Cargando…
A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems
We present a Monte Carlo approach that allows us to easily implement Lynden-Bell (LB) entropy maximization for an arbitrary initial particle distribution. The direct maximization of LB entropy for an arbitrary initial distribution requires an infinite number of Lagrange multipliers to account for th...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606548/ https://www.ncbi.nlm.nih.gov/pubmed/37895502 http://dx.doi.org/10.3390/e25101379 |
_version_ | 1785127342497071104 |
---|---|
author | Teles, Tarcísio N. Farias, Calvin A. F. Pakter, Renato Levin, Yan |
author_facet | Teles, Tarcísio N. Farias, Calvin A. F. Pakter, Renato Levin, Yan |
author_sort | Teles, Tarcísio N. |
collection | PubMed |
description | We present a Monte Carlo approach that allows us to easily implement Lynden-Bell (LB) entropy maximization for an arbitrary initial particle distribution. The direct maximization of LB entropy for an arbitrary initial distribution requires an infinite number of Lagrange multipliers to account for the Casimir invariants. This has restricted studies of Lynden-Bell’s violent relaxation theory to only a very small class of initial conditions of a very simple waterbag form, for which the entropy maximization can be performed numerically. In the present approach, an arbitrary initial distribution is discretized into density levels which are then evolved using an efficient Monte Carlo algorithm towards the final equilibrium state. A comparison is also made between the LB equilibrium and explicit Molecular Dynamics simulations. We find that for most initial distributions, relaxation is incomplete and the system is not able to reach the state of maximum LB entropy. In particular, we see that the tail of the stationary particle distribution is very different from the one predicted by the theory of violent relaxation, with a hard cutoff instead of an algebraic decay predicted by LB’s theory. |
format | Online Article Text |
id | pubmed-10606548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106065482023-10-28 A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems Teles, Tarcísio N. Farias, Calvin A. F. Pakter, Renato Levin, Yan Entropy (Basel) Article We present a Monte Carlo approach that allows us to easily implement Lynden-Bell (LB) entropy maximization for an arbitrary initial particle distribution. The direct maximization of LB entropy for an arbitrary initial distribution requires an infinite number of Lagrange multipliers to account for the Casimir invariants. This has restricted studies of Lynden-Bell’s violent relaxation theory to only a very small class of initial conditions of a very simple waterbag form, for which the entropy maximization can be performed numerically. In the present approach, an arbitrary initial distribution is discretized into density levels which are then evolved using an efficient Monte Carlo algorithm towards the final equilibrium state. A comparison is also made between the LB equilibrium and explicit Molecular Dynamics simulations. We find that for most initial distributions, relaxation is incomplete and the system is not able to reach the state of maximum LB entropy. In particular, we see that the tail of the stationary particle distribution is very different from the one predicted by the theory of violent relaxation, with a hard cutoff instead of an algebraic decay predicted by LB’s theory. MDPI 2023-09-25 /pmc/articles/PMC10606548/ /pubmed/37895502 http://dx.doi.org/10.3390/e25101379 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Teles, Tarcísio N. Farias, Calvin A. F. Pakter, Renato Levin, Yan A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems |
title | A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems |
title_full | A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems |
title_fullStr | A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems |
title_full_unstemmed | A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems |
title_short | A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems |
title_sort | monte carlo method for calculating lynden-bell equilibrium in self-gravitating systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606548/ https://www.ncbi.nlm.nih.gov/pubmed/37895502 http://dx.doi.org/10.3390/e25101379 |
work_keys_str_mv | AT telestarcision amontecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT fariascalvinaf amontecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT pakterrenato amontecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT levinyan amontecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT telestarcision montecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT fariascalvinaf montecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT pakterrenato montecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems AT levinyan montecarlomethodforcalculatinglyndenbellequilibriuminselfgravitatingsystems |