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We study the recovery of Hermitian low rank matrices X∈Cn×n from undersampled measurements via nuclear norm minimization. We consider the particular scenario where the measurements are Frobenius inner products with random rank-one matrices of the form ajaj⁎ for some measurement vectors a1,…,am, i.e., the measurements are given by bj=tr(Xajaj⁎). The case where the matrix X=xx⁎ to be recovered is of...
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