 
 
 
 
 
 
 
 
 
 
 will be
new copies of already converged eigenvalues and we will also get
spurious eigenvalues of
 will be
new copies of already converged eigenvalues and we will also get
spurious eigenvalues of  . Such an eigenvalue occurs suddenly
at a certain step
. Such an eigenvalue occurs suddenly
at a certain step  only to disappear at the next step.
 only to disappear at the next step.
Cullum [90] has devised a way to weed out such extra
copies and spurious values. She takes the tridiagonal matrix  and another
 and another
 , which is obtained from
, which is obtained from  by deleting the first row and column.
All eigenvalues of
 by deleting the first row and column.
All eigenvalues of  that are very close to eigenvalues of
 that are very close to eigenvalues of  need special consideration. If such an eigenvalue is a multiple
eigenvalue of
need special consideration. If such an eigenvalue is a multiple
eigenvalue of  , keep one of them and discard the rest as copies,
remembering that an unreduced tridiagonal matrix by definition has only
simple eigenvalues. If a simple eigenvalue of
, keep one of them and discard the rest as copies,
remembering that an unreduced tridiagonal matrix by definition has only
simple eigenvalues. If a simple eigenvalue of  is also an eigenvalue
of
 is also an eigenvalue
of  , it is spurious and should be discarded.
, it is spurious and should be discarded.
 
 
 
 
 
 
 
 
