期刊
ADVANCES IN DIFFERENCE EQUATIONS
卷 2021, 期 1, 页码 -出版社
SPRINGER
DOI: 10.1186/s13662-021-03233-y
关键词
Averaging principle; Stochastic differential equations; Mean-square convergence; G-Brownian motion
资金
- National Natural Science Foundation of China [11401261]
This paper develops the averaging principle for stochastic differential equations driven by G-Brownian motion with non-Lipschitz coefficients. By proving the convergence properties of the solutions, it demonstrates that the solution of the averaged G-SDEs converges to that of the standard one, and provides two examples for illustration.
In this paper, we aim to develop the averaging principle for stochastic differential equations driven by G-Brownian motion (G-SDEs for short) with non-Lipschitz coefficients. By the properties of G-Brownian motion and stochastic inequality, we prove that the solution of the averaged G-SDEs converges to that of the standard one in the mean-square sense and also in capacity. Finally, two examples are presented to illustrate our theory.
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