Research article Special Issues

A novel Bernstein operational matrix approach for tempered fractional differential equations: Convergence and stability analysis

  • Published: 15 April 2026
  • MSC : 65L05, 26A33

  • Tempered fractional differential equations (TFDEs) incorporate exponential decay into fractional operators to account for truncated memory and semi-long-range dependence in a variety of applications, including anomalous diffusion, viscoelasticity, transport phenomena, geophysical processes, and financial dynamics. In this work, a tempered fractional Bernstein method (TFBM) was proposed for the numerical solution of TFDEs involving Caputo-type derivatives. The proposed formulation combined a Bernstein polynomial approximation with an analytic representation of the Caputo–tempered fractional derivative through operational matrices. On this basis, two collocation-based variants were developed, namely, a Chebyshev-type method (TFBM-C) and a Legendre-type method (TFBM-L). For the linear setting, a convergence analysis established norm convergence of the numerical solution to the exact solution as the polynomial degree increased under standard stability and consistency assumptions. Stability was investigated under perturbations in the forcing term as well as under combined perturbations in the system matrix and righthand side, and explicit norm-wise error bounds were derived using classical matrix perturbation theory. Numerical experiments involving linear and nonlinear TFDEs, weakly singular solutions, multi-term operators, and benchmark test problems demonstrated that the proposed methods achieve higher accuracy than finite-difference and shifted Legendre operational matrix schemes while maintaining low computational cost.

    Citation: Jalal Al Hallak, Mohammed Alshbool, Ishak Hashim, Eddie Shahril Ismail, Shaher Momani. A novel Bernstein operational matrix approach for tempered fractional differential equations: Convergence and stability analysis[J]. AIMS Mathematics, 2026, 11(4): 10311-10341. doi: 10.3934/math.2026426

    Related Papers:

  • Tempered fractional differential equations (TFDEs) incorporate exponential decay into fractional operators to account for truncated memory and semi-long-range dependence in a variety of applications, including anomalous diffusion, viscoelasticity, transport phenomena, geophysical processes, and financial dynamics. In this work, a tempered fractional Bernstein method (TFBM) was proposed for the numerical solution of TFDEs involving Caputo-type derivatives. The proposed formulation combined a Bernstein polynomial approximation with an analytic representation of the Caputo–tempered fractional derivative through operational matrices. On this basis, two collocation-based variants were developed, namely, a Chebyshev-type method (TFBM-C) and a Legendre-type method (TFBM-L). For the linear setting, a convergence analysis established norm convergence of the numerical solution to the exact solution as the polynomial degree increased under standard stability and consistency assumptions. Stability was investigated under perturbations in the forcing term as well as under combined perturbations in the system matrix and righthand side, and explicit norm-wise error bounds were derived using classical matrix perturbation theory. Numerical experiments involving linear and nonlinear TFDEs, weakly singular solutions, multi-term operators, and benchmark test problems demonstrated that the proposed methods achieve higher accuracy than finite-difference and shifted Legendre operational matrix schemes while maintaining low computational cost.



