Lectures on dynamics of stochastic systems /
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés Ruso |
Publicado: |
Burlington, MA :
Elsevier,
2011.
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Edición: | 1. ed. |
Colección: | Elsevier insights.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Part I: Dynamical description of stochastic systems
- 1. Examples, basic problems, peculiar features of solutions
- 2. Solution dependence on problem type, medium parameters, and initial data
- 3. Indicator function and Liouville
- Part II: Statistical description of stochastic systems
- 4. Random quantities, processes, and fields
- 5. Correlation splitting
- 6. General approaches to analyzing stochastic systems
- 7. Stochastic equations with the Markovian fluctuations of
- parameters
- 8. Approximation of Gaussian random field delta-correlated in time
- 9. Methods for solving and analyzing the Fokker-Planck equation
- 10. Some other approximate approaches to the problems of statistical hydrodynamics
- Part III: Examples of coherent phenomena in stochastic dynamic systems
- 11. Passive tracer clustering and diffusion in random hydrodynamic and magnetohydrodynamic flows
- 12. Wave localization in randomly layered media
- 13. Caustic structure of wavefield in random media.