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Stochastic PDEs and Dynamics

by Boling Guo , Hongjun Gao , Xueke Pu

๐Ÿ“– The Scoop

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 Itรด formula
OU processes and SDEs
Random attractors
Applications
Bibliography
Index

Genre: Mathematics / Probability & Statistics / Stochastic Processes (fancy, right?)

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