4.4 Article

On the averaging principle for SDEs driven by G-Brownian motion with non-Lipschitz coefficients

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

  1. National Natural Science Foundation of China [11401261]

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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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