Algebraic discretization of time-independent Hamiltonian systems using a Lie-group/algebra approach
S\'ebastien Bertrand

TL;DR
This paper introduces an algebraic Lie-group approach to discretize time-independent Hamiltonian systems, enabling exact solutions and error analysis without traditional time discretization, demonstrated on harmonic oscillator examples.
Contribution
It develops a novel algebraic formalism for discretizing Hamiltonian systems using Lie groups and algebras, avoiding time-derivative discretization and allowing exact solutions in integrable cases.
Findings
Exact discretization scheme for integrable systems
Error analysis method for numerical schemes
Application to harmonic oscillator examples
Abstract
In this paper, time-independent Hamiltonian systems are investigated via a Lie-group/algebra formalism. The (unknown) solution linked with the Hamiltonian is considered to be a Lie-group transformation of the initial data, where the group parameter acts as the time. The time-evolution generator (i.e. the Lie algebra associated to the group transformation) is constructed at an algebraic level, hence avoiding discretization of the time-derivatives for the discrete case. This formalism makes it possible to investigate the continuous and discrete versions of time for time-independent Hamiltonian systems and no additional information on the system is required (besides the Hamiltonian itself and the initial conditions of the solution). When the time-independent Hamiltonian system is integrable in the sense of Liouville, one can use the action-angle coordinates to straighten the time-evolution…
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 · Electromagnetic Simulation and Numerical Methods
