Exact Demmel Condition Number Distribution of Complex Wishart Matrices via the Mellin Transform

2011 ◽  
Vol 15 (2) ◽  
pp. 175-177 ◽  
Author(s):  
Lu Wei ◽  
Matthew R. McKay ◽  
Olav Tirkkonen
2010 ◽  
Vol 58 (6) ◽  
pp. 1705-1717 ◽  
Author(s):  
Michail Matthaiou ◽  
Matthew Mckay ◽  
Peter Smith ◽  
Josef Nossek

2011 ◽  
Vol 59 (5) ◽  
pp. 1309-1320 ◽  
Author(s):  
Caijun Zhong ◽  
Matthew R. McKay ◽  
Tharm Ratnarajah ◽  
Kai-Kit Wong

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
M. Shakil ◽  
M. Ahsanullah

AbstractThe Demmel condition number is an indicator of the matrix condition, and its properties have recently found applications in many practical problems, such as in MIMO communication systems, in the analytical prediction of level-crossing and fade duration statistics of Rayleigh channels, and in spectrum sensing for cognitive radio systems, among others. As the characterizations of a probability distribution play an important role in probability and statistics, in this paper we study the characterizations of the distribution of the Demmel condition number of real Wishart matrices by truncated first moment. Since the truncated distributions arise in practical statistics where the ability of record observations is limited to a given threshold or within a specified range, we hope that these characterizations will be quite useful for practitioners and researchers in the fields of probability, statistics, and other applied sciences, such as actuarial science, linear algebra, multivariate statistics, physics, wireless communications, among others.


2017 ◽  
Vol 5 (1) ◽  
pp. 127-138 ◽  
Author(s):  
M. Shakil ◽  
M. Ahsanullah

Abstract In recent years, many researchers have studied the distributions of the Demmel (or the scaled) condition numbers (DCN) of complex Wishart matrices. In this paper, several new distributional properties of the distribution of the Demmel condition number of complex Wishart matrices are presented. The limiting distributions of the standardized extreme order statistics are given. Since the truncated distributions arise in practical statistics where the ability of record observations is limited to a given threshold or within a specified range, there has been a great interest, in recent years, in the characterizations of probability distributions by truncated moments. Before a particular probability distribution model is applied to fit the realworld data, it is necessary to confirm whether the given continuous probability distribution satisfies the underlying requirements by its characterization. Therefore, in this paper, some characterizations of the distribution of DCN are also shown. We hope that the findings of this paper will be quite useful in many fields of pure and applied sciences, such as, probability, statistics, multivariate statistics, linear algebra, operator algebra theory, actuarial science, physics, wireless communications, and polarimetric synthetic aperture radar (PolSAR), among others.


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