Reviews of Modern Physics · 1966 · 333 citations · 26 references
EngineeringPhysicsDynamical SystemsStochastic ModelingStochastic ProcessesDiffusion ProcessesStatistical MechanicsStochastic Differential EquationsDampingFokker - Planck EquationFokker-planck EquationsFokker-planck TheoryPopulation FluctuationsSpin DiffusionStationary NoiseStochastic Population Fluctuations
A Langevin theory for linear and nonlinear, stationary and nonstationary, processes is developed and compared with Markoff methods. For short correlation times ${\ensuremath{\tau}}_{c}$, we find the Markoff process that is a good approximation to the Langevin process for $\ensuremath{\Delta}t>{\ensuremath{\tau}}_{c}$. Conversely, given the diffusion coefficients ${D}_{n}$ of a Markoff process, we find the moments (to all orders) of the Langevin forces that lead to the same process---exactly for homogeneous noise, approximately for the general nonlinear case. The techniques are illustrated by applications to Fokker-Planck processes, homogeneous noise with linear damping, the one-dimensional impurity band, spin diffusion, and population fluctuations.
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Mathematical Analysis of Random Noise
S. O. Rice · Bell System Technical Journal · 1944 · 5.5K citations
Mathematical Analysis of Random Noise
S. O. Rice · Bell System Technical Journal · 1945 · 2.9K citations
Generalized Cumulant Expansion Method
Ryogo Kubo · Journal of the Physical Society of Japan · 1962 · 1.8K citations