ztrsen(3)
NAME
- ZTRSEN - reorder the Schur factorization of a complex ma
- trix A = Q*T*Q**H, so that a selected cluster of eigenvalues ap
- pears in the leading positions on the diagonal of the upper tri
- angular matrix T, and the leading columns of Q form an orthonor
- mal basis of the corresponding right invariant subspace
SYNOPSIS
SUBROUTINE ZTRSEN( JOB, COMPQ, SELECT, N, T, LDT, Q, LDQ,
W, M, S, SEP, WORK, LWORK, INFO )
CHARACTER COMPQ, JOB
INTEGER INFO, LDQ, LDT, LWORK, M, N
DOUBLE PRECISION S, SEP
LOGICAL SELECT( * )
COMPLEX*16 Q( LDQ, * ), T( LDT, * ), W( * ), WORK(
* )
PURPOSE
- ZTRSEN reorders the Schur factorization of a complex ma
- trix A = Q*T*Q**H, so that a selected cluster of eigenvalues ap
- pears in the leading positions on the diagonal of the upper tri
- angular matrix T, and the leading columns of Q form an orthonor
- mal basis of the corresponding right invariant subspace. Option
- ally the routine computes the reciprocal condition numbers of the
- cluster of eigenvalues and/or the invariant subspace.
ARGUMENTS
- JOB (input) CHARACTER*1
- Specifies whether condition numbers are required
- for the cluster of eigenvalues (S) or the invariant subspace
- (SEP):
= 'N': none;
= 'E': for eigenvalues only (S);
= 'V': for invariant subspace only (SEP);
= 'B': for both eigenvalues and invariant subspace
- (S and SEP).
- COMPQ (input) CHARACTER*1
- = 'V': update the matrix Q of Schur vectors;
= 'N': do not update Q.
- SELECT (input) LOGICAL array, dimension (N)
- SELECT specifies the eigenvalues in the selected
- cluster. To select the j-th eigenvalue, SELECT(j) must be set to
- .TRUE..
- N (input) INTEGER
- The order of the matrix T. N >= 0.
- T (input/output) COMPLEX*16 array, dimension (LDT,N)
- On entry, the upper triangular matrix T. On exit,
- T is overwritten by the reordered matrix T, with the selected
- eigenvalues as the leading diagonal elements.
- LDT (input) INTEGER
- The leading dimension of the array T. LDT >=
- max(1,N).
- Q (input/output) COMPLEX*16 array, dimension (LDQ,N)
- On entry, if COMPQ = 'V', the matrix Q of Schur
- vectors. On exit, if COMPQ = 'V', Q has been postmultiplied by
- the unitary transformation matrix which reorders T; the leading M
- columns of Q form an orthonormal basis for the specified invari
- ant subspace. If COMPQ = 'N', Q is not referenced.
- LDQ (input) INTEGER
- The leading dimension of the array Q. LDQ >= 1;
- and if COMPQ = 'V', LDQ >= N.
- W (output) COMPLEX*16 array, dimension (N)
- The reordered eigenvalues of T, in the same order
- as they appear on the diagonal of T.
- M (output) INTEGER
- The dimension of the specified invariant subspace.
- 0 <= M <= N.
- S (output) DOUBLE PRECISION
- If JOB = 'E' or 'B', S is a lower bound on the re
- ciprocal condition number for the selected cluster of eigenval
- ues. S cannot underestimate the true reciprocal condition number
- by more than a factor of sqrt(N). If M = 0 or N, S = 1. If JOB =
- 'N' or 'V', S is not referenced.
- SEP (output) DOUBLE PRECISION
- If JOB = 'V' or 'B', SEP is the estimated recipro
- cal condition number of the specified invariant subspace. If M =
- 0 or N, SEP = norm(T). If JOB = 'N' or 'E', SEP is not refer
- enced.
- WORK (workspace/output) COMPLEX*16 array, dimension
- (LWORK)
- If JOB = 'N', WORK is not referenced. Otherwise,
- on exit, if INFO = 0, WORK(1) returns the optimal LWORK.
- LWORK (input) INTEGER
- The dimension of the array WORK. If JOB = 'N',
- LWORK >= 1; if JOB = 'E', LWORK = M*(N-M); if JOB = 'V' or 'B',
- LWORK >= 2*M*(N-M).
- If LWORK = -1, then a workspace query is assumed;
- the routine only calculates the optimal size of the WORK array,
- returns this value as the first entry of the WORK array, and no
- error message related to LWORK is issued by XERBLA.
- INFO (output) INTEGER
- = 0: successful exit
< 0: if INFO = -i, the i-th argument had an ille
- gal value
FURTHER DETAILS
- ZTRSEN first collects the selected eigenvalues by comput
- ing a unitary transformation Z to move them to the top left cor
- ner of T. In other words, the selected eigenvalues are the eigen
- values of T11 in:
Z'*T*Z = ( T11 T12 ) n1
- where N = n1+n2 and Z' means the conjugate transpose of Z.
- The first n1 columns of Z span the specified invariant subspace
- of T.
- If T has been obtained from the Schur factorization of a
- matrix A = Q*T*Q', then the reordered Schur factorization of A is
- given by A = (Q*Z)*(Z'*T*Z)*(Q*Z)', and the first n1 columns of
- Q*Z span the corresponding invariant subspace of A.
- The reciprocal condition number of the average of the
- eigenvalues of T11 may be returned in S. S lies between 0 (very
- badly conditioned) and 1 (very well conditioned). It is computed
- as follows. First we compute R so that
P = ( I R ) n1
- is the projector on the invariant subspace associated with
- T11. R is the solution of the Sylvester equation:
T11*R - R*T22 = T12.
- Let F-norm(M) denote the Frobenius-norm of M and 2-norm(M)
- denote the two-norm of M. Then S is computed as the lower bound
(1 + F-norm(R)**2)**(-1/2)
- on the reciprocal of 2-norm(P), the true reciprocal condi
- tion number. S cannot underestimate 1 / 2-norm(P) by more than a
- factor of sqrt(N).
- An approximate error bound for the computed average of the
- eigenvalues of T11 is
EPS * norm(T) / S
- where EPS is the machine precision.
- The reciprocal condition number of the right invariant
- subspace spanned by the first n1 columns of Z (or of Q*Z) is re
- turned in SEP. SEP is defined as the separation of T11 and T22:
sep( T11, T22 ) = sigma-min( C )
- where sigma-min(C) is the smallest singular value of the
n1*n2-by-n1*n2 matrix
C = kprod( I(n2), T11 ) - kprod( transpose(T22), I(n1)
- )
- I(m) is an m by m identity matrix, and kprod denotes the
- Kronecker product. We estimate sigma-min(C) by the reciprocal of
- an estimate of the 1-norm of inverse(C). The true reciprocal
- 1-norm of inverse(C) cannot differ from sigma-min(C) by more than
- a factor of sqrt(n1*n2).
- When SEP is small, small changes in T can cause large
- changes in the invariant subspace. An approximate bound on the
- maximum angular error in the computed right invariant subspace is
EPS * norm(T) / SEP
- LAPACK version 3.0 15 June 2000