A note on the convex infimum convolution inequality
classification
🧮 math.PR
keywords
convexconvolutioninequalityinfimummeasuresargumentcharacterizeconcentration
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We characterize the symmetric measures which satisfy the one dimensional convex infimum convolution inequality of Maurey. For these measures the tensorization argument yields the two level Talagrand's concentration inequalities for their products and convex sets in $\mathbb{R}^n$.
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