Log sum inequality
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The log sum inequality is used for proving theorems in information theory.
Proof
Notice that after setting we have
where the inequality follows from Jensen's inequality since , , and is convex.[1]
Generalizations
The inequality remains valid for provided that and .[citation needed] The proof above holds for any function such that is convex, such as all continuous non-decreasing functions. Generalizations to non-decreasing functions other than the logarithm is given in Csiszár, 2004.
Another generalization is due to Dannan, Neff and Thiel, who showed that if and are positive real numbers with and , and , then . [2]