Layer methods for stochastic Navier–Stokes equations using simplest characteristics

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Milstein, G.N. and Tretyakov, M.V. (2016) Layer methods for stochastic Navier–Stokes equations using simplest characteristics. Journal of Computational and Applied Mathematics, 302 . pp. 1-23. ISSN 1879-1778

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Official URL: http://www.sciencedirect.com/science/article/pii/S0377042716300310

Abstract

We propose and study a layer method for stochastic Navier-Stokes equations (SNSE) with spatial periodic boundary conditions and additive noise. The method is constructed using conditional probabilistic representations of solutions to SNSE and exploiting ideas of the weak sense numerical integration of stochastic differential equations. We prove some convergence results for the proposed method including its first mean-square order. Results of numerical experiments on two model problems are presented.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/805583
Keywords:	Navier-Stokes Equations, Oseen-Stokes Equations, Helmholtz-Hodge-Leray Decomposition, Stochastic Partial Differential Equations, Conditional Feynman-Kac Formula, Weak Approximation of Stochastic Differential Equations and Layer Mathods
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number:	10.1016/j.cam.2016.01.051
Depositing User:	Eprints, Support
Date Deposited:	14 Mar 2016 12:06
Last Modified:	04 May 2020 18:06
URI:	https://eprints.nottingham.ac.uk/id/eprint/32272

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