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A Conservative Scheme with Optimal Error Estimates for a Multidimensional Space–Fractional Gross–Pitaevskii Equation

机译:具有多维空间 - 分数粗糙度分布式公式的最佳误差估计的保守方案

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摘要

The present work departs from an extended form of the classical multi-dimensional Gross–Pitaevskii equation, which considers fractional derivatives of the Riesz type in space, a generalized potential function and angular momentum rotation. It is well known that the classical system possesses functionals which are preserved throughout time. It is easy to check that the generalized fractional model considered in this work also possesses conserved quantities, whence the development of conservative and efficient numerical schemes is pragmatically justified. Motivated by these facts, we propose a finite-difference method based on weighted-shifted Grünwald differences to approximate the solutions of the generalized Gross–Pitaevskii system. We provide here a discrete extension of the uniform Sobolev inequality to multiple dimensions, and show that the proposed method is capable of preserving discrete forms of the mass and the energy of the model. Moreover, we establish thoroughly the stability and the convergence of the technique, and provide some illustrative simulations to show that the method is capable of preserving the total mass and the total energy of the generalized system.
机译:本工作从扩展的经典多维gitoseevskii方程中脱颖而出,这将考虑空间中的riesz类型的分数衍生物,广义潜在函数和角动量旋转。众所周知,经典系统具有在整个时间内保存的功能。很容易检查在本工作中考虑的广义分数模型还具有保守的数量,因此保守和有效的数值方案的发展是务实的合理的。这些事实的动机,我们提出了一种基于加权移位的Grünwald差异的有限差分方法,以估计广义粗加利亚诗思科技系统的解决方案。我们在此提供了多个尺寸的均匀SoboLev不等式的离散延伸,并且表明该方法能够保留模型的质量和能量的离散形式。此外,我们完全建立了该技术的稳定性和收敛性,并提供了一些说明性模拟,以表明该方法能够保留总质量和广义系统的总能量。

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