1999
DOI: 10.1103/physrevlett.82.3563
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Anomalous Diffusion and Relaxation Close to Thermal Equilibrium: A Fractional Fokker-Planck Equation Approach

Abstract: We introduce a fractional Fokker-Planck equation describing the stochastic evolution of a particle under the combined influence of an external, nonlinear force and a thermal heat bath. For the forcefree case, a subdiffusive behavior is recovered. The equation is shown to obey generalized Einstein relations, and its stationary solution is the Boltzmann distribution. The relaxation of single modes is shown to follow a Mittag-Leffler decay. We discuss the example of a particle in a harmonic potential.

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Cited by 749 publications
(692 citation statements)
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References 34 publications
(44 reference statements)
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“…After findingQ(s) andP (s) explicitly we can return to method A and use Eqs. (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26) in order to write down the final solution.…”
Section: B Methods Bmentioning
confidence: 99%
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“…After findingQ(s) andP (s) explicitly we can return to method A and use Eqs. (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26) in order to write down the final solution.…”
Section: B Methods Bmentioning
confidence: 99%
“…The use of fractional-differential equations like Eqs. (8,11) became quite common in recent years [8,22], especially in the context of anomalous diffusion [8,23,24]. Several other fractional oscillator equations were considered in the literature [25,26,27] and general solutions for fractional-differential equations of the type Eq.…”
Section: Stat-mech] 26 Feb 2008mentioning
confidence: 99%
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“…3.2.3, p. 52 for which x 2 ∝ t α with α = 1. Various authors have attempted to describe such motion with fractional Fokker-Planck operators (Metzler et al, 1999;Carreras et al, 1999b).…”
Section: Long-time Tails and Socmentioning
confidence: 99%
“…17,28,29 Subdiffusive dynamics of an overdamped coordinate can be described using a fractional Fokker-Planck equation for Ornstein-Uhlenbeck process, developed by Metzler, Barkai, and Klafter. 30,31,32 The one-dimensional FFPE for the distribution W R (X 1 ,t 1 ;X 0 ,0) subject to the initial condition…”
Section: The Modelmentioning
confidence: 99%