Publication Cover
Applicable Analysis
An International Journal
Volume 97, 2018 - Issue 2
338
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

Unconditional error analysis of Galerkin FEMs for nonlinear fractional Schrödinger equation

, &
Pages 295-315 | Received 24 Jul 2016, Accepted 15 Nov 2016, Published online: 28 Nov 2016
 

Abstract

In this paper, we propose a conservative linearized Crank–Nicolson Galerkin FEMs for the nonlinear fractional Schrödinger equation. We construct5 a time-discrete system, to which, the mass conservation, semi-discrete error estimates and the suitable regularity of the numerical solution are obtained. With the spatial direction discreted by FEMs, the fully discrete conservative linearized finite element scheme is presented. Moreover, by a new error splitting technique, an unconditional -norm error estimates are derived by the boundedness of the fully-discrete numerical solution in -norm. Finally, some numerical examples are given to confirm the theoretical results.

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by NSF of China [grant number 11371157] and Natural Science Foundation of Anhui Higher Education Institutions of China [grant number KJ2016A492].

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.