2013
DOI: 10.1155/2013/821327
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Spectral-Collocation Methods for Fractional Pantograph Delay-Integrodifferential Equations

Abstract: We propose and analyze a spectral Jacobi-collocation approximation for fractional order integrodifferential equations of Volterra type with pantograph delay. The fractional derivative is described in the Caputo sense. We provide a rigorous error analysis for the collocation method, which shows that the error of approximate solution decays exponentially inL∞norm and weightedL2-norm. The numerical examples are given to illustrate the theoretical results.

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Cited by 47 publications
(27 citation statements)
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“…Because of the computational complexity of fractional derivatives in the delay case, the exact analytical solution of the fractional delay differential equations is hardly available. Therefore, in the last decades many researchers have been attracted to deal with the numerical solution of this class of problems (see for example [23,24,25,26,27,28]).…”
Section: Introductionmentioning
confidence: 99%
“…Because of the computational complexity of fractional derivatives in the delay case, the exact analytical solution of the fractional delay differential equations is hardly available. Therefore, in the last decades many researchers have been attracted to deal with the numerical solution of this class of problems (see for example [23,24,25,26,27,28]).…”
Section: Introductionmentioning
confidence: 99%
“…Yusufoglu [7] proposed an efficient algorithm for solving generalized pantograph equations with linear functional argument. In [8], Yang and Huang presented a spectral-collocation method for fractional pantograph delay integrodifferential equations and in [9] Yüzbasi and Sezer presented an exponential approximation for solutions of generalized pantograph delay differential equations. Chebyshev and Bessel polynomials are, respectively, used in [10,11] to obtain the solutions of generalized pantograph equations.…”
Section: Introductionmentioning
confidence: 99%
“…Finite element methods have been introduced in [11][12][13] to obtain numerical solutions of FDEs; also the numerical treatments based on finite difference methods have been developed in [14][15][16]. Moreover, several spectral techniques were designed for such equations (see for instance, [17][18][19][20][21][22][23][24][25][26][27]). …”
Section: Introductionmentioning
confidence: 99%