19–24 May 2024
Music City Center
US/Central timezone

Machine-assisted discovery of integrable symplectic mappings

THPC23
23 May 2024, 16:00
2h
Country (MCC Exhibit Hall A)

Country

MCC Exhibit Hall A

Poster Presentation MC5.D01 Beam Optics Lattices, Correction Schemes, Transport Thursday Poster Session

Speaker

Timofey Zolkin (Fermi National Accelerator Laboratory)

Description

Integrable systems possess a hidden symmetry associated with the existence of conserved quantities known as integrals of motion. These systems play an important role in understanding general dynamics in accelerators and have potential for future designs. This work will cover two automated methods for finding integrable symplectic maps of the plane.
The first algorithm is based on the observation that the evolution of an integrable system in phase space is confined to a lower-dimensional submanifold of a specific type. The second algorithm relies on an analysis of dynamical variables. Both methods rediscover some of the famous McMillan-Suris integrable mappings and ultra-discrete Painlevé equations.
Over 100 new integrable families are presented and analyzed, some of which are isolated in the space of parameters, while others are families with one parameter (or the ratio of parameters) being either continuous or discrete.
In addition, the newly discovered maps are related to a general 2D symplectic map through the use of discrete perturbation theory. A method is proposed for constructing smooth near-integrable dynamical systems based on mappings with polygon invariants.

Region represented North America

Primary author

Timofey Zolkin (Fermi National Accelerator Laboratory)

Co-authors

Sergei Nagaitsev (Brookhaven National Laboratory (BNL)) Yaroslav Kharkov (Russian Academy of Sciences)

Presentation materials

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