Related Experiment Video
Updated: May 28, 2026

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
Published on: September 23, 2025
Extensive and subextensive chaos in globally coupled dynamical systems
Kazumasa A Takeuchi1, Hugues Chaté, Francesco Ginelli
1Service de Physique de l'État Condensé, CEA-Saclay, F-91191 Gif-sur-Yvette, France.
Chaos in globally coupled dynamical systems exhibits both extensive and subextensive properties. The spectrum of Lyapunov exponents shows a flat band, but also subextensive bands with unique scaling behavior.
Area of Science:
- Complex Systems
- Nonlinear Dynamics
- Statistical Physics
Background:
- Globally coupled identical dynamical systems are fundamental models in physics.
- Understanding the nature of chaos, including its extensivity, is crucial for characterizing complex system behavior.
Purpose of the Study:
- To investigate the properties of chaos in globally coupled identical dynamical systems.
- To determine if chaos in these systems is extensive, subextensive, or both.
Main Methods:
- Employed a combination of analytical and numerical techniques.
- Analyzed the spectrum of Lyapunov exponents for varying system sizes.
Main Results:
- Chaos in these systems is shown to be both extensive and subextensive.
- The Lyapunov exponent spectrum is asymptotically flat (extensive) at λ(0).
- Subextensive bands with O(logN) exponents exhibit scaling behavior: λ≃λ(∞)+c/logN, where λ(∞)≠λ(0).
Conclusions:
- Chaos in globally coupled systems displays a dual nature of extensivity and subextensivity.
- The observed Lyapunov exponent scaling provides new insights into the structure of chaotic states in large systems.
Related Concept Videos
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
Second Law of Thermodynamics
Second Law of Thermodynamics
The Second Law of Thermodynamics
Entropy Changes Accompanying Specific Processes
Entropy
