Machine-assisted discovery of integrable symplectic mappings
Timofey Zolkin, Yaroslav Kharkov, Sergei Nagaitsev
TL;DR
This work presents a machine-assisted framework to automatically discover area-preserving 2D symplectic maps with polygon invariants, significantly expanding the catalog of integrable polygon mappings. By restricting to piecewise-linear forces and exploiting polygonal invariants, the authors extract and classify over 100 new integrable families, including classical McMillan–Suris cases and links to discrete Painlevé equations. The methodology combines trajectory-shape analysis, vertex-counting of orbit polygons, and rigorous McMillan-type integrability checks, supplemented by a detailed algorithm and pseudo-code; it also demonstrates pathways to near-integrable dynamics through smoothing and discrete perturbation theory. The results offer both theoretical insights into the geometry of invariant sets and practical avenues for applications in near-integrable systems and accelerator physics, where polygonal invariants can inform stable focusing schemes and perturbative analyses. Overall, the paper provides a comprehensive framework for discovering, verifying, and applying polygon-based integrable maps, along with a roadmap toward integrating these discrete models with more general 2D symplectic dynamics.
Abstract
We present a new automated method for finding integrable symplectic maps of the plane. These dynamical systems possess a hidden symmetry associated with an existence of conserved quantities, i.e. integrals of motion. The core idea of the algorithm is based on the knowledge that the evolution of an integrable system in the phase space is restricted to a lower-dimensional submanifold. Limiting ourselves to polygon invariants of motion, we analyze the shape of individual trajectories thus successfully distinguishing integrable motion from chaotic cases. For example, our method rediscovers some of the famous McMillan-Suris integrable mappings and discrete Painlevé equations. In total, over 100 new integrable families are presented and analyzed; some of them are isolated in the space of parameters, and some of them are families with one parameter (or the ratio of parameters) being continuous or discrete. At the end of the paper, we suggest how newly discovered maps are related to a general 2D symplectic map via an introduction of discrete perturbation theory and propose a method on how to construct smooth near-integrable dynamical systems based on mappings with polygon invariants.
