Mixed finite elements for the Gross–Pitaevskii eigenvalue problem: <i>a priori</i> error analysis and guaranteed lower energy bound
Abstract 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.
Authors
- Yizhou Liang (ORCID: https://orcid.org/0000-0001-6318-1708)
- Daniel Peterseim (ORCID: https://orcid.org/0000-0001-7213-556X)
- Moritz Hauck (ORCID: https://orcid.org/0000-0003-4817-9727)
- Dietmar Gallistl (ORCID: https://orcid.org/0000-0001-8954-4175)
Institutions
- University of Augsburg (DE)
- Ernst Abbe University of Applied Sciences Jena (DE)
- Chalmers University of Technology (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- IMA Journal of Numerical Analysis
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1093/imanum/drae048
- Citations
- 4
- Primary Topic
- Numerical methods for differential equations
- Type
- article
- Field-Weighted Citation Impact
- 2.93
Funders
- Alexander von Humboldt-Stiftung
- H2020 European Research Council