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Bursts in the chaotic trajectory lifetimes preceding controlled periodic motion
1Department of Physics, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia.
Summary
The average lifetime for chaotic systems to enter a specific region is affected by periodic orbits. We found this lifetime deviates from predictions based on invariant measure when short periodic orbits are involved.
Area of Science:
- Dynamical systems and chaos theory.
- Statistical mechanics and ergodic theory.
Background:
- Understanding the behavior of chaotic systems is crucial for various scientific and engineering applications.
- The average lifetime of a trajectory within a specific region of a chaotic attractor, denoted tau(H), is a key parameter for controlling chaos.
- Deviations from the natural invariant measure can occur, impacting predictability.
Purpose of the Study:
- To investigate the average lifetime [tau(H)] of trajectories entering a small region (H) on a chaotic attractor.
- To analyze how the presence of short periodic orbits influences this lifetime.
- To introduce a formula relating the lifetime deviation to the properties of these periodic orbits.
Main Methods:
- Analysis of chaotic dynamics and trajectory behavior.
- Mathematical formulation of average lifetimes in chaotic systems.
- Derivation of a relationship between lifetime, invariant measure, and periodic orbit properties.
Main Results:
- The average lifetime [tau(H)] deviates significantly from the inverse of the invariant measure [&mgr;(N)(H)(-1)] when region H is visited by a short periodic orbit.
- A novel formula is introduced that quantifies this deviation.
- The formula connects the ratio tau(H)/&mgr;(N)(H)(-1) to the expanding eigenvalue of the relevant short periodic orbit.
Conclusions:
- Short periodic orbits play a critical role in the dynamics of chaotic systems, causing deviations in trajectory lifetimes.
- The introduced formula provides a new tool for understanding and predicting chaotic system behavior.
- This finding has implications for the control and manipulation of chaos in various applications.