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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Hierarchical structures in the phase space and fractional kinetics: I. Classical systems
1Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, New York 10012Department of Physics, New York University, 2-4 Washington Place, New York, New York 10003.
Hamiltonian chaotic dynamics exhibits non-ergodic behavior due to embedded islands. Fractional kinetics effectively describes this complex, erratic transport with multifractal properties.
Area of Science:
- Physics
- Nonlinear Dynamics
- Statistical Mechanics
Background:
- Hamiltonian chaotic dynamics is typically non-ergodic due to the presence of invariant 'islands' within the 'stochastic sea'.
- The boundaries of these islands exhibit 'stickiness,' leading to highly erratic particle trajectories and a multifractal space-time structure.
- These complexities complicate the analysis of chaotic transport phenomena.
Purpose of the Study:
- To describe the anomalous properties of chaotic transport using fractional kinetics.
- To investigate how a hierarchical structure of islands influences chaotic dynamics.
- To explore various consequences of this complex chaotic behavior.
Main Methods:
- Application of fractional kinetics to model chaotic transport.
- Analysis of systems with hierarchically structured islands.
- Investigation of phenomena such as Poincare recurrences and characteristic transport exponents.
Main Results:
- Fractional kinetics provides a framework to describe the erratic, multifractal nature of chaotic transport.
- Hierarchical island structures lead to more transparent anomalous transport properties.
- Observed consequences include non-universal transport, log periodicity, and 'chaos erasing'.
Conclusions:
- The non-ergodic nature of Hamiltonian chaos, characterized by sticky islands, can be effectively modeled using fractional kinetics.
- Hierarchical island structures reveal anomalous transport properties and lead to phenomena like log periodicity.
- This approach offers insights into complex chaotic dynamics and transport mechanisms.
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