Large deviations principle for the invariant measures of the 2D stochastic Navier-Stokes equations on a torus
classification
🧮 math.PR
keywords
invariantlargemeasuresnavier-stokesprincipletorusadditiveassociated
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We prove here the validity of a large deviation principle for the family of invariant measures associated to a two dimensional Navier-Stokes equation on a torus, perturbed by a smooth additive noise.
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