Linearly Implicit Conservative Schemes for the Nonlocal Schrödinger Equation

This paper introduces two high-accuracy linearly implicit conservative schemes for solving the nonlocal Schrödinger equation, employing the extrapolation technique. These schemes are based on the generalized scalar auxiliary variable approach and the symplectic Runge–Kutta method. By integrating these advanced methods, the proposed schemes aim to significantly enhance computational accuracy and efficiency, while maintaining the essential conservative properties necessary for accurate physical modeling. This offers a structured approach to handle auxiliary variables, ensuring stability and conservation, while the symplectic Runge–Kutta method provides a robust framework with high accuracy. Together, these techniques offer a powerful and reliable approach for researchers dealing with complex quantum mechanical systems described by the nonlocal Schrödinger equation, ensuring both accuracy and stability in their numerical simulations.

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Journal
Mathematics
Published
2024-10-24
DOI
https://doi.org/10.3390/math12213339
Primary Topic
Advanced Mathematical Physics Problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Linearly Implicit Conservative Schemes for the Nonlocal Schrödinger Equation

Mingfa Fei, Yutong Zhang, Bin Li
Mathematics
Advanced Mathematical Physics Problems
article

Linearly Implicit Conservative Schemes for the Nonlocal Schrödinger Equation

Mingfa Fei, Yutong Zhang, Bin Li
article en

Abstract

This paper introduces two high-accuracy linearly implicit conservative schemes for solving the nonlocal Schrödinger equation, employing the extrapolation technique. These schemes are based on the generalized scalar auxiliary variable approach and the symplectic Runge–Kutta method. By integrating these advanced methods, the proposed schemes aim to significantly enhance computational accuracy and efficiency, while maintaining the essential conservative properties necessary for accurate physical modeling. This offers a structured approach to handle auxiliary variables, ensuring stability and conservation, while the symplectic Runge–Kutta method provides a robust framework with high accuracy. Together, these techniques offer a powerful and reliable approach for researchers dealing with complex quantum mechanical systems described by the nonlocal Schrödinger equation, ensuring both accuracy and stability in their numerical simulations.

MathematicsVol. 12(21)
Changsha University (CN), Applied Mathematics (United States) (US), University of Pennsylvania (US), Xuchang University (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 69%
Advanced Mathematical Physics Problems
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