On the Geometry and Entropy of Non-Hamiltonian Phase Space

TL;DR

This paper explores the geometric structure of phase space in non-Hamiltonian systems, clarifies measure definitions, and proposes a maximum entropy principle for such flows, enhancing understanding of their statistical mechanics.

Contribution

It provides a detailed analysis of phase space measures and entropy in non-Hamiltonian systems, introducing conditions for zero compressibility flows and a maximum entropy principle.

Findings

Phase space measure should be based on Jacobian of coordinate transformations.

Jacobian determinant for phase space flow is unity in zero compressibility cases.

A maximum entropy principle is formulated for non-Hamiltonian phase space flows.

Abstract

We analyze the equilibrium statistical mechanics of canonical, non-canonical and non-Hamiltonian equations of motion by throwing light into the peculiar geometric structure of phase space. Some fundamental issues regarding time translation and phase space measure are clarified. In particular, we emphasize that a phase space measure should be defined by means of the Jacobian of the transformation between different types of coordinates since such a determinant is different from zero in the non-canonical case even if the phase space compressibility is null. Instead, the Jacobian determinant associated with phase space flows is unity whenever non-canonical coordinates lead to a vanishing compressibility, so that its use in order to define a measure may not be always correct. To better illustrate this point, we derive a mathematical condition for defining non-Hamiltonian phase space flows with zero compressibility. The Jacobian determinant associated with time evolution in phase space is altogether useful for analyzing time translation invariance. The proper definition of a phase space measure is particularly important when defining the entropy functional in the canonical, non-canonical, and non-Hamiltonian cases. We show how the use of relative entropies can circumvent some subtle problems that are encountered when dealing with continuous probability distributions and phase space measures. Finally, a maximum (relative) entropy principle is formulated for non-canonical and non-Hamiltonian phase space flows.