Topics in Matrix Analysis
Building on the foundations of its predecessor volume, Matrix Analysis, this book treats in detail several topics in matrix theory not included in the previous volume, but with important applications and of special mathematical interest. As with the previous volume, the authors assume a background knowledge of elementary linear algebra and rudimentary analytical concepts. Many examples and exercises of varying difficulty are included.
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assertion bound coefficients column commutes complex conclude condition Consider continuously differentiable Corollary decreasingly ordered defined denote diagonal matrix diagonalizable doubly stochastic eigenvalues eigenvector equivalent example Exercise field of values formula function f function on H given matrix H n a,b Hadamard product halfplane Hermitian matrices identity ifand inequality inthe Jordan blocks Jordan canonical form Kronecker product Lemma main diagonal entries matrix norm minimal polynomial Mmatrix monotone matrix function multiplicities nonnegative nonnegative matrix nonsingular nonzero normal normal matrix nullspace ofthe orthogonal permutation matrix positive semidefinite positive stable primary matrix function principal minors principal submatrix Problem Proof rank result satisfies scalar Section showthat singular value decomposition spectral norm square root suppose symmetric Theorem unitarily invariant norm unitary matrix unitary similarity upper triangular vector Verify zero λ ϵ