A conditional limit theorem for high-dimensional p spheres
Abstract
The study of high-dimensional distributions is of interest in probability theory, statistics and asymptotic convex geometry, where the object of interest is the uniform distribution on a convex set in high dimensions. The p spaces and norms are of particular interest in this setting. In this paper, we establish a limit theorem for distributions on p spheres, conditioned on a rare event, in a high-dimensional geometric setting. As part of our proof, we establish a certain large deviation principle that is also relevant to the study of the tail behavior of random projections of p balls in a high-dimensional Euclidean space.
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