发表状态 | 已发表Published |
题名 | Optimal error analysis of Crank–Nicolson schemes for a coupled nonlinear Schrödinger system in 3D |
作者 | |
发表日期 | 2017 |
发表期刊 | Journal of Computational and Applied Mathematics
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ISSN/eISSN | 0377-0427 |
卷号 | 317页码:685-699 |
摘要 | The paper is concerned with the time step condition of the commonly-used semi-implicit Crank–Nicolson finite difference schemes for a coupled nonlinear Schrödinger system in three dimensional space. We present the optimal L2 error estimate without any restriction on time step, while all previous works require certain time step conditions. Our approach is based on a rigorous analysis in both real and imaginary parts of the energy estimate (inequality) of the error function. Numerical examples for both two-dimensional and three-dimensional models are investigated and numerical results illustrate our theoretical analysis. © 2016 Elsevier B.V. |
关键词 | Coupled nonlinear Schrödinger system Semi-implicit Crank–Nicolson schemes Unconditionally optimal error estimate |
DOI | 10.1016/j.cam.2016.12.004 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Mathematics |
WOS类目 | Mathematics, Applied |
WOS记录号 | WOS:000394628800044 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/3236 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Wang, Jilu |
作者单位 | 1.Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong 2.Department of Scientific Computing, Florida State University, Tallahassee, 32306, United States |
推荐引用方式 GB/T 7714 | Sun, Weiwei,Wang, Jilu. Optimal error analysis of Crank–Nicolson schemes for a coupled nonlinear Schrödinger system in 3D[J]. Journal of Computational and Applied Mathematics, 2017, 317: 685-699. |
APA | Sun, Weiwei, & Wang, Jilu. (2017). Optimal error analysis of Crank–Nicolson schemes for a coupled nonlinear Schrödinger system in 3D. Journal of Computational and Applied Mathematics, 317, 685-699. |
MLA | Sun, Weiwei,et al."Optimal error analysis of Crank–Nicolson schemes for a coupled nonlinear Schrödinger system in 3D". Journal of Computational and Applied Mathematics 317(2017): 685-699. |
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