Abstract
The Fokker Planck equation (FPE) , a special type of master equation, is a partial differential equation for time evolution of the PDF that describes Markov processes. A FPE is obtained from a Markov process when the two lowest moments of the jump characteristic of the drift and the fluctuation are given. The diffusion equation and the Smoluchowski equation for Brownian motion we studied fall into this category.
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Further Reading and References
N.G. Van Kampen, Stochastic Processes in Physics and Chemistry, 2nd edn. (Elsevier, North Holland, 2003)
C.W. Gardiner, Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences, 2nd edn. (Springer, 1985)
H. Risken, The Fokker-Planck Equation: Methods of Solution and Applications, 2nd edn. (Springer, Berlin, Heidelberg, New York, 1989)
W. Ebeling, I.M. Sokolov, Statistical Thermodynamics and Stochastic Theory of Nonequilibrium Systems (World Scientific Publishing Co. Pte. Ltd., 1992)
D.T. Gillespie, Markov Processes: An Introduction for Physical Scientists (Academic Press, San Diego, 1992)
R. Kubo, M. Toda, N. Hashitsume, Statistical Physics II, Nonequilibrium Statistical Mechanics, 2nd edn. (Springer, Berlin, Heidelberg, 1991)
R. Zwanzig, Nonequilibrium Statistical Machanics (Oxford University Press, Oxford, 2001)
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Sung, W. (2018). Theory of Markov Processes and the Fokker-Planck Equations. In: Statistical Physics for Biological Matter. Graduate Texts in Physics. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1584-1_15
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DOI: https://doi.org/10.1007/978-94-024-1584-1_15
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