Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound
Journal article, 2024

We establish an a priori error analysis for the lowest-order Raviart-Thomas finite element discretization of the nonlinear Gross-Pitaevskii eigenvalue problem. Optimal convergence rates are obtained for the primal and dual variables as well as for the eigenvalue and energy approximations. In contrast to conforming approaches, which naturally imply upper energy bounds, the proposed mixed discretization provides a guaranteed and asymptotically exact lower bound for the ground state energy. The theoretical results are illustrated by a series of numerical experiments.

Gross-Pitaevskii eigenvalue problem

lower bounds

a priori error analysis

mixed finite elements

Author

Dietmar Gallistl

Friedrich Schiller University Jena

Moritz Hauck

University of Gothenburg

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Yizhou Liang

Univ Augsburg

Daniel Peterseim

Univ Augsburg

IMA Journal of Numerical Analysis

0272-4979 (ISSN) 1464-3642 (eISSN)

Vol. In Press

Investigation of membrane fouling during cross-flow filtration of wood components

Knut and Alice Wallenberg Foundation, 2019-04-15 -- 2023-11-15.

Knut and Alice Wallenberg Foundation, 2014-03-01 -- 2019-02-28.

Subject Categories

Computational Mathematics

DOI

10.1093/imanum/drae048

More information

Latest update

9/26/2024