Modified hat functions: Application in space-time-fractional differential equations with Caputo derivative

Document Type : Research Article

Authors

Department of Applied Mathematics, Faculty of Mathematics and Computer Science, Hakim Sabzevari University, Iran.

Abstract

The present article introduces an operational approach based on modified hat functions to solve the space-time-fractional differential equations in the Caputo sense. In this method, the derivative of the unknown function is considered as a linear combination of modified hat functions. We use the operational matrix of the Riemann–Liouville fractional integral of modified hat functions to approximate the Caputo fractional derivative in order to reduce the problem to a system of Sylvester equations. The error of the mentioned method is of the order O(h3). In addition, we examine several  numerical examples to confirm the ability of the proposed approach. 

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Main Subjects


[1] Azin, H., Heydari, M.H. and Mohammadi, F., Vieta–Fibonacci wavelets: Application in solving fractional pantograph equations, Math. Methods Appl. Sci., 45 (2022) 411–422.
[2] Baghani, O., SCW-iterative-computational method for solving a wide class of nonlinear fractional optimal control problems with Caputo derivatives, Math. Comput. Simul., 202 (2022) 540–558.
[3] Jebreen, H.B. and Cattani, C., Interpolating scaling functions Tau method for solving space–time fractional partial differential equations, Symmetry, 14 (2022) 2463.
[4] Chen, Y.M., Wu, Y.B., Cui, Y., Wang, Z. and Jin, D., Wavelet method for a class of fractional convection-diffusion equation with variable coefficients, J. Comput. Sci., 1 (2010) 146–149.
[5] Chen, Y.M., Yi, M.X. and Yu, C. X., Error analysis for numerical solution of fractional differential equation by Haar wavelets method, J. Comput. Sci., 5 (2012) 367–373.
[6] Diouf, M. and Sene N., Analysis of the financial chaotic model with the fractional derivative operator, Complexity, Article ID 9845031, 2020. 
[7] El-Kalla, I.L., Convergence of the Adomian method applied to a class of nonlinear integral equations, Appl. Math. Comput., 21 (2008) 372–376. 
[8] Gardiner, J.D., Laub, A.J., Amato, J.J. and Moler, C.B., Solution of the Sylvester matrix equation AXBT +CXDT = E, ACM Trans. Math. Softw., 18 (1992) 23–231.
[9] Guner, O. and Bekir, A., Solving nonlinear space–time fractional differential equations via ansatz method, Comput. Methods Differ. Equ., 6 (2018) 1–11.
[10] Hashim, I. and Abdulaziz, O., Homotopy analysis method for fractional IVPs, Commun. Nonlinear Sci. Numer. Simul., 14 (2009) 674-684. 
[11] Hosseini, M.M., Adomian decomposition method for solution of nonlinear differential algebraic equations, Appl. Math. Comput., 181 (2006) 1737–1744.
[12] Hosseininia, M., Heydari, M.H., Maalek Ghaini, F.M. and Avazzadeh, Z., A wavelet method to solve nonlinear variable-order time fractional 2D Klein-Gordon equation, Comput. Math. Appl., 78 (2019) 3713–3730.
[13] Jafari, H. and Yousefi, S.A., Application of Legendre wavelets for solving fractional differential equations, Comput. Math. Appl., 62 (2011) 1038–1045.
[14] Lakestani, M., Dehghan, M., and Irandoust-pakchin, S., The construction of operational matrix of fractional derivatives using B-spline functions, Commun. Nonlinear Sci. Numer. Simul., 17 (2012) 1149–1162.
[15] Meerschaert, M.M., Scheffler, H.P. and Tadjeran, C., Finite difference methods for two-dimensional fractional dispersion equation, J. Comput. Phys., 211 (2006) 249–261.
[16] Momani, S. and Odibat, Z., Generalized differential transform method for solving a space and time-fractional diffusion-wave equation, Phys. Lett. A, 370 (2007) 379–387.
[17] Nemati, S. and Lima, P., Numerical solution of nonlinear fractional integro-differential equations with weakly singular kernels via a modification of hat functions, Appl. Math. Comput., 327 (2018) 79–92.
[18] Nemati, S., Lima, P. and Sedaghat, S., An effective numerical method for solving fractional pantograph differential equations using modification of hat functions, Appl. Numer. Math., 131 (2018) 174–89.
[19] Odibat, Z., A study on the convergence of variational iteration method, Math. Comput. Model., 51 (2010) 1181–1192.
[20] Odibat, Z. and Momani, S., Generalized differential transform method: Application to differential equations of fractional order, Appl. Math. Comput., 197 (2008) 467–477.
[21] Podlubny, I., Fractional differential equations: Mathematics in science and engineering, Vol. 198, San Diego, Academic Press, 1999.
[22] Pourbabaee, M. and Saadatmandi, A., A new operational matrix based on Müntz–Legendre polynomials for solving distributed order fractional differential equations, Math. Comput. Simul., 194 (2022) 210–235.
[23] Shen, S., Liu, F., Chen, J., Turner, I. and Anh, V., Numerical techniques for the variable order time fractional diffusion equation, Appl. Math. Comput., 218 (2012) 10861–10870.
[24] Soradi-Zeid, S., Jahanshahi, H., Yousefpour, A. and Bekiros, S., King algorithm: A novel optimization approach based on variable-order fractional calculus with application in chaotic financial systems, Chaos, Solit. Fract., 132 (2020) 109569.
[25] Sun, H., Chen W., Li, C. and Chen, Y., Finite difference schemes for variable-order time fractional diffusion equation, Int. J. Bifurc. Chaos Appl. Sci., 22 (2012) 1250085.
[26] Thiao, A. and Sene, A., Fractional optimal economic control problem described by the generalized fractional order derivative, 4th International Conference on Computational Mathematics and Engineering Sciences (CMES), 2019.
[27] Wang, L., Ma, Y. and Meng, Z., Haar wavelet method for solving fractional partial differential equations numercally, Appl. Math. Comput, 227 (2014) 66–76. 
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