Symmetry Breaking in a random passive scalar
ORAL
Abstract
We consider the evolution of a decaying passive scalar in the presence of a gaussian white noise fluctuating shear flow. We focus on deterministic initial data and establish the short, intermediate, and long time symmetry properties of the evolving point wise probability measure for the random passive scalar. Analytical results are compared directly to Monte Carlo simulations. Time permitting we will compare the predictions to experimental observations.
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Authors
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Zeliha Kilic
University of North Carolina at Chapel Hill
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Richard Mclaughlin
University of North Carolina - Chapel Hill, University of North Carolina at Chapel Hill
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Roberto Camassa
University of North Carolina, University of North Carolina - Chapel Hill, University of North Carolina at Chapel Hill