Averaging Principle for Stochastic Tidal Dynamics Equations

Averaging Principle for Stochastic Tidal Dynamics Equations

Year:    2023

Author:    Xiuwei Yin, Guangjun Shen, Jiang-Lun Wu

Communications in Mathematical Analysis and Applications, Vol. 2 (2023), Iss. 1 : pp. 1–20

Abstract

In this paper, we aim to establish a strong averaging principle for stochastic tidal dynamics equations. The averaging principle is an effective method for studying the qualitative analysis of nonlinear dynamical systems. Under suitable assumptions, utilizing Khasminkii’s time discretization approach, we derive a strong averaging principle showing that the solution of stochastic tidal dynamics equations can be approximated by solutions of the system of averaged stochastic equations in the sense of convergence in mean square.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cmaa.2022-0019

Communications in Mathematical Analysis and Applications, Vol. 2 (2023), Iss. 1 : pp. 1–20

Published online:    2023-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    20

Keywords:    Stochastic tidal dynamics equations averaging principle strong convergence.

Author Details

Xiuwei Yin

Guangjun Shen

Jiang-Lun Wu