Density matrix formulation of dynamical systems

TL;DR

This paper introduces a classical density matrix framework for dynamical systems, providing a unified, quantum-inspired approach to analyze classical chaos, dissipation, and nonequilibrium processes with enhanced computational tools.

Contribution

It develops a density matrix formalism for classical systems, analogous to quantum mechanics, enabling new analytical and computational methods for complex dynamical phenomena.

Findings

Generalizes Liouville's theorem and equation using density matrices.

Incorporates measures of local instability and chaos via commutators.

Recovers traditional classical results under specific conditions.

Abstract

Physical systems that dissipate, mix and develop turbulence also irreversibly transport statistical density. In statistical physics, laws for these processes have a mathematical form and tractability that depends on whether the description is classical or quantum mechanical. Here, we establish a theory for density transport in any classical dynamical system that is analogous to the density matrix formulation of quantum mechanics. Defining states in terms of a classical density matrix leads to generalizations of Liouville's theorem and Liouville's equation, establishing an alternative computationally-tractable basis for nonequilibrium statistical mechanics. The formalism is complete with classical commutators and anti-commutators that embed measures of local instability and chaos and are directly related to Poisson brackets when the dynamics are Hamiltonian. It also recovers the traditional Liouville equation and the Liouville theorem by imposing trace preservation or Hamiltonian dynamics. Applying to systems that are driven, transient, dissipative, regular, and chaotic, this formalism has the potential for broad applications.