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Numerical solutions of the Bagley–Torvik equation by using generalized functions with fractional powers of Laguerre polynomials

  • Şuayip Yüzbaşı EMAIL logo and Gamze Yıldırım
Published/Copyright: May 3, 2022

Abstract

In this study, a collocation approach is presented to solve Bagley–Torvik equation, which is a class of fractional differential equations. As most fractional differential equations do not have exact analytical solutions, it is needed numerical methods. This study is important because it presents a numerical method for fractional differential equations. The main purpose of this method is to obtain the approximate solution based on Laguerre polynomials of the Bagley–Torvik equation. To date, a collocation method based on the Laguerre polynomials has not been studied for the solutions of the Bagley–Torvik equation. This reveals the novelty of the study. The approximate solution is sought in form of the fractional powers of the Laguerre polynomials. By using the Caputo derivative, the matrix relation is created for term with fractional derivative in the equation. Similarly, the matrix relation of second derivative is computed in equation. Then, by using these matrix relations and the collocation points, the Bagley–Torvik problem is converted into a system of the linear algebraic equations. The solution of this system gives the coefficients of the assumed solution. Secondly, an error estimation method is given with the help of the residual function and also the Laguerre polynomial solution is improved by using the estimated error function. Then, the method is applied to four examples and the obtained numerical results are shown in tables and graphs. Also, the comparisons are made with other methods in the literature and so the presented method gives better results than other methods.


Corresponding author: Şuayip Yüzbaşı, Department of Mathematics, Faculty of Science, Akdeniz University, TR 07058, Antalya, Türkiye, E-mail:

Acknowledgements

Authors would like to thank the reviewers for their constructive comments and suggestions to improve the paper.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

[1] K. B. Oldham and J. Spanier, The Fractional Calculus, New York, Academic Press, 1974.Search in Google Scholar

[2] K. S. Miller and B. Ross, An Introduction To the Fractional Calculus and Fractional Differential Equations, New York, John Wiley & Sons, 1993.Search in Google Scholar

[3] I. Podlubny, Fractional Differential Equations, San Diego, Academic Press, 1999.Search in Google Scholar

[4] I. Podlubny and I. Kostial, “Fractional derivative based process models and their applications,” in 4th International DAAAM Symposium, Brno, Czech, 1993.Search in Google Scholar

[5] A. Demir, M. A. Bayrak, and E. Özbilge, “A new approach for the approximate analytical solution of space-time fractional differential equations by the homotopy analysis method,” Adv. Theor. Math. Phys., vol. 2019, 2019, Art no. 5602565. https://doi.org/10.1155/2019/5602565.Search in Google Scholar

[6] A. Khan, T. S. Khan, M. I. Syam, and H. Khan, “Analytical solutions of time-fractional wave equation by double Laplace transform method,” Eur. Phys. J. Plus, vol. 134, 2019, Art no. 163. https://doi.org/10.1140/epjp/i2019-12499-y.Search in Google Scholar

[7] E. A. B. Abdel-Salam, M. I. Nouh, and E. A. Elkholy, “Analytical solution to the conformable fractional Lane-Emden type equations arising in astrophysics,” Sci. Afr., vol. 8, 2020, Art no. e00386. https://doi.org/10.1016/j.sciaf.2020.e00386.Search in Google Scholar

[8] H. Singh, “Approximate solution of fractional vibration equation using Jacobi polynomials,” Appl. Math. Comput., vol. 317, pp. 85–100, 2018. https://doi.org/10.1016/j.amc.2017.08.057.Search in Google Scholar

[9] J. Singh, D. Kumar, S. D. Purohit, A. M. Mishra, and M. Bohra, “An efficient numerical approach for fractional multidimensional diffusion equations with exponential memory,” Numer. Methods Part. Differ. Equ., vol. 37, no. 2, pp. 1631–1651, 2021. https://doi.org/10.1002/num.22601.Search in Google Scholar

[10] K. D. Dwivedi and J. Singh, “Numerical solution of two-dimensional fractional-order reaction advection sub-diffusion equation with finite-difference Fibonacci collocation method,” Math. Comput. Simulat., vol. 181, pp. 38–50, 2021. https://doi.org/10.1016/j.matcom.2020.09.008.Search in Google Scholar

[11] P. Pandey, S. Kumar, and S. Das, “Approximate analytical solution of coupled fractional order reaction-advection-diffusion equations,” Eur. Phys. J. Plus, vol. 134, p. 364, 2019. https://doi.org/10.1140/epjp/i2019-12727-6.Search in Google Scholar

