SUPG-stabilized time-DG finite and virtual elements for the time-dependent advection-diffusion equation
Louren\c{c}o Beir\~ao Da Veiga, Franco Dassi, Sergio G\'omez

TL;DR
This paper develops and analyzes a stable, robust, and optimally convergent space-time finite and virtual element method for the advection-diffusion equation, effective in convection- and diffusion-dominated regimes.
Contribution
It introduces a space-time SUPG-stabilized fully discrete scheme combining finite or virtual elements with DG time-stepping, with proven stability and convergence without artificial reaction terms.
Findings
Method is inf-sup stable independent of diffusion coefficient
Achieves optimal convergence rates in energy norm
Numerical experiments validate theoretical stability and convergence
Abstract
We carry out a stability and convergence analysis for the fully discrete scheme obtained by combining a finite or virtual element spatial discretization with the upwind-discontinuous Galerkin time-stepping applied to the time-dependent advection-diffusion equation. A space-time streamline-upwind Petrov-Galerkin term is used to stabilize the method. More precisely, we show that the method is inf-sup stable with constant independent of the diffusion coefficient, which ensures the robustness of the method in the convection- and diffusion-dominated regimes. Moreover, we prove optimal convergence rates in both regimes for the error in the energy norm. An important feature of the presented analysis is the control in the full norm without the need of introducing an artificial reaction term in the model. We finally present some numerical experiments in $(3 +…
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
TopicsAdvanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering · Differential Equations and Numerical Methods
