NAG Library Routine Document
F08YGF (DTGSEN)
1 Purpose
F08YGF (DTGSEN) reorders the generalized Schur factorization of a matrix pair in real generalized Schur form, so that a selected cluster of eigenvalues appears in the leading elements, or blocks on the diagonal of the generalized Schur form. The routine also, optionally, computes the reciprocal condition numbers of the cluster of eigenvalues and/or corresponding deflating subspaces.
2 Specification
SUBROUTINE F08YGF ( |
IJOB, WANTQ, WANTZ, SELECT, N, A, LDA, B, LDB, ALPHAR, ALPHAI, BETA, Q, LDQ, Z, LDZ, M, PL, PR, DIF, WORK, LWORK, IWORK, LIWORK, INFO) |
INTEGER |
IJOB, N, LDA, LDB, LDQ, LDZ, M, LWORK, IWORK(*), LIWORK, INFO |
REAL (KIND=nag_wp) |
A(LDA,*), B(LDB,*), ALPHAR(N), ALPHAI(N), BETA(N), Q(LDQ,*), Z(LDZ,*), PL, PR, DIF(*), WORK(max(1,LWORK)) |
LOGICAL |
WANTQ, WANTZ, SELECT(N) |
|
The routine may be called by its
LAPACK
name dtgsen.
3 Description
F08YGF (DTGSEN) factorizes the generalized real
by
matrix pair
in real generalized Schur form, using an orthogonal equivalence transformation as
where
are also in real generalized Schur form and have the selected eigenvalues as the leading diagonal elements, or diagonal blocks. The leading columns of
and
are the generalized Schur vectors corresponding to the selected eigenvalues and form orthonormal subspaces for the left and right eigenspaces (deflating subspaces) of the pair
.
The pair
are in real generalized Schur form if
is block upper triangular with
by
and
by
diagonal blocks and
is upper triangular as returned, for example, by
F08XAF (DGGES), or
F08XEF (DHGEQZ) with
. The diagonal elements, or blocks, define the generalized eigenvalues
, for
, of the pair
. The eigenvalues are given by
but are returned as the pair
in order to avoid possible overflow in computing
. Optionally, the routine returns reciprocals of condition number estimates for the selected eigenvalue cluster,
and
, the right and left projection norms, and of deflating subspaces,
and
. For more information see Sections 2.4.8 and 4.11 of
Anderson et al. (1999).
If
and
are the result of a generalized Schur factorization of a matrix pair
then, optionally, the matrices
and
can be updated as
and
. Note that the condition numbers of the pair
are the same as those of the pair
.
4 References
Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999)
LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia
http://www.netlib.org/lapack/lug5 Parameters
- 1: IJOB – INTEGERInput
On entry: specifies whether condition numbers are required for the cluster of eigenvalues (
and
) or the deflating subspaces (
and
).
- Only reorder with respect to SELECT. No extras.
- Reciprocal of norms of ‘projections’ onto left and right eigenspaces with respect to the selected cluster ( and ).
- The upper bounds on and . -norm-based estimate ().
- Estimate of and . -norm-based estimate (). About five times as expensive as .
- Compute PL, PR and DIF as in , and . Economic version to get it all.
- Compute PL, PR and DIF as in , and .
Constraint:
.
- 2: WANTQ – LOGICALInput
On entry: if
, update the left transformation matrix
.
If , do not update .
- 3: WANTZ – LOGICALInput
On entry: if
, update the right transformation matrix
.
If , do not update .
- 4: SELECT(N) – LOGICAL arrayInput
On entry: specifies the eigenvalues in the selected cluster. To select a real eigenvalue
,
must be set to .TRUE..
To select a complex conjugate pair of eigenvalues and , corresponding to a by diagonal block, either or or both must be set to .TRUE.; a complex conjugate pair of eigenvalues must be either both included in the cluster or both excluded.
- 5: N – INTEGERInput
On entry: , the order of the matrices and .
Constraint:
.
- 6: A(LDA,) – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
A
must be at least
.
On entry: the matrix in the pair .
On exit: the updated matrix .
- 7: LDA – INTEGERInput
On entry: the first dimension of the array
A as declared in the (sub)program from which F08YGF (DTGSEN) is called.
Constraint:
.
- 8: B(LDB,) – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
B
must be at least
.
On entry: the matrix , in the pair .
On exit: the updated matrix
- 9: LDB – INTEGERInput
On entry: the first dimension of the array
B as declared in the (sub)program from which F08YGF (DTGSEN) is called.
Constraint:
.
- 10: ALPHAR(N) – REAL (KIND=nag_wp) arrayOutput
On exit: see the description of
BETA.
- 11: ALPHAI(N) – REAL (KIND=nag_wp) arrayOutput
On exit: see the description of
BETA.
