The log-sum inequality, also known as Jensen's inequality in the context of convex functions, relates to the properties of logarithmic functions and the concavity of such functions.
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For nonnegative , with and , the log-sum inequality isIt proves both Gibbs inequality and the data processing inequality for relative entropy.