Averaging principle of stochastic Burgers equation driven by Lévy processes

Author:

Yue Hongge12ORCID,Xu Yong13ORCID,Wang Ruifang4ORCID,Jiao Zhe1ORCID

Affiliation:

1. School of Mathematics and Statistics, Northwestern Polytechnical University 1 , Xi’an 710072, China

2. School of Mathematics and Statistics, Ningxia University 2 , Yinchuan, 750021, China

3. MOE Key Laboratory for Complexity Science in Aerospace, Northwestern Polytechnical University 3 , Xi’an 710072, China

4. School of Mathematical Sciences, Shanxi University 4 , Taiyuan, 0300062, China

Abstract

We are concerned about the averaging principle for the stochastic Burgers equation with slow-fast time scale. This slow-fast system is driven by Lévy processes. Under some appropriate conditions, we show that the slow component of this system strongly converges to a limit, which is characterized by the solution of stochastic Burgers equation whose coefficients are averaged with respect to the stationary measure of the fast-varying jump-diffusion. To illustrate our theoretical result, we provide some numerical simulations.

Publisher

AIP Publishing

Subject

Mathematical Physics,Statistical and Nonlinear Physics

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