- 12: BETA(N) – REAL (KIND=nag_wp) arrayOutput
On exit:
and
are the real and imaginary parts respectively of the
th eigenvalue, for
.
If is zero, then the th eigenvalue is real; if positive then is negative, and the th and st eigenvalues are a complex conjugate pair.
Conjugate pairs of eigenvalues correspond to the
by
diagonal blocks of
. These
by
blocks can be reduced by applying complex unitary transformations to
to obtain the complex Schur form
, where
is triangular (and complex). In this form
and
BETA are the diagonals of
and
respectively.
- 13: Q(LDQ,) – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
Q
must be at least
if
, and at least
otherwise.
On entry: if , the by matrix .
On exit: if
, the updated matrix
.
If
,
Q is not referenced.
- 14: LDQ – INTEGERInput
On entry: the first dimension of the array
Q as declared in the (sub)program from which F08YGF (DTGSEN) is called.
Constraints:
- if , ;
- otherwise .
- 15: Z(LDZ,) – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
Z
must be at least
if
, and at least
otherwise.
On entry: if , the by matrix .
On exit: if
, the updated matrix
.
If
,
Z is not referenced.
- 16: LDZ – INTEGERInput
On entry: the first dimension of the array
Z as declared in the (sub)program from which F08YGF (DTGSEN) is called.
Constraints:
- if , ;
- otherwise .
- 17: M – INTEGEROutput
On exit: the dimension of the specified pair of left and right eigenspaces (deflating subspaces).
- 18: PL – REAL (KIND=nag_wp)Output
- 19: PR – REAL (KIND=nag_wp)Output
On exit: if
,
or
,
PL and
PR are lower bounds on the reciprocal of the norm of ‘projections’
and
onto left and right eigenspaces with respect to the selected cluster.
,
.
If or , .
If
,
or
,
PL and
PR are not referenced.
- 20: DIF() – REAL (KIND=nag_wp) arrayOutput
-
Note: the dimension of the array
DIF
must be at least
.
On exit: if
,
store the estimates of
and
.
If or , are -norm-based upper bounds on and .
If or , are -norm-based estimates of and .
If or , .
If
or
,
DIF is not referenced.
- 21: WORK() – REAL (KIND=nag_wp) arrayWorkspace
On exit: if
,
returns the minimum
LWORK.
If
,
WORK is not referenced.
- 22: LWORK – INTEGERInput
On entry: the dimension of the array
WORK as declared in the (sub)program from which F08YGF (DTGSEN) is called.
If
, a workspace query is assumed; the routine only calculates the minimum sizes of the
WORK and
IWORK arrays, returns these values as the first entries of the
WORK and
IWORK arrays, and no error message related to
LWORK or
LIWORK is issued.
Constraints:
if
,
- if , ;
- if , or , ;
- if or , ;
- otherwise .
- 23: IWORK() – INTEGER arrayWorkspace
-
Note: the dimension of the array
IWORK
must be at least
.
On exit: if
,
returns the minimum
LIWORK.
If
,
IWORK is not referenced.
- 24: LIWORK – INTEGERInput
On entry: the dimension of the array
IWORK as declared in the (sub)program from which F08YGF (DTGSEN) is called.
If
, a workspace query is assumed; the routine only calculates the minimum sizes of the
WORK and
IWORK arrays, returns these values as the first entries of the
WORK and
IWORK arrays, and no error message related to
LWORK or
LIWORK is issued.
Constraints:
if
,
- if , or , ;
- if or , ;
- otherwise .
- 25: INFO – INTEGEROutput
On exit:
unless the routine detects an error (see
Section 6).
6 Error Indicators and Warnings
Errors or warnings detected by the routine:
If , argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
Reordering of
failed because the transformed matrix pair
would be too far from generalized Schur form; the problem is very ill-conditioned.
may have been partially reordered. If requested,
is returned in
,
PL and
PR.
7 Accuracy
The computed generalized Schur form is nearly the exact generalized Schur form for nearby matrices
and
, where
and
is the
machine precision. See Section 4.11 of
Anderson et al. (1999) for further details of error bounds for the generalized nonsymmetric eigenproblem, and for information on the condition numbers returned.
The complex analogue of this routine is
F08YUF (ZTGSEN).
9 Example
This example reorders the generalized Schur factors
and
and update the matrices
and
given by
selecting the first and fourth generalized eigenvalues to be moved to the leading positions. Bases for the left and right deflating subspaces, and estimates of the condition numbers for the eigenvalues and Frobenius norm based bounds on the condition numbers for the deflating subspaces are also output.
9.1 Program Text
Program Text (f08ygfe.f90)
9.2 Program Data
Program Data (f08ygfe.d)
9.3 Program Results
Program Results (f08ygfe.r)