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Published on: September 13, 2017
Chaotic diffusion on periodic orbits: the perturbed Arnold cat map.
Itzhack Dana1, Vladislav E Chernov
1Department of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel.
Summary
This study investigates chaotic diffusion on periodic orbits (POs) in a perturbed Arnold cat map. Two methods accurately predict diffusion coefficients, while a third offers reasonable approximations under specific conditions.
Area of Science:
- Dynamical systems theory
- Statistical mechanics
- Chaos theory
Background:
- Chaotic diffusion is a key phenomenon in nonlinear dynamics.
- Periodic orbits (POs) are fundamental structures in understanding chaotic systems.
- The Arnold cat map serves as a model for studying chaotic behavior.
Purpose of the Study:
- To calculate the diffusion coefficient for chaotic diffusion on POs in a perturbed Arnold cat map.
- To compare the accuracy of three different methods for calculating the diffusion coefficient based on POs.
- To analyze the conditions under which different calculation methods yield accurate results.
Main Methods:
- Utilizing the curvature expansion of the Ruelle zeta function to calculate diffusion coefficients.
- Employing the weighted average of the PO winding-number squared (w(2)) with a stability factor.
- Using the uniform (nonweighted) average of w(2).
Main Results:
- Formulas based on the Ruelle zeta function curvature expansion and weighted average of w(2) show excellent agreement with standard methods.
- The uniform average of w(2) provides reasonably accurate results for small perturbation parameters and non-uniform hyperbolicity.
- Accuracy of the uniform average is linked to uniformity sum rules of PO Lyapunov eigenvalues.
Conclusions:
- The curvature expansion of the Ruelle zeta function and stability-weighted average of w(2) are reliable methods for calculating diffusion coefficients.
- The uniform average of w(2) is a viable, simpler approximation under specific conditions of small perturbations and non-uniform hyperbolicity.
- The study highlights the importance of POs and their properties in understanding chaotic diffusion.
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