A modified compact ADI method and its extrapolation for two-dimensional fractional subdiffusion equations

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Abstract

A modified Crank–Nicolson-type compact alternating direction implicit (ADI) finite difference method is proposed for a class of two-dimensional fractional subdiffusion equations with a time Riemann–Liouville fractional derivative of order (1 - α) (0 < α< 1). This method improves the known compact ADI methods in the sense that it is based on the L1 approximation for the fractional derivative, the truncation errors on all time levels have the same order of O(τ2α+hx4+hy4) and the optimal error estimate O(τ2α+hx4+hy4) can be easily obtained in the standard H1- and L2-norms and the weighted L-norm. The unique solvability, unconditional stability and convergence of the resulting scheme are rigorously proved. A Richardson extrapolation algorithm is presented to increase the temporal accuracy from the order 2 α to the order min { 1 + α, 4 α}. Numerical results demonstrate the accuracy of the modified compact ADI method and the high efficiency of the Richardson extrapolation algorithm.

Original languageEnglish
Pages (from-to)439-476
Number of pages38
JournalJournal of Applied Mathematics and Computing
Volume52
Issue number1-2
DOIs
StatePublished - 1 Oct 2016

Keywords

  • Compact ADI method
  • Error estimate
  • Finite difference scheme
  • Fractional subdiffusion equation
  • Richardson extrapolation

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