2016
DOI: 10.1016/j.physa.2015.10.046
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The influence of the finite velocity on spatial distribution of particles in the frame of Levy walk model

Abstract: Levy walk at the finite velocity is considered. To analyze the spatial and temporal characteristics of this process, the method of moments has been used. The asymptotic distributions of the moments (at t → ∞) have been obtained for N dimensional case where the free path of particles demonstrates the power-law distribution p ξ (x) = αx α 0 x −α−1 , x → ∞, 0 < α < 2. The three regimes of distribution have been distinguished: ballistic, diffusion and asymptotic. Introduction of the finite velocity requires consid… Show more

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Cited by 7 publications
(8 citation statements)
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“…Thus, the transport properties strongly depend on the turbulence features and the adopted numerical representation. The implications of superdiffusion for particle acceleration and transport at shocks have recently been considered by Perri & Zimbardo (2012b); Zimbardo & Perri (2013); Lazarian & Yan (2014), and these works have attracted considerable theoretical interest (Uchaikin et al 2015;Rocca et al 2015Rocca et al , 2016Saenko 2016). Nondiffusive processes can be described by several tools, including Lévy walks, Lévy flights, and fractional derivatives (e.g., Perrone et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the transport properties strongly depend on the turbulence features and the adopted numerical representation. The implications of superdiffusion for particle acceleration and transport at shocks have recently been considered by Perri & Zimbardo (2012b); Zimbardo & Perri (2013); Lazarian & Yan (2014), and these works have attracted considerable theoretical interest (Uchaikin et al 2015;Rocca et al 2015Rocca et al , 2016Saenko 2016). Nondiffusive processes can be described by several tools, including Lévy walks, Lévy flights, and fractional derivatives (e.g., Perrone et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Let us consider the case 0 < α < 1. In this case, the Laplace transform of the density (23) has the form (see [33]):…”
Section: Asymptotic Solution To a Kinetic Equationmentioning
confidence: 99%
“…In the case 1 < α < 2, the distribution (23) has a mathematical expectation. In view of the fact that the Laplace transform of density (23) takes the form (see [33]):…”
Section: Asymptotic Solution To a Kinetic Equationmentioning
confidence: 99%
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