Research article Special Issues

An operational treatment for two-dimensional time-fractional Gray-Scott models

  • Published: 28 February 2026
  • MSC : 65L05, 65R20, 65N35, 65L03

  • Due to the poor regularity of solutions to time-fractional partial differential equations, traditional spectral approaches typically suffer from significant accuracy reductions when applied in the time domain. To overcome this problem, in this paper, we applied a spectral approach based on a new set of basis functions, which are smooth in the spatial direction and non-smooth in the time direction. The spectral collocation approach was used combined with the operational matrix approach based on the new set of basis functions to solve two-dimensional time-fractional Gray-Scott models. Applying the operational technique reduces the computations of the full scheme and achieves significant accuracy by using a small number of these functions. Numerical results confirmed the high accuracy of the proposed approach when applied for smooth and non-smooth solutions.

    Citation: Samer S. Ezz-Eldien, Ali H. Tedjani, Amra Al Kenany, Marwa Alzubaidi. An operational treatment for two-dimensional time-fractional Gray-Scott models[J]. AIMS Mathematics, 2026, 11(2): 5246-5269. doi: 10.3934/math.2026215

    Related Papers:

  • Due to the poor regularity of solutions to time-fractional partial differential equations, traditional spectral approaches typically suffer from significant accuracy reductions when applied in the time domain. To overcome this problem, in this paper, we applied a spectral approach based on a new set of basis functions, which are smooth in the spatial direction and non-smooth in the time direction. The spectral collocation approach was used combined with the operational matrix approach based on the new set of basis functions to solve two-dimensional time-fractional Gray-Scott models. Applying the operational technique reduces the computations of the full scheme and achieves significant accuracy by using a small number of these functions. Numerical results confirmed the high accuracy of the proposed approach when applied for smooth and non-smooth solutions.