    加载中


    [1] A. Bibi, M. ur Rehman, A numerical method for solutions of tempered fractional differential equations, J. Comput. Appl. Math., 443 (2024), 115772. http://dx.doi.org/10.1016/j.cam.2024.115772 doi: 10.1016/j.cam.2024.115772
    [2] M. D. Johansyah, A. K. Supriatna, E. Rusyaman, J. Saputra, Application of fractional differential equation in economic growth model: A systematic review approach, AIMS Math., 6 (2021), 10266–10280. http://dx.doi.org/10.3934/math.2021594 doi: 10.3934/math.2021594
    [3] J. L. Suzuki, M. Gulian, M. Zayernouri, M. D'Elia, Fractional modeling in action: A survey of nonlocal models for subsurface transport, turbulent flows, and anomalous materials, J. Peridynam. Nonlocal Model., 5 (2023), 392–459. http://dx.doi.org/10.1007/s42102-022-00085-2 doi: 10.1007/s42102-022-00085-2
    [4] J. Al Hallak, M. Alshbool, I. Hashim, Implementing Bernstein operational matrices to solve a fractional-order smoking epidemic model, Int. J. Differ. Equ., 2024 (2024), 9141971. http://dx.doi.org/10.1155/2024/9141971 doi: 10.1155/2024/9141971
    [5] J. Al Hallak, M. H. T. Alshbool, I. Hashim, Numerical solution of a fractional SEIR epidemic model using Bernstein series approximation method, AIP Confer. Proc., 3338 (2025), 040011. http://dx.doi.org/10.1063/5.0295817 doi: 10.1063/5.0295817
    [6] M. Borah, A. Gayan, J. S. Sharma, Y. Chen, Z. Wei, V. T. Pham, Is fractional-order chaos theory the new tool to model chaotic pandemics as Covid-19?, Nonlinear Dynam., 109 (2022), 1187–1215. http://dx.doi.org/10.1007/s11071-021-07196-3 doi: 10.1007/s11071-021-07196-3
    [7] T. Eriqat, R. Saadeh, A. El-Ajou, A. Qazza, M. A. N. Oqielat, A. Ghazal, A new analytical algorithm for uncertain fractional differential equations in the fuzzy conformable sense, AIMS Math., 9 (2024), 9641–9681. http://dx.doi.org/10.3934/math.2024472 doi: 10.3934/math.2024472
    [8] C. Coelho, M. F. P. Costa, L. L. Ferrás, Neural fractional differential equations, Appl. Math. Model., 144 (2025), 116060. http://dx.doi.org/10.1016/j.apm.2025.116060 doi: 10.1016/j.apm.2025.116060
    [9] M. M. Raja, V. Vijayakumar, K. C. Veluvolu, Higher-order Caputo fractional integrodifferential inclusions of Volterra–Fredholm type with impulses and infinite delay: Existence results, J. Appl. Math. Comput., 71 (2025), 4849–4874. http://dx.doi.org/10.1007/s12190-025-02412-4 doi: 10.1007/s12190-025-02412-4
    [10] M. Raja, V. Vijayakumar, K. C. Veluvolu, An analysis on approximate controllability results for impulsive fractional differential equations of order $1 < r < 2$ with infinite delay using sequence method, Math. Method. Appl. Sci., 47 (2024), 336–351. http://dx.doi.org/10.1002/mma.9657 doi: 10.1002/mma.9657
    [11] F. Sabzikar, M. M. Meerschaert, J. Chen, Tempered fractional calculus, J. Comput. Phys., 293 (2015), 14–28. http://dx.doi.org/10.1016/j.jcp.2014.04.024 doi: 10.1016/j.jcp.2014.04.024
    [12] S. Chen, J. Shen, L. L. Wang, Laguerre functions and their applications to tempered fractional differential equations on infinite intervals, J. Sci. Comput., 74 (2018), 1286–1313. http://dx.doi.org/10.1007/s10915-017-0495-7 doi: 10.1007/s10915-017-0495-7
    [13] W. Deng, Z. Zhang, Variational formulation and efficient implementation for solving the tempered fractional problems, Numer. Method. Part. Diff. Equ., 34 (2018), 1224–1257. http://dx.doi.org/10.1002/num.22254 doi: 10.1002/num.22254
    [14] A. El-Abed, S. A. Dahy, H. M. El-Hawary, T. Aboelenen, A. Fahim, High-order Chebyshev pseudospectral tempered fractional operational matrices and tempered fractional differential problems, Fractal Fract., 7 (2023), 777. http://dx.doi.org/10.3390/fractalfract7110777 doi: 10.3390/fractalfract7110777
    [15] B. Shiri, G. C. Wu, D. Baleanu, Collocation methods for terminal value problems of tempered fractional differential equations, Appl. Numer. Math., 156 (2020), 385–395. http://dx.doi.org/10.1016/j.apnum.2020.05.007 doi: 10.1016/j.apnum.2020.05.007
    [16] M. A. Zaky, Existence, uniqueness and numerical analysis of solutions of tempered fractional boundary value problems, Appl. Numer. Math., 145 (2019), 429–457. http://dx.doi.org/10.1016/j.apnum.2019.05.008 doi: 10.1016/j.apnum.2019.05.008
