Ebook: Stochastic PDEs and Dynamics
Author: Boling Guo, Hongjun Gao, Xueke Pu
- Year: 2016
- Publisher: De Gruyter
- Language: English
- epub
This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science.
Contents:
Preliminaries
The stochastic integral and Itô formula
OU processes and SDEs
Random attractors
Applications
Bibliography
Index
- Presents dynamical behaviors of selected stochastic PDEs.
- Focuses on the intersection between probability and PDEs.
- Includes original research results from authors.
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