Exact Solutions for Small Systems: Urns Models

Fuente: arXiv
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Auteurs principaux: Hernández-García, Manuel Eduardo, Velázquez-Castro, Jorge
Format: Preprint
Publié: 2024
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author Hernández-García, Manuel Eduardo
Velázquez-Castro, Jorge
author_facet Hernández-García, Manuel Eduardo
Velázquez-Castro, Jorge
contents In this study, we analyzed urn models by solving the discrete-time master equation using an expansion in moments. This approach is a viable alternative to conventional methods, such as system-size expansion, allowing for the determination of analytical expressions for the mean and variance in an exact form and thus valid for any system size. In particular, this approach was used to study Bernoulli-Laplace and Ehrenfest urns, for which analytic expressions describing their evolution were found. This approach and the results will contribute to a more comprehensive understanding of stochastic systems and statistical physics for small-sized systems, where the thermodynamic limit cannot be assumed.
format Preprint
id arxiv_https___arxiv_org_abs_2408_11244
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exact Solutions for Small Systems: Urns Models
Hernández-García, Manuel Eduardo
Velázquez-Castro, Jorge
Statistical Mechanics
Probability
60
G.3
In this study, we analyzed urn models by solving the discrete-time master equation using an expansion in moments. This approach is a viable alternative to conventional methods, such as system-size expansion, allowing for the determination of analytical expressions for the mean and variance in an exact form and thus valid for any system size. In particular, this approach was used to study Bernoulli-Laplace and Ehrenfest urns, for which analytic expressions describing their evolution were found. This approach and the results will contribute to a more comprehensive understanding of stochastic systems and statistical physics for small-sized systems, where the thermodynamic limit cannot be assumed.
title Exact Solutions for Small Systems: Urns Models
topic Statistical Mechanics
Probability
60
G.3
url https://arxiv.org/abs/2408.11244