Fokker-Planck Equation  

In General > s.a. stochastic processes.
* Idea: An equation describing stochastic diffusion processes, or the time evolution of a non-equilibrium probability distribution.
* More general formulation: The continuity equation

t = – a J a

for the stochastic evolution of a system on a manifold M of states, where is a scalar density interpreted as probability density, and Ja = vab ( Kab) the probability current, with

va := limt to 0 t–1 p(; x, t) a d ,

Kab := limt to 0 t–1 p(; x, t) a b d

(we assume that similar expressions with more 's vanish), p(; x, ) being the probability that the system will evolve from x to x + in a time ; Notice that v does not transform like a vector.
* Applications: A central equation in the theory of brownian motion; Also used, e.g., by astronomers to find the general evolution of the orbits of stars in clusters or galaxies, and by population geneticists to describe random genetic drift.

References > s.a. brownian motion; phase transitions.
@ Texts: Papoulis 65; Soize 94 [non-linear]; Risken 96.
@ General articles: Desloge AJP(63); Miyazawa JMP(99), JMP(00) [Green function]; Wei JPA(00) [approach to solution]; Kleinert AP(01) [from the forward-backward path integral]; Sparber et al mp/02 [quantum, long-time behavior]; Lo PLA(03) [propagator]; Oron & Horwitz mp/03 [covariant Brownian motion]; Lubashevsky et al mp/06 [boundary conditions].
@ Non-linear: Donoso et al JPA(99) [short-time propagator]; Kiessling & Lancellotti mp/04-in; Plyukhin PhyA(05) [higher-order corrections]; Donoso et al JPA(05), Donoso & Salgado JPA(06) [propagator].
@ Quantum version: Neumann & Sparber a0707-CMS [for bosons and fermions].
@ Other generalized: Schertzer et al JMP(01)m.AP/04 [fractional]; Chavanis PhyA(04) [generalized thermodynamics]; Khan & Reynolds PhyA(05) [generalized Langevin dynamics]; Rybicki ApJ(06)ap/05 [for resonance line scattering].

Online Resources > see Physics Daily page.


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