2010
DOI: 10.1140/epjst/e2010-01280-5
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Convoluted Gauss-Levy distributions and exploding Coulomb clusters

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Cited by 10 publications
(18 citation statements)
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“…Divergent moments of Lévy statistics and Lévy motion seem to stay in conflict with energetic and thermodynamics of the stochastic differential equation of the Langevin type 23,44,57,58 . Yet, accumulating evidence shows that Markovian Lévy flights (LFs) with distribution of jumps emerging from the generalized version of the central limit theorem are well suited representations of complex phenomena, to name just a few recent applications of LFs in description of mental searches 61 , analysis of free neutron output in a fusion experiment with a deuteron plasma 56 , investigations of generegulatory networks 62 or examination of self-regulatory motion of insects 63 .…”
Section: Discussionmentioning
confidence: 99%
“…Divergent moments of Lévy statistics and Lévy motion seem to stay in conflict with energetic and thermodynamics of the stochastic differential equation of the Langevin type 23,44,57,58 . Yet, accumulating evidence shows that Markovian Lévy flights (LFs) with distribution of jumps emerging from the generalized version of the central limit theorem are well suited representations of complex phenomena, to name just a few recent applications of LFs in description of mental searches 61 , analysis of free neutron output in a fusion experiment with a deuteron plasma 56 , investigations of generegulatory networks 62 or examination of self-regulatory motion of insects 63 .…”
Section: Discussionmentioning
confidence: 99%
“…Among various problems addressed in the field of Lévy-noise driven dynamics is the origin of superdiffusive transport in momentum space investigated in a number of studies [8][9][10][11]. In particular, based on the Langevin model with linear friction proportional to velocity and non-Gaussian noise, superdiffusive transport in velocity space for a magnetized plasma has been analyzed [8].…”
Section: Introductionmentioning
confidence: 99%
“…Since the Langevin Equation (25) is linear, its solution depends linearly on two statistically independent noises and the corresponding probability distribution function (p(x, t)) of the dynamic variable (x(t)) attains the convoluted form of two Lévy PDFs with the stability indices α = 1 and α = 2. The corresponding characteristic function is expressed by a product p(k, t) = e ikµ(t)−σ 2 (t)|k| 2 −γ(t)|k| , (26) and fulfills [56,70,71] the generalized Smoluchowski-Fokker-Planck equation…”
Section: Linear Response and Fluctuation-dissipation Relationship Undmentioning
confidence: 99%