2017
DOI: 10.1016/j.jde.2017.05.002
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Strong convergence rate of finite difference approximations for stochastic cubic Schrödinger equations

Abstract: In this paper, we derive a strong convergence rate of spatial finite difference approximations for both focusing and defocusing stochastic cubic Schrödinger equations driven by a multiplicative Q-Wiener process. Beyond the uniform boundedness of moments for high order derivatives of the exact solution, the key requirement of our approach is the exponential integrability of both the exact and numerical solutions. By constructing and analyzing a Lyapunov functional and its discrete correspondence, we derive the … Show more

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Cited by 65 publications
(78 citation statements)
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“…As a consequence, the solution of (1) is shown to be exponentially stable. On the other hand, we show the exponential integrability properties of exact and numerical solutions by an exponential integrability lemma established in [9,Corollary 2.4]; see also [11,Lemma 3.1]. This type of exponential integrability is also useful to get the strongly continuous dependence on initial data of both exact and numerical solutions and to deduce Gaussian tail estimations of these solutions (see e,.g.…”
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confidence: 69%
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“…As a consequence, the solution of (1) is shown to be exponentially stable. On the other hand, we show the exponential integrability properties of exact and numerical solutions by an exponential integrability lemma established in [9,Corollary 2.4]; see also [11,Lemma 3.1]. This type of exponential integrability is also useful to get the strongly continuous dependence on initial data of both exact and numerical solutions and to deduce Gaussian tail estimations of these solutions (see e,.g.…”
mentioning
confidence: 69%
“…In [15] and [4,16] it was proved that the stochastic NLS equation admits a unique solution in H and H 1 , respectively. Recently, [8,11] gave the global well-posedness of the one-dimensional stochastic NLS equation in H 2 . In this paper, we focus on strong and weak approximations of the following one-dimensional damped stochastic nonlinear equation with multiplicative noise:…”
mentioning
confidence: 99%
“…Moreover, we can get the following exponential integrability of u, which is useful for studying the continuous dependence on initial data and noise, exponential tail estimate of the solution, strong and weak convergence rates of numerical approximations (see e.g. [7,8,9]). Again by the Gagliardo-Nirenberg inequality (6) and the Sobolev embedding theorem, we obtain…”
Section: Global Existence Of Solutions For Critical Stochastic Nls Eqmentioning
confidence: 99%
“…with α depending on u 0 , a and Q, we obtain the strong continuous dependence on the initial data in one dimensional case, which is not a trivial property for stochastic partial differential equation with non-global coefficients, see [6,8] and references therein. We would like to mention that this exponential integrability is useful for studying the continuous dependence on noises, exponential tail estimate of the solution, strong and weak convergence rates of numerical approximations, see [6,7,8,9,15] and references therein. Next we consider the influence of damped term and noise on the blow-up.…”
Section: Introductionmentioning
confidence: 99%
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