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2015
DOI: 10.31390/cosa.9.4.04
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Large deviations for stochastic tidal dynamics equation

Abstract: Abstract. In this work, we study the large deviation principle of WentzellFreidlin type for the stochastic tidal dynamics equation with multiplicative noise in an open domain. The results are established by using a generalization of the Minty Browder method and also exploiting an inherent control theoretic structure of large deviation theory.

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Cited by 8 publications
(12 citation statements)
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“…Our proof is based on Theorem 4.4 of Brzeźniak et al [9] and Theorem 3.2 of Suvinthra et al [47]. Let us consider the function ψ(t) ∈ H 1 (−δ, T + δ) with ψ(0) = 1.…”
Section: Energy Estimates and Existence Resultsmentioning
confidence: 97%
“…Our proof is based on Theorem 4.4 of Brzeźniak et al [9] and Theorem 3.2 of Suvinthra et al [47]. Let us consider the function ψ(t) ∈ H 1 (−δ, T + δ) with ψ(0) = 1.…”
Section: Energy Estimates and Existence Resultsmentioning
confidence: 97%
“…Since H −1 (Ω) is a separable, reflexive Banach space, it should be noted that f (•) = 1 2 • 2 H −1 is Gateaux differentiable. Note that the third condition in (37) gives (−∆) −1 U = −p. Thus from (37), it follows that the adjoint variables (p, ϕ) satisfy the following adjoint system in the abstract form:…”
Section: Definition 31 (Admissible Class) the Admissible Classmentioning
confidence: 99%
“…The authors in [3] developed a numerical approach for solving the tidal dynamics problem, based on the splitting methods and the optimal control theory. The global solvability results for stochastic perturbations in bounded and unbounded domains, and asymptotic analysis of solutions is available in [2,16,24,37,40] etc.…”
mentioning
confidence: 99%
“…see [20], [30], and the references therein. We are interested in the LDP for the family u ε = G ε (W (•)).…”
Section: The Ldpmentioning
confidence: 99%
“…In [6], Budhiraja and Dupuis established a variational representation for positive functionals of Brownian motion applicable to the study of large deviations for a variety of differential equations. It is consequential to exert the variational representation technique to study the large deviations for solution processes of SDEs (see [26] and [30]) and indeed the main result to be established in this paper relies on this technique.…”
Section: Introductionmentioning
confidence: 99%