Application of the Stochastic Mode-reduction Strategy and a Priori Prediction of Symmetry Breaking in Stochastic Systems with Underlying Symmetry

نویسندگان

  • N. BARLAS
  • I. TIMOFEYEV
  • Andrew Majda
چکیده

We consider application of the stochastic mode-reduction strategy to a particular class of coupled models where a part of self-interactions of the slow variables is given by a rotationally invariant gradient system. The stochastic mode-reduction strategy is utilized to derive stochastic reduced models which yield a simple description of the phenomena resulting from breaking the original rotational symmetry. It is demonstrated that the direction of the symmetry breaking can be predicted a priori without any knowledge of the statistical behavior of the fast modes.

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تاریخ انتشار 2009