    [17] R. Almeida, N. Martins, J. V. da C. Sousa, Fractional tempered differential equations depending on arbitrary kernels, AIMS Math., 9 (2024), 9107–9127. http://dx.doi.org/10.3934/math.2024443 doi: 10.3934/math.2024443
    [18] A. Liemert, A. Kienle, Fundamental solution of the tempered fractional diffusion equation, J. Math. Phys., 56 (2015), 113301. http://dx.doi.org/10.1063/1.4935475 doi: 10.1063/1.4935475
    [19] J. Li, Z. Qiu, Fourth-order effective approximation of the normalized Riemann–Liouville tempered fractional derivatives and its applications, AIMS Math., 10 (2025), 17801–17831. http://dx.doi.org/10.3934/math.2025794 doi: 10.3934/math.2025794
    [20] Z. Qiu, Fourth-order high-precision algorithms for one-sided tempered fractional diffusion equations, AIMS Math., 9 (2024), 27102–27121. http://dx.doi.org/10.3934/math.20241318 doi: 10.3934/math.20241318
    [21] H. K. Dwivedi, A novel fast second order approach with high-order compact difference scheme and its analysis for the tempered fractional Burgers equation, Math. Comput. Simulat., 227 (2025), 168–188. http://dx.doi.org/10.1016/j.matcom.2024.08.003 doi: 10.1016/j.matcom.2024.08.003
    [22] H. Zhang, M. Liu, T. Guo, D. Xu, Three finite difference schemes for generalized nonlinear integro-differential equations with tempered singular kernel, Math. Comput. Simulat., 225 (2024), 1199–1217. http://dx.doi.org/10.1016/j.matcom.2024.01.026 doi: 10.1016/j.matcom.2024.01.026
    [23] C. Li, W. Deng, High order schemes for the tempered fractional diffusion equations, Adv. Comput. Math., 42 (2016), 543–572. http://dx.doi.org/10.1007/s10444-015-9434-z doi: 10.1007/s10444-015-9434-z
    [24] C. Li, W. Deng, L. Zhao, Well-posedness and numerical algorithm for the tempered fractional differential equations, Discrete Contin. Dynam. Syst.-B, 24 (2019), 1989–2015. http://dx.doi.org/10.3934/dcdsb.2019026 doi: 10.3934/dcdsb.2019026
    [25] J. Deng, L. Zhao, Y. Wu, Fast predictor–corrector approach for the tempered fractional differential equations, Numer. Algorithms, 74 (2017), 717–754. http://dx.doi.org/10.1007/s11075-016-0169-9 doi: 10.1007/s11075-016-0169-9
    [26] B. P. Moghaddam, J. A. T. Machado, A. Babaei, A computationally efficient method for tempered fractional differential equations with application, Comput. Appl. Math., 37 (2018), 3657–3671. http://dx.doi.org/10.1007/s40314-017-0522-1 doi: 10.1007/s40314-017-0522-1
    [27] A. E. Owoyemi, C. Phang, Y. T. Toh, An efficient numerical scheme for solving multiorder tempered fractional differential equations via operational matrix, J. Math., 2022 (2022), 7628592. http://dx.doi.org/10.1155/2022/7628592 doi: 10.1155/2022/7628592
    [28] N. A. Obeidat, D. E. Bentil, Novel technique to investigate the convergence analysis of the tempered fractional natural transform method applied to diffusion equations, J. Ocean Eng. Sci., 8 (2023), 636–646. http://dx.doi.org/10.1016/j.joes.2022.05.014 doi: 10.1016/j.joes.2022.05.014
    [29] S. Saifullah, A. Ali, A. Khan, K. Shah, T. Abdeljawad, A novel tempered fractional transform: theory, properties and applications to differential equations, Fractals, 31 (2023), 2340045. http://dx.doi.org/10.1142/S0218348X23400455 doi: 10.1142/S0218348X23400455
    [30] L. Zhao, W. Deng, J. S. Hesthaven, Spectral methods for tempered fractional differential equations, Math. Comput., 85 (2016), 283–318.
    [31] L. Mansouri, Z. Azimzadeh, Numerical solution of fractional delay Volterra integro-differential equations by Bernstein polynomials, Math. Sci., 17 (2023), 455–466. https://doi.org/10.1007/s40096-022-00463-3 doi: 10.1007/s40096-022-00463-3
    [32] N. Mohamed, M. A. Eltaher, S. A. Mohamed, E. Carrera, Bernstein polynomials in analyzing nonlinear forced vibration of curved fractional viscoelastic beam with viscoelastic boundaries, Acta Mech., 235 (2024), 4541–4561. https://doi.org/10.1007/s00707-024-03954-7 doi: 10.1007/s00707-024-03954-7
