Analysis of an Explicit, High-Order Semi-Lagrangian Nodal Method
Gustaaf B. Jacobs, Hareshram Natarajan, Pavel Popov, David A. Kopriva

TL;DR
This paper provides a detailed analysis of an explicit semi-Lagrangian spectral element method, examining its phase and dissipation errors, stability, and consistency with the transport PDE, using algebraic, modified equation, and eigenvalue analyses.
Contribution
It introduces a discrete algebraic formulation of the high-order semi-Lagrangian method and analyzes its error characteristics and stability properties.
Findings
Method is consistent with PDE as element size approaches zero.
Dispersion is negligible, indicating high accuracy.
Stable under CFL condition based on minimum node spacing.
Abstract
A discrete analysis of the phase and dissipation errors of an explicit, semi-Lagrangian spectral element method is performed. The semi-Lagrangian method advects the Lagrange interpolant according the Lagrangian form of the transport equations and uses a least-square fit to correct the update for interface constraints of neighbouring elements. By assuming a monomial representation instead of the Lagrange form, a discrete version of the algorithm on a single element is derived. The resulting algebraic system lends itself to both a Modified Equation analysis and an eigenvalue analysis. The Modified Equation analysis, which Taylor expands the stencil at a single space location and time instance, shows that the semi-Lagrangian method is consistent with the PDE form of the transport equation in the limit that the element size goes to zero. The leading order truncation term of the Modified…
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
TopicsDifferential Equations and Numerical Methods · Electromagnetic Simulation and Numerical Methods · Numerical methods for differential equations
