EconPapers    
Economics at your fingertips  
 

Tsallis’ statistics for long range interactions: Gravity

A. Plastino, D. Monteoliva and M.C. Rocca

Physica A: Statistical Mechanics and its Applications, 2022, vol. 589, issue C

Abstract: Using Schwartz’ distribution-theory tools developed in Plastino and Rocca (2018) and applied in several recent references we compare the canonical ensemble treatment of gravity for both Boltzmann–Gibbs’ and Tsallis’ statistics. We provide new arguments, based on the celebrated Cramer Rao inequality, supporting the long dated conjecture that Tsallis statistics is the proper one for dealing with long range interactions.

Keywords: Canonical ensembles for gravitation; Tsallis and Boltzmann–Gibbs versions; Fisher measures; Cramer–Rao inequality (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121008645
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008645

DOI: 10.1016/j.physa.2021.126597

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008645