Numerical detection of suppression of quasi-periodic solutions

Dynamical systems can show so-called quasi-periodic solutions, which are composed of two or more so-called incommensurable frequencies. Solving these systems in the time-domain is not favorable, due to the fact that quasi-periodic solutions have no finite periodicity, thus it is unclear how long simulations must be carried out in order to capture all relevant information. The time-solution however fills a toroidal manifold densely. To calculate the invariant manifold directly one can use the hyper-time parametrization. One can easily extract maximum values from the hyper-time solution. The trade-off however is, that the parametrization loses its validity if the quasi-periodic solution synchronizes. When continuing quasi-periodic solution branches it is essential to detect an approach to such synchronization points. We present an algorithm, with which one can detect synchronization by suppression of quasi-periodic solutions, on the basis of a solution in the hyper-time parametrization.

Publication Details

Journal
Universitätsbibliothek Kassel
Published
2024-09-22
DOI
https://doi.org/10.17170/kobra-2025013010881
Primary Topic
Chaos control and synchronization
Type
article
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article

Numerical detection of suppression of quasi-periodic solutions

Universitätsbibliothek Kassel
Chaos control and synchronization
article

Numerical detection of suppression of quasi-periodic solutions

article en

Abstract

Dynamical systems can show so-called quasi-periodic solutions, which are composed of two or more so-called incommensurable frequencies. Solving these systems in the time-domain is not favorable, due to the fact that quasi-periodic solutions have no finite periodicity, thus it is unclear how long simulations must be carried out in order to capture all relevant information. The time-solution however fills a toroidal manifold densely. To calculate the invariant manifold directly one can use the hyper-time parametrization. One can easily extract maximum values from the hyper-time solution. The trade-off however is, that the parametrization loses its validity if the quasi-periodic solution synchronizes. When continuing quasi-periodic solution branches it is essential to detect an approach to such synchronization points. We present an algorithm, with which one can detect synchronization by suppression of quasi-periodic solutions, on the basis of a solution in the hyper-time parametrization.

Universitätsbibliothek Kassel
Openalex Percentile: Top 61%
Chaos control and synchronization
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