Singular values, doubly stochastic matrices, and applications Original Research Article

The Hadamard square of any square matrix A is bounded above and below by some doubly stochastic matrices times the square of the largest and the smallest singular values of A. Applications to graphs, permanents, and eigenvalue perturbations are discussed.