Abstract
Using bivariate generating functions, we prove convergence of the Grünwald-Letnikov difference scheme for the fractional diffusion equation (in one space dimension) with and without central linear drift in the Fourier-Laplace domain as the space and time steps tend to zero in a well-scaled way. This implies convergence in distribution (weak convergence) of the discrete solution towards the probability of sojourn of a diffusing particle. The difference schemes allow also interpretation as discrete random walks. For fractional diffusion with central linear drift we show that in the Fourier-Laplace domain the limiting ordinary differential equation coincides with that for the solution of the corresponding diffusion equation.
| Original language | English |
|---|---|
| Pages (from-to) | 871-881 |
| Number of pages | 11 |
| Journal | Journal of Computational and Applied Mathematics |
| Volume | 205 |
| Issue number | 2 |
| DOIs | |
| State | Published - 15 Aug 2007 |
| Externally published | Yes |
Keywords
- Convergence in distribution
- Difference schemes
- Fractional derivative
- Fractional diffusion
- Potential well
- Stochastic processes
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics
Fingerprint
Dive into the research topics of 'Convergence of the Grünwald-Letnikov scheme for time-fractional diffusion'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver