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Title: Mathematical theory and numerical methods for Bose-Einstein condensation
Authors: Bao, W. 
Cai, Y.
Keywords: Bose-Einstein condensation
Error estimate
Gross-Pitaevskii equation
Ground state
Numerical method
Quantized vortex
Issue Date: 2013
Source: Bao, W., Cai, Y. (2013). Mathematical theory and numerical methods for Bose-Einstein condensation. Kinetic and Related Models 6 (1) : 1-135. ScholarBank@NUS Repository.
Abstract: In this paper, we mainly review recent results on mathematical theory and numerical methods for Bose-Einstein condensation (BEC), based on the Gross-Pitaevskii equation (GPE). Starting from the simplest case with one-component BEC of the weakly interacting bosons, we study the reduction of GPE to lower dimensions, the ground states of BEC including the existence and uniqueness as well as nonexistence results, and the dynamics of GPE including dynamical laws, well-posedness of the Cauchy problem as well as the finite time blow-up. To compute the ground state, the gradient flow with discrete normalization (or imaginary time) method is reviewed and various full discretization methods are presented and compared. To simulate the dynamics, both finite difference methods and time splitting spectral methods are reviewed, and their error estimates are briefly outlined. When the GPE has symmetric properties, we show how to simplify the numerical methods. Then we compare two widely used scalings, i.e. physical scaling (commonly used) and semiclassical scaling, for BEC in strong repulsive interaction regime (Thomas-Fermi regime), and discuss semiclassical limits of the GPE. Extensions of these results for one-component BEC are then carried out for rotating BEC by GPE with an angular momentum rotation, dipolar BEC by GPE with long range dipole-dipole interaction, and two-component BEC by coupled GPEs. Finally, as a perspective, we show briefly the mathematical models for spin-1 BEC, Bogoliubov excitation and BEC at finite temperature. © American Institute of Mathematical Sciences.
Source Title: Kinetic and Related Models
ISSN: 19375093
DOI: 10.3934/krm.2013.6.1
Appears in Collections:Staff Publications

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