2020
DOI: 10.48550/arxiv.2010.09083
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Large fluctuations and transport properties of the Lévy-Lorentz gas

Abstract: The Lévy-Lorentz gas describes the motion of a particle on the real line in the presence of a random array of scattering points, whose distances between neighboring points are heavy-tailed i.i.d. random variables with finite mean. The motion is a continuous-time, constant-speed interpolation of the simple symmetric random walk on the marked points. In this paper we study the large fluctuations of the continuoustime process and the resulting transport properties of the model, both annealed and quenched, confirm… Show more

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Cited by 2 publications
(5 citation statements)
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“…A recent preprint of Zamparo [12] claims the convergence of all quenched moments of X(t)/ √ t, under the additional assumption that the underlying RW is simple and symmetric (implying that X is the bona fide Lévy-Lorentz gas). Recall the notation m q for the q-th absolute moment of the standard Gaussian, cf.…”
Section: Finite-mean Distance Between Targets Quenched Theoremsmentioning
confidence: 99%
See 3 more Smart Citations
“…A recent preprint of Zamparo [12] claims the convergence of all quenched moments of X(t)/ √ t, under the additional assumption that the underlying RW is simple and symmetric (implying that X is the bona fide Lévy-Lorentz gas). Recall the notation m q for the q-th absolute moment of the standard Gaussian, cf.…”
Section: Finite-mean Distance Between Targets Quenched Theoremsmentioning
confidence: 99%
“…Since X(t) is centered and scales like √ t, the probability of such "ballistic events" is expected to be exceedingly small. In [12,Thm. 2.3] it is proved that this probability vanishes like a stretched exponential.…”
Section: Finite-mean Distance Between Targets Quenched Theoremsmentioning
confidence: 99%
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“…All these are processes that have been receiving a surge of attention as they model phenomena of anomalous transport and anomalous diffusion (see e.g. [16,28,3,20,29] for some general or recent references).…”
Section: Introductionmentioning
confidence: 99%