DocumentCode
659132
Title
Asymptotically equivalent sequences of matrices and relative entropy
Author
Gutierrez-Gutierrez, Jesus ; Crespo, P.M.
Author_Institution
CEIT, Univ. of Navarra, San Sebastian, Spain
fYear
2013
fDate
9-13 Sept. 2013
Firstpage
1
Lastpage
4
Abstract
In this paper we prove the asymptotic formula that has been recently used as a numerical integration method to approximate the relative entropy (or Kullback-Leibler distance) between two probability density functions with bounded support in terms of functions of Hermitian Toeplitz matrices. To prove that asymptotic formula we use the Gray concept of asymptotically equivalent sequences of matrices.
Keywords
Hermitian matrices; Toeplitz matrices; entropy; integration; probability; Gray concept; Hermitian Toeplitz matrices; Kullback-Leibler distance; asymptotic formula; asymptotically equivalent sequences; bounded support; numerical integration method; probability density functions; relative entropy; Educational institutions; Eigenvalues and eigenfunctions; Entropy; Equations; Information theory; Matrix decomposition; Probability density function;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop (ITW), 2013 IEEE
Conference_Location
Sevilla
Print_ISBN
978-1-4799-1321-3
Type
conf
DOI
10.1109/ITW.2013.6691255
Filename
6691255
Link To Document