4.7 Article

Scalar Auxiliary Variable/Lagrange multiplier based pseudospectral schemes for the dynamics of nonlinear Schrodinger/Gross-Pitaevskii equations

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 437, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2021.110328

Keywords

Nonlinear Schrodinger equation; Gross-Pitaevskii equation; Spectral method; Scalar auxiliary variables; Lagrange multiplier approach; Bose-Einstein condensation

Funding

  1. NSF [DMS-2012585]
  2. AFOSR [FA9550-20-1-0309]
  3. INRIA through project BEC2HPC
  4. Science and Technology Development Foundation of Sichuan University [2020SCUNL110]
  5. National Natural Science Foundation of China [11971335]

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The paper proposes two linear implicit pseudo-spectral schemes for simulating the dynamics of general nonlinear Schrodinger/Gross-Pitaevskii equations, based on the SAV and LagM approaches. The SAV scheme preserves a modified total energy, while the LagM scheme can exactly preserve mass and original total energy. Each scheme has its own advantages in solving nonlinear algebraic systems and conserving errors.
In this paper, based on the Scalar Auxiliary Variable (SAV) approach [44,45] and a newly proposed Lagrange multiplier (LagM) approach [22,21] originally constructed for gradient flows, we propose two linear implicit pseudo-spectral schemes for simulating the dynamics of general nonlinear Schrodinger/Gross-Pitaevskii equations. Both schemes are of spectral/second-order accuracy in spatial/temporal direction. The SAV based scheme preserves a modified total energy and approximate the mass to third order (with respect to time steps), while the LagM based scheme could preserve exactly the mass and original total energy. A nonlinear algebraic system has to be solved at every time step ford the LagM based scheme, hence the SAV scheme is usually more efficient than the LagM one. On the other hand, the LagM scheme may outperform the SAV ones in the sense that it conserves the original total energy and mass and usually admits smaller errors. Ample numerical results are presented to show the effectiveness, accuracy and performance of the proposed schemes. (c) 2021 Elsevier Inc. All rights reserved.

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