Abstract
In this study, we have introduced a fractional series solution method to solve fractional pantograph differential equations numerically. The method is constructed by collocation approach and Bernstein polynomials. Each term of the equation is converted into a matrix form by the fractional Bernstein series. Then, the problems are reduced into a set of algebraic equations including unknown Bernstein coefficients by using the collocation nodes. Hence, by determining the coefficients, the approximate solution is obtained. For the error analysis of this method, we give two techniques which estimate or bound the absolute error. To demonstrate the efficiency and applicability of the method, some illustrative examples are given. We also compare the method with some known methods in the literature.
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References
Hilfer, R.: Application Of Fractional Calculus in Physics. World Scientific, Singapore (2000)
Magin, R.L.: Fractional calculus models of complex dynamics in biological tissues. Comput. Math. Appl. 59(5), 1586–1593 (2010)
Sabatier, J., Lanusse, P., Melchior, P., Oustaloup, A.: Fractional Order Differentiation and Robust Control Design, CRONE. Springer, H-infinity and Motion Control (2015)
He, J.-H.: Variational iteration method-a kind of non-linear analytical technique: some examples. Int. J. Non-Linear Mech. 34(4), 699–708 (1999)
Wu, G.C., Baleanu, D.: Variational iteration method for the Burgers flow with fractional derivatives new Lagrange multipliers. Appl. Math. Model. 37(9), 6183–6190 (2013)
Baleanu, D., Wu, G.C., Duan, J.S.: Some analytical techniques in fractional calculus: realities and challenges. In: Tenreiro-Machado, J.A., Luo, A.C.J. (eds.) ) Discontinuity and complexity in nonlinear physical systems. Springer, New York (2014)
Saha Ray, S., Bera, R.K.: An approximate solution of a nonlinear fractional differential equation by Adomian decomposition method. Appl. Math. Comput. 67(1), 561–571 (2005)
Garra, R., Polito, F.: Analytic solutions of fractional differential equations by operational methods. Appl. Math. Comput. 218(21), 10642–10646 (2012)
Dattoli, G., Migliorati, M., Khan, S.: Solutions of integro-differential equations and operatorial methods. Appl. Math Comput. 186, 302–308 (2007)
Meerschaert, M.M., Tadjeran, C.: Finite difference approximations for fractional advection-dispersion flow equations. J. Comput. Appl. Math. 172(1), 65–77 (2004)
Sun, H., Chen, W., Li, C., Chen, Y.: Fractional differential models for anomalous diffusion. Phys. A 389(14), 2719–2724 (2010)
Diethelm, K., Ford, N.J., Freed, A.D.: A predictor-corrector approach for the numerical solution of fractional differential equations. Nonlinear Dyn. 29(1), 3–22 (2002)
Deng, W.: Short memory principle and a predictor-corrector approach for fractional differential equations. J. Comput. Appl. Math. 206(1), 174–188 (2007)
Li, X., Xu, C.: Existence and uniqueness of the weak solution of the space-time fractional diffusion equation and a spectral method approximation. Commun. Comput. Phys. 8(5), 10–16 (2010)
Zayernouri, M., Karniadakis, G.E.: Fractional spectral collocation method. SIAM J. Sci. Comput. 36(1), 40–62 (2014)
Aslan, İ: Analytic investigation of a reaction-diffusion brusselator model with the time-space fractional derivative. Int. J. Nonlinear Sci. Numer. Simul. 15(2), 149–155 (2014)
Saadatmandi, A., Dehghan, M.: A new operational matrix for solving fractional-order differential equations. Comput. Math. Appl. 59(3), 1326–1336 (2010)
Doha, E.H., Bhrawy, A.H., Ezz-Eldien, S.S.: A new Jacobi operational matrix: an application for solving fractional differential equations. Appl. Math. Model. 36(10), 4931–4943 (2012)
Dai, C.Q., Wang, Y.Y.: Exact traveling wave solutions of the discrete nonlinear Schrödinger equation and the hybrid lattice equation obtained via the exp-function method. Physica Scripta. 78, 1–6 (2008)
Ma, W.X., You, Y.: Rational solutions of the Toda lattice equation in Casoratian form. Chaos Soliton Fract. 22, 395–406 (2004)
Zhu, S.D., Chu, Y.M., Qiu, S.L.: The homotopy perturbation method for discontinued problems arising in nanotechnology. Comput. Math. Appl. 58, 2398–2401 (2009)
Yang, P., Chen, Y., Li, Z.B.: ADM-Padé technique for the nonlinear lattice equations. Appl. Math. Comput. 210, 362–375 (2009)
Hu, X.B., Ma, W.X.: Application of Hirota’s bilinear formalism to the Toeplitz lattice-some special soliton-like solutions. Phys. Lett. A 293, 161–165 (2002)
Zhang, S., Dong, L., Ba, J.M., Sun, Y.N.: The (G′/G)-expansion method for nonlinear differential-difference equations. Phys. Lett. A. 373, 905–910 (2009)
Aslan, İ: An analytic approach to a class of fractional differential-difference equations of rational type via symbolic computation. Math. Methods Appl. Sci. 38(1), 27–36 (2013). https://doi.org/10.1002/mma.3047
Aslan, İ: Exact Solutions of a Fractional-Type Differential-Difference Equation Related to Discrete MKdV Equation. Commun. Theor. Phys. 61(5), 595–599 (2014)
Aslan, İ: Symbolic computation of exact solutions for fractional differential-difference equation models. Nonlinear Anal. Model. Control. 20(1), 132–144 (2014)
Saadatmandi, A., Dehghan, M.: Numerical solution of the higher-order linear Fredholm integro-differential-difference equation with variable coefficients. Comput. Math. Appl. 59, 2996–3004 (2010)
