10.1007/s40096-021-00430-4

A Legendre spectral-finite difference method for Caputo–Fabrizio time-fractional distributed-order diffusion equation

  1. Department of Applied Mathematics, Faculty of Mathematical Science, Shahrekord University, Shahrekord, IR

Published in Issue 2021-09-08

How to Cite

Fardi, M., & Alidousti, J. (2021). A Legendre spectral-finite difference method for Caputo–Fabrizio time-fractional distributed-order diffusion equation. Mathematical Sciences, 16(4 (December 2022). https://doi.org/10.1007/s40096-021-00430-4

Abstract

Abstract In this paper, we introduce a hybrid method based on a finite difference method and a spectral method for solving the multi-term time-fractional diffusion equations (TFDEs) based on Caputo–Fabrizio fractional operator. We apply a finite difference scheme for discretizing the time derivatives and consider a Legendre-spectral approximation in space discretization to semi-discrete problem. It is known that the spectral method has been an efficient tool for computing numerical solutions of differential equations because of its high-order accuracy. We discuss the convergence of the proposed method in discrete L2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L^{2}$$\end{document} -norm. Furthermore, we extend the multi-term TFDE to the distributed order and analyze the method for the considered equation. In the end, we confirm the proven theoretical results with the help of some numerical examples.

Keywords

  • Multi-term,
  • Distributed order,
  • Time-fractional,
  • Diffusion equation,
  • Caputo–Fabrizio derivative,
  • Error analysis

