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Zero delay synchronization of chaos in coupled map lattices
M S Santhanam1, Siddharth Arora
1Physical Research Laboratory, Navrangpura, Ahmedabad 380 009, India.
Coupled map lattices with mutual delays can achieve zero delay synchronization when driven by a third lattice. This synchronization is robust and enhanced by the presence of delays.
Area of Science:
- Nonlinear dynamics
- Complex systems
- Chaos theory
Background:
- Coupled map lattices (CMLs) are widely used models for studying complex spatio-temporal dynamics.
- Synchronization phenomena in coupled dynamical systems are of significant interest in various scientific fields.
- Mutual coupling and time delays are common features in real-world complex systems.
Purpose of the Study:
- To investigate the possibility of zero delay synchronization in mutually coupled map lattices with delay.
- To analytically determine the conditions and parameter regimes for achieving synchronization.
- To assess the robustness of synchronization against parameter mismatches and estimate error bounds.
Main Methods:
- Analytical investigation of synchronization conditions in a system of three mutually coupled map lattices with delay.
- Derivation of parametric regimes leading to zero delay (isochronal) synchronization.
- Estimation of synchronization error bounds to quantify robustness against internal parameter mismatches.
Main Results:
- Demonstration that a third driving coupled map lattice can induce zero delay synchronization in two mutually coupled lattices with delay.
- Analytical estimation of the parameter regions supporting synchronization.
- Evidence that mutual delays can enhance the synchronization process.
- Quantification of the robustness of isochronal synchronization against internal parameter variations.
Conclusions:
- Zero delay synchronization is achievable in mutually coupled map lattices with delay when driven appropriately.
- The presence of mutual delays plays a beneficial role in enhancing synchronization.
- The observed synchronization is robust to internal parameter mismatches, with analytically estimated error bounds providing a measure of this resilience.
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