Research article Special Issues

An efficient hybridization scheme for time-fractional Cauchy equations with convergence analysis

  • Received: 10 May 2022 Revised: 31 August 2022 Accepted: 06 September 2022 Published: 20 October 2022
  • MSC : 34A08, 35A20, 35A22, 35C05

  • In this paper, a time-fractional Cauchy equation (TFCE) is analyzed by using the q-homotopy analysis Shehu transform algorithm (q-HASTA) with convergence analysis. The q-HASTA comprises with the reduced differential transform algorithm (RDTA). The solution of TFCE is represented in the series form by using the q-HASTA scheme. The TFCE is transformed into algebraic form for finding the general solution efficiently. This provides a compact form solution with minimized error. There are three key outcomes of the work. First, the small size of input parameters by the RDTA transforms into the subsidiary equation so that it takes short time to solve. As the second advantage, the structure of the problem is reduced by controlling the solution series; hence the characterization of the solution becomes classified for finding the particular solution. The third advantage of this work is that the approximate solution with absolute error approximation for the fractional model of the problem is handled by using a generalized and efficient scheme q-HASTA. These outcomes are illustrated by graphs and tables.

    Citation: Saud Fahad Aldosary, Ram Swroop, Jagdev Singh, Ateq Alsaadi, Kottakkaran Sooppy Nisar. An efficient hybridization scheme for time-fractional Cauchy equations with convergence analysis[J]. AIMS Mathematics, 2023, 8(1): 1427-1454. doi: 10.3934/math.2023072

    Related Papers:

  • In this paper, a time-fractional Cauchy equation (TFCE) is analyzed by using the q-homotopy analysis Shehu transform algorithm (q-HASTA) with convergence analysis. The q-HASTA comprises with the reduced differential transform algorithm (RDTA). The solution of TFCE is represented in the series form by using the q-HASTA scheme. The TFCE is transformed into algebraic form for finding the general solution efficiently. This provides a compact form solution with minimized error. There are three key outcomes of the work. First, the small size of input parameters by the RDTA transforms into the subsidiary equation so that it takes short time to solve. As the second advantage, the structure of the problem is reduced by controlling the solution series; hence the characterization of the solution becomes classified for finding the particular solution. The third advantage of this work is that the approximate solution with absolute error approximation for the fractional model of the problem is handled by using a generalized and efficient scheme q-HASTA. These outcomes are illustrated by graphs and tables.



