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Marshall, A.W., Olkin, I. and Arnold, B.C. (2011) Doubly Stochastic Matrices. Inequalities: Theory of Majorization and Its Applications. Springer, New York.
http://dx.doi.org/10.1007/978-0-387-68276-1

has been cited by the following article:

• TITLE: Eigenvectors of Permutation Matrices

  AUTHORS: M. Isabel Garca-Planas, M. Dolors Magret

  KEYWORDS: Permutation Matrices, Eigenvalues, Eigenvectors

  JOURNAL NAME: Advances in Pure Mathematics, Vol.5 No.7, May 29, 2015

  ABSTRACT: The spectral properties of special matrices have been widely studied, because of their applications. We focus on permutation matrices over a finite field and, more concretely, we compute the minimal annihilating polynomial, and a set of linearly independent eigenvectors from the decomposition in disjoint cycles of the permutation naturally associated to the matrix.