Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation

In this paper, we discuss the different splitting approaches to numerically solve<br />the Gross–Pitaevskii equation (GPE). The models are motivated from spinor Bose–Einstein<br />condensate (BEC). This system is formed of coupled mean-field equations, which are based on<br />coupl...

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Main Authors: Jürgen Geiser, Amirbahador Nasari
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/24/3/76
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spelling doaj-e9679f8bd6b844baa034e801fd6bc45a2020-11-24T21:24:08ZengMDPI AGMathematical and Computational Applications2297-87472019-08-012437610.3390/mca24030076mca24030076Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii EquationJürgen Geiser0Amirbahador Nasari1The Institute of Theoretical Electrical Engineering, Ruhr University of Bochum, Universitätsstrasse 150, D-44801 Bochum, GermanyDepartment of Civil and Environmental Engineering, Ruhr University of Bochum, Universitätsstrasse 150, D-44801 Bochum, GermanyIn this paper, we discuss the different splitting approaches to numerically solve<br />the Gross–Pitaevskii equation (GPE). The models are motivated from spinor Bose–Einstein<br />condensate (BEC). This system is formed of coupled mean-field equations, which are based on<br />coupled Gross–Pitaevskii equations. We consider conservative finite-difference schemes and spectral<br />methods for the spatial discretisation. Furthermore, we apply implicit or explicit time-integrators and<br />combine these schemes with different splitting approaches. The numerical solutions are compared<br />based on the conservation of the <em>L</em><sub>2</sub>-norm with the analytical solutions. The advantages of the novel<br />splitting methods for large time-domains are based on the asymptotic conservation of the solution of<br />the soliton’s applications. Furthermore, we have the benefit of larger local time-steps and therefore<br />obtain faster numerical schemes.https://www.mdpi.com/2297-8747/24/3/76nonlinear Schrödinger equationGross–Pitaevskii equationBose–Einstein condensatesSpinor systemssplitting methodssplitting spectral methodsconvergence analysisconservation methods
collection DOAJ
language English
format Article
sources DOAJ
author Jürgen Geiser
Amirbahador Nasari
spellingShingle Jürgen Geiser
Amirbahador Nasari
Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
Mathematical and Computational Applications
nonlinear Schrödinger equation
Gross–Pitaevskii equation
Bose–Einstein condensates
Spinor systems
splitting methods
splitting spectral methods
convergence analysis
conservation methods
author_facet Jürgen Geiser
Amirbahador Nasari
author_sort Jürgen Geiser
title Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
title_short Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
title_full Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
title_fullStr Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
title_full_unstemmed Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
title_sort comparison of splitting methods for deterministic/stochastic gross–pitaevskii equation
publisher MDPI AG
series Mathematical and Computational Applications
issn 2297-8747
publishDate 2019-08-01
description In this paper, we discuss the different splitting approaches to numerically solve<br />the Gross–Pitaevskii equation (GPE). The models are motivated from spinor Bose–Einstein<br />condensate (BEC). This system is formed of coupled mean-field equations, which are based on<br />coupled Gross–Pitaevskii equations. We consider conservative finite-difference schemes and spectral<br />methods for the spatial discretisation. Furthermore, we apply implicit or explicit time-integrators and<br />combine these schemes with different splitting approaches. The numerical solutions are compared<br />based on the conservation of the <em>L</em><sub>2</sub>-norm with the analytical solutions. The advantages of the novel<br />splitting methods for large time-domains are based on the asymptotic conservation of the solution of<br />the soliton’s applications. Furthermore, we have the benefit of larger local time-steps and therefore<br />obtain faster numerical schemes.
topic nonlinear Schrödinger equation
Gross–Pitaevskii equation
Bose–Einstein condensates
Spinor systems
splitting methods
splitting spectral methods
convergence analysis
conservation methods
url https://www.mdpi.com/2297-8747/24/3/76
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