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- DTRSNA - estimate reciprocal condition numbers for specified eigenvalues
- and/or right eigenvectors of a real upper quasi-triangular matrix T (or
- of any matrix Q*T*Q**T with Q orthogonal)
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- SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
- SUBROUTINE DTRSNA( JOB, HOWMNY, SELECT, N, T, LDT, VL, LDVL, VR, LDVR, S,
- SEP, MM, M, WORK, LDWORK, IWORK, INFO )
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- CHARACTER HOWMNY, JOB
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- INTEGER INFO, LDT, LDVL, LDVR, LDWORK, M, MM, N
-
- LOGICAL SELECT( * )
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- INTEGER IWORK( * )
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- DOUBLE PRECISION S( * ), SEP( * ), T( LDT, * ), VL( LDVL, *
- ), VR( LDVR, * ), WORK( LDWORK, * )
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- PPPPUUUURRRRPPPPOOOOSSSSEEEE
- DTRSNA estimates reciprocal condition numbers for specified eigenvalues
- and/or right eigenvectors of a real upper quasi-triangular matrix T (or
- of any matrix Q*T*Q**T with Q orthogonal).
-
- T must be in Schur canonical form (as returned by DHSEQR), that is, block
- upper triangular with 1-by-1 and 2-by-2 diagonal blocks; each 2-by-2
- diagonal block has its diagonal elements equal and its off-diagonal
- elements of opposite sign.
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- JOB (input) CHARACTER*1
- Specifies whether condition numbers are required for eigenvalues
- (S) or eigenvectors (SEP):
- = 'E': for eigenvalues only (S);
- = 'V': for eigenvectors only (SEP);
- = 'B': for both eigenvalues and eigenvectors (S and SEP).
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- HOWMNY (input) CHARACTER*1
- = 'A': compute condition numbers for all eigenpairs;
- = 'S': compute condition numbers for selected eigenpairs
- specified by the array SELECT.
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- SELECT (input) LOGICAL array, dimension (N)
- If HOWMNY = 'S', SELECT specifies the eigenpairs for which
- condition numbers are required. To select condition numbers for
- the eigenpair corresponding to a real eigenvalue w(j), SELECT(j)
- must be set to .TRUE.. To select condition numbers corresponding
- to a complex conjugate pair of eigenvalues w(j) and w(j+1),
- either SELECT(j) or SELECT(j+1) or both, must be set to .TRUE..
- If HOWMNY = 'A', SELECT is not referenced.
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- N (input) INTEGER
- The order of the matrix T. N >= 0.
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- T (input) DOUBLE PRECISION array, dimension (LDT,N)
- The upper quasi-triangular matrix T, in Schur canonical form.
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- LDT (input) INTEGER
- The leading dimension of the array T. LDT >= max(1,N).
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- VL (input) DOUBLE PRECISION array, dimension (LDVL,M)
- If JOB = 'E' or 'B', VL must contain left eigenvectors of T (or
- of any Q*T*Q**T with Q orthogonal), corresponding to the
- eigenpairs specified by HOWMNY and SELECT. The eigenvectors must
- be stored in consecutive columns of VL, as returned by DHSEIN or
- DTREVC. If JOB = 'V', VL is not referenced.
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- LDVL (input) INTEGER
- The leading dimension of the array VL. LDVL >= 1; and if JOB =
- 'E' or 'B', LDVL >= N.
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- VR (input) DOUBLE PRECISION array, dimension (LDVR,M)
- If JOB = 'E' or 'B', VR must contain right eigenvectors of T (or
- of any Q*T*Q**T with Q orthogonal), corresponding to the
- eigenpairs specified by HOWMNY and SELECT. The eigenvectors must
- be stored in consecutive columns of VR, as returned by DHSEIN or
- DTREVC. If JOB = 'V', VR is not referenced.
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- LDVR (input) INTEGER
- The leading dimension of the array VR. LDVR >= 1; and if JOB =
- 'E' or 'B', LDVR >= N.
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- S (output) DOUBLE PRECISION array, dimension (MM)
- If JOB = 'E' or 'B', the reciprocal condition numbers of the
- selected eigenvalues, stored in consecutive elements of the
- array. For a complex conjugate pair of eigenvalues two
- consecutive elements of S are set to the same value. Thus S(j),
- SEP(j), and the j-th columns of VL and VR all correspond to the
- same eigenpair (but not in general the j-th eigenpair, unless all
- eigenpairs are selected). If JOB = 'V', S is not referenced.
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- SEP (output) DOUBLE PRECISION array, dimension (MM)
- If JOB = 'V' or 'B', the estimated reciprocal condition numbers
- of the selected eigenvectors, stored in consecutive elements of
- the array. For a complex eigenvector two consecutive elements of
- SEP are set to the same value. If the eigenvalues cannot be
- reordered to compute SEP(j), SEP(j) is set to 0; this can only
- occur when the true value would be very small anyway. If JOB =
- 'E', SEP is not referenced.
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- MM (input) INTEGER
- The number of elements in the arrays S (if JOB = 'E' or 'B')
- and/or SEP (if JOB = 'V' or 'B'). MM >= M.
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- M (output) INTEGER
- The number of elements of the arrays S and/or SEP actually used
- to store the estimated condition numbers. If HOWMNY = 'A', M is
- set to N.
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- WORK (workspace) DOUBLE PRECISION array, dimension (LDWORK,N+1)
- If JOB = 'E', WORK is not referenced.
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- LDWORK (input) INTEGER
- The leading dimension of the array WORK. LDWORK >= 1; and if JOB
- = 'V' or 'B', LDWORK >= N.
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- IWORK (workspace) INTEGER array, dimension (N)
- If JOB = 'E', IWORK is not referenced.
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- INFO (output) INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
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- FFFFUUUURRRRTTTTHHHHEEEERRRR DDDDEEEETTTTAAAAIIIILLLLSSSS
- The reciprocal of the condition number of an eigenvalue lambda is defined
- as
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- S(lambda) = |v'*u| / (norm(u)*norm(v))
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- where u and v are the right and left eigenvectors of T corresponding to
- lambda; v' denotes the conjugate-transpose of v, and norm(u) denotes the
- Euclidean norm. These reciprocal condition numbers always lie between
- zero (very badly conditioned) and one (very well conditioned). If n = 1,
- S(lambda) is defined to be 1.
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- An approximate error bound for a computed eigenvalue W(i) is given by
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- EPS * norm(T) / S(i)
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- where EPS is the machine precision.
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- The reciprocal of the condition number of the right eigenvector u
- corresponding to lambda is defined as follows. Suppose
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- T = ( lambda c )
- ( 0 T22 )
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- Then the reciprocal condition number is
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- SEP( lambda, T22 ) = sigma-min( T22 - lambda*I )
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- where sigma-min denotes the smallest singular value. We approximate the
- smallest singular value by the reciprocal of an estimate of the one-norm
- of the inverse of T22 - lambda*I. If n = 1, SEP(1) is defined to be
- abs(T(1,1)).
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- An approximate error bound for a computed right eigenvector VR(i) is
- given by
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- EPS * norm(T) / SEP(i)
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