Abstract
In this paper, we provide an approximate approach based on the Galerkin method to solve a class of nonlinear fractional differential algebraic equations. The fractional derivative operator in the Caputo sense is utilized and the generalized Jacobi functions are employed as trial functions. The existence and uniqueness theorem as well as the asymptotic behavior of the exact solution are provided. It is shown that some derivatives of the solutions typically have singularity at origin dependence on the order of the fractional derivative. The influence of the perturbed data on the exact solutions along with the convergence analysis of the proposed scheme is also established. Some illustrative examples provided to demonstrate that this novel scheme is computationally efficient and accurate.
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References
Atkinson KE, Han W (2009) Theoretical numerical analysis, a functional analysis framework, 3rd edn, Texts in Applied Mathematics, vol 39. Springer, Dordrecht
Babaei A, Banihashemi S (2017) A stable numerical approach to solve a time-fractional inverse heat conduction problem. Iran J Sci Technol Trans A Sci. https://doi.org/10.1007/s40995-017-0360-4
Bhrawy AH, Zaky MA (2016a) Shifted fractional-order Jacobi orthogonal functions: application to a system of fractional differential equations. Appl Math Model 40(2):832–845
Bhrawy AH, Zaky MA (2016b) A fractional-order Jacobi–Tau method for a class of time-fractional PDEs with variable coefficients. Math Methods Appl Sci 39(7):1765–1779
Canuto C, Hussaini MY, Quarteroni A, Zang TA (2006) Spectral methods. Fundamentals in single domains. Springer, Berlin
Chen S, Shen J, Wang LL (2016) Generalized Jacobi functions and their applications to fractional differential equations. Math Comput 85:1603–1638
Dabiri A, Butcher EA (2016) Numerical solution of multi-order fractional differential equations with multiple delays via spectral collocation methods. Appl Math Model 56:424–448
Dabiri A, Butcher EA (2017a) Efficient modified Chebyshev differentiation matrices for fractional differential equations. Commun Nonlinear Sci Numer Simul 50:284–310
Dabiri A, Butcher EA (2017b) Stable fractional Chebyshev differentiation matrix for the numerical solution of multi-order fractional differential equations. Nonlinear Dyn 90(1):185–201
Dabiri A, Nazari M, Butcher EA (2016) Optimal fractional state feedback control for linear fractional periodic time-delayed systems. In: 2016 American control conference (ACC). https://doi.org/10.1109/acc.2016.7525339
Dabiri A, Moghaddam BP, Tenreiro Machadoc JA (2018) Optimal variable-order fractional PID controllers for dynamical systems. J Comput Appl Math 339:40–48
Damarla SK, Kundu M (2015) Numerical solution of fractional order differential algebraic equations using generalized triangular function operational matrices. J Fract Calc Appl 6(2):31–52
Diethelm K (2010) The analysis of fractional differential equations. Springer, Berlin
Ding XL, Jiang YL (2014) Waveform relaxation method for fractional differential algebraic equations. Fract Calc Appl Anal 17(3):585–604
Fletcher R (1987) Practical methods of optimization, 2nd edn. Wiley, New York
Ghoreishi F, Mokhtary P (2014) Spectral collocation method for multi-order fractional differential equations. Int J Comput Methods 11:23. https://doi.org/10.1142/S0219876213500722
Gear CW (1990) Differential algebraic equations, indices, and integral algebraic equations. SIAM J Numer Anal 27(6):1527–1534
Hairer E, Lubich C, Roche M (1989) The numerical solution of differential-algebraic systems by Runge–Kutta methods. Springer, Berlin
Hesthaven JS, Gottlieb S, Gottlieb D (2007) Spectral methods for time-dependent problems, Cambridge Monographs on Applied and Computational Mathematics, vol 21. Cambridge University Press, Cambridge
İbis B, Bayram M (2011) Numerical comparison of methods for solving fractional differential-algebraic equations (FDAEs). Comput Math Appl 62(8):3270–3278
İbis B, Bayram M, Göksel Ağargün A (2011) Applications of fractional differential transform method to fractional differential-algebraic equations. Eur J Pure Appl Math 4(2):129–141
Jaradat HM, Zurigat M, Al-Sharan S (2014) Toward a new algorithm for systems of fractional differential algebraic equations. Ital J Pure Appl Math 32:579–594
