Some eigenvalues and trace inequalities for matrices

In matrix theory, the more information about the spectrum gives the power of understanding matrices better. The spectrum can be identified by the knowledge of the spectral radius and the minimum eigenvalue of a matrix. In this thesis, the studies about the lower and upper bounds for the spectral radius and the lower bounds for the minimum eigenvalue of a matrix are investigated. In these studies, the Hadamard, the Kronecker and the Fan product of matrices are widely used to establish new types of matrices. Then several existing results are improved for these products and their algebraic characterizations. Furthermore, the lower bounds for the minimum eigenvalue of the Hadamard product of an M-matrix and its inverse are examined and some new lower bounds are computed. Keywords: Spectral radius, minimum eigenvalue, inverse of a matrix, Hadamard product, M-matrix.