scispace - formally typeset
Book ChapterDOI

Fokker-Planck Equation

Hannes Risken
- pp 63-95
Reads0
Chats0
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]

read more

Citations
More filters
Journal ArticleDOI

Distribution of the time between maximum and minimum of random walks.

TL;DR: It is demonstrated that the distribution of τ for Brownian motion is valid for discrete-time random walks with n steps and with a finite jump variance, in the limit n→∞.
Posted Content

Work, entropy production, and thermodynamics of information under protocol constraints

TL;DR: This work shows that for any operator $\phi$ over distributions that obeys the Pythagorean theorem from information geometry and commutes with the set of available dynamical generators, the contraction of KL divergence provides a non-negative lower bound on EP.
Journal ArticleDOI

Approximate Moment Methods for Population Balance Equations in Particulate and Bioengineering Processes

TL;DR: A concise overview of the most prominent approximate moment methods is given in this paper, where a specific class of solution algorithms, so-called moment methods, is based on the reduction of complex models to a set of ordinary differential equations characterizing dynamics of integral quantities of the number density distribution function.
Journal ArticleDOI

Cluster approximations for infection dynamics on random networks.

TL;DR: This paper constructs an uncorrelated triplet approximation that captures the behavior of the system in a region of parameter space where the pair approximation fails to give a good quantitative or even qualitative agreement.
Posted Content

Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians

TL;DR: A general modelling framework based on Langevin dynamics is developed, which allows us to test the influence of two distinct types of ingredients on mobility: reactive or context-dependent factors, modelled by means of a force field generated by attraction points in a given spatial configuration and active or inherent factors,modelled from intrinsic movement patterns of the subjects.
References
More filters
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.