Kilbas AA, Srivastava HM, Trujillo JJ (2006) Theory and applications of fractional differential equations. Elsevier, Amsterdam
Keshi FK, Moghaddam BP, Aghili A (2018) A numerical approach for solving a class of variable-order fractional functional integral equations. Comput Appl Math. https://doi.org/10.1007/s40314-018-0604-8
Moghaddam BP, Aghili A (2012) A numerical method for solving linear non-homogeneous fractional ordinary differential equations. Appl Math Inf Sci 6(3):441–445
Moghaddam BP, Machado JAT (2017a) A computational approach for the solution of a class of variable-order fractional integro-differential equations with weakly singular kernels. Fract Calc Appl Anal 20(4):1305–1312. https://doi.org/10.1515/fca-2017-0053
Moghaddam BP, Machado JAT (2017b) SM-Algorithms for approximating the variable-order fractional derivative of high order. Fundam Inform 151(1–4):293–311
Moghaddam BP, Machado JAT, Behforooz HB (2017a) An integro quadratic spline approach for a class of variable order fractional initial value problems. Chaos Solitons Fractals 102:354–360
Moghaddam BP, Machado JAT, Babaei A (2017b) A computationally efficient method for tempered fractional differential equations with application. Appl Math Comput. https://doi.org/10.1007/s40314-017-0522-1
Mokhtary P (2015) Reconstruction of exponentially rate of convergence to Legendre collocation solution of a class of fractional integro-differential equations. J Comput Appl Math 279:145–158
Mokhtary P (2016a) Discrete Galerkin method for fractional integro-differential equations. Acta Math Sci 36B(2):560–578
Mokhtary P (2016b) Numerical treatment of a well-posed Chebyshev Tau method for Bagley–Torvik equation with high-order of accuracy. Numer Algorithms 72:875–891
Mokhtary P (2017) Numerical analysis of an operational Jacobi Tau method forfractional weakly singular integro-differential equations. Appl Numer Math 121:52–67
Mokhtary P, Ghoreishi F (2011) The \(L^2\)-convergence of the Legendre-spectral Tau matrix formulation for nonlinear fractional integro-differential equations. Numer Algorithms 58:475–496
Mokhtary P, Ghoreishi F (2014a) Convergence analysis of the operational Tau method for Abel-type Volterra integral equations. Electron Trans Numer Anal 41:289–305
Mokhtary P, Ghoreishi F (2014b) Convergence analysis of spectral Tau method for fractional Riccati differential equations. Bull Iran Math Soc 40(5):1275–1296
Mokhtary P, Ghoreishi F, Srivastava HM (2016) The Müntz–Legendre Tau method for fractional differential equations. Appl Math Model 40(2):671–684
Pedas A, Tamme E, Vikerpuur M (2016) Spline collocation for fractional weakly singular integro-differential equations. Appl Numer Math 110:204–214
Podlubny I (1999) Fractional differential equations. Academic Press, New York
Shen J, Tang T, Wang LL (2006) Spectral methods algorithms, analysis and applications. J Math Anal Appl 313:251–261
Taghavi A, Babaei A, Mohammadpour A (2017) A stable numerical scheme for a time fractional inverse parabolic equations. Inverse Probl Sci Eng 25(10):1474–1491
Zaky MA (2017) A Legendre spectral quadrature Tau method for the multi-term time-fractional diffusion equations. Appl Math Comput. https://doi.org/10.1007/s40314-017-0530-1
Zhang W, Ge SS (2011) A global implicit function theorem without initial point and its applications to control of non-affine systems of high dimensions. Springer, Berlin
Zurigat M, Momani S, Alawneha A (2010) Analytical approximate solutions of systems of fractional algebraic differential equations by homotopy analysis method. Comput Math Appl 59(3):1227–1235
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The authors cordially thank anonymous referees for their valuable comments that improved the quality of this paper.
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Communicated by Vasily E. Tarasov.
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Ghanbari, F., Ghanbari, K. & Mokhtary, P. Generalized Jacobi–Galerkin method for nonlinear fractional differential algebraic equations. Comp. Appl. Math. 37, 5456–5475 (2018). https://doi.org/10.1007/s40314-018-0645-z
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DOI: https://doi.org/10.1007/s40314-018-0645-z
Keywords
- Fractional differential algebraic equation
- Generalized Jacobi–Galerkin method
- Regularity
- Convergence analysis