References

  1. Machado, J.A.T., Kiryakova, V.: Recent history of the fractional calculus: data and statistics. Basic Theory 1–22 (2019)
  2. Hifer (2000) World Scientific https://doi.org/10.1142/3779
  3. Kilbas et al. (2006) Elsevier
  4. Diethelm (2010) Springer https://doi.org/10.1007/978-3-642-14574-2
  5. Ortigueira (2011) Springer https://doi.org/10.1007/978-94-007-0747-4
  6. Oldham and Spanier (1974) Academic Press
  7. Podlubny (1999) Academic Press
  8. Metzler and Klafter (2000) The random walks guide to anomalous diffusion: a fractional dynamics approach 339(1) (pp. 1-77) https://doi.org/10.1016/S0370-1573(00)00070-3
  9. Hao and Cao (2017) An improved algorithm based on finite difference schemes for fractional boundary value problems with nonsmooth solution 73(1) (pp. 395-415) https://doi.org/10.1007/s10915-017-0417-8
  10. Hao et al. (2015) A fourth-order approximation of fractional derivatives with its applications (pp. 787-805) https://doi.org/10.1016/j.jcp.2014.10.053
  11. Meerschaert and Tadjeran (2004) Finite difference approximations for fractional advection-dispersion flow equations 172(1) (pp. 65-77) https://doi.org/10.1016/j.cam.2004.01.033
  12. Tian et al. (2015) A class of second order difference approximations for solving space fractional diffusion equations 84(294) (pp. 1703-1727) https://doi.org/10.1090/S0025-5718-2015-02917-2
  13. Wang and Basu (2012) A fast finite difference method for two-dimensional space-fractional diffusion equations 34(5) (pp. A2444-A2458) https://doi.org/10.1137/12086491X
  14. Zhao et al. (2020) A Crank-Nicolson finite volume element method for time fractional Sobolev equations on triangular grids 8(9) https://doi.org/10.3390/math8091591
  15. Zhao et al. (2017) A Galerkin finite element method for a class of time-space fractional differential equation with nonsmooth data 70(1) (pp. 386-406) https://doi.org/10.1007/s10915-015-0107-3
  16. Yin et al. (2020) A class of shifted high-order numerical methods for the fractional mobile/immobile transport equations
  17. Hao et al. (2018) Finite element method for two-sided fractional differential equations with variable coefficients: Galerkin approach 79(2) (pp. 700-717) https://doi.org/10.1007/s10915-018-0869-5
  18. Wang and Yang (2013) Wellposedness of variable-coefficient conservative fractional elliptic differential equations 51(2) (pp. 1088-1107) https://doi.org/10.1137/120892295
  19. Wen et al. (2021) Fast second-order time two-mesh mixed finite element method for a nonlinear distributed-order sub-diffusion model https://doi.org/10.1007/s11075-020-01048-8
  20. Zeng et al. (2017) A generalized spectral collocation method with tunable accuracy for fractional differential equations with end-point singularities 39(1) https://doi.org/10.1137/16M1076083
  21. Zhang et al. (2015) Optimal error estimates of spectral Petrov-Galerkin and collocation methods for initial value problems of fractional differential equations 53(4) (pp. 2074-2096) https://doi.org/10.1137/140988218
  22. Ervin et al. (2018) Regularity of the solution to 1-D fractional order diffusion equations 87(313) (pp. 2273-2294) https://doi.org/10.1090/mcom/3295
  23. Huang et al. (2016) Optimal fractional integration preconditioning and error analysis of fractional collocation method using nodal generalized Jacobi functions 54(6) (pp. 3357-3387) https://doi.org/10.1137/16M1059278
  24. Xu (2010) Existence and uniqueness of the weak solution of the space-time fractional diffusion equation and a spectral method approximation 8(5) (pp. 1016-1051) https://doi.org/10.4208/cicp.020709.221209a
  25. Mao et al. (2016) Efficient and accurate spectral method using generalized Jacobi functions for solving Riesz fractional differential equations (pp. 165-181) https://doi.org/10.1016/j.apnum.2016.04.002
  26. Xu and Hesthaven (2014) Discontinuous Galerkin method for fractional convection–diffusion equations 52(1) (pp. 405-423) https://doi.org/10.1137/130918174
  27. Simmons et al. (2017) A finite volume method for two-sided fractional diffusion equations on non-uniform meshes (pp. 747-759) https://doi.org/10.1016/j.jcp.2017.01.061
  28. Zhao et al. (2020) Finite volume element method with the WSGD formula for nonlinear fractional mobile/immobile transport equations 2020(1) (pp. 1-20) https://doi.org/10.1186/s13662-020-02786-8
  29. Caputo (2001) Distributed order differential equations modelling dielectric induction and diffusion (pp. 421-442)
  30. Jiao et al. (2012) Springer https://doi.org/10.1007/978-1-4471-2852-6
  31. Chechkin et al. (2002) Retarding subdiffusion and accelerating superdiffusion governed by distributed-order fractional diffusion equations https://doi.org/10.1103/PhysRevE.66.046129
  32. Kochubei (2008) Distributed order calculus and equations of ultraslow diffusion (pp. 252-281) https://doi.org/10.1016/j.jmaa.2007.08.024
  33. Mark and Nane (2011) Distributed-order fractional diffusions on bounded domains (pp. 216-228) https://doi.org/10.1016/j.jmaa.2010.12.056
  34. Eab and Lim (2011) Fractional Langevin equations of distributed order https://doi.org/10.1103/PhysRevE.83.031136
  35. Katsikadelis (2014) Numerical solution of distributed order fractional differential equations (pp. 11-22) https://doi.org/10.1016/j.jcp.2013.11.013
  36. Ye et al. (2015) Numerical analysis for the time distributed-order and Riesz space fractional diffusions on bounded domains (pp. 825-838)
  37. Morgado and Rebelo (2015) Numerical approximation of distributed order reaction–diffusion equations (pp. 216-227) https://doi.org/10.1016/j.cam.2014.07.029
