4.7 Article

Variational integrators for non-autonomous Lagrangian systems

Journal

Publisher

ELSEVIER
DOI: 10.1016/j.cam.2022.114966

Keywords

Geometric integration; Variational integrators; Symmetries; Conservation laws; Backward error analysis

Ask authors/readers for more resources

Numerical methods that preserve geometric invariants are called geometric integrators, and variational integrators are an important class of such methods. This paper introduces variational integrators with fixed time step for time-dependent Lagrangian systems modeling an important class of autonomous dissipative systems. These integrators are derived using a series of discrete Lagrangian functions, allowing for the preservation properties of variational integrators for autonomous Lagrangian systems. The paper also presents a discrete Noether theorem for this class of systems.
Numerical methods that preserve geometric invariants of the system, such as energy, momentum or the symplectic form, are called geometric integrators. Variational in-tegrators are an important class of geometric integrators. The general idea for those variational integrators is to discretize Hamilton's principle rather than the equations of motion in a way that preserves some of the invariants of the original system. In this paper we construct variational integrators with fixed time step for time-dependent Lagrangian systems modelling an important class of autonomous dissipative systems. These integrators are derived via a family of discrete Lagrangian functions each one for a fixed time-step. This allows to recover at each step on the set of discrete sequences the preservation properties of variational integrators for autonomous Lagrangian systems, such as symplecticity or backward error analysis for these systems. We also present a discrete Noether theorem for this class of systems.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available