2020
DOI: 10.1016/j.jmaa.2019.123472
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Local and global strong solutions to the stochastic incompressible Navier-Stokes equations in critical Besov space

Abstract: Considering the stochastic Navier-Stokes system in R d forced by a multiplicative white noise, we establish the local existence and uniqueness of the strong solution when the initial data take values in the critical spaceḂ d p −1 p,r (R d ). The proof is based on the contraction mapping principle, stopping time and stochastic estimates. Then we prove the global existence of strong solutions in probability if the initial data are sufficiently small, which contain a class of highly oscillating "large" data.

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Cited by 8 publications
(9 citation statements)
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“…J. U. Kim [27] obtained the local and global existence of the strong solution for the three-dimensional stochastic Navier-Stokes equations when the initial data are in H α+1/2 (R 3 ), 0 < α < 1 2 . Recently, we obtain a similar result in the space [15]. On the other hand, many authors considered the martingale solutions to the stochastic Navier-Stokes equations, see e.g.…”
supporting
confidence: 76%
“…J. U. Kim [27] obtained the local and global existence of the strong solution for the three-dimensional stochastic Navier-Stokes equations when the initial data are in H α+1/2 (R 3 ), 0 < α < 1 2 . Recently, we obtain a similar result in the space [15]. On the other hand, many authors considered the martingale solutions to the stochastic Navier-Stokes equations, see e.g.…”
supporting
confidence: 76%
“…where α ∈ (0, 1]. Following [6], we introduce the definition of local and global strong solutions for the equation (1.1).…”
Section: Resultsmentioning
confidence: 99%
“…Example 1 Here, we give an example to show that the noise coefficient in the above theorems is non-empty. Motivated by [6], let M > 0 be arbitrary, we take…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Given a positive number ε, there exists a positive number δ such that if (2) The standard Besov spaces are used throughout the paper (cf. [12]).…”
Section: Introductionmentioning
confidence: 99%