Abstract
Multiscale stochastic partial differential equations arise as models for various complex systems. An averaging principle for a class of stochastic partial differential equations with slow and fast time scales is established. Under suitable conditions, it is shown that the slow component converges to an effective dynamical system in the mean-square uniform sense.
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