求解Schrödinger方程的混合方法:有限差分法和基于四次b样条的微分求积分法

Ali Başhan
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引用次数: 14

摘要

本文采用有限差分法和基于四次b样条的微分求积法(FDM-DQM)求解非线性Schr¨odinger (NLS)方程。为此,首先将Schrödinger方程转换为耦合实值微分方程,然后采用一种特殊的经典有限差分方法,即Crank-Nicolson格式对其进行离散化。在此之后,鲁宾和格雷夫斯的线性化技术和微分正交法被应用。偏微分方程变成了代数方程组。接下来,为了能够检验新混合方法的准确性,误差范数L2和L?并计算了两个最小不变量I1和I2。此外,还给出了这些不变量的相对变化。最后,将新得到的数值结果与文献中一些相似参数下的数值结果进行了比较。这一比较清楚地表明,目前使用的方法,即FDM-DQM,是一种有效的、高效的数值格式,使我们能够提出求解范围广泛的非线性方程。
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A mixed methods approach to Schrödinger equation: Finite difference method and quartic B-spline based differential quadrature method
The present manuscript include, finite difference method and quartic B-spline based differential quadrature method (FDM-DQM) to obtain the numerical solutions for the nonlinear Schr¨odinger (NLS) equation. For this purpose, firstly Schrödinger equation has been converted into coupled real value differential equations and then they have been discretized using special type of classical finite difference method namely, Crank-Nicolson scheme. After that, Rubin and Graves linearization techniques have been utilized and differential quadrature method has been applied. So, partial differential equation turn into algebraic equation system. Next, in order to be able to test the accuracy of the newly hybrid method, the error norms L2 and L? as well as the two lowest invariants I1 and I2 have been calculated. Besides those, the relative changes in those invariants have been given. Finally, the newly obtained numerical results have been compared with some of those available in the literature for similar parameters. This comparison has clearly indicated that the currently utilized method, namely FDM-DQM, is an effective and efficient numerical schemeand allowed us to propose to solve a wide range of nonlinear equations.
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来源期刊
CiteScore
3.30
自引率
6.20%
发文量
13
审稿时长
16 weeks
期刊最新文献
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