Insights on aliasing driven instabilities for advection equations with application to Gauss-Lobatto discontinuous Galerkin methods
Juan Manzanero, Gonzalo Rubio, Esteban Ferrer, Eusebio Valero and, David A. Kopriva

TL;DR
This paper investigates aliasing-induced instabilities in high-order discontinuous Galerkin methods for advection equations, comparing bounds and stabilisation techniques, and demonstrating the effectiveness of split form approaches with Gauss-Lobatto points.
Contribution
It provides a detailed analysis of aliasing errors, compares energy bounds, and shows that split form stabilisation effectively prevents aliasing in DG schemes with SBP-SAT properties.
Findings
Elliptic norm bounds better predict PDE behaviour than $L^2$ bounds.
Over-integration does not generally reduce aliasing errors.
Split form methods ensure aliasing-free solutions in compatible DG schemes.
Abstract
We analyse instabilities due to aliasing errors when solving one dimensional non-constant advection speed equations and discuss means to alleviate these types of errors when using high order discontinuous Galerkin (DG) schemes. First, we compare analytical bounds for the continuous and discrete version of the PDEs. Whilst traditional norm energy bounds applied to the discrete PDE do not always predict the physical behaviour of the continuous version of the equation, more strict elliptic norm bounds correctly bound the behaviour of the continuous PDE. Having derived consistent bounds, we analyse the effectiveness of two stabilising techniques: over-integration and split form variations (conservative, non-conservative and skew-symmetric). Whilst the former is shown to not alleviate aliasing in general, the latter ensures an aliasing-free solution if the splitting form of the…
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 · Computational Fluid Dynamics and Aerodynamics · Numerical methods for differential equations
