Numerical solution of multi order fractional differential equations using Lucas polynomials

Authors
1 Mahallat Institute of Higher Education
2 Malayer university
Abstract
Introduction

This paper presents a reliable numerical technique based on Lucas polynomials for a family of fractional differential equations and multi order fractional differential equations by means of the least square method. The fractional derivative is in the Caputo sense. A relevant feature of this approach is the analyzing of the suggested technique by Gauss quadrature method and using the theory of Lagrange multipliers to solve a constrained optimization problem. An upper error bound, the convergence, and error analysis of the scheme are investigated and the CPU time used, the values of maximum errors, the numerical convergence analysis based on the proposed technique for different values of parameters are discussed. Furthermore the results of present technique are compared with the, operational matrix of hybrid basis functions, the Jacobi orthogonal functions and pseudo-spectral scheme. In order to introduce the numerical behavior of the proposed technique in case of non-smooth solutions, this issue is discussed. In this case, the obtained results imply an elegant superiority of our proposed technique. The numerical examples illustrate the accuracy and performance of the technique. Finally extending the proposed technique to high dimensions and system of fractional differential equations can be examined as a further works.

Material and methods

In this study, the least square method, the Gauss quadrature method and the theory of Lagrange multipliers are used to solve a constrained optimization problem.



Results and discussion

Several numerical examples are examined using the proposed technique. The numerical examples illustrate the accuracy and performance of the technique. Also, the numerical results reported in the tables indicate that the accuracy improve by increasing the degree of the Lucas polynomials.

Conclusion

In this paper, Lucas polynomials have been successfully applied to compute the approximate solution of the fractional differential equations and multi order fractional differential equations. The results show that:

• The proposed technique provides the solutions in terms of convergent series with easily computable components in a direct way, without using linearization, perturbation or restrictive assumption.

• The proposed technique is very straightforward and the solution procedure can be done easily.

• The numerical behavior of the proposed technique in case of non-smooth solutions, demonstrated that the obtained results imply an elegant superiority of our proposed technique.
Keywords

1. Kulish V.V., Lage J.L., "Application of fractional calculus to fluid mechanics", J. Fluid. Eng., 124 (2002) 803-806.

2. Sayevand K., Rostami M.R., "Fractional optimal control problems: Optimality conditions and numerical solution", IMA J. Math. Control I., doi:10.1093/imamci/dnw041.

3. Calderon A.J., Vinagre B.M., Feliu V., "Fractional order control strategies for power electronic buck converters", Signal Process., 86 (2006) 2803–2819.

4. Machado J. T., "Fractional order description of DNA, Applied Mathematical Modelling", 39 (14) (2015) 4095–4102.

5. Inc M., Yusuf A., Aliyu A.I., Baleanu D., "Soliton structures to some time-fractional nonlinear differential equations with conformable derivative", Opt. Quantum Electron., 50 (2018) Doi:10.1007/s11082-017-1287-x.

6. Kilbas A. A., Srivastava H. M., Trujillo J. J., "Theory and Applications of Fractional Differential Equations", in North–Holland Mathematics Studies, Vol. 204, Elsevier Science B.V., Amsterdam (2006).

7. Podlubny I., "Fractional Differential Equations", Academic Press, New York (1999).

8. Firoozjaee M.A., Yousefi S.A., Jafari H., Baleanu D., "On a numerical approach to solve multi order fractional differential equations with boundary initial conditions", J. Comput. Nonlinear Dyn., (2015) Doi: 10.1115/1.4029785.

9. Hesameddini E., Rahimi A., Asadollahifard E., "On the convergence of a new reliable algorithm for solving multi-order fractional differential equations", Commun. Nonlinear Sci. Numer. Simul., 34 (2016) 154–164.

10. Dabiri A., Butcher E.A., "Stable fractional Chebyshev differentiation matrix for the numerical solution of multi-order fractional differential equations", Nonlinear Dyn., 90(1) (2017) 185–201.

11. Han W., Chen Y., Liu D., Li X., Boutat D., "Numerical solution for a class of multi-order fractional differential equations with error correction and convergence analysis", Adv. Differ. Equ., (2018) https://doi.org/10.1186/s13662-018-1702-z.

