Lynden-Bell and Tsallis distributions for the HMF model
P.H. Chavanis

TL;DR
This paper investigates the Lynden-Bell and Tsallis distributions within the Hamiltonian Mean Field (HMF) model, analyzing their stability and phase transitions to better understand the quasi-stationary states in systems with long-range interactions.
Contribution
It provides a detailed analysis of the stability and phase transitions of Lynden-Bell distributions in the HMF model, clarifying the conditions for maximum entropy states versus unstable saddle points.
Findings
Critical energy and temperature depend on initial conditions.
Homogeneous Lynden-Bell distribution becomes unstable below critical values.
A phase transition occurs at a critical initial magnetization.
Abstract
Systems with long-range interactions can reach a Quasi Stationary State (QSS) as a result of a violent collisionless relaxation. If the system mixes well (ergodicity), the QSS can be predicted by the statistical theory of Lynden-Bell (1967) based on the Vlasov equation. When the initial distribution takes only two values, the Lynden-Bell distribution is similar to the Fermi-Dirac statistics. Such distributions have recently been observed in direct numerical simulations of the HMF model (Antoniazzi et al. 2006). In this paper, we determine the caloric curve corresponding to the Lynden-Bell statistics in relation with the HMF model and analyze the dynamical and thermodynamical stability of spatially homogeneous solutions by using two general criteria previously introduced in the literature. We express the critical energy and the critical temperature as a function of a degeneracy parameter…
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