57
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Symmetry results of solutions for elliptic systems with linear couplings

, , &
Pages 816-827 | Received 11 Mar 2022, Accepted 18 Dec 2022, Published online: 04 Jan 2023
 

Abstract

This paper is devoted to study the symmetry and monotonicity of positive solutions for linear coupling elliptic systems in a ball in RN. Using the Alexandrov–Serrin method of moving planes combined with the strong maximum principle, we prove that the solutions of elliptic systems with linear couplings in a ball are symmetric w.r.t. 0 and radially decreasing. For our problems, the tangential gradient of solutions and the coupling conditions play important roles in using the moving plane method. Our results on the symmetry of solutions are further research based on the existence of solutions in [Citation1].

AMS Subject Classifications:

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is partially supported by NSFC(No. 11501178) and China Scholarship Council (No. 202108410329), Natural Science Foundation of Guangdong Province (No. 2021A1515010292, 2022A1515011358), Innovative team project of ordinary universities of Guangdong Province(No. 2020KCXTD024), Characteristic Innovative Project from Guangdong Provincial Department of Education (No. 2020KTSCX134), Shaoguan Science and Technology Project (No. 210726224533614, 210726214533591, 220606164534145).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 875.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.