Publication Cover
Applicable Analysis
An International Journal
Volume 100, 2021 - Issue 14
221
Views
5
CrossRef citations to date
0
Altmetric
Articles

Concentrating ground state solutions for quasilinear Schrödinger equations with steep potential well

Pages 3065-3082 | Received 12 Sep 2019, Accepted 12 Dec 2019, Published online: 27 Dec 2019
 

Abstract

We are concerned with the following quasilinear Schrödinger equations (1) Δu+λV(x)u+κ2[Δ(u2)]u=q(x)f(u), xRN,uH1(RN),(1) where N3, λ,κ>0 are parameters, V and f are nonnegative continuous functions, q(x) is a positive bounded function. By using variational methods, we study the existence of positive ground state solutions to problem (1) when Vq and f satisfy some suitable conditions. Furthermore, the concentrating behavior of ground state solutions to problem (1) is proved. We mainly extend the results in Severo, Gloss and da Silva [On a class of quasilinear Schrödinger equations with superlinear or asymptotically linear terms. J Differ Equ. 2017;263:3550–3580], which considered quasilinear Schrödinger equations with positive potential function, to quasilinear Schrödinger equations with steep potential well.

COMMUNICATED BY:

2010 Mathematics Subject Classifications:

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by National Postdoctoral Science Foundation of China [grant number 2019M662833] and Natural Science Foundation of China [grant number 11771166].

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 1,361.00 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.