Linearly implicit and large time-stepping conservative exponential relaxation schemes for the nonlocal cubic Gross-Pitaevskii equation

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Yayun Fu, Xu Qian, Songhe Song, Dongdong Hu
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引用次数: 0

Abstract

The nonlocal cubic Gross-Pitaevskii equation, in comparison to the cubic Gross-Pitaevskii equation, incorporates a nonlocal diffusion operator and can capture a wider range of practical phenomena. However, this nonlocal formulation significantly increases the computational expenses in numerical simulations, necessitating the development of efficient and accurate time integration schemes. This paper uses the relaxation method to present two linearly implicit conservative exponential schemes for the nonlocal cubic Gross-Pitaevskii equation. One proposed scheme can inherit the discrete energy while the other preserves the mass in the discrete scene. We first apply the Fourier pseudo-spectral method to the equation and derive a conservative semi-discrete system. Then, based on the ideas of the traditional relaxation method, adopting the exponential time difference method to approximate the system in time can lead to an energy-preserving exponential scheme. The mass-preserving scheme is derived by using the integral factor method to discretize the system in the temporal direction. The stability results of the constructed schemes are given. In addition, all schemes are linearly implicit and can be implemented efficiently with a large time step. Finally, numerical results show that both proposed methods are remarkably efficient and have better stability than the original relaxation scheme.

非局部三次Gross-Pitaevskii方程的线性隐式和大时步保守指数松弛格式
与三次Gross-Pitaevskii方程相比,非局部三次Gross-Pitaevskii方程包含了一个非局部扩散算子,可以捕获更广泛的实际现象。然而,这种非局部公式在数值模拟中显著增加了计算费用,需要开发高效、准确的时间积分方案。本文利用松弛法给出了非局部三次Gross-Pitaevskii方程的两种线性隐式保守指数格式。一种方案可以继承离散能量,另一种方案可以保留离散场景中的质量。我们首先将傅里叶伪谱法应用于方程,并推导出一个保守的半离散系统。然后,在传统松弛法思想的基础上,采用指数时差法在时间上逼近系统,得到一种能量守恒的指数格式。采用积分因子法在时间方向上对系统进行离散化,导出了质量保持方案。给出了所构造方案的稳定性结果。此外,所有方案都是线性隐式的,可以在大的时间步长下有效地实现。最后,数值结果表明,两种方法都具有显著的效率和较好的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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