Related Experiment Video
Updated: Jun 12, 2026

11:54
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
Synchronized states in chaotic systems coupled indirectly through a dynamic environment.
V Resmi1, G Ambika, R E Amritkar
1Indian Institute of Science Education and Research, Pune 411021, India. v.resmi@iiserpune.ac.in
Summary
This study explores chaotic system synchronization via a common environment. Diverse synchronization patterns, including in-phase and antiphase, emerge and are analyzed for stability and transitions.
Area of Science:
- Nonlinear Dynamics
- Chaos Theory
- Complex Systems
Background:
- Coupled chaotic systems can exhibit complex synchronization behaviors.
- Environmental coupling introduces unique dynamics not seen in direct coupling.
- Feedback modulation from systems to the environment adds another layer of complexity.
Purpose of the Study:
- To investigate diverse synchronization phenomena in chaotic systems coupled indirectly through a dynamic environment.
- To analyze the stability and transitions between different synchronization states.
- To compare analytical stability predictions with numerical findings.
Main Methods:
- Utilized approximate stability analysis for synchronization behaviors.
- Performed numerical studies on Rössler and Lorenz systems.
- Analyzed parameter planes of coupling strengths.
- Employed correlation, average phase difference, and Lyapunov exponents for characterization.
Main Results:
- Demonstrated the possibility of various synchronization behaviors: in-phase, antiphase, complete, and antisynchronization.
- Identified transitions to different synchronous states within the parameter plane.
- Found agreement between numerical threshold conditions and stability analysis predictions.
Conclusions:
- Indirect coupling through a dynamic environment enables rich synchronization patterns.
- Stability analysis provides a reliable framework for understanding synchronization transitions.
- The study offers insights into complex system interactions and emergent behaviors.
Related Concept Videos
Entropy Changes Accompanying Specific Processes
Entropy, a measure of disorder in a system, changes during phase transitions like freezing or boiling. At the transition temperature Ttrs, where two phases are in equilibrium, the phase transition is a reversible process. The entropy change can be calculated from a substance's enthalpy of transition using the equation ΔStrs = ΔtrsH /Ttrs.When a perfect gas expands isothermally from one volume to another, entropy increases logarithmically with volume. Conversely, isothermal compression results...
State Space Representation
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
Second Law of Thermodynamics
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
Second Law of Thermodynamics
The Second Law of Thermodynamics states that entropy, or the amount of disorder in a system, increases each time energy is transferred or transformed. Each energy transfer results in a certain amount of energy that is lost—usually in the form of heat—that increases the disorder of the surroundings. This can also be demonstrated in a classic food web. Herbivores harvest chemical energy from plants and release heat and carbon dioxide into the environment. Carnivores harvest the chemical energy...
The Entropy as a State Function
Consider an arbitrary process that moves between two specific states (A and B) in a cyclic manner. This process is reversible and broken down into smaller parts that each follow a Carnot cycle. A Carnot cycle has two isothermal (constant temperature) processes. During these processes, the ratio of the amount of heat transferred to their respective temperature remains constant. The other two processes in the Carnot cycle are also reversible but adiabatic, which means they occur without any heat...
Entropy
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