12. Aphithana A., Ntouyas S. K., Tariboon J., "Existence and uniqueness of symmetric solutions for fractional differential equations with multi-order fractional integral conditions", Bound. Value Probl., (2015) Doi:10.1186/s13661-015-0329-1.

13. Bolandtalat A., Babolian E., Jafari H., "Numerical solutions of multi-order fractional differential equations by Boubaker polynomials", Open Phys., 14 (2016) 226–230.

14. Rostamy D., Jafari H., Alipour M., Khalique C. M., "Computational Method Based on Bernstein Operational Matrices for Multi-Order Fractional Differential Equations", Filomat, 28(3) (2014) 591–601.

15. Saeedi H., "A fractional-order operational method for numerical treatment of multi-order fractional partial differential equation with variable coefficients", SeMA J., 7 (2017) 1–13.

16. Dabiri A., Butcher E.A., "Numerical solution of multi-order fractional differential equations with multiple delays via spectral collocation methods", Appl. Math. Model., 56 (2018) 424–448.

17. Maleknejad K., Nouri K., Torkzadeh L., "Study on multi-order fractional differential equations via operational matrix of hybrid basis functions", Bull. Iranian Math. Soc., 43 (2) (2017) 307-318.

18. Chen Y.M., Han X.N., Liu L.C., "Numerical solution for a class of linear system of fractional differential equations by the Haar wavelet method and the convergence analysis", Comput. Model. Eng. Sci., 97(5) (2014) 391–405.

19. Chen Y.M., Sun L., Liu L.L., Xie J.Q., "The Chebyshev wavelet method for solving fractional integral and differential equations of Bratu-type", J. Comput. Inf. Syst., 9(14) (2013) 5601–5609.

20. Li Y., Zhao W., "Haar wavelet operational matrix of fractional order integration and its applications in solving the fractional order differential equations", Appl. Math. Comput., 216 (2010) 2276–2285.

21. Abd-Elhameed W.M., Youssri Y.H., "Generalized Lucas polynomial sequence approach for fractional differential equations", Nonlinear Dyn., 89(2) (2017) 1341–1355. https://doi.org/10.1007/s11071-017-3519-9.

23. Lee G., Asci M. ,"Some Properties of the -Fibonacci and -Lucas Polynomials", J. Appl. Math., (2012), Doi:10.1155/2012/264842.

24. Golub G. H., Welsch J. H., "Calculation of gauss quadrature rules", Math. Comput., 23 (106) (1969) 221–230.

25. Davis P. J., Rabinowitz P., "Numerical Integration", Blaisdell, Waltham, Mass., 1967.

26. Mashayekhi S., Razzaghi M., Wattanataweekul M., "Analysis of multi-delay and piecewise constant delay systems by hybrid functions approximation", Differ. Equ. Dyn. Syst., 24 (2016) 1–20.

27. Devore R.A., Scott L.R., "Error bounds for Gaussian quadrature and weighted-L1 polynomial approximation", SIAM J. Numer. Anal., 21 (1984) 400–412.

28. Canuto C., Hussaini M.Y., Quarteroni A., Zang T. A., "Spectral Methods, Fundamentals in Single Domains", Springer, Berlin (2006).

29. Diethelm K., J. Ford N., "Multi-order fractional differential equations and their numerical solution", Appl. Math. Comput., 154 (2004) 621–640.

30. Khader M. M., "Numerical treatment for solving fractional Riccati differential equation", J. Egypt. Math. Soc., 21 (2013) 32–37.

31. Bhrawy A.H., Zaky M.A., "A Shifted Fractional-Order Jacobi Orthogonal Functions: An Application for System of Fractional Differential Equations", Appl. Math. Model., (2015) Doi:http://dx.doi.org/ 10.1016/j.apm.2015.06.012.

32. Esmaeili S., Shamsi M., "A pseudo-spectral scheme for the approximate solution of a family of fractional differential equations", Commun. Nonlinear Sci. Numer. Simulat., 16 (2011) 3646–3654.