A gradient flow model for the Gross--Pitaevskii problem: Mathematical and numerical analysis
This paper concerns the mathematical and numerical analysis of the L2 normalized gradient flow model for the Gross--Pitaevskii eigenvalue problem, which has been widely used to design the numerical schemes for the computation of the ground state of the Bose--Einstein condensate. We first provide the mathematical analysis for the model, including the well-posedness and the asymptotic behavior of the solution. Then we propose a normalized implicit-explicit fully discrete numerical scheme for the gradient flow model, and give some numerical analysis for the scheme, including the well-posedness and optimal convergence of the approximation. Some numerical experiments are provided to validate the theory.
Authors
- Jing Wu (ORCID: https://orcid.org/0000-0003-3009-4434)
- Xiaoying Dai
- Tianyang Chu
- Aihui Zhou
Publication Details
- Journal
- ESAIM. Mathematical modelling and numerical analysis
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1051/m2an/2026034
- Primary Topic
- Cold Atom Physics and Bose-Einstein Condensates
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China