2003
DOI: 10.1590/s0103-97332003000300006
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Variable survival exponents in history-dependent random walks: hard movable reflector

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Cited by 6 publications
(12 citation statements)
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References 21 publications
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“…1 , which follows from (3.6) and(3.8). Thus the scaled and centered random variable (ℓ t − 1)/(1 − λ) has the same symmetric probability density as X t−1 .…”
mentioning
confidence: 84%
“…1 , which follows from (3.6) and(3.8). Thus the scaled and centered random variable (ℓ t − 1)/(1 − λ) has the same symmetric probability density as X t−1 .…”
mentioning
confidence: 84%
“…Numerous authors have considered memory effects in the context of classical random walks [30][31][32][33][34][35][36][37][38], and some steps have also been made in the quantum context [39][40][41], which we build upon.…”
Section: Introductionmentioning
confidence: 99%
“…We use basic tools of first-passage processes to determine the time dependence of the size of the region in which the cookies have been eaten and thence the probability for the walk to first return to the origin. The long-time behavior of the first-passage probability in a closely related model was obtained previously, using quite different methods, in [10,11]. Our approach is also complementary to the tools employed in the probabilistic studies of excited random walks given in Ref.…”
Section: Introductionmentioning
confidence: 63%
“…In the simplest case of the 1-excited walk on the positive half-line, we employed a physical approach, complementary to that of Dickman et al [10,11], to show that the first-passage probability for the walk to hit the origin at time t decays as t −1−q for any q > 0. Thus the 1-excited walk is always recurrent, except for the trivial case of perfect bias p = 1.…”
Section: Discussionmentioning
confidence: 99%
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