Introduction to Matrix Analysis |
Contents
Foreword | 1 |
Chapter | 12 |
Diagonalization and Canonical Forms | 32 |
Copyright | |
16 other sections not shown
Common terms and phrases
A₁ AijXj algebraic analysis analytic b₁ Bellman c₁ Chap characteristic roots characteristic values characteristic vector associated coefficients column commute complex components Consider defined denote derive determinantal diagonal form differential equations discussion distinct characteristic roots Duke Math elements exists foregoing functional equation given Hence Hermitian matrix inequality integral Kronecker Kronecker products Ky Fan linear equations linear systems linearly independent Markoff matrix mathematical matrix theory method minimum MISCELLANEOUS EXERCISES multiple necessary and sufficient non-negative definite nonsingular nonsingular matrix nontrivial solution nonzero notation obtain orthogonal matrix Perron polynomial positive definite positive matrix probability vector problem of determining Proc proof quadratic form quantities recurrence relation representation result satisfying scalar sequence Show simple stochastic sufficient condition symmetric matrices Taussky techniques Theorem transformation unitary unitary matrix variables x,Ax yields zero λε λι