Second-order solutions of the equilibrium statistical mechanics for self-gravitating systems
Ping He

TL;DR
This paper explores second-order equilibrium solutions for self-gravitating systems using a statistical mechanics framework, revealing three solution types and emphasizing the physical relevance of convergent solutions despite current limitations.
Contribution
It introduces and analyzes second-order solutions within a Boltzmann-Gibbs entropy-based framework, advancing understanding of equilibrium states in self-gravitating systems.
Findings
Three types of solutions: isothermal, divergent, and convergent.
Convergent solutions are physically reasonable with confined density profiles.
Statistical equilibrium differs from thermodynamic equilibrium.
Abstract
In a previous study, we formulated a framework of the entropy-based equilibrium statistical mechanics for self-gravitating systems. This theory is based on the Boltzmann-Gibbs entropy and includes the generalized virial equations as additional constraints. With the truncated distribution function to the lowest order, we derived a set of second-order equations for the equilibrium states of the system. In this work, the numerical solutions of these equations are investigated. It is found that there are three types of solutions for these equations. Both the isothermal and divergent solutions are thermally unstable and have unconfined density profiles with infinite mass, energy and spatial extent. The convergent solutions, however, seem to be reasonable. Although the results cannot match the simulation data well, because of the truncations of the distribution function and its moment…
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