Chen, Y., Moore, K.L.: Analytical stability bound for a class of delayed fractional-order dynamic systems. Nonlinear Dyn. 29, 191–200 (2002)
Lazarević, M.P., Spasić, A.M.: Finite-time stability analysis of fractional order time-delay systems: Gronwall’s approach. Math. Comput. Model. 49, 475–481 (2009)
Kaslik, E., Sivasundaram, S.: Analytical and numerical methods for the stability analysis of linear fractional delay differential equations. J. Comput. Appl. Math. 236(16), 4027–4041 (2012)
Abbas, S.: Existence of solutions to fractional order ordinary and delay differential equations and applications. Electron. J. Differ. Equ. 9, 1–11 (2011)
Jalilian, Y., Jalilian, R.: Existence of solution for delay fractional differential equations. Mediterr. J. Math. 10, 1731–1747 (2013)
Ghasemi, M., Jalilian, Y., Trujillo, J.: Existence and numerical simulation of solutions for nonlinear fractional pantograph equations. Inter. J. Comput. Math. 94(10), 2041–2062 (2017)
Morgado, M.L., Ford, N.J., Lima, P.M.: Analysis and numerical methods for fractional differential equations with delay. J. Comput. Appl. Math. 252, 159–168 (2013)
Moghaddam, B.P., Mostaghim, Z.S.: A numerical method based on finite difference for solving fractional delay differential equations. J. Taibah Univ. Sci. 7, 120–127 (2013)
Wang, Z.: A numerical method for delayed fractional-order differential equations. J. Appl. Math. 2013, 1–7 (2013)
Khader, M.M., Hendy, A.S.: The approximate and exact solutions of the fractional-order delay differential equations using Legendre pseudospectral method. Int. J. Pure. Appl. Math. 74, 287–297 (2012)
Saeed, U., Rehman, M.: Hermite wavelet method for fractional delay differential equations. J. Differ Equ. 2014, 1–9 (2014)
Hashemi, M., Atangana, A., Hajikhah, S.: Solving fractional pantograph delay equations by an effective computational method. Math Comput Simul. 177, 295–305 (2020)
Bhrawy, A., Al-Zahrani, A., Alhamed, Y., Baleanu, D.: A new generalized Laguerre-Gauss collocation scheme for numerical solution of generalized fractional pantograph equations. Rom. J. Phys. 59(7–8), 646–657 (2014)
Ghasemi, M., Fardi, M., Ghaziani, R.K.: Numerical solution of nonlinear delay differential equations of fractional order in reproducing kernel Hilbert space. Appl. Math. Comput. 268, 815–831 (2015)
Isah, A., Phang, C., Phang, P.: Collocation method based on genocchi operational matrix for solving generalized fractional pantograph equations. Int. J. Differ. Equ. Appl. (2017). https://doi.org/10.1155/2017/2097317
Jafari, H., Mahmoudi, M., Noori Skandari, M.H.: A new numerical method to solve pantograph delay differential equations with convergence analysis. Adv. Differ. Equ. 129, 1–12 (2021)
Chen, X., Wang, L.: The variational iteration method for solving a neutral functional-differential equation with proportional delays. Comput. Math. Appl. 59, 2696–2702 (2010)
Rahimkhani, P., Ordokhani, Y., Babolian, E.: Numerical solution of fractional pantograph differential equations by using generalized fractional-order Bernoulli wavelet. J. Comput. Appl. Math. 309, 493–510 (2017)
Vichitkunakorn, P., Vo, T.N., Razzaghi, M.: A numerical method for fractional pantograph differential equations based on Taylor wavelets. Trans. Inst. Meas. Control. 42(7), 1334–1344 (2020)
Nemati, S., Lima, P., Sedaghat, S.: An effective numerical method for solving fractional pantograph differential equations using modification of hat functions. Appl. Numer. Math. 131, 174–189 (2018)
Rabiei, K., Ordokhani, Y.: Solving fractional pantograph delay differential equations via fractional-order Boubaker polynomials. Eng. Comput. 35, 1431–1441 (2019)
Brunner, H., Huang, Q., Xie, H.: Discontinuous galerkin methods for delay differential equations of pantograph type. SIAM J. Numer. Anal. 48(5), 1944–1967 (2010)
Bataineh, A.S., Al-Omari, A.A., Isik, O.R., Hashim, I.: Multistage Bernstein collocation method for solving strongly nonlinear damped systems. J. Vib. Control 25(1), 122–131 (2019)
Alshbool, M.H.T., Bataineh, A.S., Hashim, I., Işık, O.R.: Solution of fractional-order differential equations based on the operational matrices of new fractional Bernstein functions. J. King Saud Univ.-Sci. 29(1), 1–18 (2017)
Podlubny, I.: Fractional differential equations. Academic Press, New York (1999)
Caputo, M.: Linear models of dissipation whose q is almost frequency independent-II. Geophys. J. Int. 13(5), 529–539 (1967)
Vivek, D., Kanagarajan, K., Harikrishnan, S.: Existence and uniqueness results for pantograph equations with generalized fractional derivative. J. Nonlinear Anal. Appl. 2018(2), 151–157 (2018)
Bellen, A., Zennaro, M.: Numerical methods for delay differential equations. Numerical mathematics and scientific computation. The Clarendon Press, New York (2003)
Wang, W.S., Li, S.F.: On the one-leg—method for solving nonlinear neutral functional differential equations. Appl. Math. Comput. 193, 285–301 (2007)
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Gokmen, E., Isik, O.R. A numerical method to solve fractional pantograph differential equations with residual error analysis. Math Sci 16, 361–371 (2022). https://doi.org/10.1007/s40096-021-00426-0
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DOI: https://doi.org/10.1007/s40096-021-00426-0