带波算子的非线性薛定谔方程时间分割法的改进误差范围

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-13 DOI:10.1002/num.23139
Jiyong Li
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引用次数: 0

摘要

本文研究了带波算子的非线性薛定谔方程(NLSW)的时间分裂傅立叶伪谱(TSFP)方法。NLSW 的非线性强度用 。具体来说,我们提出了一个与 NLSW 等价的耦合系统,然后将 TSFP 方法应用于该系统。作为一种几何优势,TSFP 方法具有时间对称性,并保留了离散质量。该方法提供了严格的收敛性分析,从而在取决于解的平滑度的长时域内建立了改进的误差边界。与传统分析得出的误差边界相比,我们的误差边界得到了极大的改善,尤其是当问题呈现弱非线性时,即 .在误差分析中,我们结合经典数值分析工具,采用正则补偿振荡(RCO)技术详细研究了误差积累过程,进而建立了改进的误差边界。数值实验支持了我们的理论分析。此外,数值结果还显示了离散能量的长期稳定性。
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Improved error bounds on a time splitting method for the nonlinear Schrödinger equation with wave operator
In this article, we study a time splitting Fourier pseudo‐spectral (TSFP) method for the nonlinear Schrödinger equation with wave operator (NLSW). The nonlinear strength of the NLSW is characterized by . Specifically, we propose a coupled system which is equivalent to the NLSW and then apply the TSFP method to this system. As a geometric advantage, the TSFP method has time symmetry and conserves the discrete mass. Rigorous convergence analysis is provided to establish improved error bounds at up to the long‐time at where depends on the smoothness of the solution. Compared with the error bounds obtained by traditional analysis, our error bounds are greatly improved, especially when the problem presents weak nonlinearity, i.e. . In error analysis, combining with classical numerical analysis tools, we adopt the regularity compensation oscillation (RCO) technique to study the error accumulation process in detail and then establish the improved error bounds. The numerical experiments support our theoretical analysis. In addition, the numerical results show the long‐term stability of discrete energy.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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