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Global-in-time probabilistically strong and Markov solutions to stochastic 3D Navier–Stokes equations: Existence and nonuniqueness

Martina Hofmanová, Rongchan Zhu, Xiangchan Zhu

2023The Annals of Probability32 citationsDOI

Abstract

We are concerned with the three-dimensional incompressible Navier–Stokes equations driven by an additive stochastic forcing of trace class. First, for every divergence free initial condition in L2 we establish existence of infinitely many global-in-time probabilistically strong and analytically weak solutions, solving one of the open problems in the field. This result, in particular, implies nonuniqueness in law. Second, we prove nonuniqueness of the associated Markov processes in a suitably chosen class of analytically weak solutions satisfying a relaxed form of an energy inequality. Translated to the deterministic setting, we obtain nonuniqueness of the associated semiflows.

Topics & Concepts

MathematicsMarkov chainApplied mathematicsClass (philosophy)TRACE (psycholinguistics)Markov processDivergence (linguistics)Mathematical analysisComputer scienceArtificial intelligenceLinguisticsStatisticsPhilosophyNavier-Stokes equation solutionsStochastic processes and financial applicationsFluid Dynamics and Turbulent Flows