Abstract
Let be a real-valued matrix with singular values and a random matrix of centered i.i.d. entries with finite fourth moment. In this paper we give a universal upper bound on the expectation of , where and (resp. ) is a rank- projection maximizing the Hilbert-Schmidt norm (resp. ) over the set of all orthogonal rank- projections. This result is a generalization of a theorem for Gaussian matrices due to Rohde (2012). Our approach differs substantially from the techniques of the mentioned article. We analyze from a rather deterministic point of view by an upper bound on , whose randomness is totally determined by the largest singular value of .
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