Cargando…
Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process
The Ornstein-Uhlenbeck stochastic process is an exact mathematical model providing accurate representations of many real dynamic processes in systems in a stationary state. When applied to the description of random motion of particles such as that of Brownian particles, it provides exact predictions...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626708/ https://www.ncbi.nlm.nih.gov/pubmed/28974759 http://dx.doi.org/10.1038/s41598-017-12737-1 |
_version_ | 1783268582412517376 |
---|---|
author | Donado, F. Moctezuma, R. E. López-Flores, L. Medina-Noyola, M. Arauz-Lara, J. L. |
author_facet | Donado, F. Moctezuma, R. E. López-Flores, L. Medina-Noyola, M. Arauz-Lara, J. L. |
author_sort | Donado, F. |
collection | PubMed |
description | The Ornstein-Uhlenbeck stochastic process is an exact mathematical model providing accurate representations of many real dynamic processes in systems in a stationary state. When applied to the description of random motion of particles such as that of Brownian particles, it provides exact predictions coinciding with those of the Langevin equation but not restricted to systems in thermal equilibrium but only conditioned to be stationary. Here, we investigate experimentally single particle motion in a two-dimensional granular system in a stationary state, consisting of 1 mm stainless balls on a plane circular surface. The motion of the particles is produced by an alternating magnetic field applied perpendicular to the surface of the container. The mean square displacement of the particles is measured for a range of low concentrations and it is found that following an appropriate scaling of length and time, the short-time experimental curves conform a master curve covering the range of particle motion from ballistic to diffusive in accordance with the description of the Ornstein-Uhlenbeck model. |
format | Online Article Text |
id | pubmed-5626708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56267082017-10-12 Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process Donado, F. Moctezuma, R. E. López-Flores, L. Medina-Noyola, M. Arauz-Lara, J. L. Sci Rep Article The Ornstein-Uhlenbeck stochastic process is an exact mathematical model providing accurate representations of many real dynamic processes in systems in a stationary state. When applied to the description of random motion of particles such as that of Brownian particles, it provides exact predictions coinciding with those of the Langevin equation but not restricted to systems in thermal equilibrium but only conditioned to be stationary. Here, we investigate experimentally single particle motion in a two-dimensional granular system in a stationary state, consisting of 1 mm stainless balls on a plane circular surface. The motion of the particles is produced by an alternating magnetic field applied perpendicular to the surface of the container. The mean square displacement of the particles is measured for a range of low concentrations and it is found that following an appropriate scaling of length and time, the short-time experimental curves conform a master curve covering the range of particle motion from ballistic to diffusive in accordance with the description of the Ornstein-Uhlenbeck model. Nature Publishing Group UK 2017-10-03 /pmc/articles/PMC5626708/ /pubmed/28974759 http://dx.doi.org/10.1038/s41598-017-12737-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Donado, F. Moctezuma, R. E. López-Flores, L. Medina-Noyola, M. Arauz-Lara, J. L. Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process |
title | Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process |
title_full | Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process |
title_fullStr | Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process |
title_full_unstemmed | Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process |
title_short | Brownian motion in non-equilibrium systems and the Ornstein-Uhlenbeck stochastic process |
title_sort | brownian motion in non-equilibrium systems and the ornstein-uhlenbeck stochastic process |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626708/ https://www.ncbi.nlm.nih.gov/pubmed/28974759 http://dx.doi.org/10.1038/s41598-017-12737-1 |
work_keys_str_mv | AT donadof brownianmotioninnonequilibriumsystemsandtheornsteinuhlenbeckstochasticprocess AT moctezumare brownianmotioninnonequilibriumsystemsandtheornsteinuhlenbeckstochasticprocess AT lopezfloresl brownianmotioninnonequilibriumsystemsandtheornsteinuhlenbeckstochasticprocess AT medinanoyolam brownianmotioninnonequilibriumsystemsandtheornsteinuhlenbeckstochasticprocess AT arauzlarajl brownianmotioninnonequilibriumsystemsandtheornsteinuhlenbeckstochasticprocess |