Simple and exact extreme eigenvalue distributions of finite Wishart matrices

The authors provide compact and exact expressions for the extreme eigenvalues of finite Wishart matrices with arbitrary dimensions. Using a combination of earlier results, which they refer to as the James–Edelman–Dighe framework, not only an original expression for the cumulative distribution functi...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IET communications Ročník 9; číslo 7; s. 990 - 998
Hlavní autoři:	Zhang, Wensheng, Zheltov, Pavel, Abreu, Giuseppe
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 07.05.2015
Témata:	catalectic properties CDF coefficient matrix Coefficients Construction cumulative density function Determinants Eigenvalues eigenvalues and eigenfunctions exact extreme eigenvalue distribution Exact solutions exponential distribution exponential vector finite Wishart matrix Hankel matrices incomplete gamma function Hankel matrix James‐Edelman‐Dighe framework Mathematical analysis monomial vector probability density function simple extreme eigenvalue distribution Theorems Vectors (mathematics) incomplete gamma function Hankel matrix CDF cumulative density function coefficient matrix Hankel matrices monomial vector eigenvalues and eigenfunctions exact extreme eigenvalue distribution simple extreme eigenvalue distribution exponential distribution James-Edelman-Dighe framework finite Wishart matrix exponential vector catalectic properties probability density function
ISSN:	1751-8628, 1751-8636
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!