Numerical solutions of the Bagley-Torvik equation by using generalized functions with fractional powers of Laguerre polynomials

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Walter De Gruyter Gmbh

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info:eu-repo/semantics/closedAccess

Özet

In this study, a collocation approach is presented to solve Bagley-Torvik equation, which is a class of fractional differential equations. As most fractional differential equations do not have exact analytical solutions, it is needed numerical methods. This study is important because it presents a numerical method for fractional differential equations. The main purpose of this method is to obtain the approximate solution based on Laguerre polynomials of the Bagley-Torvik equation. To date, a collocation method based on the Laguerre polynomials has not been studied for the solutions of the Bagley-Torvik equation. This reveals the novelty of the study. The approximate solution is sought in form of the fractional powers of the Laguerre polynomials. By using the Caputo derivative, the matrix relation is created for term with fractional derivative in the equation. Similarly, the matrix relation of second derivative is computed in equation. Then, by using these matrix relations and the collocation points, the Bagley-Torvik problem is converted into a system of the linear algebraic equations. The solution of this system gives the coefficients of the assumed solution. Secondly, an error estimation method is given with the help of the residual function and also the Laguerre polynomial solution is improved by using the estimated error function. Then, the method is applied to four examples and the obtained numerical results are shown in tables and graphs. Also, the comparisons are made with other methods in the literature and so the presented method gives better results than other methods.

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Anahtar Kelimeler

Bagley-Torvik equation, Caputo fractional derivative, collocation method, fractional differential equations, initial-boundary conditions, Laguerre polynomials

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International Journal of Nonlinear Sciences and Numerical Simulation

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24

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3

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Onay

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