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Time domain approach to semiclassical dynamics: Breaking the log time barrier
Eric J. Heller1, Steven Tomsovic, Miguel A. Sepulveda
1Departments of Physics and Chemistry, BG-10, University of Washington, Seattle, Washington 98195.
Chaos (Woodbury, N.Y.)
|January 1, 1992
Summary
Classical chaos does not hinder semiclassical approximations. New methods show excellent accuracy for nonlinear and chaotic dynamics over extended periods, overcoming previous timescale limitations.
Area of Science:
- Quantum mechanics
- Classical dynamics
- Chaos theory
Background:
- Semiclassical approximations are crucial for bridging quantum and classical mechanics.
- Chaos in classical dynamics was previously thought to limit the accuracy of semiclassical methods over time.
- Understanding the behavior of chaotic systems is essential in various scientific fields.
Purpose of the Study:
- To investigate the impact of classical chaos on semiclassical approximations in the time domain.
- To develop and demonstrate a method for calculating semiclassical propagation in nonlinear and chaotic systems.
- To assess the accuracy and timescale of these approximations for chaotic dynamics.
Main Methods:
- Developed a novel method for semiclassical propagation of initial states and correlation functions.
- Applied the method to nonlinear and chaotic dynamical systems.
- Analyzed the accuracy and breakdown timescale of the semiclassical approximations.
Main Results:
- The presence of chaos does not necessarily destroy semiclassical approximations.
- The proposed method demonstrates excellent accuracy for rather long times in chaotic systems.
- The timescale for the breakdown of accuracy is significantly longer than previously anticipated ('log time').
Conclusions:
- Semiclassical approximations remain viable and accurate for chaotic dynamics.
- The developed method provides a robust tool for studying quantum-classical correspondence in chaotic systems.
- This work extends the applicability of semiclassical methods to a broader range of complex dynamical systems.