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On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains

This paper is about Dirichlet averages in the matrix-variate case or averages of functions over the Dirichlet measure in the complex domain. The classical power mean contains the harmonic mean, arithmetic mean and geometric mean (Hardy, Littlewood and Polya), which is generalized to the y-mean by de...

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Autores principales: Thankamani, Princy, Sebastian, Nicy, Haubold, Hans J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670168/
https://www.ncbi.nlm.nih.gov/pubmed/37998226
http://dx.doi.org/10.3390/e25111534
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author Thankamani, Princy
Sebastian, Nicy
Haubold, Hans J.
author_facet Thankamani, Princy
Sebastian, Nicy
Haubold, Hans J.
author_sort Thankamani, Princy
collection PubMed
description This paper is about Dirichlet averages in the matrix-variate case or averages of functions over the Dirichlet measure in the complex domain. The classical power mean contains the harmonic mean, arithmetic mean and geometric mean (Hardy, Littlewood and Polya), which is generalized to the y-mean by de Finetti and hypergeometric mean by Carlson; see the references herein. Carlson’s hypergeometric mean averages a scalar function over a real scalar variable type-1 Dirichlet measure, which is known in the current literature as the Dirichlet average of that function. The idea is examined when there is a type-1 or type-2 Dirichlet density in the complex domain. Averages of several functions are computed in such Dirichlet densities in the complex domain. Dirichlet measures are defined when the matrices are Hermitian positive definite. Some applications are also discussed.
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spelling pubmed-106701682023-11-10 On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains Thankamani, Princy Sebastian, Nicy Haubold, Hans J. Entropy (Basel) Article This paper is about Dirichlet averages in the matrix-variate case or averages of functions over the Dirichlet measure in the complex domain. The classical power mean contains the harmonic mean, arithmetic mean and geometric mean (Hardy, Littlewood and Polya), which is generalized to the y-mean by de Finetti and hypergeometric mean by Carlson; see the references herein. Carlson’s hypergeometric mean averages a scalar function over a real scalar variable type-1 Dirichlet measure, which is known in the current literature as the Dirichlet average of that function. The idea is examined when there is a type-1 or type-2 Dirichlet density in the complex domain. Averages of several functions are computed in such Dirichlet densities in the complex domain. Dirichlet measures are defined when the matrices are Hermitian positive definite. Some applications are also discussed. MDPI 2023-11-10 /pmc/articles/PMC10670168/ /pubmed/37998226 http://dx.doi.org/10.3390/e25111534 Text en © 2023 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
Thankamani, Princy
Sebastian, Nicy
Haubold, Hans J.
On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains
title On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains
title_full On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains
title_fullStr On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains
title_full_unstemmed On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains
title_short On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains
title_sort on complex matrix-variate dirichlet averages and its applications in various sub-domains
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670168/
https://www.ncbi.nlm.nih.gov/pubmed/37998226
http://dx.doi.org/10.3390/e25111534
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