Time-stepping discontinuous Galerkin methods for fractional diffusion problems
Kassem Mustapha

TL;DR
This paper develops and analyzes time-stepping discontinuous Galerkin methods for fractional subdiffusion problems, demonstrating stability, error estimates, and exponential convergence rates with numerical validation.
Contribution
It introduces and rigorously analyzes $hp$-version DG methods for fractional diffusion, including stability, error bounds, and exponential convergence results.
Findings
Error order of $O(k^{ ext{max}\{2,p\}+rac{ ext{ extalpha}}{2}})$ for $h$-version DG on graded meshes
Exponential convergence rates achieved with geometrically refined time-steps and increasing polynomial degrees
Numerical tests confirm theoretical error estimates and convergence rates
Abstract
Time-stepping -versions discontinuous Galerkin (DG) methods for the numerical solution of fractional subdiffusion problems of order with will be proposed and analyzed. Generic -version error estimates are derived after proving the stability of the approximate solution. For -version DG approximations on appropriate graded meshes near, we prove that the error is of order, where is the maximum time-step size and is the uniform degree of the DG solution. For -version DG approximations, by employing geometrically refined time-steps and linearly increasing approximation orders, exponential rates of convergence in the number of temporal degrees of freedom are shown. Finally, some numerical tests are given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Differential Equations and Numerical Methods · Nonlinear Differential Equations Analysis
