AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (228.2 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Gradient estimates in generalized Orlicz spaces for quasilinear elliptic equations via extrapolation

Ruimin Wu1( )Yinsheng Jiang2Liyuan Wang3
Mathematics Teaching Department, Lanzhou Technology and Business College, Gansu, MO 730101, China
College of Mathematics and Systems Science, Xinjiang University, Urumqi, MO 830046, China
Lanzhou University of Technology, Lanzhou, MO 730050, China
Show Author Information

Abstract

The gradient estimates in the generalized Orlicz space for weak solutions of a class of quasi-linear elliptic boundary value problems are obtained using the modern technique of extrapolation. The coefficients are assumed to have small BMO seminorms, and the boundary of the domain is sufficiently flat in the sense of Reifenberg. As a corollary, we apply our results to the variable Lebesgue spaces.

CLC number: 35R35, 42B20, 46E30

References

【1】
【1】
 
 
AIMS Mathematics
Pages 24153-24161

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wu R, Jiang Y, Wang L. Gradient estimates in generalized Orlicz spaces for quasilinear elliptic equations via extrapolation. AIMS Mathematics, 2023, 8(10): 24153-24161. https://doi.org/10.3934/math.20231231

72

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 22 April 2023
Revised: 26 July 2023
Accepted: 26 July 2023
Published: 15 October 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)