4.7 Article

Most probable distributions and distributions of extremes for particle systems with hierarchical structures

Journal

CHAOS SOLITONS & FRACTALS
Volume 159, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2022.112170

Keywords

Most probable distributions; Distributions of extremes; Hierarchical structures; Delimitation; Effective Pauli principle

Ask authors/readers for more resources

This study investigates the problem of the most probable distributions on energy in a combinatorial formulation. It considers the natural hypotheses regarding conservation laws and obtains the particle distributions on the maximum and minimum energies, which can be interpreted as a sorting of particles based on their statistical mechanics behavior.
The problem of the most probable distributions on energy is studied in a combinatorial formulation, under the natural hypotheses regarding conservation laws, such as conservation of the total number of particles, total energy, etc. The particle distributions on the maximum and minimum energies are obtained and coincide with those found in the framework of the original combinatorial treatment. Two types of energy distributions for delimited particles are obtained. The results can be interpreted as sorting of particles based on their statistical mechanics behavior observed in various experiments. An effective Pauli principle arises in a non-contradictory way in one-particle observations both for once-and twice-delimited systems in the combinatorial formulation as well as in the problem of distributions on maximum and minimum energies. Many of the distributions obtained describe particles that do not have negative energy states.(c) 2022 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available