1995
DOI: 10.1007/bf02104513
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Ergodicity of the 2-D Navier-Stokes equation under random perturbations

Abstract: A 2-dimensional Navier-Stokes equation perturbed by a sufficiently distributed white noise is considered. Existence of invariant measures is known from previous works. The aim is to prove uniqueness of the invariant measures, strong law of large numbers, and convergence to equilibrium.

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Cited by 251 publications
(205 citation statements)
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“…The number of determining modes goes to infinity as ν → 0. Previous results on uniqueness of invariant measures [7,8] require that all modes be forced. The second question is whether the condition in Theorem 1.1 is sharp.…”
Section: Discussionmentioning
confidence: 99%
“…The number of determining modes goes to infinity as ν → 0. Previous results on uniqueness of invariant measures [7,8] require that all modes be forced. The second question is whether the condition in Theorem 1.1 is sharp.…”
Section: Discussionmentioning
confidence: 99%
“…In fact, the polynomial mixing of the 2D Navier-Stokes equations driven by compound Poisson processes was treated in [38], but their approach does not apply to our situation as we consider stochastic evolution equation driven by Lévy noise of infinite activity. By adapting the tools for the ergodicity of SPDEs driven by Wiener noise developed in [15,22] and [24], the authors of [19] proved the ergodicity of the 2D Navier-Stokes equations driven by Lévy noise with a non-degenerate Wiener noise. Recently, H. Bessaih and the last two authors proved in [7] the ergodicity of stochastic shell models with tempered stable process.…”
Section: Du(t) + [κAu(t) + B(u(t) U(t))]dtmentioning
confidence: 99%
“…The proof of existence and uniqueness follows the same lines as in [24,Appendix] or [8, Proof of Theorem 4.5]. The estimate (32) can be proved using the same idea as in [8, Proof of (5.5)] or as in [24, Proof of (21)].…”
Section: Lemma 47 For Any X ∈ H and Z ∈ L 4 (0 T ; H ) There Exismentioning
confidence: 99%
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