Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions

We discuss the application of ambit fields to the construction of stochastic vector fields in two dimensions that are divergence-free and statistically homogeneous and isotropic but are not invariant under the parity operation. These vector fields are derived from a stochastic stream function define...

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Main Author: Jürgen Schmiegel
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/8/1265
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author Jürgen Schmiegel
author_facet Jürgen Schmiegel
author_sort Jürgen Schmiegel
collection DOAJ
description We discuss the application of ambit fields to the construction of stochastic vector fields in two dimensions that are divergence-free and statistically homogeneous and isotropic but are not invariant under the parity operation. These vector fields are derived from a stochastic stream function defined as a weighted integral with respect to a Lévy basis. By construction, the stream function is homogeneous and isotropic and the corresponding vector field is, in addition, divergence-free. From a decomposition of the kernel in the Lévy-based integral, necessary conditions for the violation of parity symmetry are inferred. In particular, we focus on such fields that allow for skewness of projected increments, which is one of the cornerstones of the Kraichnan–Leith–Bachelor theory of two-dimensional turbulence.
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spelling doaj.art-a354ac7ddcbd4d0b8e1714f59cedbea52023-11-20T08:44:49ZengMDPI AGSymmetry2073-89942020-08-01128126510.3390/sym12081265Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two DimensionsJürgen Schmiegel0Department of Engineering, Aarhus University, 8000 Aarhus, DenmarkWe discuss the application of ambit fields to the construction of stochastic vector fields in two dimensions that are divergence-free and statistically homogeneous and isotropic but are not invariant under the parity operation. These vector fields are derived from a stochastic stream function defined as a weighted integral with respect to a Lévy basis. By construction, the stream function is homogeneous and isotropic and the corresponding vector field is, in addition, divergence-free. From a decomposition of the kernel in the Lévy-based integral, necessary conditions for the violation of parity symmetry are inferred. In particular, we focus on such fields that allow for skewness of projected increments, which is one of the cornerstones of the Kraichnan–Leith–Bachelor theory of two-dimensional turbulence.https://www.mdpi.com/2073-8994/12/8/1265ambit fieldsturbulenceisotropyhomogeneityskewnessdivergence-free
spellingShingle Jürgen Schmiegel
Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions
Symmetry
ambit fields
turbulence
isotropy
homogeneity
skewness
divergence-free
title Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions
title_full Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions
title_fullStr Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions
title_full_unstemmed Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions
title_short Ambit Field Modelling of Isotropic, Homogeneous, Divergence-Free and Skewed Vector Fields in Two Dimensions
title_sort ambit field modelling of isotropic homogeneous divergence free and skewed vector fields in two dimensions
topic ambit fields
turbulence
isotropy
homogeneity
skewness
divergence-free
url https://www.mdpi.com/2073-8994/12/8/1265
work_keys_str_mv AT jurgenschmiegel ambitfieldmodellingofisotropichomogeneousdivergencefreeandskewedvectorfieldsintwodimensions