Thermodynamic Blocking in Self-Gravitating Systems

Building upon a thermodynamic formalism, we show that one-dimensional self-gravitating systems in hydrostatic equilibrium with a uniform density are in maximal entropy states when submitted to adiabatic perturbations, i.e., perturbations that maintain the hydrostatic equilibrium. We also show that the same result holds for three-dimensional spherical systems when submitted to spherically symmetric adiabatic perturbations. We coin this phenomenon “thermodynamic blocking”, given its similarity to the more general “kinetic blocking”. This result underlines the importance of the thermodynamic formalism, which proves useful when kinetic equations break down.

Authors

Institutions

Publication Details

Journal
Universe
Published
2025-12-18
DOI
https://doi.org/10.3390/universe11120419
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermodynamic Blocking in Self-Gravitating Systems

Jean-Baptiste Fouvry, Barnabás Deme
Universe
Statistical Mechanics and Entropy
article

Thermodynamic Blocking in Self-Gravitating Systems

Jean-Baptiste Fouvry, Barnabás Deme
article en

Abstract

Building upon a thermodynamic formalism, we show that one-dimensional self-gravitating systems in hydrostatic equilibrium with a uniform density are in maximal entropy states when submitted to adiabatic perturbations, i.e., perturbations that maintain the hydrostatic equilibrium. We also show that the same result holds for three-dimensional spherical systems when submitted to spherically symmetric adiabatic perturbations. We coin this phenomenon “thermodynamic blocking”, given its similarity to the more general “kinetic blocking”. This result underlines the importance of the thermodynamic formalism, which proves useful when kinetic equations break down.

UniverseVol. 11(12)
Eötvös Loránd University (HU), University of Szeged (HU), Institut d'Astrophysique de Paris (FR)
Openalex Percentile: Top 67%
Statistical Mechanics and Entropy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.