Abstract
The present work introduces and investigates an explicit time discretization scheme, called the projected Euler method, to numerically approximate random periodic solutions of semi-linear SDEs under non-globally Lipschitz conditions. The existence of the random periodic solution is demonstrated as the limit of the pull-back of the discretized SDE. Without relying on a priori high-order moment bounds of the numerical approximations, the mean square convergence rate is proved to be order 0.5 for SDEs with multiplicative noise and order 1 for SDEs with additive noise. Numerical examples are also provided to validate our theoretical findings.
Original language | English |
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Place of Publication | Ithaca, NY |
Number of pages | 25 |
DOIs | |
Publication status | Published - 23 Jun 2024 |
Funding
This work was supported by Natural Science Foundation of China (12071488, 12371417, 11971488). YW would like to acknowledge the support of the Royal Society through the International Exchanges scheme IES\R3\233115.
Keywords
- Projected Euler method
- random periodic solution
- stochastic differential equations
- pull-back
- mean square convergence order