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Forward and Reverse Entropy Power Inequalities in Convex Geometry
Ist Teil von
Convexity and Concentration, p.427-485
Ort / Verlag
New York, NY: Springer New York
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
The entropy power inequality, which plays a fundamental role in information theory and probability, may be seen as an analogue of the Brunn-Minkowski inequality. Motivated by this connection to Convex Geometry, we survey various recent developments on forward and reverse entropy power inequalities not just for the Shannon-Boltzmann entropy but also more generally for Rényi entropy. In the process, we discuss connections between the so-called functional (or integral) and probabilistic (or entropic) analogues of some classical inequalities in geometric functional analysis.