A matrix approach to multi-term fractional differential equations using two new diffusive representations for the Caputo fractional derivative

Document Type : Original Article

Authors

1 Department of Applied Mathematics and Computer Science, Faculty of Mathematics and Statistics, University of Isfahan, Isfahan, Iran

2 Department of Mathematics and Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Iran

Abstract

In the last decade, there has been a surge of interest in application of fractional calculus in various areas such as, mathematics, physics, engineering, mechanics and etc. So, numerical methods have rapidly been developed to handle problems containing fractional derivatives (or integrals). Due to the fact that all the operators which appear in fractional calculus are non-local, so, the classical linear multi-step methods have some difficulties from the (time/space) computational complexity point of view. Recently, two new non-classical methods or diffusive based methods have been proposed by the authors to approximate the Caputo fractional derivatives. Here, the main aim of this paper is to use these methods to solve linear multi-term fractional differential equations numerically. To reach our aim, an efficient matrix approach has been provided to solve some well-known multi-term fractional differential equations.

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Main Subjects


[1] O. P. Agrawal, A numerical scheme for initial compliance and creep response of a system, Mechanics Re[1]search Communications, 36 (2009), pp. 444–451.
[2] K. E. Atkinson, W. Han, and D. Stewart, Numerical solution of ordinary differential equations, Pure and Applied Mathematics (Hoboken), John Wiley & Sons, Inc., Hoboken, NJ, 2009.
[3] J. Audounet, D. Matignon, and G. Montseny, Semi-linear diffusive representations for nonlinear frac[1]tional differential systems, in Nonlinear control in the year 2000, Vol. 1 (Paris), vol. 258 of Lect. Notes Control Inf. Sci., Springer, London, 2001, pp. 73–82.
[4] D. Baffet, A Gauss-Jacobi kernel compression scheme for fractional differential equations, J. Sci. Comput., 79 (2019), pp. 227–248.
[5] M. Bettayeb and S. Djennoune, Design of sliding mode controllers for nonlinear fractional-order systems via diffusive representation, Nonlinear Dynam., 84 (2016), pp. 593–605.
[6] C. Birk and C. Song, An improved non-classical method for the solution of fractional differential equations, Comput. Mech., 46 (2010), pp. 721–734.
[7] K. Diethelm, A new diffusive representation for fractional derivatives, Part I: construction, implementation and numerical examples, in Fractional differential equations—modeling, discretization, and numerical solvers, vol. 50 of Springer INdAM Ser., Springer, Singapore, pp. 1–15.
[8] , An investigation of some nonclassical methods for the numerical approximation of Caputo-type fractional derivatives, Numer. Algorithms, 47 (2008), pp. 361–390.
[9] , An improvement of a nonclassical numerical method for the computation of fractional derivatives, J. Vib. Acoust., 131 (2009), p. 014502.
[10] , The analysis of fractional differential equations, vol. 2004 of Lecture Notes in Mathematics, Springer[1]Verlag, Berlin, 2010. An application-oriented exposition using differential operators of Caputo type.
[11] , Fast solution methods for fractional differential equations in the modeling of viscoelastic materials, in 2021 9th International Conference on Systems and Control (ICSC), 2021, pp. 455–460.
[12] K. Diethelm and N. J. Ford, Numerical solution of the Bagley-Torvik equation, BIT, 42 (2002), pp. 490– 507.
[13] K. Diethelm, V. Kiryakova, Y. Luchko, J. A. T. Machado, and V. E. Tarasov, Trends, directions for further research, and some open problems of fractional calculus, Nonlinear Dynamics, 107 (2022), pp. 3245– 3270.
[14] N. J. Ford and A. C. Simpson, The numerical solution of fractional differential equations: speed versus accuracy, Numer. Algorithms, 26 (2001), pp. 333–346.
[15] R. Garrappa, Numerical solution of fractional differential equations: A survey and a software tutorial, Math[1]ematics, 6 (2018).
[16] M. Hinze, A. Schmidt, and R. I. Leine, Numerical solution of fractional-order ordinary differential equa[1]tions using the reformulated infinite state representation, Fract. Calc. Appl. Anal., 22 (2019), pp. 1321–1350.
[17] H. Khosravian-Arab and M. Dehghan, The sine and cosine diffusive representations for the Caputo fractional derivative, Appl. Numer. Math., 204 (2024), pp. 265–290.
[18] H. Khosravian-Arab, M. Dehghan, and M. R. Eslahchi, Fractional Sturm-Liouville boundary value problems in unbounded domains: theory and applications, J. Comput. Phys., 299 (2015), pp. 526–560.
[19] , Generalized Bessel functions: theory and their applications, Math. Methods Appl. Sci., 40 (2017), pp. 6389–6410.
[20] A. A. Kilbas, H. M. Srivastava, and J. J. Trujillo, Theory and applications of fractional differential equations, vol. 204 of North-Holland Mathematics Studies, Elsevier Science B.V., Amsterdam, 2006.
[21] C. Li and M. Cai, Theory and numerical approximations of fractional integrals and derivatives, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2020.
[22] C. Li and F. Zeng, Numerical methods for fractional calculus, Chapman & Hall/CRC Numerical Analysis and Scientific Computing, CRC Press, Boca Raton, FL, 2015.
[23] Q. X. Liu, Y. M. Chen, and J. K. Liu, An improved Yuan–Agrawal method with rapid convergence rate for fractional differential equations, Computational Mechanics, 63 (2019), pp. 713–723.
[24] D. Matignon, Diffusive representations for fractional Laplacian: systems theory framework and numerical issues, Physica Scripta, 2009 (2009), p. 014009.
[25] I. Podlubny, Fractional differential equations, vol. 198 of Mathematics in Science and Engineering, Academic Press, Inc., San Diego, CA, 1999. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications.
[26] A. Schmidt and L. Gaul, On a critique of a numerical scheme for the calculation of fractionally damped dynamical systems, Mech. Res. Commun., 33 (2006), pp. 99–107.
[27] A. Shen, Y. Guo, and Q. Zhang, A novel diffusive representation of fractional calculus to stability and stabilisation of noncommensurate fractional-order nonlinear systems, Int. J. Dyn. Control, 10 (2022), pp. 283– 295.
[28] C. Trinks and P. Ruge, Treatment of dynamic systems with fractional derivatives without evaluating memory-integrals, Comput. Mech., 29 (2002), pp. 471–476.
[29] L. Yuan and O. P. Agrawal, A numerical scheme for dynamic systems containing fractional derivatives, J. Vib. Acoust., 124 (2002), pp. 321–324.