spectral collocation method
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2022 ◽  
Vol 7 (4) ◽  
pp. 5670-5689
Author(s):  
Xiaojun Zhou ◽  
◽  
Yue Dai

<abstract><p>This paper analyzes the coupled system of nonlinear fractional differential equations involving the caputo fractional derivatives of order $ \alpha\in(1, 2) $ on the interval (0, T). Our method of analysis is based on the reduction of the given system to an equivalent system of integral equations, then the resulting equation is discretized by using a spectral method based on the Legendre polynomials. We have constructed a Legendre spectral collocation method for the coupled system of nonlinear fractional differential equations. The error bounds under the $ L^2- $ and $ L^{\infty}- $norms is also provided, then the theoretical result is validated by a number of numerical tests.</p></abstract>


2022 ◽  
Vol 31 (2) ◽  
pp. 899-915
Author(s):  
Amr M. S. Mahdy ◽  
Mohamed S. Mohamed ◽  
Ahoud Y. Al Amiri ◽  
Khaled A. Gepreel

2021 ◽  
Vol 5 (3) ◽  
pp. 131
Author(s):  
Hari M. Srivastava ◽  
Abedel-Karrem N. Alomari ◽  
Khaled M. Saad ◽  
Waleed M. Hamanah

Fractional derivative models involving generalized Mittag-Leffler kernels and opposing models are investigated. We first replace the classical derivative with the GMLK in order to obtain the new fractional-order models (GMLK) with the three parameters that are investigated. We utilize a spectral collocation method based on Legendre’s polynomials for evaluating the numerical solutions of the pr. We then construct a scheme for the fractional-order models by using the spectral method involving the Legendre polynomials. In the first model, we directly obtain a set of nonlinear algebraic equations, which can be approximated by the Newton-Raphson method. For the second model, we also need to use the finite differences method to obtain the set of nonlinear algebraic equations, which are also approximated as in the first model. The accuracy of the results is verified in the first model by comparing it with our analytical solution. In the second and third models, the residual error functions are calculated. In all cases, the results are found to be in agreement. The method is a powerful hybrid technique of numerical and analytical approach that is applicable for partial differential equations with multi-order of fractional derivatives involving GMLK with three parameters.


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