Construction and analysis of higher order Galerkin variational integrators
Sina Ober-Bl\"obaum, Nils Saake

TL;DR
This paper develops higher order variational integrators using polynomial spaces and quadrature rules, improving accuracy and efficiency in structure-preserving mechanical system simulations.
Contribution
It introduces a new class of higher order Galerkin variational integrators with enhanced convergence and stability properties, extending previous methods.
Findings
Higher order schemes increase accuracy and reduce computational cost.
Numerical investigations confirm optimal convergence rates.
Constructed integrators preserve geometric structure and stability.
Abstract
In this work we derive and analyze variational integrators of higher order for the structure-preserving simulation of mechanical systems. The construction is based on a space of polynomials together with Gauss and Lobatto quadrature rules to approximate the relevant integrals in the variational principle. The use of higher order schemes increases the accuracy of the discrete solution and thereby decrease the computational cost while the preservation properties of the scheme are still guaranteed. The order of convergence of the resulting variational integrators are investigated numerically and it is discussed which combination of space of polynomials and quadrature rules provide optimal convergence rates. For particular integrators the order can be increased compared to the Galerkin variational integrators previously introduced in Marsden & West 2001. Furthermore, linear stability…
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
TopicsNumerical methods for differential equations · Model Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics
