Probing rare physical trajectories with Lyapunov weighted dynamics
Julien Tailleur, Jorge Kurchan

TL;DR
This paper introduces a novel numerical method to efficiently identify rare trajectories with unusual chaoticity in high-dimensional systems, demonstrated on nonlinear chains and with potential applications in celestial mechanics and turbulence.
Contribution
The paper presents a new Lyapunov weighted dynamics algorithm enabling the study of rare trajectories in high-dimensional systems, overcoming previous limitations of low-dimensional methods.
Findings
Successfully identified soliton solutions in the Fermi-Pasta-Ulam chain
Detected chaotic-breathers with the new method
Demonstrated efficiency in high-dimensional systems
Abstract
The transition from order to chaos has been a major subject of research since the work of Poincare, as it is relevant in areas ranging from the foundations of statistical physics to the stability of the solar system. Along this transition, atypical structures like the first chaotic regions to appear, or the last regular islands to survive, play a crucial role in many physical situations. For instance, resonances and separatrices determine the fate of planetary systems, and localised objects like solitons and breathers provide mechanisms of energy transport in nonlinear systems such as Bose-Einstein condensates and biological molecules. Unfortunately, despite the fundamental progress made in the last years, most of the numerical methods to locate these 'rare' trajectories are confined to low-dimensional or toy models, while the realms of statistical physics, chemical reactions, or…
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