Non-linear Information Inequalities

We construct non-linear information inequalities from Mat´uˇs’ infinite series of linear information inequalities. Each single non-linear inequality is sufficiently strong to prove that the closure of the set of all entropy functions is not polyhedral for four or more random variables, a...

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Bibliographic Details
Main Authors: Terence Chan, Alex Grant
Format: Article
Language:English
Published: MDPI AG 2008-12-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/10/4/765/