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Some upper bounds for relative entropy and applications

โœ Scribed by S.S. Dragomir; M.L. Scholz; J. Sunde


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
500 KB
Volume
39
Category
Article
ISSN
0898-1221

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โœฆ Synopsis


In this paper, we derive some upper bounds for the relative entropy D(p 11 q) of two probability distribution and apply them to mutual information and entropy mapping. To achieve this, we use an inequality for the logarithm function, (2.3) below, and some classical inequalities such as the Kantorovic Inequality and Diaz-Metcalf Inequality.


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