[12] Y. Chatibi, E. H. El Kinani, and A. Ouhadan, “Lie symmetry analysis and conservation laws for the time fractional Black-Scholes equation,” Int. J. Geomet. Methods Mod. Phys., vol. 17, p. 2050010, 2020. https://doi.org/10.1142/s0219887820500103.Search in Google Scholar

[13] Y. Chatibi, E. H. El Kinani, and A. Ouhadan, “Lie symmetry analysis of conformable differential equations,” AIMS Math., vol. 4, pp. 1133–1144, 2019. https://doi.org/10.3934/math.2019.4.1133.Search in Google Scholar

[14] Y. Chatibi, E. H. El Kinani, and A. Ouhadan, “On the discrete symmetry analysis of some classical and fractional differential equations,” Math. Methods Appl. Sci., vol. 44, pp. 2868–2878, 2019. https://doi.org/10.1002/mma.6064.Search in Google Scholar

[15] H. Singh and H. M. Srivastava, “Jacobi collocation method for the approximate solution of some fractional-order Riccati differential equations with variable coefficients,” Phys. Stat. Mech. Appl., vol. 523, pp. 1130–1149, 2019. https://doi.org/10.1016/j.physa.2019.04.120.Search in Google Scholar

[16] Y. Yang, Y. Chen, Y. Huang, and H. Wei, “Spectral collocation method for the time-fractional diffusion-wave equation and convergence analysis,” Comput. Math. Appl., vol. 73, pp. 1218–1232, 2017. https://doi.org/10.1016/j.camwa.2016.08.017.Search in Google Scholar

[17] K. Jong, H. Choi, K. Jang, and S. Pak, “A new approach for solving one-dimensional fractional boundary value problems via Haar wavelet collocation method,” Appl. Numer. Math., vol. 160, no. 2021, pp. 313–330.10.1016/j.apnum.2020.10.019Search in Google Scholar

[18] O. K. Kürkçü, E. Aslan, and M. Sezer, “A novel graph-operational matrix method for solving multidelay fractional differential equations with variable coefficients and a numerical comparative survey of fractional derivative types,” Turk. J. Math., vol. 43, pp. 373–392, 2019. https://doi.org/10.3906/mat-1806-87.Search in Google Scholar

[19] Ş. Yüzbaşı, “Numerical solutions of fractional Riccati type differential equations by means of the Bernstein polynomials,” Appl. Math. Comput., vol. 219, pp. 6328–6343, 2013.10.1016/j.amc.2012.12.006Search in Google Scholar

[20] Ş. Yüzbaşı, “A collocation method for numerical solutions of fractional-order logistic population model,” Int. J. Biomath. (IJB), vol. 9, 2016, Art no. 1650031. https://doi.org/10.1142/S1793524516500315.Search in Google Scholar

[21] Ş. Yüzbaşı, “A numerical approximation for Volterra’s population growth model with fractional order,” Appl. Math. Model., vol. 37, pp. 3216–3227, 2013.10.1016/j.apm.2012.07.041Search in Google Scholar

[22] A. Daşcıoğlu and D. Varol, “Laguerre polynomial solutions of linear fractional integro-differential equations,” J. Math. Sci., vol. 15, pp. 47–54, 2021.10.1007/s40096-020-00369-ySearch in Google Scholar

[23] D. Varol Bayram and A. Daşcıoğlu, “A method for fractional Volterra integro-differential equations by Laguerre polynomials,” Adv. Differ. Equ., vol. 2018, 2018, Art no. 466. https://doi.org/10.1186/s13662-018-1924-0.Search in Google Scholar

[24] A. Kurt Bahşi and S. Yalçınbaş, “Numerical solutions and error estimations for the space fractional diffusion equation with variable coefficients via Fibonacci collocation method,” SpringerPlus, vol. 5, 2016, Art no. 1375.10.1186/s40064-016-2853-6Search in Google Scholar PubMed PubMed Central

[25] Y. Çenesiz, Y. Keskin, and A. Kurnaz, “The solution of the BagleyTorvik equation with the generalized Taylor collocation method,” J. Franklin Inst., vol. 347, pp. 452–466, 2010. https://doi.org/10.1016/j.jfranklin.2009.10.007.Search in Google Scholar

[26] Ş. Yüzbaşı, “Numerical solution of the BagleyTorvik equation by the Bessel collocation method,” Math. Methods Appl. Sci., vol. 36, pp. 300–312, 2012.10.1002/mma.2588Search in Google Scholar