    [33] L. S. Salih, S. S. Ahmed, A Bernstein operational matrix approach for solving certain nonlinear Volterra–Fredholm integro-differential equations involved by Caputo fractional derivative, J. Univ. Babylon Pure Appl. Sci., 33 (2025), 309–354. https://doi.org/10.29196/jubpas.v33i3.6013 doi: 10.29196/jubpas.v33i3.6013
    [34] Z. Hu, K. Kawaguchi, Z. Zhang, G. E. Karniadakis, Tackling the curse of dimensionality in fractional and tempered fractional PDEs with physics-informed neural networks, Comput. Method. Appl. M., 432 (2024), 117448. http://dx.doi.org/10.1016/j.cma.2024.117448 doi: 10.1016/j.cma.2024.117448
    [35] M. Medve$\check{\mathrm{d}}$, E. Brestovanská, Differential equations with tempered $\psi$-Caputo fractional derivative, Math. Model. Anal., 26 (2021), 631–650. http://dx.doi.org/10.3846/mma.2021.13252 doi: 10.3846/mma.2021.13252
    [36] N. A. Obeidat, D. E. Bentil, New theories and applications of tempered fractional differential equations, Nonlinear Dynam., 105 (2021), 1689–1702. http://dx.doi.org/10.1007/s11071-021-06628-4 doi: 10.1007/s11071-021-06628-4
    [37] M. H. T. Alshbool, M. Mohammad, O. Isik, I. Hashim, Fractional Bernstein operational matrices for solving integro-differential equations involved by Caputo fractional derivative, Results Appl. Math., 14 (2022), 100258. http://dx.doi.org/10.1016/j.rinam.2022.100258 doi: 10.1016/j.rinam.2022.100258
    [38] M. H. T. Alshbool, Bernstein polynomials method for solving multi-order fractional neutral pantograph equations with error and stability analysis, Results Appl. Math., 22 (2024), 100451. http://dx.doi.org/10.1016/j.rinam.2024.100451 doi: 10.1016/j.rinam.2024.100451
    [39] N. I. N. Kamarul Bahrim, M. Y. Misro, Solving the Lane–Emden equation by using Bernstein operational matrix, Alex. Eng. J., 129 (2025), 278–288. http://dx.doi.org/10.1016/j.aej.2025.06.001 doi: 10.1016/j.aej.2025.06.001
    [40] W. Gautschi, Some elementary inequalities relating to the gamma and incomplete gamma function, J. Math. Phys., 38 (1959), 77–81.
    [41] M. Abramowitz, I. A. Stegun, Handbook of mathematical functions, Dover, New York, 1965.
    [42] C. Canuto, M. Y. Hussaini, A. Quarteroni, T. A. Zang, Spectral methods: Fundamentals in single domains, Springer, 2007.
    [43] N. Sriwastav, A. K. Barnwal, A. M. Wazwaz, M. Singh, Bernstein operational matrix of differentiation and collocation approach for a class of three-point singular BVPs: Error estimate and convergence analysis, Opusc. Math., 43 (2023), 575–601. http://dx.doi.org/10.7494/OpMath.2023.43.4.575 doi: 10.7494/OpMath.2023.43.4.575
    [44] G. G. Lorentz, Bernstein polynomials, American Mathematical Society, Providence, RI, 2012.
    [45] T. Zhao, Efficient spectral collocation method for tempered fractional differential equations, Fractal Fract., 7 (2023), 277. http://dx.doi.org/10.3390/fractalfract7030277 doi: 10.3390/fractalfract7030277
    [46] N. J. Higham, Accuracy and stability of numerical algorithms, SIAM, Philadelphia, 2002. http://dx.doi.org/10.1137/1.9780898718027
    [47] G. H. Golub, C. F. Van Loan, Matrix computations, 4 Eds., Johns Hopkins University Press, Baltimore, 2013.
    [48] G. W. Stewart, Perturbation theory for the singular value decomposition, Technical Report CS-TR-2539, University of Maryland, 1990.
    [49] M. Khuddush, K. R. Prasad, Existence, uniqueness and stability analysis of a tempered fractional order thermistor boundary value problems, J. Anal., 31 (2023), 85–107. http://dx.doi.org/10.1007/s41478-022-00438-6 doi: 10.1007/s41478-022-00438-6
    [50] M. S. Heris, M. Javidi, A predictor–corrector scheme for the tempered fractional differential equations with uniform and non-uniform meshes, J. Supercomput., 75 (2019), 8168–8206. http://dx.doi.org/10.1007/s11227-019-02979-3 doi: 10.1007/s11227-019-02979-3
    [51] M. L. Morgado, M. Rebelo, Well-posedness and numerical approximation of tempered fractional terminal value problems, Fract. Calc. Appl. Anal., 20 (2017), 1239–1262. http://dx.doi.org/10.1515/fca-2017-0065 doi: 10.1515/fca-2017-0065
  • Reader Comments
  • © 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(118) PDF downloads(34) Cited by(0)

Article outline

Figures and Tables

Figures(5)  /  Tables(8)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog