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Universal and Non-Universal Features in the Random Shear Model

The stochastic transport of particles in a disordered two-dimensional layered medium, driven by correlated y-dependent random velocity fields is usually referred to as random shear model. This model exhibits a superdiffusive behavior in the x direction ascribable to the statistical properties of the...

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Autores principales: Cecconi, Fabio, Taloni, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600650/
https://www.ncbi.nlm.nih.gov/pubmed/37420370
http://dx.doi.org/10.3390/e24101350
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author Cecconi, Fabio
Taloni, Alessandro
author_facet Cecconi, Fabio
Taloni, Alessandro
author_sort Cecconi, Fabio
collection PubMed
description The stochastic transport of particles in a disordered two-dimensional layered medium, driven by correlated y-dependent random velocity fields is usually referred to as random shear model. This model exhibits a superdiffusive behavior in the x direction ascribable to the statistical properties of the disorder advection field. By introducing layered random amplitude with a power-law discrete spectrum, the analytical expressions for the space and time velocity correlation functions, together with those of the position moments, are derived by means of two distinct averaging procedures. In the case of quenched disorder, the average is performed over an ensemble of uniformly spaced initial conditions: albeit the strong sample-to-sample fluctuations, and universality appears in the time scaling of the even moments. Such universality is exhibited in the scaling of the moments averaged over the disorder configurations. The non-universal scaling form of the no-disorder symmetric or asymmetric advection fields is also derived.
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spelling pubmed-96006502022-10-27 Universal and Non-Universal Features in the Random Shear Model Cecconi, Fabio Taloni, Alessandro Entropy (Basel) Article The stochastic transport of particles in a disordered two-dimensional layered medium, driven by correlated y-dependent random velocity fields is usually referred to as random shear model. This model exhibits a superdiffusive behavior in the x direction ascribable to the statistical properties of the disorder advection field. By introducing layered random amplitude with a power-law discrete spectrum, the analytical expressions for the space and time velocity correlation functions, together with those of the position moments, are derived by means of two distinct averaging procedures. In the case of quenched disorder, the average is performed over an ensemble of uniformly spaced initial conditions: albeit the strong sample-to-sample fluctuations, and universality appears in the time scaling of the even moments. Such universality is exhibited in the scaling of the moments averaged over the disorder configurations. The non-universal scaling form of the no-disorder symmetric or asymmetric advection fields is also derived. MDPI 2022-09-24 /pmc/articles/PMC9600650/ /pubmed/37420370 http://dx.doi.org/10.3390/e24101350 Text en © 2022 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
Cecconi, Fabio
Taloni, Alessandro
Universal and Non-Universal Features in the Random Shear Model
title Universal and Non-Universal Features in the Random Shear Model
title_full Universal and Non-Universal Features in the Random Shear Model
title_fullStr Universal and Non-Universal Features in the Random Shear Model
title_full_unstemmed Universal and Non-Universal Features in the Random Shear Model
title_short Universal and Non-Universal Features in the Random Shear Model
title_sort universal and non-universal features in the random shear model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600650/
https://www.ncbi.nlm.nih.gov/pubmed/37420370
http://dx.doi.org/10.3390/e24101350
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