Properties of the Singular Graph of Nonnegative Matrices.
Full rank factorization and the Flanders theorem.
Some characterizations of totally nonpositive (totally negative) matrices.
A Brauer’s theorem and related results
Given a square matrix A, a Brauer’s theorem [Brauer A., Limits for the characteristic roots of a matrix. IV. Applications to stochastic matrices, Duke Math. J., 1952, 19(1), 75–91] shows how to modify one single eigenvalue of A via a rank-one perturbation without changing any of the remaining eigenvalues. Older and newer results can be considered in the framework of the above theorem. In this paper, we present its application to stabilization of control systems, including the case when the system...
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