Langevin and Fokker-Planck equations and their generalizations : descriptions and solutions
Language: English Publication details: World Scientific 2018 SingaporeDescription: xii, 195pISBN:- 9789813228405
- 530.13 K979l
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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PK Kelkar Library, IIT Kanpur | General Stacks | 530.13 K979l (Browse shelf(Opens below)) | Checked out to Sanatan Halder (S1910987200) | 25/07/2025 | A183591 |
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530.13 K951s2 V.2 STATISTICAL PHYSICS II | 530.13 K967A ACIOMATICS OF CALSSICAL STATISTICAL MECHANICS | 530.13 K968s Statistical mechanics for engineers | 530.13 K979l Langevin and Fokker-Planck equations and their generalizations | 530.13 K998C CHAOS AND STATISTICAL METHODS | 530.13 L231G2 A GUIDE TO MONTE CARLO SIMULATIONS IN STATISTICAL PHYSICS | 530.13 L231g4 A guide to Monte Carlo simulations in statistical physics |
This invaluable book provides a broad introduction to a rapidly growing area of nonequilibrium statistical physics. The first part of the book complements the classical book on the Langevin and Fokker-Planck equations (H. Risken, The Fokker-Planck Equation: Methods of Solution and Applications (Springer, 1996)). Some topics and methods of solutions are presented and discussed in details which are not described in Risken's book, such as the method of similarity solution, the method of characteristics, transformation of diffusion processes into the Wiener process in different prescriptions, harmonic noise and relativistic Brownian motion. Connection between the Langevin equation and Tsallis distribution is also discussed.
Due to the growing interest in the research on the generalized Langevin equations, several of them are presented. They are described with some details.
Recent research on the integro-differential Fokker-Planck equation derived from the continuous time random walk model shows that the topic has several aspects to be explored. This equation is worked analytically for the linear force and the generic waiting time probability distribution function. Moreover, generalized Klein-Kramers equations are also presented and discussed. They have the potential to be applied to natural systems, such as biological systems.
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