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author:

Yu, Q.;, Turner, I.;, Liu, F.;, Moroney, T. (Yu, Q.;, Turner, I.;, Liu, F.;, Moroney, T..) [1]

Indexed by:

Scopus

Abstract:

The distributed-order time fractional diffusion model with Dirichlet nonhomogeneous boundary conditions on a finite domain is considered. Four choices of continuous distribution weight functions with mean μ and standard deviation σ are investigated to study their impact on both the short-time and long-time solution behavior. An implicit numerical method implemented on a graded mesh is proposed to solve the model and the stability and convergence analysis are presented. Semi-analytic solutions are also derived for these distributions to assess the accuracy of the scheme. Numerical results highlight that the four continuous distribution weight functions produce a short-time solution behavior that is consistent with those solutions from the classical time fractional partial differential equation with fractional order γ* = μ. There are however long-time differences in the solution behavior that become more distinguishable as σ increases. In particular, we find a smaller value of σ produces more diffuse profiles and the diffusion rate slows as σ increases. Furthermore, the asymptotic behavior of the solution may be influenced by the time-fractional orders ranging between the smallest nonzero weight order and mean μ for the continuous uniform and raised cosine distribution weight functions, respectively. Similar findings are also observed for the truncated normal and beta distributions. © 2022 Wiley Periodicals LLC.

Keyword:

beta distribution continuous uniform distribution distributed-order time fractional diffusion model graded mesh nonhomogeneous boundary conditions raised cosine distribution truncated normal distribution

Community:

  • [ 1 ] [Yu Q.]School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
  • [ 2 ] [Turner I.]School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
  • [ 3 ] [Turner I.]Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology, Brisbane, QLD, Australia
  • [ 4 ] [Liu F.]School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
  • [ 5 ] [Liu F.]School of Mathematics and Statistics, Fuzhou University, Fujian, Fuzhou, China
  • [ 6 ] [Moroney T.]School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia

Reprint 's Address:

  • [Yu, Q.]School of Mathematical Sciences, GPO Box 2434, Australia

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Source :

Numerical Methods for Partial Differential Equations

ISSN: 0749-159X

Year: 2023

Issue: 1

Volume: 39

Page: 383-420

2 . 1

JCR@2023

2 . 1 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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