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Three-Dimensional stochastic Navier-Stokes equations with Markov switching

2022/03/28 by Hsu, Po-Han, Sundar, Padmanabhan
#60H15 #76D05 #FOS: Mathematics #Probability (math.PR)

paper · doi:10.48550/arxiv.2203.14442

Abstract

A finite-state Markov chain is introduced in the noise terms of the three-dimensional stochastic Navier-Stokes equations in order to allow for transitions between two types of multiplicative noises. We call such systems as stochastic Navier-Stokes equations with Markov switching. To solve such a system, a family of regularized stochastic systems is introduced. For each such regularized system, the existence of a unique strong solution (in the sense of stochastic analysis) is established by the method of martingale problems and pathwise uniqueness. The regularization is removed in the limit by obtaining a weakly convergent sequence from the family of regularized solutions, and identifying the limit as a solution of the three-dimensional stochastic Navier-Stokes equation with Markov switching.

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