Strong existence and uniqueness of the stationary distribution for a stochastic inviscid dyadic model
classification
🧮 math.PR
math.AP
keywords
strongdistributiondyadicexistenceinviscidmodelstationaryuniqueness
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We consider an inviscid stochastically forced dyadic model, where the additive noise acts only on the first component. We prove that a strong solution for this problem exists and is unique by means of uniform energy estimates. Moreover, we exploit these results to establish strong existence and uniqueness of the stationary distribution.
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