• Open Access

Performance analysis of indicators of chaos for nonlinear dynamical systems

A. Bazzani, M. Giovannozzi, C. E. Montanari, and G. Turchetti
Phys. Rev. E 107, 064209 – Published 22 June 2023

Abstract

The efficient detection of chaotic behavior in orbits of a complex dynamical system is an active domain of research. Several indicators have been proposed, and new ones have recently been developed in view of improving the performance of chaos detection by means of numerical simulations. The challenge is to predict chaotic behavior based on the analysis of orbits of limited length. In this paper the performance analysis of past and recent indicators of chaos, in terms of predictive power, is carried out in detail using the dynamical system characterized by a symplectic Hénon-like cubic polynomial map.

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  • Received 27 March 2023
  • Accepted 7 June 2023

DOI:https://doi.org/10.1103/PhysRevE.107.064209

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Nonlinear Dynamics

Authors & Affiliations

A. Bazzani1, M. Giovannozzi2,*, C. E. Montanari1,2, and G. Turchetti1

  • 1Dipartimento di Fisica e Astronomia, Università di Bologna, via Irnerio 46, 40126 Bologna, Italy
  • 2Beams Department, CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland

  • *Corresponding author: massimo.giovannozzi@cern.ch

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Issue

Vol. 107, Iss. 6 — June 2023

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