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 :
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