  38. Gao and Sun (2016) Two unconditionally stable and convergent difference schemes with the extrapolation method for the one-dimensional distributed-order differential equations (pp. 591-615) https://doi.org/10.1002/num.22020
  39. Gao et al. (2015) Some high-order difference schemes for the distributed-order differential equations 298(1) (pp. 337-359) https://doi.org/10.1016/j.jcp.2015.05.047
  40. Bu et al. (2017) Finite difference/finite element methods for distributed-order time fractional diffusion equations 72(1) https://doi.org/10.1007/s10915-017-0360-8
  41. Li and Wu (2016) A numerical method for solving distributed order diffusion equations (pp. 92-99) https://doi.org/10.1016/j.aml.2015.10.009
  42. Yin et al. (2021) Approximation methods for the distributed order calculus using the convolution quadrature 26(3) (pp. 1447-1468)
  43. Lin et al. (2010) Finite difference/spectral approximations for the fractional cable equation 80(275) (pp. 1369-1396) https://doi.org/10.1090/S0025-5718-2010-02438-X
  44. Lin and Xu (2007) Finite difference/spectral approximations for the time-fractional diffusion equation 225(2) (pp. 1533-1552) https://doi.org/10.1016/j.jcp.2007.02.001
  45. Caputo and Fabrizio (2015) A new definition of fractional derivative without singular kernel 1(2) (pp. 1-13)
  46. Losada and Nieto (2015) Properties of a new fractional derivative without singular kernel 1(2) (pp. 87-92)
  47. Caputo and Fabrizio (2016) Applications of new time and spatial fractional derivatives with exponential kernels 2(1) (pp. 1-11) https://doi.org/10.18576/pfda/020101
  48. Alkahtani and Atangana (2016) Controlling the wave movement on the surface of shallow water with the Caputo–Fabrizio derivative with fractional order (pp. 539-546) https://doi.org/10.1016/j.chaos.2016.03.012
  49. Singh et al. (2017) A new fractional model for giving up smoking dynamics 2017(1) (pp. 1-16) https://doi.org/10.1186/s13662-017-1139-9
  50. Gómez-Aguilar et al. (2017) Chaos in a cancer model via fractional derivatives with exponential decay and Mittag–Leffler law 19(12) https://doi.org/10.3390/e19120681
  51. Singh et al. (2018) A fractional epidemiological model for computer viruses pertaining to a new fractional derivative (pp. 504-515)
  52. Al-Khedhairi (2019) Dynamical analysis and chaos synchronization of a fractional-order novel financial model based on Caputo–Fabrizio derivative 134(10) https://doi.org/10.1140/epjp/i2019-12878-4
  53. Dokuyucu et al. (2018) Cancer treatment model with the Caputo–Fabrizio fractional derivative 133(3) (pp. 1-6)
  54. Bushnaq et al. (2018) Mathematical analysis of HIV/AIDS infection model with Caputo–Fabrizio fractional derivative 5(1) https://doi.org/10.1080/23311835.2018.1432521
  55. Dubey, R., Baleanu, D., Mishra, M., Goswami, P.: Solution of modified Bergmans minimal blood glucose insulin model using Caputo–Fabrizio fractional derivative.
  56. https://doi.org/10.22541/au.159446913.31343500
  57. (2020)
  58. Baleanu et al. (2020) A new study on the mathematical modelling of human liver with Caputo–Fabrizio fractional derivative https://doi.org/10.1016/j.chaos.2020.109705
  59. Qureshi and Yusuf (2019) Fractional derivatives applied to MSEIR problems: comparative study with real world data 134(4) https://doi.org/10.1140/epjp/i2019-12661-7
  60. Atanackovic (2002) A generalized model for the uniaxial isothermal deformation of a viscoelastic body 159(1–4) (pp. 77-86) https://doi.org/10.1007/BF01171449
  61. Atanackovic et al. (2005) On a fractional distributed-order oscillator 38(30) (pp. 6703-6713) https://doi.org/10.1088/0305-4470/38/30/006
  62. Atanackovic et al. (2009) Time distributed-order diffusion-wave equation. II. Applications of Laplace and Fourier transformations 465(2106) (pp. 1893-1917)
  63. Atanackovic et al. (2010) Distributed-order fractional wave equation on a finite domain: creep and forced oscillations of a rod 23(4) (pp. 305-318) https://doi.org/10.1007/s00161-010-0177-2
  64. Diethelm and Ford (2009) Numerical analysis for distributed-order differential equations 225(1) (pp. 96-104) https://doi.org/10.1016/j.cam.2008.07.018
  65. Atangana and Nieto (2015) Numerical solution for the model of RLC circuit via the fractional derivative without singular kernel 7(10) https://doi.org/10.1177/1687814015613758
  66. Qureshi et al. (2019) Fractional modeling of blood ethanol concentration system with real data application 29(1) https://doi.org/10.1063/1.5082907
  67. Qureshi and Atangana (2019) Mathematical analysis of dengue fever outbreak by novel fractional operators with field data https://doi.org/10.1016/j.physa.2019.121127
  68. Atangana and Qureshi (2019) Modeling attractors of chaotic dynamical systems with fractal-fractional operators (pp. 320-337) https://doi.org/10.1016/j.chaos.2019.04.020
  69. Qureshi and Yusuf (2019) Modeling chickenpox disease with fractional derivatives: from caputo to atangana-baleanu (pp. 111-118) https://doi.org/10.1016/j.chaos.2019.03.020
  70. Liu et al. (2018) A second finite difference scheme for quasilinear time fractional parabolic equation based on new fractional derivative (pp. 396-411) https://doi.org/10.1080/00207160.2017.1290434
  71. Bernardi and Maday (1992) Springer
  72. Tomovski and Sandev (2018) Distributed-order wave equations with composite time fractional derivative 95(6–7) (pp. 1100-1113) https://doi.org/10.1080/00207160.2017.1366465
  73. Luchko (2009) Boundary value problems for the generalized time-fractional diffusion equation of distributed order 12(4) (pp. 409-422)