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

Author:

Thankamani Princy1,Sebastian Nicy2ORCID,Haubold Hans J.3ORCID

Affiliation:

1. Department of Statistics, Cochin University of Science and Technology, Cochin 682 022, India

2. Department of Statistics, St. Thomas College Thrissur, Calicut University, Thenhipalam 680 001, India

3. Office for Outer Space Affairs, United Nations, Vienna International Center, A-1400 Vienna, Austria

Abstract

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.

Publisher

MDPI AG

Subject

General Physics and Astronomy

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3. Erdős, L., and Yau, H. (2017). A Dynamical Approach to Random Matrix Theory, New York University.

4. Analyzing model robustness via a distortion of the stochastic root: A Dirichlet prior approach;Mai;Stat. Risk Model.,2015

5. Latent Dirichlet Allocation;Blei;J. Mach. Learn. Res.,2003

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