[27] M. El-Gamel and M. A. El-Hady, “Numerical solution of the Bagley-Torvik equation by Legendre-collocation method,” SeMA J., vol. 74, pp. 371–383, 2017. https://doi.org/10.1007/s40324-016-0089-6.Search in Google Scholar

[28] J. Hou, C. Yang, and X. Lv, “Jacobi collocation methods for solving the fractional Bagley-Torvik equation,” IAENG Int. J. Appl. Math., vol. 50, pp. 114–120, 2020.Search in Google Scholar

[29] H. M. Srivastava, F. A. Shah, and R. Abass, “An application of the gegenbauer wavelet method for the numerical solution of the fractional Bagley-Torvik equation,” Russ. J. Math. Phys., vol. 26, pp. 77–93, 2019. https://doi.org/10.1134/s1061920819010096.Search in Google Scholar

[30] P. Rahimkhani and Y. Ordokhani, “Application of Müntz-Legendre polynomials for solving the BagleyTorvik equation in a large interval,” SeMA J., vol. 75, pp. 517–533, 2018. https://doi.org/10.1007/s40324-018-0148-2.Search in Google Scholar

[31] M. A. Bayrak, A. Demir, and E. Özbilge, “Numerical solution of fractional diffusion equation by Chebyshev collocation method and residual power series method,” Alex. Eng. J., vol. 59, pp. 4709–4717, 2020. https://doi.org/10.1016/j.aej.2020.08.033.Search in Google Scholar

[32] T. Zubair, M. Sajjad, R. Madni, and A. Shabir, “Hermite solution of Bagley-Torvik equation of fractional order,” Int. J. Mod. Nonlinear Theor. Appl., vol. 6, pp. 104–118, 2017. https://doi.org/10.4236/ijmnta.2017.63010.Search in Google Scholar

[33] M. Gülsu, Y. Öztürk, and A. Anapali, “Numerical solution the fractional BagleyTorvik equation arising in fluid mechanics,” Int. J. Comput. Math., vol. 94, pp. 173–184, 2017. https://doi.org/10.1080/00207160.2015.1099633.Search in Google Scholar

[34] Ş. Yüzbaşı and M. Karaçayır, “A Galerkin-type fractional approach for solutions of Bagley-Torvik equations,” Comput. Model. Eng. Sci., vol. 123, pp. 939–954, 2020.10.32604/cmes.2020.08938Search in Google Scholar

[35] Ş. Yüzbaşı, “A Laguerre approach for the solutions of singular perturbated differential equations,” Int. J. Comput. Methods, vol. 14, p. 1750034, 2017.10.1142/S0219876217500347Search in Google Scholar

[36] N. Baykuş Savaşaneril and M. Sezer, “Laguerre polynomial solution of high- order linear Fredholm integro-differential equations,” NTMSCI, vol. 4, pp. 273–284, 2016. https://doi.org/10.20852/ntmsci.2016218534.Search in Google Scholar

[37] Ş. Yüzbaşı, E. Gök, and M. Sezer, “Laguerre matrix method with the residual error estimation for solutions of a class of delay differential equations,” Math. Methods Appl. Sci., vol. 37, pp. 453–463, 2014.10.1002/mma.2801Search in Google Scholar

[38] B. Gürbüz and M. Sezer, “A numerical solution of parabolic-type Volterra partial integro-differential equations by Laguerre collocation method,” Int. J. Appl. Math. Phys., vol. 7, pp. 49–58, 2017. https://doi.org/10.17706/ijapm.2017.7.1.49-58.Search in Google Scholar

[39] B. Gürbüz and M. Sezer, “Laguerre polynomial approach for solving Lane-Emden type functional differential equations,” Appl. Math. Comput., vol. 242, pp. 255–264, 2014. https://doi.org/10.1016/j.amc.2014.05.058.Search in Google Scholar

[40] B. Gürbüz, M. Sezer, and C. Güler, “Laguerre collocation method for solving Fredholm integro-differential equations with functional arguments,” J. Appl. Math., vol. 2014, p. 12, 2014, Art no. 682398. https://doi.org/10.1155/2014/682398.Search in Google Scholar

[41] Ş. Yüzbaşı and G. Yıldırım, “A Laguerre approach for solving of the systems of linear differential equations and residual improvement,” Comput. methods differ. equ., vol. 9, no. 2021, pp. 553–576.Search in Google Scholar

[42] Ş. Yüzbaşı and G. Yıldırım, “Laguerre collocation method for solutions of the systems of first order linear differential equations,” Turk. J. Math. Comput. Sci., vol. 10, pp. 222–241, 2018.Search in Google Scholar

