2012
DOI: 10.4310/cms.2012.v10.n2.a8
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Well-posedness and large deviations for the stochastic primitive equations in two space dimensions

Abstract: The two dimensional primitive equations with multiplicative noise are studied in this paper. The existence and uniqueness of solutions in a fixed probability space and a Wentzell-Freidlin type large deviation principle for small multiplicative noise by weak convergence method are obtained.

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Cited by 23 publications
(16 citation statements)
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“…The authors use continuous martingale theory and stopping time arguments to treat the primitive equations with physical boundary conditions without the above-mentioned cancellation by establishing stronger convergence of the Galerkin approximations. Furthermore, a large deviation principle [20] and a central limit theorem [29] are known to hold.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…The authors use continuous martingale theory and stopping time arguments to treat the primitive equations with physical boundary conditions without the above-mentioned cancellation by establishing stronger convergence of the Galerkin approximations. Furthermore, a large deviation principle [20] and a central limit theorem [29] are known to hold.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Concerning the exponential behavior of SPEs, Medjo 42 established the stability result for SPEs when the noise is Brownian motion. Gao and Sun 43‐45 also studied the long‐time behavior and asymptotic and regular properties of SPEs. It is pointed out in Majda et al and Palmer 46,47 that studies from climate show that the complex multiscale nature of the earth's climate system results in many uncertainties that should be accounted for in the basic dynamical models of atmospheric and oceanic processes.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, they established a large deviation principle for this model in [6]. For 2D stochastic primitive equations, Gao and Sun [9] obtained its global well-posedness and Freidlin-Wentzell's large deviations.…”
Section: Introductionmentioning
confidence: 99%