Issue |
ESAIM: M2AN
Volume 51, Number 1, January-February 2017
|
|
---|---|---|
Page(s) | 89 - 113 | |
DOI | https://doi.org/10.1051/m2an/2016017 | |
Published online | 28 November 2016 |
An analysis of galerkin proper orthogonal decomposition for subdiffusion
1 Department of Computer Science, University College London,
Gower Street, London WC1E 6BT, UK.
b.jin@ucl.ac.uk; bangti.jin@gmail.com
2 Department of Applied Physics and Applied Mathematics,
Columbia University, 10027 New York, USA.
zhizhou0125@gmail.com
Received:
25
August
2015
Revised:
26
January
2016
Accepted:
8
March
2016
In this work, we develop a novel Galerkin-L1-POD scheme for the subdiffusion model with a Caputo fractional derivative of order α ∈ (0,1) in time, which is often used to describe anomalous diffusion processes in heterogeneous media. The nonlocality of the fractional derivative requires storing all the solutions from time zero. The proposed scheme is based on continuous piecewise linear finite elements, L1 time stepping, and proper orthogonal decomposition (POD). By constructing an effective reduced-order model using problem-adapted basis functions, it can significantly reduce the computational complexity and storage requirement. We shall provide a complete error analysis of the scheme under realistic regularity assumptions by means of a novel energy argument. Extensive numerical experiments are presented to verify the convergence analysis and the efficiency of the proposed scheme.
Mathematics Subject Classification: 65M60 / 65M15
Key words: Fractional diffusion / energy argument / proper orthogonal decomposition / error estimates
© EDP Sciences, SMAI 2016
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.