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Published on: December 4, 2017
Phase space volume preserving dynamics for deterministic dynamical systems
Swetamber Das1, Jason R Green2,3
1Department of Physics, SRM University-AP, Amaravati, Andhra Pradesh 522240, India.
This study introduces a new linearized dynamics to preserve phase space volume during chaotic evolution, preventing unphysical collapse. This method offers an invariant measure for dissipative dynamics and is numerically convenient for chaotic systems.
Area of Science:
- * Statistical mechanics
- * Nonlinear dynamics
- * Classical chaos
Background:
- * Linearized dynamics typically cause chaotic systems to exhibit unphysical phase space volume collapse.
- * This collapse arises from exponential alignment of tangent vectors, irrespective of true volume compressibility.
- * Existing models struggle to preserve volume in non-Hamiltonian and dissipative systems.
Purpose of the Study:
- * To propose an alternative linearized dynamics that preserves phase space volume.
- * To develop a generalized Liouville equation applicable to non-Hamiltonian systems.
- * To provide an invariant measure for dissipative dynamics and an evolution equation for the density matrix.
Main Methods:
- * Rectifying the generalized Liouville equation using an operator derived from the anti-symmetric part of the stability matrix.
- * Defining a time-evolution operator that generates orthogonal transformations, preserving volume elements.
- * Analyzing tangent space dynamics using complete basis vectors without re-orthogonalization.
Main Results:
- * Phase space volume invariance is achieved even for non-Hamiltonian and dissipative chaotic systems.
- * An evolution equation analogous to the quantum Liouville-von Neumann equation is derived.
- * The method allows computation of Lyapunov exponent spectra and Gibbs entropy flow rates for various chaotic models.
Conclusions:
- * The proposed dynamics offers a physically realistic description of chaotic systems by preserving phase space volume.
- * This approach provides a robust framework for analyzing dissipative, transient, and driven chaotic dynamics.
- * The method is numerically convenient and applicable to diverse classical systems.
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