On Log-Concave-Tailed Chaoses and the Restricted Isometry Property
Abstract
In this paper, we obtain a p-th moment bound for the suprema of a log-concave-tailed nonhomogeneous chaos process, which is optimal in some special cases. A crucial ingredient of the proof is a novel decoupling inequality, which may be of independent interest. With this p-th moment bound, we show two uniform Hanson-Wright type deviation inequalities for α-subexponential entries (1 α 2), which recover some known results. As applications, we prove the restricted isometry property of partial random circulant matrices and time-frequency structured random matrices induced by standard α-subexponential vectors (1 α 2), which extends the previously known results for the subgaussian case.
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