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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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 |
work_keys_str_mv |
AT jurgengeiser comparisonofsplittingmethodsfordeterministicstochasticgrosspitaevskiiequation AT amirbahadornasari comparisonofsplittingmethodsfordeterministicstochasticgrosspitaevskiiequation |
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