Theorem 12. The eigenvalues of a Hermitian matrix [or symmetric real matrix] are real. The eigenvalues of a skew-Hermitian matrix [or skew-symmetric real matrix] are zero or pure imaginary. The eigenvalues of a unitary [or real orthogonal matrix] all have absolute value equal to 1.
Theorem 13. The eigenvectors belonging to different eigenvalues of a Hermitian matrix [or symmetric real matrix] are orthogonal.
Theorem 14. [Cayley-Hamilton] A matrix satisfies its own characteristic equation.
Theorem 15. [reduction of matrix to diagonal form] If a non-singular matrix has distinct eigenvalues with corresponding eigenvectors written as columns in the matrix
then
i.e. , called the transform of by , is a diagonal matrix containing the eigenvalues of in the main diagonal and zeros elsewhere. We say that has been transformed or reduced to diagonal form.
Theorem 16. [Reduction of quadratic form to canonical form] Let be a symmetric matrix, for example,
Then if , we obtain the quadratic form
The cross product terms of this quadratic form can be removed by letting where is the column vector with elements and is an orthogonal matrix which diagonalizes . The new quadratic form in with no cross product terms is called the canonical form. A generalization can be made to Hermitian quadratic forms.