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Book ChapterDOI

Fokker-Planck Equation

Hannes Risken
- pp 63-95
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TLDR
In this paper, an equation for the distribution function describing Brownian motion was first derived by Fokker [11] and Planck [12] and it is shown that expectation values for nonlinear Langevin equations (367, 110) are much more difficult to obtain.
Abstract
As shown in Sects 31, 2 we can immediately obtain expectation values for processes described by the linear Langevin equations (31, 31) For nonlinear Langevin equations (367, 110) expectation values are much more difficult to obtain, so here we first try to derive an equation for the distribution function As mentioned already in the introduction, a differential equation for the distribution function describing Brownian motion was first derived by Fokker [11] and Planck [12]: many review articles and books on the Fokker-Planck equation now exist [15 – 15]

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Citations
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Multiple-scale stochastic processes: Decimation, averaging and beyond

TL;DR: In this article, the authors introduce the asymptotic methods that form the basis of this procedure and discuss their application to a series of physical, biological and chemical examples, and discuss recent applications of these techniques to the thermodynamics of small systems and their interpretation in terms of informationtheoretic concepts.
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Langevin model for real-time Brownian dynamics of interacting nanodefects in irradiated metals

TL;DR: In this article, the dynamics of microstructural evolution in these materials are strongly influenced by long-range elastic interactions between mobile nanoscale radiation defects, and simulations, performed using an algorithm where nanoscales radiation defects are treated as interacting Langevin particles, are able to match and explain the real-time dynamics of nanodefects observed in in situ electron microscope experiments.
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Supply networks: Instabilities without overload

TL;DR: The stability and bifurcations in oscillator models describing electric power grids are analyzed and it is demonstrated that these networks exhibit instabilities without overloads.
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Diffusion and trapping in heterogeneous media: An inhomogeneous continuous time random walk approach

TL;DR: In this article, the equivalence of the widely used time-domain random walk (TDRW) scheme and spatially inhomogeneous CTRW was demonstrated and a TDRW method for heterogeneous diffusion under spatially variable multirate mass transfer properties was developed.
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Gauge-Independent Scales Related to the Standard Model Vacuum Instability

TL;DR: In this article, the authors provide several gauge-invariant scales related with the Higgs potential instability, which is not gauge invariant and suffers from a gauge-fixing uncertainty of up to 2 orders of magnitude.
References
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Journal ArticleDOI

Fluctuations and Irreversible Processes

TL;DR: In this paper, the probability of a given succession of (nonequilibrium) states of a spontaneously fluctuating thermodynamic system is calculated, on the assumption that the macroscopic variables defining a state are Gaussian random variables whose average behavior is given by the laws governing irreversible processes.
Journal ArticleDOI

The Radiation Theories of Tomonaga, Schwinger, and Feynman

TL;DR: In this article, a unified development of the subject of quantum electrodynamics is outlined, embodying the main features both of the Tomonaga-Schwinger and of the Feynman radiation theory.
Journal ArticleDOI

Covariant formulation of non-equilibrium statistical thermodynamics

TL;DR: In this paper, the diffusion matrix of the Fokker Planck equation is used as a contravariant metric tensor in phase space, and the covariance of the Langevin-equations and the fokker equation is demonstrated.
Journal ArticleDOI

Approximation of the Linear Boltzmann Equation by the Fokker-Planck Equation

TL;DR: In this article, the first two terms of the Kramers-Moyal expansion of the Fokker-Planck equation were used to approximate the linear Boltzmann integral operator.