    加载中


    [1] A. N. Landge, B. M. Jordan, X. Diego, P. Müller, Pattern formation mechanisms of self-organizing reaction-diffusion systems, Dev. Biol., 460 (2020), 2–11. https://doi.org/10.1016/j.ydbio.2019.10.031 doi: 10.1016/j.ydbio.2019.10.031
    [2] N. Luo, S. Wang, L. You, Synthetic pattern formation, Biochemistry, 58 (2019), 1478–1483. https://doi.org/10.1021/acs.biochem.8b01242
    [3] S. S. Ezz-Eldien, On solving fractional logistic population models with applications, Comput. Appl. Math., 37 (2018), 6392–6409. https://doi.org/10.1007/s40314-018-0693-4 doi: 10.1007/s40314-018-0693-4
    [4] J. S. Moreno, Y. Schaerli, Using synthetic biology to engineer spatial patterns, Adv. Biosyst., 3 (2019), 1800280. https://doi.org/10.1002/adbi.201800280 doi: 10.1002/adbi.201800280
    [5] M. A. Zaky, A linearized two-dimensional Galerkin–L1 spectral method with diagonalization for time-fractional diffusion equations with delay, Appl. Numer. Math., 220 (2026), 1–12. https://doi.org/10.1016/j.apnum.2025.09.008 doi: 10.1016/j.apnum.2025.09.008
    [6] R. G. Coss, E. P. Charles, The saliency of snake scales and leopard rosettes to infants: Its relevance to graphical patterns portrayed in prehistoric art, Front. Psychol., 12 (2021), 1–11. https://doi.org/10.3389/fpsyg.2021.763436 doi: 10.3389/fpsyg.2021.763436
    [7] A. M. Turing, The chemical basis of morphogenesis, B. Math. Biol., 52 (1990), 153–197. https://doi.org/10.1098/rstb.1952.0012 doi: 10.1098/rstb.1952.0012
    [8] K. Wang, W. Wang, Propagation of HBV with spatial dependence, Math. Biosci., 210 (2007), 78–95. https://doi.org/10.1016/j.mbs.2007.05.004 doi: 10.1016/j.mbs.2007.05.004
    [9] T. Fromenteze, O. Yurduseven, C. Uche, E. Arnaud, D. R. Smith, C. Decroze, Morphogenetic metasurfaces: Unlocking the potential of Turing patterns, Nat. Commun., 14 (2023), 6249. https://doi.org/10.1038/s41467-023-41775-9 doi: 10.1038/s41467-023-41775-9
    [10] F. Giampaolo, M. D. Rosa, P. Qi, S. Izzo, S. Cuomo, Physics-informed neural networks approach for 1D and 2D Gray-Scott systems, Adv. Model. Simul. Eng., 9 (2022), 5. https://doi.org/10.1186/s40323-022-00219-7 doi: 10.1186/s40323-022-00219-7
    [11] E. Pindza, K. M. Owolabi, Fourier spectral method for higher order space fractional reaction–diffusion equations, Commun. Nonlinear Sci., 40 (2016), 112–128. https://doi.org/10.1016/j.cnsns.2016.04.020 doi: 10.1016/j.cnsns.2016.04.020
    [12] M. Alqhtani, K. M. Owolabi, K. M. Saad, Spatiotemporal (target) patterns in sub-diffusive predator-prey system with the Caputo operator, Chaos Soliton. Fract., 160 (2022), 112267. https://doi.org/10.1016/j.chaos.2022.112267 doi: 10.1016/j.chaos.2022.112267
    [13] M. Alqhtani, K. M. Owolabi, K. M. Saad, E. Pindza, Efficient numerical techniques for computing Riesz fractional-order reaction-diffusion models arising in biology, Chaos Soliton. Fract., 161 (2022), 112394. https://doi.org/10.1016/j.chaos.2022.112394 doi: 10.1016/j.chaos.2022.112394
    [14] R. M. Hafez, S. S. Ezz-Eldien, A. H. Bhrawy, E. A. Ahmed, D. Baleanu, A Jacobi Gauss-Lobatto and Gauss-Radau collocation algorithm for solving fractional Fokker-Planck equations, Nonlinear Dynam., 82 (2015), 1431–1440. https://doi.org/10.1007/s11071-015-2250-7. doi: 10.1007/s11071-015-2250-7
    [15] M. M. Alsuyuti, E. H. Doha, S. S. Ezz-Eldien, Numerical simulation for classes of one- and two-dimensional multi-term time-fractional diffusion and diffusion-wave equation based on shifted Jacobi Galerkin scheme, Math. Method. Appl. Sci., 48 (2025), 8217–8244. https://doi.org/10.1002/mma.9659 doi: 10.1002/mma.9659
    [16] G. S. Yi, J. Wang, X. L. Wei, B. Deng, Dynamics of spike threshold in a two-compartment neuron with passive dendrite, Commun. Nonlinear Sci., 40 (2016), 100–111. https://doi.org/10.1016/j.cnsns.2016.04.021 doi: 10.1016/j.cnsns.2016.04.021
    [17] C. Han, X. Lu, Novel patterns in the space variable fractional order Gray-Scott model, Nonlinear Dynam., 112 (2024), 16135–16151. https://doi.org/10.1007/s11071-024-09857-5 doi: 10.1007/s11071-024-09857-5
