Application of the Generalized Alignment Index (GALI) method to the dynamics of multi--dimensional symplectic maps
T. Manos, Ch. Skokos, T. Bountis

TL;DR
This paper demonstrates that the GALI method effectively differentiates between regular and chaotic dynamics in multi-dimensional symplectic maps, specifically applied to a system of three coupled standard maps.
Contribution
It introduces the application of the GALI method to multi-dimensional symplectic maps and shows its efficiency in identifying chaotic versus regular motion.
Findings
GALI rapidly distinguishes between regular and chaotic trajectories.
The method is effective for systems of N=3 coupled standard maps.
GALI provides a reliable criterion for phase space analysis.
Abstract
We study the phase space dynamics of multi--dimensional symplectic maps, using the method of the Generalized Alignment Index (GALI). In particular, we investigate the behavior of the GALI for a system of N=3 coupled standard maps and show that it provides an efficient criterion for rapidly distinguishing between regular and chaotic motion.
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.
