Structure analysis of the Lorenz-84 chaotic attractor

The structure of the Lorenz-84 attractor is investigated in this study. Its dynamics belonging to weakly dissipative chaos, classical approaches cannot be used to analyze its structure. The color tracer mapping is introduced for this purpose and used to extract the three-dimensional structure of the attractor. The analysis shows that the attractor is a nontrivial case of toroidal chaos: it is organized around a period-2 cavity. Moreover, the structure reveals a new mechanism generating chaos in the attractor: a multidirectional stretching. The attractor structure is then artificially represented on a two-dimensional branched manifold, and its validation is performed using a set of periodic orbits previously extracted.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-10-01
DOI
https://doi.org/10.1063/5.0287725
Citations
4
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
5.10
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article

Structure analysis of the Lorenz-84 chaotic attractor

Martin Rosalie, Sylvain Mangiarotti
4 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Chaos-based Image/Signal Encryption
5.10
article

Structure analysis of the Lorenz-84 chaotic attractor

Martin Rosalie, Sylvain Mangiarotti
article en
4 citations

Abstract

The structure of the Lorenz-84 attractor is investigated in this study. Its dynamics belonging to weakly dissipative chaos, classical approaches cannot be used to analyze its structure. The color tracer mapping is introduced for this purpose and used to extract the three-dimensional structure of the attractor. The analysis shows that the attractor is a nontrivial case of toroidal chaos: it is organized around a period-2 cavity. Moreover, the structure reveals a new mechanism generating chaos in the attractor: a multidirectional stretching. The attractor structure is then artificially represented on a two-dimensional branched manifold, and its validation is performed using a set of periodic orbits previously extracted.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(10)
Centre National de la Recherche Scientifique (FR), Université de Perpignan (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre d'Études Spatiales de la Biosphère (FR), Laboratoire Génome et Développement des Plantes (FR), Institut de Recherche pour le Développement (FR)
Openalex Percentile: Top 4%
Chaos-based Image/Signal Encryption
5.10
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