posted on 2015-04-01, 10:58authored byEugenie Hunsicker, Hengguang Li, Victor Nistor, Ville Uski
In this article, we consider the problem of optimal approximation of eigenfunctions of Schrödinger operators
with isolated inverse square potentials and of solutions to equations involving such operators. It is known in
this situation that the finite element method performs poorly with standard meshes. We construct an alter-
native class of graded meshes, and prove and numerically test optimal approximation results for the finite
element method using these meshes. Our numerical tests are in good agreement with our theoretical results.
Funding
Contract grant sponsor: Leverhulme Trust (E.H.); contract grant number: J11695
Contract grant sponsor: NSF (H.L.); contract grant number: 1158839
Contract grant sponsor: NSF (V.N.); contract grant numbers: OCI-0749202 and DMS-1016556
History
School
Science
Department
Mathematical Sciences
Published in
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS
Volume
30
Issue
4
Pages
1130 - 1151 (22)
Citation
HUNSICKER, E. ... et al, 2014. Analysis of Schrodinger operators with inverse square potentials II: FEM and approximation of eigenfunctions in the periodic case. Numerical Methods for Partial Differential Equations, 30 (4), pp. 1130 - 1151.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2014
Notes
This is the peer reviewed version of the following article: HUNSICKER, E. ... et al, 2014. Analysis of Schrodinger operators with inverse square potentials II: FEM and approximation of eigenfunctions in the periodic case. Numerical Methods for Partial Differential Equations, 30 (4), pp. 1130 - 1151, which has been published in final form at http://dx.doi.org/10.1002/num.21861 . This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.