A variational symplectic scheme based on Simpson's quadrature
Fran\c{c}ois Dubois (LMO, LMSSC), Juan Antonio Rojas-Quintero

TL;DR
This paper introduces a new explicit symplectic numerical method for dynamical systems based on variational principles and Simpson's quadrature, demonstrating stability and energy conservation through numerical tests.
Contribution
It presents a novel variational symplectic scheme using Simpson's quadrature for time integration, combining explicitness, stability, and energy conservation.
Findings
The scheme is explicit and symplectic.
It conserves an approximate energy.
Numerical tests confirm theoretical properties.
Abstract
We propose a variational symplectic numerical method for the time integration of dynamical systems issued from the least action principle. We assume a quadratic internal interpolation of the state and we approximate the action in a small time step by the Simpson's quadrature formula. The resulting scheme is explicited for an elementary harmonic oscillator. It is a stable, explicit, and symplectic scheme satisfying the conservation of an approximate energy. Numerical tests illustrate our theoretical study.
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 · Advanced Numerical Methods in Computational Mathematics · Matrix Theory and Algorithms
