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HomeJournalsSigma Journal of Engineering and Natural Sciences10.14744/sigma.2021.00032
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Article Open Access1 January 2022

Genocchi polynomial method for the multiterm variable-order fractional differential equations

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Sadiye Nergis TURAL POLAT1

1Yıldız Technical University

Sigma Journal of Engineering and Natural Sciences 2022, Vol. 40, Issue 1, pp. 79-84; doi.org/10.14744/sigma.2021.00032

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Abstract

In this paper a numerical solution for multiterm varable-order fractional differential equations (VO-FDEs) using Genocchi polynomials is proffered. By making use of the Genocchi polynomials, a multiterm VO-FDE can be approximated by a corresponding system of algebraic equations. To be able to do that, operational matrices for variable order fractional differentials are obtained using Genocchi polynomials. Then the algebraic equation system is solved for the coefficient values, thus the approximate solution is obtained by using the linear combination of those coefficients. Numerical examples are provided.

Keywords: Genocchi polynomials; Collocation method; Variable-order fractional differential equations; Numerical FDE solutions

References

  1. Podlubny I. Fractional Differential Equations, New lems. Asian J Control 2018;20:1-14. [CrossRef] York: Academic Press, 1999. [17] Liu J, Li X, Wu L. An operational matrix of fractio-
  2. Duarte FBM, Machado JAT. Chaotic phenomena nal differentiation of the second kind of Chebyshev and fractional order dynamics in the trajectory polynomial for solving multi-term variable order control of redundant manipulators, Nonlinear Dyn fractional differential equation. Math Probl Eng 2002;29:342–362. 2016;7126080. [CrossRef]
  3. Bahaa M. Fractional optimal control problem for [18] Araci S. Novel identities involving differential system with delay argument, Adv Differ Genocchi numbers and polynomials Equat 2017;69:1–19. [CrossRef] arising from applications of umbral
  4. Magin RL. Fractional calculus models of complex calculus. Appl Math Comput 2014;233:599– dynamics in biological tissues. Comput Math Appl 607. [CrossRef] 2010;59:1586–1593. [CrossRef] [19] Isah A, Phang C. New operational matrix of deriva-
  5. Rossikhin YA, Shitikova MV. Applications of frac- tive for solving non-linear fractional differential tional calculus to dynamic problems of linear and equations via Genocchi polynomials, J. King Saud nonlinear hereditary mechanics of solids. Appl Univ. Sci., 2019;31:1-7. [CrossRef] Mech Rev 1997;50:15–67. [CrossRef] [20] Alipour M, Rostamy D. Solving nonlinear frac-
  6. Coimbra CFM. Mechanics with variable-order dif- tional differential equations by bernstein polyno- ferential operators, Ann. Phys. 2003;12692–703. mials operational matrices. Int J Math Comput Sci
  7. Soon CM, Coimbra CFM, Kobayashi MH. The 2012;5:185-196. [CrossRef] variable viscoelasticity oscillator. Ann Phys 2005;14:378–389.
  8. Shiralashetti SC, Deshi AB. An efficient Haar wavelet collocation method for the numerical solu- tion of multi-term fractional differential equations, Nonlinear Dyn 2016;83:293–303. [CrossRef]

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POLAT, S.N.T.; DINCEL, A.T. Genocchi polynomial method for the multiterm variable-order fractional differential equations. Sigma Journal of Engineering and Natural Sciences 2022, Vol. 40, pp. 79-84. https://doi.org/10.14744/sigma.2021.00032

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Publication History
Published1 January 2022
Versionv1
AccessOpen Access
10.14744/sigma.2021.00032
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