[43] W. W. Bell, Special Functions For Scientists and Engineers, London, D. Van Nostrand Company, 1968.Search in Google Scholar

[44] N. N. Lebedev and R. A. Silverman, Special Functions and Their Applications, Englewood Cliffs, N. J., Prentice-Hall, 1965.Search in Google Scholar

[45] W. K. Shao, Y. He, and J. Pan, “Some identities for the generalized Laguerre polynomials,” J. Nonlinear Sci. Appl., vol. 9, pp. 3388–3396, 2016. https://doi.org/10.22436/jnsa.009.05.124.Search in Google Scholar

[46] A. Saadatmandi and M. Dehghan, “A new operational matrix for solving fractional-order differential equations,” Comput. Math. Appl., vol. 59, pp. 1326–1336, 2010. https://doi.org/10.1016/j.camwa.2009.07.006.Search in Google Scholar

[47] M. Caputo, “Linear models of dissipation whose Q is almost frequency independent part II,” Geophys. J. Roy. Astron. Soc., vol. 13, pp. 529–539, 1967. https://doi.org/10.1111/j.1365-246x.1967.tb02303.x.Search in Google Scholar

[48] K. Diethelm, N. J. Ford, A. D. Freed, and Y. Luchko, “Algorithms for the fractional calculus: a selection of numerical methods,” Comput. Methods Appl. Mech. Eng., vol. 194, pp. 743–773, 2005. https://doi.org/10.1016/j.cma.2004.06.006.Search in Google Scholar

[49] F. A. Oliveira, “Collocation and residual correction,” Numer. Math., vol. 36, pp. 27–31, 1980. https://doi.org/10.1007/bf01395986.Search in Google Scholar

[50] I. Çelik, “Approximate calculation of eigenvalues with the method of weighted residuals-collocation method,” Appl. Math. Comput., vol. 160, pp. 401–410, 2005. https://doi.org/10.1016/j.amc.2003.11.011.Search in Google Scholar

[51] I. Çelik, “Collocation method and residual correction using Chebyshev series,” Appl. Math. Comput., vol. 174, pp. 910–920, 2006. https://doi.org/10.1016/j.amc.2005.05.019.Search in Google Scholar

[52] S. Shahmorad, “Numerical solution of the general form linear Fredholm-Volterra integro-differential equations by the Tau method with an error estimation,” Appl. Math. Comput., vol. 167, pp. 1418–1429, 2005. https://doi.org/10.1016/j.amc.2004.08.045.Search in Google Scholar

[53] H. Jafari, S. A. Yousefi, M. A. Firoozjaee, S. Momani, and C. M. Khalique, “Application of Legendre wavelets for solving fractional differential equations,” Comput. Math. Appl., vol. 62, pp. 1038–1045, 2011. https://doi.org/10.1016/j.camwa.2011.04.024.Search in Google Scholar

[54] M. U. Rehman and R. A. Khan, “A numerical method for solving boundary value problems for fractional differential equations,” Appl. Math. Model., vol. 36, pp. 894–907, 2012. https://doi.org/10.1016/j.apm.2011.07.045.Search in Google Scholar

[55] S. Esmaeili and M. Shams, “A pseudo-spectral scheme for the approximate solution of a family of fractional differential equations,” Commun. Nonlinear Sci. Numer. Simulat., vol. 16, pp. 3646–3654, 2011. https://doi.org/10.1016/j.cnsns.2010.12.008.Search in Google Scholar

[56] K. Diethelm, N. J. Ford, and A. D. Freed, “Detailed error analysis for a fractional Adams method,” Numer. Algorithm., vol. 36, pp. 31–52, 2004. https://doi.org/10.1023/b:numa.0000027736.85078.be.10.1023/B:NUMA.0000027736.85078.beSearch in Google Scholar

[57] V. Saw and S. Kumar, “Numerical solution of fraction Bagley–Torvik boundary value problem based on Chebyshev collocation method,” Int. J. Appl. Comput. Math., vol. 5, no. 3, pp. 1–11, 2019. https://doi.org/10.1007/s40819-019-0653-8.Search in Google Scholar

[58] Y. G. Wang, H. F. Song, and D. Li, “Solving two-point boundary value problems using combined homotopy perturbation method and Green’s function method,” Appl. Math. Comput., vol. 212, pp. 366–376, 2009. https://doi.org/10.1016/j.amc.2009.02.036.Search in Google Scholar

Received: 2021-03-20
Accepted: 2022-04-07
Published Online: 2022-05-03

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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