Convergence problem of reduced Ostrovsky equation in Fourier–Lebesgue spaces with rough data and random data

Author:

Yan Xiangqian1,Yan Wei1,Zhao Yajuan2,Yang Meihua3

Affiliation:

1. School of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, P. R. China

2. Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450001, P. R. China

3. School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China

Abstract

This paper is devoted to studying the convergence problem of free reduced Ostrovsky equation in Fourier–Lebesgue spaces with rough data and the stochastic continuity of free reduced Ostrovsky equation in Fourier–Lebesgue spaces with random data. On the one hand, we establish the pointwise convergence related to the free reduced Ostrovsky equation in Fourier–Lebesgue spaces [Formula: see text] with rough data. In particular, we show that [Formula: see text] is the necessary condition for the maximal function estimate in [Formula: see text], which means that [Formula: see text] is optimal for rough data. On the other hand, we present the stochastic continuity of free reduced Ostrovsky equation at [Formula: see text] in Fourier–Lebesgue spaces [Formula: see text] with random data.

Funder

the Young core Teachers program of Henan province

the education department of Henan Province

the Natural Science Foundation of Henan Province

National Natural Science Foundation of China

Publisher

World Scientific Pub Co Pte Ltd

Subject

Modeling and Simulation

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