    [18] S. Momani, I. M. Batiha, I. Bendib, A. Ouannas, A. Hioual, D. Mohamed, Examining finite-time behaviors in the fractional Gray-Scott model: Stability, synchronization, and simulation analysis, Int. J. Cogn. Comput. Eng., 6 (2025), 380–390. https://doi.org/10.1016/j.ijcce.2025.02.004 doi: 10.1016/j.ijcce.2025.02.004
    [19] T. Wang, F. Song, H. Wang, G. E. Karniadakis, Fractional Gray-Scott model: Well-posedness, discretization, and simulations, Comput. Method. Appl. M., 347 (2019), 1030–1049. https://doi.org/10.1016/j.cma.2019.01.002 doi: 10.1016/j.cma.2019.01.002
    [20] C. Han, Y. L. Wang, Z. Y. Li, A high-precision numerical approach to solving space fractional Gray-Scott model, Appl. Math. Lett., 125 (2022), 107759. https://doi.org/10.1016/j.aml.2021.107759 doi: 10.1016/j.aml.2021.107759
    [21] L. Chai, Y. Liu, H. Li, W. Gao, Fast TT-M fourth-order compact difference schemes for a two-dimensional space fractional Gray-Scott model, Comput. Math. Appl., 141 (2023), 191–206. https://doi.org/10.1016/j.camwa.2023.04.039 doi: 10.1016/j.camwa.2023.04.039
    [22] S. Aljhani, M. S. MD, K. M. Saad, A. K. Alomari, Numerical solutions of certain new models of the time-fractional Gray-Scott, J. Funct. Space., 2021 (2021), 2544688. https://doi.org/10.1155/2021/2544688 doi: 10.1155/2021/2544688
    [23] H. Sakariya, S. Kumar, Numerical simulation of the time fractional Gray-Scott model on 2D space domains using radial basis functions, J. Math. Chem., 62 (2024), 836–864. https://doi.org/10.1007/s10910-023-01571-8 doi: 10.1007/s10910-023-01571-8
    [24] M. A. Zaky, O. A. Arqub, Improved spectral method for the nonsmooth solutions of nonlinear fractional differential equations, J. Appl. Math. Comput., 71 (2025), 9173–9190. https://doi.org/10.1007/s12190-025-02633-7 doi: 10.1007/s12190-025-02633-7
    [25] M. A. Zaky, I. G. Ameen, O. A. Arqub, E. H. Doha, High-order fractional spectral collocation method for the nonsmooth solutions of nonlinear right-sided Caputo terminal value problems, Fract. Calc. Appl. Anal., 28 (2025), 3189–3210. https://doi.org/10.1007/s13540-025-00464-8 doi: 10.1007/s13540-025-00464-8
    [26] A. H. Bhrawy, M. A. Zaky, Shifted fractional-order Jacobi orthogonal functions: Application to a system of fractional differential equations, Appl. Math. Model., 40 (2016), 832–845. https://doi.org/10.1016/j.apm.2015.06.012 doi: 10.1016/j.apm.2015.06.012
    [27] M. A. Zaky, E. H. Doha, J. A. T. Machado, A spectral framework for fractional variational problems based on fractional Jacobi functions, Appl. Numer. Math., 132 (2018), 51–72. https://doi.org/10.1016/j.apnum.2018.05.009 doi: 10.1016/j.apnum.2018.05.009
    [28] H. Moussa, M. A. Saker, M. A. Zaky, M. Babatin, S. S. Ezz-Eldien, Mapped Legendre-spectral method for high-dimensional multi-term time-fractional diffusion-wave equation with non-smooth solution, Comput. Appl. Math., 44 (2025), 167. https://doi.org/10.1007/s40314-025-03123-z doi: 10.1007/s40314-025-03123-z
    [29] S. S. Ezz-Eldien, E. H. Doha, Y. Wang, W. Cai, A numerical treatment of the two-dimensional multi-term time-fractional mixed sub-diffusion and diffusion-wave equation, Commun. Nonlinear Sci., 91 (2021), 105445. https://doi.org/10.1016/j.cma.2025.115161 doi: 10.1016/j.cma.2025.115161
    [30] E. H. Doha, Explicit formulae for the coefficients of integrated expansions of Jacobi polynomials and their integrals, Integr. Transf. Spec. F., 14 (2003), 69–86. https://doi.org/10.1080/10652460304541 doi: 10.1080/10652460304541
    [31] X. Deng, C. Ou, Z. Wang, S. Vong, A fitted scheme for the nonlinear time fractional Gray-Scott model with nonsmooth solutions, J. Appl. Math. Comput., 71 (2025), 6621–6650. https://doi.org/10.1007/s12190-025-02552-7 doi: 10.1007/s12190-025-02552-7
  • 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(120) PDF downloads(16) Cited by(0)

Article outline

Figures and Tables

Figures(11)  /  Tables(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog