A gradient flow model for the Gross-Pitaevskii problem: mathematical and numerical analysis

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Authors: Tianyang Chu, Xiaoying Dai, Jing Wu, Aihui Zhou
Cited by: 0

Abstract

This paper concerns the mathematical and numerical analysis of the L 2 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.

Fields of Study & Subjects

Cold Atom Physics and Bose-Einstein Condensates Advanced Mathematical Physics Problems Numerical methods for differential equations

Publication details

Journal / source
ESAIM Mathematical Modelling and Numerical Analysis
Volume
60
Issue
3
Pages
1297–1326
Publication date
17 April 2026
Language
EN