2022
DOI: 10.1137/20m1379836
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On Asymptotic Preserving Schemes for a Class of Stochastic Differential Equations in Averaging and Diffusion Approximation Regimes

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Cited by 13 publications
(54 citation statements)
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“…On top of that, we study the properties of the stochastic Poisson systems (see Subsection 2.5) and stochastic Poisson integrators (see Subsection 3.3) in a multiscale regime, namely when the Wiener processes are approximated by a smooth noise. The proposed splitting schemes are asymptotic preserving in this diffusion approximation regime, in the sense of the notion recently introduced in [11]. This property, which is not satisfied by standard integrators, is illustrated with numerical experiments.…”
Section: Introductionmentioning
confidence: 84%
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“…On top of that, we study the properties of the stochastic Poisson systems (see Subsection 2.5) and stochastic Poisson integrators (see Subsection 3.3) in a multiscale regime, namely when the Wiener processes are approximated by a smooth noise. The proposed splitting schemes are asymptotic preserving in this diffusion approximation regime, in the sense of the notion recently introduced in [11]. This property, which is not satisfied by standard integrators, is illustrated with numerical experiments.…”
Section: Introductionmentioning
confidence: 84%
“…Proposition 2 fits in the class of Wong-Zakai approximation results (where a smooth approximation of a Wiener noise leads to a SDE driven by Stratonovich noise). We also refer to [11,Proposition 2.6] for a similar statement (with m = 1), and references therein for ideas of proof. Note that the weak error estimate can be obtained using a variant of the proof of [11,Proposition 2.4], decomposing the error in terms of solutions of Kolmogorov and Poisson equations.…”
Section: Stochastic Poisson Systems Obtained By Diffusion Approximationmentioning
confidence: 98%
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