Generalizations of Fano’s Inequality for Conditional Information Measures via Majorization Theory
Fano’s inequality is one of the most elementary, ubiquitous, and important tools in information theory. Using majorization theory, Fano’s inequality is generalized to a broad class of information measures, which contains those of Shannon and Rényi. When specialized to th...
Main Author: | Yuta Sakai |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/3/288 |
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