Virial statistical description of non-extensive hierarchical systems
Daniel Pfenniger (Geneva Observatory, University of Geneva)

TL;DR
This paper extends the statistical mechanics framework to non-extensive hierarchical systems with power-law interactions, deriving new constraints and scaling relations, especially relevant for gravitational systems like the interstellar medium.
Contribution
It introduces a virial-based statistical description for non-extensive hierarchical systems without relying on classical thermodynamics assumptions.
Findings
Derived a velocity-site scaling relation consistent with interstellar medium observations.
Identified new constraints emerging in large hierarchical ranges depending on interaction laws.
Extended statistical mechanics to non-extensive, scale-invariant systems.
Abstract
In a first part the scope of classical thermodynamics and statistical mechanics is discussed in the broader context of formal dynamical systems, including computer programmes. In this context classical thermodynamics appears as a particular theory suited to a subset of all dynamical systems. A statistical mechanics similar to the one derived with the microcanonical ensemble emerges from dynamical systems provided it contains, 1) a finite non-integrable part of its phase space which is, 2) ergodic at a satisfactory degree after a finite time. The integrable part of phase space provides the constraints that shape the particular system macroscopical properties, and the chaotic part provides well behaved statistical properties over a relevant finite time. More generic semi-ergodic systems lead to intermittent behaviour, thus may be unsuited for a statistical description of steady states.…
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