Higher Order Time Discretization Method for the Stochastic Stokes Equations with Multiplicative Noise

被引:3
作者
Vo L. [1 ]
机构
[1] Department of Mathematics, Statistics and Computer Science, The University of Illinois at Chicago, Chicago, 60607, IL
关键词
Error estimates; Itô stochastic integral; Milstein scheme; Mixed finite element method; Multiplicative noise; Stochastic Stokes equations; Wiener process;
D O I
10.1007/s10915-023-02375-3
中图分类号
学科分类号
摘要
In this paper, we propose a new approach for the time-discretization of the incompressible stochastic Stokes equations with multiplicative noise. Our new strategy is based on the classical Milstein method from stochastic differential equations. We use the energy method for its error analysis and show a strong convergence order of nearly 1 for both velocity and pressure approximations. The proof is based on a new Hölder continuity estimate of the velocity solution. While the errors of the velocity approximation are estimated in the standard L2 - and H1 -norms, the pressure errors are carefully analyzed in a special norm because of the low regularity of the pressure solution. In addition, a new interpretation of the pressure solution, which is very useful in computation, is also introduced. Numerical experiments are also provided to validate the error estimates and their sharpness. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
引用
收藏
相关论文
共 50 条
[41]   Stochastic Resonance of Fractional-Order System with Multiplicative Noise and Random Delay [J].
Zhu J. ;
Jin W. ;
Guo F. .
Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2021, 56 (02) :363-370
[42]   On the 3D Navier-Stokes equations with a linear multiplicative noise and prescribed energy [J].
Berkemeier, Stefanie Elisabeth .
JOURNAL OF EVOLUTION EQUATIONS, 2023, 23 (02)
[43]   Rate of convergence to equilibrium of fractional driven stochastic differential equations with some multiplicative noise [J].
Fontbona, Joaquin ;
Panloup, Fabien .
ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, 2017, 53 (02) :503-538
[44]   OPTIMAL BILINEAR CONTROL OF NONLINEAR STOCHASTIC SCHRTMDINGER EQUATIONS DRIVEN BY LINEAR MULTIPLICATIVE NOISE [J].
Barbu, Viorel ;
Roeckner, Michael ;
Zhang, Deng .
ANNALS OF PROBABILITY, 2018, 46 (04) :1957-1999
[45]   The finite speed of propagation for solutions to nonlinear stochastic wave equations driven by multiplicative noise [J].
Barbu, Viorel ;
Roeckner, Michael .
JOURNAL OF DIFFERENTIAL EQUATIONS, 2013, 255 (03) :560-571
[46]   RATE OF CONVERGENCE TO EQUILIBRIUM OF FRACTIONAL DRIVEN STOCHASTIC DIFFERENTIAL EQUATIONS WITH ROUGH MULTIPLICATIVE NOISE [J].
Deya, Aurelien ;
Panloup, Fabien ;
Tindel, Samy .
ANNALS OF PROBABILITY, 2019, 47 (01) :464-518
[47]   Optimal Filtering for Time-Varying Stochastic System With Delay and Multiplicative Noise [J].
Sun, Yawen ;
Kong, Shulan ;
Cui, Guozeng ;
Zhang, Yaxin .
IEEE ACCESS, 2019, 7 :44239-44246
[48]   H∞ control and filtering of discrete-time stochastic systems with multiplicative noise [J].
Gershon, E ;
Shaked, U ;
Yaesh, I .
AUTOMATICA, 2001, 37 (03) :409-417
[49]   A regularity theory for stochastic partial differential equations driven by multiplicative space-time white noise with the random fractional Laplacians [J].
Han, Beom-Seok .
STOCHASTICS AND PARTIAL DIFFERENTIAL EQUATIONS-ANALYSIS AND COMPUTATIONS, 2021, 9 (04) :940-983
[50]   A regularity theory for stochastic partial differential equations driven by multiplicative space-time white noise with the random fractional Laplacians [J].
Beom-Seok Han .
Stochastics and Partial Differential Equations: Analysis and Computations, 2021, 9 :940-983