Maximum entropy states of collisionless systems with long-range interaction and different degrees of mixing
Victor M. Pergamenshchik

TL;DR
This paper derives maximum entropy states for collisionless long-range interacting systems, revealing how different degrees of mixing influence the equilibrium distribution and connecting these states to Fermi-Dirac and Lynden-Bell distributions.
Contribution
It introduces a novel approach to count microstates in continuous systems with long-range interactions, linking mixing degrees to known statistical distributions.
Findings
For high mixing, the distribution is Fermi-Dirac.
In the ergodic, non-mixing case, it reproduces Lynden-Bell's distribution.
Incomplete mixing yields a weighted combination of exponential terms.
Abstract
Dynamics of many-particle systems with long-range interaction is collisionless and governed by the Vlasov equation. This dynamics is a flow of a six-dimensional incompressible liquid with uncountable integrals of motion. If the flow possesses the statistical property of mixing, each liquid element spreads over the entire accessible space. I derive the equilibrium microcanonical maximum entropy states of this liquid for different degrees of mixing . This is the number of liquid elements which are statistically independent. To count microstates of a liquid, I develop analog of the discrete combinatorics for continuous systems by introducing the ensemble of phase subspaces and making contact with the Shannon-McMillan-Breiman theorem from the ergodic theory. If is much larger than the total number of particles , then the equilibrium distribution function (DF) is found to be…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Complex Systems and Time Series Analysis · Advanced Thermodynamics and Statistical Mechanics
