Quenched large deviations for diffusions in a random Gaussian shear flow drift
classification
🧮 math.PR
keywords
largedeviationsrandomdriftflowgaussianprinciplequenched
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We prove a full large deviations principle in large time, for a diffusion process with random drift V, which is a centered Gaussian shear flow random field. The large deviations principle is established in a ``quenched'' setting, i.e. is valid almost surely in the randomness of V.
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