Abstract:Recently, the Navier-Stokes-Voight (NSV) model of viscoelastic incompressible fluid has been proposed as a regularization of the 3D Navier-Stokes equations for the purpose of direct numerical simulations. In this work we prove that the global attractor of the 3D NSV equations, driven by an analytic forcing, consists of analytic functions. A consequence of this result is that the spectrum of the solutions of the 3D NSV system, lying on the global attractor, have exponentially decaying tail, despite the fact tha… Show more
“…The estimates of the fractal and Hausdorff dimensions of the global attractor were later improved in [33], where also an upper bound on the number of asymptotic determining modes of the solutions was provided. Concerning the regularity of the attractor, it can be proved to be as smooth as the forcing term f permits, and even real analytic, whenever f is analytic as well [32].…”
Section: Lemma 33mentioning
confidence: 99%
“…Moreover, the robust analytical properties of the 3D NSV model ensure the computability of solutions and the stability of numerical schemes. Finally, there is evidence that the 3D NSV with a small regularization parameter enjoys similar statistical properties as the 3D NSE [32,44]. In this connection, understanding the long-time behavior of solutions to the 3D NSV equation is crucial.…”
ABSTRACT. We investigate the long-term behavior, as a certain regularization parameter vanishes, of the three-dimensional Navier-Stokes-Voigt model of a viscoelastic incompressible fluid. We prove the existence of global and exponential attractors of optimal regularity. We then derive explicit upper bounds for the dimension of these attractors in terms of the three-dimensional Grashof number and the regularization parameter. Finally, we also prove convergence of the (strong) global attractor of the 3D Navier-Stokes-Voigt model to the (weak) global attractor of the 3D Navier-Stokes equation. Our analysis improves and extends recent results obtained by Kalantarov and Titi in [33].
“…The estimates of the fractal and Hausdorff dimensions of the global attractor were later improved in [33], where also an upper bound on the number of asymptotic determining modes of the solutions was provided. Concerning the regularity of the attractor, it can be proved to be as smooth as the forcing term f permits, and even real analytic, whenever f is analytic as well [32].…”
Section: Lemma 33mentioning
confidence: 99%
“…Moreover, the robust analytical properties of the 3D NSV model ensure the computability of solutions and the stability of numerical schemes. Finally, there is evidence that the 3D NSV with a small regularization parameter enjoys similar statistical properties as the 3D NSE [32,44]. In this connection, understanding the long-time behavior of solutions to the 3D NSV equation is crucial.…”
ABSTRACT. We investigate the long-term behavior, as a certain regularization parameter vanishes, of the three-dimensional Navier-Stokes-Voigt model of a viscoelastic incompressible fluid. We prove the existence of global and exponential attractors of optimal regularity. We then derive explicit upper bounds for the dimension of these attractors in terms of the three-dimensional Grashof number and the regularization parameter. Finally, we also prove convergence of the (strong) global attractor of the 3D Navier-Stokes-Voigt model to the (weak) global attractor of the 3D Navier-Stokes equation. Our analysis improves and extends recent results obtained by Kalantarov and Titi in [33].
“…On bounded domains, the NSV equations have been deeply studied. One can see Oskolkov [16], Kalantarov [10,11], Kalantarov et al [12], Kalantarov and Titi [13], García-Luengo et al [9], Gao and Sun [8], Qin et al [18], etc.…”
“…BV-Voigt is a regularization of the BV model based on the Navier-Stokes-Voigt (NSV) equations [5], an incompressible viscoelastic model which is a smooth regularization of Navier-Stokes equations [4]. In [5] it is showed that NSV reduces the stiffness of direct numerical simulations of turbulent flows, with small impact in the energy containing scales.…”
Abstract. In this paper we study a linearized Crank-Nicolson in time and Finite Element in space algorithm for the BV-Voigt regularization model of geophysical flows, which presents interesting advantages from the computational point of view. We prove the algorithm conserves energy and is unconditionally stable and optimally convergent. Lastly, we show that the BV-Voigt model provides accurate solutions and compares favorably with a related regularization model in a coarse mesh, a case in which the BV model solution degenerates.
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