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    [1] M. Caputo, Linear model of dissipation whose Q is almost frequency independent-Ⅱ, Geophys. J. Int., 13 (1967), 529–539. https://doi.org/10.1111/j.1365-246X.1967.tb02303.x doi: 10.1111/j.1365-246X.1967.tb02303.x
    [2] M. Caputo, Elasticit$\grave{a}$ e dissipazione, Zani-Chelli, Bologna 1969.
    [3] K. B. Oldham, J. Spanier, The fractional calculus: Theory and application of differentiation and integration to arbitrary order, New York: Academic Press, 1974.
    [4] M. Hedayati, R. Ezzati, S. Noeiaghdam, New procedures of a fractional order model of novel coronavirus (COVID-19) outbreak via wavelets method, Axioms, 10 (2021), 1–23. https://doi.org/10.3390/axioms10020122 doi: 10.3390/axioms10020122
    [5] A. Carpinteri, F. Mainardi, Fractional calculus in continuum mechanics, New York: Springer, 1997.
    [6] I. Podlubny, Fractional differential equations, San Diego, Calif: Academic Press, 1999.
    [7] A. A. Kilbas, H. M. Srivastava, J. J. Trujillo, Theory and applications of fractional differential equations, Amsterdam: Elsevier, 2006.
    [8] H. Bulut, H. M. Baskonus, Y. Pandir, The modified trial equation method for fractional wave equation and time-fractional generalized Burgers equation, Abstr. Appl. Anal., 2013 (2013), 1–8. https://doi.org/10.1155/2013/636802 doi: 10.1155/2013/636802
    [9] J. H. He, Approximate analytical solution for seepage flow with fractional derivatives in porous media, Comput. Methods Appl. Mech. Eng., 167 (1998), 57–58. https://doi.org/10.1016/S0045-7825(98)00108-X doi: 10.1016/S0045-7825(98)00108-X
    [10] V. P. Dubey, R. Kumar, D. Kumar, A hybrid analytical scheme for the numerical computation of time fractional computer virus propagation model and its stability analysis, Chaos Soliton. Fract., 133 (2020), 109626. https://doi.org/10.1016/j.chaos.2020.109626 doi: 10.1016/j.chaos.2020.109626
    [11] S. Kumar, Y. Khan, A. Yildirim, A mathematical modelling arising in the chemical system and its approximate numerical solution, Asia Pacific J. Chem. Eng., 7 (2012), 835–840. https://doi.org/10.1002/apj.647 doi: 10.1002/apj.647
    [12] J. Singh, D. Kumar, S. D. Purohit, A. M. Mishra, M. Bohra, An efficient numerical approach for fractional multi-dimensional diffusion equations with exponential memory, Numer. Methods Partial Differ. Eq., 37 (2021), 1631–1651. https://doi.org/10.1002/num.22601 doi: 10.1002/num.22601
    [13] Ramswroop, J. Singh, D. Kumar, Numerical computation of fractional Lotka-Volterra equation arising in biological systems, Nonlinear Eng., 4 (2015), 117–125. https://doi.org/10.1515/nleng-2015-0012 doi: 10.1515/nleng-2015-0012
    [14] B. Ghanbari, D. Kumar, Numerical solution of predator-prey model with Beddington-DeAngelis functional response and fractional derivatives with Mittag-Leffler kernel, Chaos, 29 (2019), 063103. https://doi.org/10.1063/1.5094546 doi: 10.1063/1.5094546
    [15] X. W. Zhou, L. Yao, The variation iteration method for Cauchy problems, Comput. Math. Appl., 60 (2010), 756–760. https://doi.org/10.1016/j.camwa.2010.05.022
    [16] R. C. McOwn, Partial differential equation: Method and applications, Prentice Hall, Inc., 1996.
    [17] A. Tveito, R. Winther, Interoduction to partial differential equations, Berlin, Heidelberg: Springer-Verlag, 2005.
    [18] N. H. Asmar, Partial differential equations with Fourier series and boundary value problems, Prentice Hall, Inc., 2004.
    [19] V. P. Dubey, R. Kumar, D. Kumar, A reliable treatment of residual power series method for time-fractional Black-Scholes European option pricing equations, Phys. A, 533 (2019), 122040. https://doi.org/10.1016/j.physa.2019.122040 doi: 10.1016/j.physa.2019.122040
    [20] S. Maitama, W. Zhao, New Laplace-type integral transform for solving steady heat transfer problem, Therm. Sci., 25 (2021), 1–12. https://doi.org/10.2298/TSCI180110160M doi: 10.2298/TSCI180110160M
    [21] S. Maitama, W. Zhao, New integral transform: Shehu transform a generalization of Sumudu and Laplace transform for solving differential equations, Int. J. Anal. Appl., 17 (2019), 167–190. https://doi.org/10.28924/2291-8639-17-2019-167 doi: 10.28924/2291-8639-17-2019-167
    [22] R. Belgacem, D. Baleanu, A. Bokhari, Shehu transform and application to Caputo-fractional differential equations, Int. J. Anal. Appl., 17 (2019), 917–927.
    [23] A. Bokhari, D. Baleanu, R. Belgacem, Application of Shehu transform to Atangana-Baleanu derivatives, J. Math. Comput. Sci., 20 (2019), 101–107. http://dx.doi.org/10.22436/jmcs.020.02.03 doi: 10.22436/jmcs.020.02.03
