-
Let
be an inner product space and let be a linear operator on . is self-adjoint if Similarly, a matrix
is self-adjoint if We also call these matrices Hermitian Matrices
-
An important example of such a matrix is a symmetric matrix where
. -
(Friedberg Lem.6.17.1) Let
be a self-adjoint operator on a finite-dimensional inner product space . Then - Every eigenvalue of
is real. That is - The characteristic polynomial of
splits.
- Every eigenvalue of
-
(Friedberg 6.17) Let
be a linear operator on a finite dimensional real inner product space . Then is self-adjoint if and only if there exists an orthonormal basis of eigenvectors of . -
A similar class of matrices is the skew-adjoint matrices. Defined such that
- An important example of such a matrix is a skew-symmetric matrix where
- Let
be a skew-adjoint operator on a finite-dimensional inner product space on . Then - Every eigenvalue is pure imaginary. That is
- The characteristic polynomial splits.
- Every eigenvalue is pure imaginary. That is
- An important example of such a matrix is a skew-symmetric matrix where
-
Let
. is a Gramian matrix if there exists a real square matrix such that -
(Friedberg e6.4.12)
is a Gramian matrix If and only if is symmetric and all its eigenvalues are nonnegative. -
(Friedberg Lem.6.18) Let
be a finite dimensional inner product space and let be a self adjoint operator on . If then .