A fully spectral collocation approximation formulti-dimensional fractional Schrodinger equations

被引:170
作者
Bhrawy, A. H. [1 ,2 ]
Abdelkawy, M. A. [2 ]
机构
[1] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah, Saudi Arabia
[2] Beni Suef Univ, Fac Sci, Dept Math, Bani Suwayf, Egypt
关键词
Fractional Schrodinger equations; Two-dimensional Schrdinger equations; Collocation method; Spectral method; Gauss-type quadrature; NUMERICAL-SOLUTION; ELEMENT METHODS; TRANSPORT;
D O I
10.1016/j.jcp.2015.03.063
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A shifted Legendre collocation method in two consecutive steps is developed and analyzed to numerically solve one-and two-dimensional time fractional Schrodinger equations (TFSEs) subject to initial-boundary and non-local conditions. The first step depends mainly on shifted Legendre Gauss-Lobatto collocation (SL-GL-C) method for spatial discretization; an expansion in a series of shifted Legendre polynomials for the approximate solution and its spatial derivatives occurring in the TFSE is investigated. In addition, the Legendre-Gauss-Lobatto quadrature rule is established to treat the nonlocal conservation conditions. Thereby, the expansion coefficients are then determined by reducing the TFSE with its nonlocal conditions to a system of fractional differential equations (SFDEs) for these coefficients. The second step is to propose a shifted Legendre Gauss-Radau collocation (SL-GR-C) scheme, for temporal discretization, to reduce such system into a system of algebraic equations which is far easier to be solved. The proposed collocation scheme, both in temporal and spatial discretizations, is successfully extended to solve the two-dimensional TFSE. Numerical results are carried out to confirm the spectral accuracy and efficiency of the proposed algorithms. By selecting relatively limited Legendre Gauss-Lobatto and Gauss-Radau collocation nodes, we are able to get very accurate approximations, demonstrating the utility and high accuracy of the new approach over other numerical methods. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:462 / 483
页数:22
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