    [24] M. A. El-Tawil, S. Huseen, The q-homotopy analysis method (q-HAM), Int. J. Appl. Math. Mech., 8 (2012), 51–75.
    [25] M. A. El-Tawil, S. Huseen, On convergence of the q-homotopy analysis method, Int. J. Conte. Math. Sci., 8 (2013), 481–497.
    [26] S. J. Liao, The proposed homotopy analysis technique for the solution of nonlinear problems, Ph.D. Thesis, Shanghai Jiao Tong University, 1992.
    [27] S. J. Liao, Beyond perturbation: Introduction to the homotopy analysis method, Boca Raton: Chaoman and Hall/CRC Press, 2003.
    [28] S. J. Liao, On the homotopy analysis method for nonlinear problems, Appl. Math. Comput., 147 (2004), 499–513. https://doi.org/10.1016/S0096-3003(02)00790-7 doi: 10.1016/S0096-3003(02)00790-7
    [29] S. J. Liao, K. F. Cheung, Homotopy analysis of nonlinear progressive waves in deep water, J. Eng. Math., 45 (2003), 105–116. https://doi.org/10.1023/A:1022189509293 doi: 10.1023/A:1022189509293
    [30] S. Noeiaghdam, M. Suleman, H. Budak, Solving a modified nonlinear epidemiological model of computer viruses by homotopy analysis method, Math. Sci., 12 (2018), 211–222. https://doi.org/10.1007/s40096-018-0261-5 doi: 10.1007/s40096-018-0261-5
    [31] S. Noeiaghdam, S. Micula, Dynamical strategy to control the accuracy of the nonlinear bio-mathematical model of malaria infection, Mathematics, 9 (2021), 1031. https://doi.org/10.3390/math9091031 doi: 10.3390/math9091031
    [32] S. Noeiaghdam, S. Micula, J. J. Nieto, A novel technique to control the accuracy of a nonlinear fractional order model of COVID-19: Application of the CESTAC method and the CADNA library, Mathematics, 9 (2021), 1321. https://doi.org/10.3390/math9121321 doi: 10.3390/math9121321
    [33] S. Noeiaghdam, E. Zarei, H. B. Kelishami, Homotopy analysis transform method for solving Abel's integral equations of the first kind, Ain Shams Eng. J., 7 (2016), 483–495. https://doi.org/10.1016/j.asej.2015.03.006 doi: 10.1016/j.asej.2015.03.006
    [34] J. Singh, D. Kumar, R. Swroop, S. Kumar, An efficient computational approach for time-fractional Rosenau-Hyman equation, Neural Comput. Appl., 30 (2018), 3063–3070. https://doi.org/10.1007/s00521-017-2909-8 doi: 10.1007/s00521-017-2909-8
    [35] Y. Keskin, G. Oturanc, Reduced differential transform method: A new approach to factional partial differential equations, Nonlinear Sci. Lett. A, 1 (2010), 61–72.
    [36] P. K. Gupta, Approximate analytical solutions of fractional Benney-Lin equation by reduced differential transform method and the homotopy perturbation method, Comput. Math. Appl., 58 (2011), 2829–2842. https://doi.org/10.1016/j.camwa.2011.03.057 doi: 10.1016/j.camwa.2011.03.057
    [37] V. K. Srivastava, M. K. Awasthi, M. Tamsir, RDTM solution of Caputo time fractional-order hyperbolic telegraph equation, AIP Adv., 3 (2013), 032142. https://doi.org/10.1063/1.4799548 doi: 10.1063/1.4799548
    [38] J. Singh, Analysis of fractional blood alcohol model with composite fractional derivative, Chaos, Soliton. Fract., 140 (2020), 110127. https://doi.org/10.1016/j.chaos.2020.110127 doi: 10.1016/j.chaos.2020.110127
    [39] J. Singh, B. Ganbari, D. Kumar, D. Baleanu, Analysis of fractional model of guava for biological pest control with memory effect, J. Adv. Res., 32 (2021), 99–108. https://doi.org/10.1016/j.jare.2020.12.004 doi: 10.1016/j.jare.2020.12.004
    [40] V. P. Dubey, J. Singh, A. M. Alshehri, S. Dube, D. Kumar, Analysis of local fractional coupled Helmholtz and coupled Burgers' equations in fractal media, AIMS Math., 7 (2022), 8080–8111. https://doi.org/10.3934/math.2022450 doi: 10.3934/math.2022450
    [41] V. P. Dubey, J. Singh, A. M. Alshehri, S. Dubey, D. Kumar, An efficient analytical scheme with convergence analysis for computational study of local fractional Schrödinger equations, Math. Comput. Simul., 196 (2022), 296–318. https://doi.org/10.1016/j.matcom.2022.01.012 doi: 10.1016/j.matcom.2022.01.012
    [42] S. Yadav, D. Kumar, J. Singh, D. Baleanu, Analysis and dynamics of fractional order COVID-19 model with memory effect, Results Phys., 24 (2021), 104017. https://doi.org/10.1016/j.rinp.2021.104017 doi: 10.1016/j.rinp.2021.104017
    [43] Y. Luchko, R. Gorenflo, An operational method for solving fractional differential equations with the Caputo derivatives, Acta Math. Vietnam., 24 (1999), 207–233.
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