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| Material Type: | Internet resource |
|---|---|
| Document Type: | Book, Internet Resource |
| All Authors / Contributors: |
M I Freĭdlin; Alexander D Wentzell |
| ISBN: | 0387983627 9780387983622 |
| OCLC Number: | 38409445 |
| Notes: | "[Based on the] original Russian edition: Fluktuat︠s︡ii v dinamicheskikh sistemakh pod deĭstviem malykh sluchaĭnykh vozmushcheniĭ, Nauka : Moscow, 1979"--T.p. verso. |
| Description: | xi, 430 p. : ill. ; 24 cm. |
| Contents: | Ch. 1. Random Perturbations -- Ch. 2. Small Random Perturbations on a Finite Time Interval -- Ch. 3. Action Functional -- Ch. 4. Gaussian Perturbations of Dynamical Systems: Neighborhood of an Equilibrium Point -- Ch. 5. Perturbations Leading to Markov Processes -- Ch. 6. Markov Perturbations on Large Time Intervals -- Ch. 7. The Averaging Principle. Fluctuations in Dynamical Systems with Averaging -- Ch. 8. Random Perturbations of Hamiltonian Systems -- Ch. 9. Stability Under Random Perturbations -- Ch. 10. Sharpenings and Generalizations. |
| Series Title: | Grundlehren der mathematischen Wissenschaften, 260 |
| Responsibility: | M.I. Freidlin, A.D. Wentzell ; translated by Joseph Szücs. |
| More information: |
Abstract:
This volume is concerned with various kinds of limit theorems for stochastic processes defined as a result of random perturbations of dynamical systems, especially with the long-time behavior of the perturbed system. In particular, exit problems, metastable states, optimal stabilization, and asymptotics of stationary distributions are also carefully considered.
The authors' main tools are the large deviation theory the centred limit theorem for stochastic processes, and the averaging principle - all presented in great detail. The results allow for explicit calculations of the asymptotics of many interesting characteristics of the perturbed system.
Most of the results are closely connected with PDEs, and the authors' approach presents a powerful method for studying the asymptotic behavior of the solutions of initial-boundary value problems for corresponding PDEs.
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