2015
DOI: 10.1515/fca-2015-0059
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Diffusion and Fokker-Planck-Smoluchowski Equations with Generalized Memory Kernel

Abstract: We consider anomalous stochastic processes based on the renewal continuous time random walk model with different forms for the probability density of waiting times between individual jumps. In the corresponding continuum limit we derive the generalized diffusion and Fokker-PlanckSmoluchowski equations with the corresponding memory kernels. We calculate the qth order moments in the unbiased and biased cases, and demonstrate that the generalized Einstein relation for the considered dynamics remains valid. The re… Show more

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Cited by 97 publications
(107 citation statements)
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References 112 publications
(138 reference statements)
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“…In long times, Equations (34) and (35) imply an anomalous behaviour, i.e., x 2 ∼ t α . This long time behaviour occurs to Caputo and Riemann-Liouville operator [38,43]. For the appropriate limit of parameters τ and τ in Equation (34), to τ → 0, we obtain the standard fractional diffusion.…”
Section: Diffusive Aspects Of Non-singular Diffusion Equationsmentioning
confidence: 82%
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“…In long times, Equations (34) and (35) imply an anomalous behaviour, i.e., x 2 ∼ t α . This long time behaviour occurs to Caputo and Riemann-Liouville operator [38,43]. For the appropriate limit of parameters τ and τ in Equation (34), to τ → 0, we obtain the standard fractional diffusion.…”
Section: Diffusive Aspects Of Non-singular Diffusion Equationsmentioning
confidence: 82%
“…[38], in which L{K(t)} = ∞ 0 e −st K(t)dt = K L (s) denote the Laplace transform of memory kernel and τ is characteristic time. For K(t) = δ(t), we recover the Brownian motion.…”
Section: Montroll-weiss Formalismmentioning
confidence: 99%
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“…We further introduce a GLE with a tempered regularized Prabhakar friction term and analyze the normalized displacement correlation function in case of harmonic potential. Tempered fractional equations nowadays attract more and more attention due to their application in different systems [7][8][9][10]. This paper is organized as follows.…”
Section: ẍ (T) + γẋ(T) = ξ(T)ẋ(t) = V(t)mentioning
confidence: 99%