Abstract
We present a general strategy for proving ergodicity for stochastically forced nonlinear dissipative PDEs. It consists of two main steps. The first step is the reduction to a finite dimensional Gibbsian dynamics of the low modes. The second step is to prove the equivalence between measures induced by different past histories using Girsanov theorem. As applications, we prove ergodicity for Ginzburg-Landau, Kuramoto-Sivashinsky and Cahn-Hilliard equations with stochastic forcing.
Original language | English (US) |
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Pages (from-to) | 1125-1156 |
Number of pages | 32 |
Journal | Journal of Statistical Physics |
Volume | 108 |
Issue number | 5-6 |
DOIs | |
State | Published - 2002 |
All Science Journal Classification (ASJC) codes
- Statistical and Nonlinear Physics
- Mathematical Physics
Keywords
- Ergodicity
- Infinite-dimensional random dynamical systems
- Invariant measures
- Stationary processes
- Stochastic partial differential equations