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Exploring classical phase space structures of nearly integrable and mixed quantum systems via parametric variation
Nicholas R Cerruti1, Srihari Keshavamurthy, Steven Tomsovic
1Department of Physics, Washington State University, Pullman, WA 99164-2814, USA.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 20, 2003
Summary
We extended a sensitive measure of phase space localization to mixed quantum systems. This method reveals specific structures in mixed and near-integrable systems, showing excellent agreement with theory.
Area of Science:
- Quantum mechanics
- Statistical physics
- Chaos theory
Background:
- Phase space localization is a key concept in quantum systems.
- Previous studies focused on chaotic quantum systems.
- A sensitive measure involving overlap intensities and level velocities was developed.
Purpose of the Study:
- To extend the theory of phase space localization to near-integrable and mixed quantum systems.
- To investigate the utility of the overlap intensity-level velocity correlation in these systems.
- To explore the applicability of Hannay-Ozorio de Almeida sum rules in mixed phase space systems.
Main Methods:
- Development of a detailed semiclassical theory.
- Relating the correlation coefficient to phase space weighted derivatives of the classical action.
- Derivation of Planck's over 2pi scalings for nearly integrable systems.
Main Results:
- The correlation measure effectively highlights phase space structures in mixed quantum systems.
- The theory shows excellent agreement with results from integrable billiards and the standard map.
- The study addresses the extendibility of sum rules to mixed phase space systems.
Conclusions:
- The developed theory provides a sensitive tool for analyzing phase space localization in a broader range of quantum systems.
- The correlation measure is particularly useful for understanding perturbation-dependent structures in mixed systems.
- The findings contribute to the understanding of quantum-classical correspondence in non-chaotic systems.