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Published on: June 9, 2023
Nature of weak generalized synchronization in chaotically driven maps
Gerhard Keller1, Haider H Jafri, Ram Ramaswamy
1Department of Mathematics, Universität Erlangen-Nürnberg, Cauerstrasse 11, 91058 Erlangen, Germany.
Weak generalized synchronization in dynamical systems occurs when response is a unique, nondifferentiable function of the drive. This study examines the geometry and fractal dimension of limit sets in chaotically driven systems.
Area of Science:
- Dynamical Systems and Chaos Theory
- Nonlinear Dynamics
- Complex Systems Analysis
Background:
- Generalized synchronization is a phenomenon in coupled dynamical systems where one system (response) follows another (drive).
- Weak generalized synchrony is characterized by a unique but nondifferentiable relationship between drive and response dynamics.
- This phenomenon shares similarities with the formation of strange nonchaotic attractors in quasiperiodically driven systems.
Purpose of the Study:
- To investigate the geometric properties of limit sets in a chaotically driven monotone map exhibiting weak generalized synchronization.
- To analyze the fractal dimension of the set of zeros within this synchronization regime.
- To explore the stable and unstable sets and quantify the regularity of the coupling function.
Main Methods:
- Analytical and numerical examination of a chaotically driven monotone map.
- Calculation of the fractal dimension of the set of zeros.
- Analysis of stable and unstable sets.
- Measurement of the coupling function's regularity.
Main Results:
- The fractal dimension of the set of zeros in weak generalized synchronization was determined.
- The geometry of the limit set was characterized.
- Stability indices and dimension spectra of the equilibrium measure were analytically computed.
Conclusions:
- The study provides a detailed analysis of weak generalized synchronization in a specific dynamical system.
- Analytical and numerical methods were successfully employed to characterize the system's behavior.
- The findings contribute to the understanding of synchronization phenomena in complex systems.
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