Abstract
This paper studies the variable fractional functional boundary value problems (VFF–BVPs) by considering Caputo fractional derivative. We use the reproducing kernel method (RKM) without the orthogonalization process as a smart scheme. For this purpose, we construct a reproducing kernel that does not satisfy the boundary condition of VFF–BVP. With this kernel, we can better approximate the solutions for VFF–BVP. Using this method increases the accuracy of the approximate solution so that a significant error analysis can be produced. Finally, two numerical examples are solved to illustrate the efficiency of the present method.
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References
Caputo M (1967) Linear models of dissipation whose Q is almost frequency independent-II. Geophys J Int 13(5):529–539
Oldham KB, Spanier J (1974) The fractional calculus. Academic Press, New York
Hassani H, Machado JAT, Avazzadeh Z (2019) An effective numerical method for solving nonlinear variable-order fractional functional boundary value problems through optimization technique. Nonlinear Dyn 97:2041–2054
Hassani H, Machado JAT, Naraghirad E, Avazzadeh Z (2023) Optimal solution of a general class of nonlinear system of fractional partial differential equations using hybrid functions. Eng Comput 39:2401–2431
Tay DBH, Abesekera SS, Balasuriya AP (2003) Audio signal processing via harmonic separation using variable Laguerre filters. In: Proceedings of the international symposium on circuits and systems, pp 558-561
Shinbo T, Sugita Y, Aikawa N, Kimura T, Moriti T, Wakasa Y (2003) A design of the stopband variable FIR digital filters using spectral parameter. In: Proceedings of the IEEE PacRim, pp 90-93
Eghbali A, Johansson H, Saramäki T (2013) A method for the design of Farrow-structure based variable fractional-delay FIR filters. Signal Process 93:1341–1348
Yu C, Teo KL, Dam HH (2014) Design of allpass variable fractional delay filter with signed powers-of-two coefficients. Signal Process 95:32–42
Hassani H, Machado JAT, Avazzadeh Z, Naraghirad E (2020) Generalized shifted Chebyshev polynomials: solving a general class of nonlinear variable order fractional PDE. Commun Nonlinear Sci Num Simul 85:105229
Razminia A, Dizaji AF, Majd VJ (2012) Solution existence for non-autonomous variable-order fractional differential equations. Math Comput Model 55:1106–1117
Delkhosh M, Parand K (2019) A hybrid numerical method to solve nonlinear parabolic partial differential equations of time-arbitrary order. Comput Appl Math 76:1–31
Delkhosh M, Parand K (2021) A new computational method based on fractional Lagrange functions to solve multi-term fractional differential equations. Numer Algor 88:729–766
Delkhosh M, Parand K (2019) Generalized pseudospectral method: theory and applications. J Comput Sci 34:11–32
Li XY, Wu BY (2015) A numerical technique for variable fractional functional boundary value problems. Appl Math Lett 43:108–113
Wang Y, Chaolu T, Jing P (2009) New algorithm for second-order boundary value problems of integro-differential equation. J Comput Appl Math 229:1–6
Wang Y, Chaolu T, Chen Z (2010) Using reproducing kernel for solving a class of singular weakly nonlinear boundary value problems. Int J Comput Math 87:367–380
Sahihi H, Abbasbandy S, Allahviranloo T (2018) Reproducing kernel method for solving singularly perturbed differential-difference equations with boundary layer behavior in Hilbert space. J Comput Appl Math 328:30–43
Sahihi H, Abbasbandy S, Allahviranloo T (2019) Computational method based on reproducing kernel for solving singularly perturbed differential-difference equations with a delay. Appl Math Comput 361:583–598
Sahihi H, Allahviranloo T, Abbasbandy S (2020) Solving system of second-order BVPs using a new algorithm based on reproducing kernel Hilbert space. Appl Num Math 151:27–39
Abbasbandy S, Sahihi H, Allahviranloo T (2021) Implementing reproducing kernel method to solve singularly perturbed convection-diffusion parabolic problems. Math Model Anal 26:116–134
Allahviranloo T, Sahihi H (2020) Reproducing kernel method to solve parabolic partial differential equations with nonlocal conditions. Numer Method Partial Differ Equ 36:1758–1772
Al-Smadi M, Momani S, Djeddi N, El-Ajou A, Al-Zhour Z (2023) Adaptation of reproducing kernel method in solving Atangana–Baleanu fractional Bratu model. Int J Dyn Control 11:136–148
Amoozad T, Allahviranloo T, Abbasbandy S, Rostamy Malkhalifeh M (2023) Using a new implementation of reproducing kernel Hilbert space method to solve a system of second-order BVPs. Int J Dyn Control. https://doi.org/10.1007/s40435-023-01330-2
Jia YT, Xu MQ, Lin YZ (2017) A numerical solution for variable order fractional functional differential equation. Appl Math Lett 64:125–130
Cui M, Lin Y (2009) Nonlinear numerical analysis in the reproducing kernel space. Nova Science, Hauppauge
Geng F, Cui M (2012) A reproducing kernel method for solving nonlocal fractional boundary value problems. Appl Math Lett 25:818–823
Allahviranloo T, Sahihi H (2021) Reproducing kernel method to solve fractional delay differential equations. Appl Math Comput 400:126095
Miller KS, Ross B (1993) An introduction to the fractional calculus and fractional differential equations. Wiley, New York
Podlubny I (1999) Fractional differential equations. Academic Press, New York
Diethelm K (2010) The analysis of fractional differential equations. Springer-Verlag, Berlin Heidelberg
Samko SG, Kilbas AA, Marichev OI (1993) Fractional integral and derivatives (theory and applications). Gordon and Breach, Switzerland
Aronszajn N (1950) Theory of reproducing kernel. Trans Am Math Soc 68:337–404
Atkinson K, Han W (2009) Theoretical numerical analysis a functional analysis framework, 3rd edn. Springer Science, New York
Mohammad Hosseiny R, Allahviranloo T, Abbasbandy S, Babolian E (2022) Reproducing kernel method to solve non-local fractional boundary value problem. Math Sci 16(3):261–268
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Rasekhinezhad, H., Abbasbandy, S., Allahviranloo, T. et al. Applications of new smart algorithm based on kernel method for variable fractional functional boundary value problems. Int. J. Dynam. Control (2024). https://doi.org/10.1007/s40435-024-01397-5
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DOI: https://doi.org/10.1007/s40435-024-01397-5