As a personal exercise, I was planning on implementing computationally some of the Lie group methods. So I'd like your input about differential equations where the space of configurations is a Lie group.
I know about the isospectral flow on the Toda lattice, and the QR flow on orthogonal matrices. These two examples do the job, but they are sooooo well-worn that I wonder if there are other interesting (this is opinion-based, but anyway) examples.
I thought about the Heisenberg group, whose Lie algebra is nilpotent, so the exponential can be exactly computed, and there is a global chart. Yet this global chart is so trivial, that any ODE on $H_3(\mathbb{R})$ could be easily rewritten on $\mathbb{R}^3$ itself, and there is no point in emphasizing the group structure.
I can think of some sources of inspiration, where I am no expert though:
- Mechanics, e.g. non-holonomic systems.
- Machine learning, e.g. low-rank factorization considering the Stiefel manifold.
- Matrix nearness problems and similar topics in numerical analysis or optimization.
Arguably there is non-empty intersection among these fields.
Using an exceptional group, e.g. $G_2$, would be a bonus, because it would be... well, exceptional.
To summarize: I would like to see explicit examples of ODEs, where trajectories lie on a manifold, with some appealing physical/mathematical/computational interpetation.
Disclaimer: if the question has some obscure point, it is because of my lack of expertise. Please, comment nicely before downvoting :)