Abstract
We consider products of uniform random variables from the Stiefel manifold of orthonormal -frames in , , and random vectors from the -dimensional -ball with certain -radial distributions, . The distribution of this product geometrically corresponds to the projection of the -radial distribution on onto a random -dimensional subspace. We derive large deviation principles (LDPs) on the space of probability measures on for sequences of such projections.
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