A novel method based on fractional order Gegenbauer wavelet operational matrix for the solutions of the multi-term time-fractional telegraph equation of distributed order

被引:4
|
作者
Marasi, H. R. [1 ,2 ]
Derakhshan, M. H. [1 ]
Ghuraibawi, Amer A. [1 ]
Kumar, Pushpendra [3 ]
机构
[1] Univ Tabriz, Fac Math Stat & Comp Sci, Dept Appl Math, Tabriz, Iran
[2] Univ Tabriz, Res Dept Computat Algorithms & Math Models, Tabriz, Iran
[3] Univ Johannesburg, Inst Future Knowledge, POB 524, ZA-2006 Auckland Pk, South Africa
关键词
Fractional-order Gegenbauer wavelet; Distributed order; Legendre-Gauss quadrature; Telegraph equation; Tau method; DIFFERENCE-SCHEMES; DIFFUSION EQUATION; NUMERICAL-SOLUTION; SPECTRAL METHOD; APPROXIMATION; GALERKIN; MODEL;
D O I
10.1016/j.matcom.2023.11.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this article, we propose an effective scheme based on a combination of the Tau method and fractional -order Gegenbauer wavelets for solving the multi -term time -fractional differential equations of distributed order. First, we define fractional order Gegenbauer wavelets and then obtain operational matrices of these orthogonal functions. Applying the Legendre-Gauss quadrature for the integral term, we use function approximations obtained by the presented wavelets and the Tau method for the solution of the distributed -order multi -term time -fractional telegraph equation. The proposed method reduces the numerical solution of multi order timefractional equations to a system of algebraic equations. Then, the convergence analysis and error bounds of the proposed scheme are studied. Three illustrative examples are solved to justify the effectiveness of the proposed method compared with some previously published results.
引用
收藏
页码:405 / 424
页数:20
相关论文
共 50 条
  • [1] AN EFFECTIVE METHOD FOR SOLVING THE MULTI TIME-FRACTIONAL TELEGRAPH EQUATION OF DISTRIBUTED ORDER BASED ON THE FRACTIONAL ORDER GEGENBAUER WAVELET
    Park, C.
    Rezaei, H.
    Derakhshan, M. H.
    APPLIED AND COMPUTATIONAL MATHEMATICS, 2025, 24 (01) : 16 - 37
  • [2] Time-fractional telegraph equation of distributed order in higher dimensions
    Vieira, N.
    Rodrigues, M. M.
    Ferreira, M.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2021, 102
  • [3] Numerical Solutions for Multi-Term Fractional Order Differential Equations with Fractional Taylor Operational Matrix of Fractional Integration
    Avci, Ibrahim
    Mahmudov, Nazim I.
    MATHEMATICS, 2020, 8 (01)
  • [4] Time-fractional telegraph equation of distributed order in higher dimensions with Hilfer fractional derivatives
    Vieira, Nelson
    Rodrigues, M. Manuela
    Ferreira, Milton
    ELECTRONIC RESEARCH ARCHIVE, 2022, 30 (10): : 3595 - 3631
  • [5] A Fractional-order Quasi-reversibility Method to a Backward Problem for the Multi-term Time-fractional Diffusion Equation
    Sun, Liangliang
    Wang, Yuxin
    Chang, Maoli
    TAIWANESE JOURNAL OF MATHEMATICS, 2023, 27 (06): : 1185 - 1210
  • [6] Novel and accurate Gegenbauer spectral tau algorithms for distributed order nonlinear time-fractional telegraph models in multi-dimensions
    Ahmed, Hoda F.
    Hashem, W. A.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2023, 118
  • [7] A high-order space-time spectral method for the distributed-order time-fractional telegraph equation
    Derakhshan, M. H.
    Kumar, Pushpendra
    Salahshour, Soheil
    INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL, 2024, 12 (08) : 2778 - 2794
  • [8] A kernel-based pseudo-spectral method for multi-term and distributed order time-fractional diffusion equations
    Fardi, Mojtaba
    NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2023, 39 (03) : 2630 - 2651
  • [9] Improved Gegenbauer spectral tau algorithms for distributed-order time-fractional telegraph models in multi-dimensions
    Ahmed, Hoda F.
    Hashem, W. A.
    NUMERICAL ALGORITHMS, 2023, 93 (03) : 1013 - 1043
  • [10] A high-order spectral method for the multi-term time-fractional diffusion equations
    Zheng, M.
    Liu, F.
    Anh, V.
    Turner, I.
    APPLIED MATHEMATICAL MODELLING, 2016, 40 (7-8) : 4970 - 4985