 
 
 
 
 
 
 
 
 
 
Suppose  is a unitary matrix, i.e.,
 is a unitary matrix, i.e.,  .
If
.
If  is real then
 is real then  and we say that
 and we say that  is an
orthogonal matrix. Let
 is an
orthogonal matrix. Let  .
We say that
.
We say that  is
unitarily (orthogonally) similar to
 is
unitarily (orthogonally) similar to  ,
and that
,
and that  is a unitary (orthogonal) similarity transformation.
 
If
 is a unitary (orthogonal) similarity transformation.
 
If  is Hermitian, so is
 is Hermitian, so is  , and it has the same eigenvalues.
The similarity transformation corresponds to introducing a new basis with
the columns of
, and it has the same eigenvalues.
The similarity transformation corresponds to introducing a new basis with
the columns of  as vectors. If
 as vectors. If  is an eigenvector of the transformed
matrix
 is an eigenvector of the transformed
matrix  , then
, then  is an eigenvector of the original matrix
 is an eigenvector of the original matrix  .
.