ZTRSNA(3f)

NAME
ZTRSNA - reciprocal condition numbers for specified eigenvalues and/or right eigenvectors of a complex upper triangular matrix T (or of any matrix Q*T*Q**H with Q unitary)

SYNOPSIS

SUBROUTINE ZTRSNA(
    JOB, HOWMNY, SELECT, N, T, LDT, VL, LDVL, VR, LDVR, S, SEP, MM, M, WORK, LDWORK, RWORK, INFO )

CHARACTER
    HOWMNY, JOB

INTEGER
    INFO, LDT, LDVL, LDVR, LDWORK, M, MM, N

LOGICAL
    SELECT( * )

DOUBLE
    PRECISION RWORK( * ), S( * ), SEP( * )

COMPLEX*16
    T( LDT, * ), VL( LDVL, * ), VR( LDVR, * ), WORK( LDWORK, * )

PURPOSE
ZTRSNA estimates reciprocal condition numbers for specified eigenvalues and/or right eigenvectors of a complex upper triangular matrix T (or of any matrix Q*T*Q**H with Q unitary).

ARGUMENTS

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).

HOWMNY  (input) CHARACTER*1
    = 'A': compute condition numbers for all eigenpairs;
    = 'S': compute condition numbers for selected eigenpairs specified by the array SELECT.

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 j-th eigenpair, SELECT(j) must be set to .TRUE.. If HOWMNY = 'A', SELECT is not referenced.

N       (input) INTEGER
    The order of the matrix T. N >= 0.

T       (input) COMPLEX*16 array, dimension (LDT,N)
    The upper triangular matrix T.

LDT     (input) INTEGER
    The leading dimension of the array T. LDT >= max(1,N).

VL      (input) COMPLEX*16 array, dimension (LDVL,M)
    If JOB = 'E' or 'B', VL must contain left eigenvectors of T (or of any Q*T*Q**H with Q unitary), corresponding to the eigenpairs specified by HOWMNY and SELECT. The eigenvectors must be stored in consecutive columns of VL, as returned by ZHSEIN or ZTREVC. If JOB = 'V', VL is not referenced.

LDVL    (input) INTEGER
    The leading dimension of the array VL. LDVL >= 1; and if JOB = 'E' or 'B', LDVL >= N.

VR      (input) COMPLEX*16 array, dimension (LDVR,M)
    If JOB = 'E' or 'B', VR must contain right eigenvectors of T (or of any Q*T*Q**H with Q unitary), corresponding to the eigenpairs specified by HOWMNY and SELECT. The eigenvectors must be stored in consecutive columns of VR, as returned by ZHSEIN or ZTREVC. If JOB = 'V', VR is not referenced.

LDVR    (input) INTEGER
    The leading dimension of the array VR. LDVR >= 1; and if JOB = 'E' or 'B', LDVR >= N.

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. 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.

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. If JOB = 'E', SEP is not referenced.

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.

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.

WORK    (workspace) COMPLEX*16 array, dimension (LDWORK,N+6)
    If JOB = 'E', WORK is not referenced.

LDWORK  (input) INTEGER
    The leading dimension of the array WORK. LDWORK >= 1; and if JOB = 'V' or 'B', LDWORK >= N.

RWORK   (workspace) DOUBLE PRECISION array, dimension (N)
    If JOB = 'E', RWORK is not referenced.

INFO    (output) INTEGER
    = 0: successful exit
    < 0: if INFO = -i, the i-th argument had an illegal value

FURTHER DETAILS
The reciprocal of the condition number of an eigenvalue lambda is defined as
        S(lambda) = |v'*u| / (norm(u)*norm(v))
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.
An approximate error bound for a computed eigenvalue W(i) is given by
                    EPS * norm(T) / S(i)
where EPS is the machine precision.
The reciprocal of the condition number of the right eigenvector u corresponding to lambda is defined as follows. Suppose
            T = ( lambda c )
                ( 0 T22 )
Then the reciprocal condition number is
        SEP( lambda, T22 ) = sigma-min( T22 - lambda*I )
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)).
An approximate error bound for a computed right eigenvector VR(i) is given by
                    EPS * norm(T) / SEP(i)