Isoperimetric profile of radial probability measures on Euclidean spaces
classification
🧮 math.PR
math.MG
keywords
measureeuclideanprobabilitygaussiangeneralizationisoperimetricprofileprojections
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We derive the isoperimetric profile of Gaussian type for an absolutely continuous probability measure on Euclidean spaces with respect to the Lebesgue measure, whose density is a radial function.The key is a generalization of the Poincar\'e limit which asserts that the $n$-dimensional Gaussian measure is approximated by the projections of the uniform probability measure on the Euclidean sphere of appropriate radius to the first $n$-coordinates as the dimension diverges to infinity. The generalization is done by replacing the projections with certain maps.
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