Pullback V-Attractors of the Stochastic Calmed 3D Navier-Stokes Equations
Abstract
In this paper, we investigate a calmed version of the 3D rotational Navier-Stokes equations driven by additive noise. First, we use the Ornstein-Uhlenbeck process to transform the equation into a random one. By using the Galerkin approximation, we establish the global well-posedness of solutions for the calmed system. Then, we demonstrate the existence of a closed, measurable DV-pullback absorbing set. Finally, by proving the pullback flattening property, we obtain the existence of a DV-pullback attractor in \(V\).
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