment Estimatementioning
confidence: 97%
“…This picture agrees with known results. It was indeed shown in [37][38][39] that the annealed and quenched large deviations rate functions of an unbiased lattice RW, respectively defined as I a (| u|) := − lim t→∞ ln Q(t u,t) t , and…”
Section: Main Analysismentioning
confidence: 99%
“…(ii) I a is strictly convex and analytic on an open set A a containing ξ o (see [13,23]); (c) if the walk is nestling, then N a is a line segment containing the origin that can extend in one or both directions (see [22]); it cannot extend in both directions when d = 2 (see [30]) or when d ≥ 5 (see [1]); (d) if the walk is nestling, but (T,û) is satisfied for someû ∈ S d−1 , then:…”
Section: 5mentioning
confidence: 99%
“…(i) the origin is an endpoint of N a (see [20]); (ii) I a is strictly convex and analytic on an open set A a (see [23]);…”
Section: 5mentioning
confidence: 99%
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