dggevx (l) - Linux Manuals

dggevx: computes for a pair of N-by-N real nonsymmetric matrices (A,B)

NAME

DGGEVX - computes for a pair of N-by-N real nonsymmetric matrices (A,B)

SYNOPSIS

SUBROUTINE DGGEVX(

BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, B, LDB, ALPHAR, ALPHAI, BETA, VL, LDVL, VR, LDVR, ILO, IHI, LSCALE, RSCALE, ABNRM, BBNRM, RCONDE, RCONDV, WORK, LWORK, IWORK, BWORK, INFO )

    

CHARACTER BALANC, JOBVL, JOBVR, SENSE

    

INTEGER IHI, ILO, INFO, LDA, LDB, LDVL, LDVR, LWORK, N

    

DOUBLE PRECISION ABNRM, BBNRM

    

LOGICAL BWORK( * )

    

INTEGER IWORK( * )

    

DOUBLE PRECISION A( LDA, * ), ALPHAI( * ), ALPHAR( * ), B( LDB, * ), BETA( * ), LSCALE( * ), RCONDE( * ), RCONDV( * ), RSCALE( * ), VL( LDVL, * ), VR( LDVR, * ), WORK( * )

PURPOSE

DGGEVX computes for a pair of N-by-N real nonsymmetric matrices (A,B) the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors.
Optionally also, it computes a balancing transformation to improve the conditioning of the eigenvalues and eigenvectors (ILO, IHI, LSCALE, RSCALE, ABNRM, and BBNRM), reciprocal condition numbers for the eigenvalues (RCONDE), and reciprocal condition numbers for the right eigenvectors (RCONDV).
A generalized eigenvalue for a pair of matrices (A,B) is a scalar lambda or a ratio alpha/beta = lambda, such that A - lambda*B is singular. It is usually represented as the pair (alpha,beta), as there is a reasonable interpretation for beta=0, and even for both being zero.
The right eigenvector v(j) corresponding to the eigenvalue lambda(j) of (A,B) satisfies

           A * v(j) = lambda(j) * B * v(j) .
The left eigenvector u(j) corresponding to the eigenvalue lambda(j) of (A,B) satisfies

           u(j)**H * A  = lambda(j) * u(j)**H * B.
where u(j)**H is the conjugate-transpose of u(j).

ARGUMENTS

BALANC (input) CHARACTER*1

Specifies the balance option to be performed. = aqNaq: do not diagonally scale or permute;
= aqPaq: permute only;
= aqSaq: scale only;
= aqBaq: both permute and scale. Computed reciprocal condition numbers will be for the matrices after permuting and/or balancing. Permuting does not change condition numbers (in exact arithmetic), but balancing does.

JOBVL (input) CHARACTER*1

= aqNaq: do not compute the left generalized eigenvectors;
= aqVaq: compute the left generalized eigenvectors.

JOBVR (input) CHARACTER*1

= aqNaq: do not compute the right generalized eigenvectors;
= aqVaq: compute the right generalized eigenvectors.

SENSE (input) CHARACTER*1

Determines which reciprocal condition numbers are computed. = aqNaq: none are computed;
= aqEaq: computed for eigenvalues only;
= aqVaq: computed for eigenvectors only;
= aqBaq: computed for eigenvalues and eigenvectors.

N (input) INTEGER

The order of the matrices A, B, VL, and VR. N >= 0.

A (input/output) DOUBLE PRECISION array, dimension (LDA, N)

On entry, the matrix A in the pair (A,B). On exit, A has been overwritten. If JOBVL=aqVaq or JOBVR=aqVaq or both, then A contains the first part of the real Schur form of the "balanced" versions of the input A and B.

LDA (input) INTEGER

The leading dimension of A. LDA >= max(1,N).

B (input/output) DOUBLE PRECISION array, dimension (LDB, N)

On entry, the matrix B in the pair (A,B). On exit, B has been overwritten. If JOBVL=aqVaq or JOBVR=aqVaq or both, then B contains the second part of the real Schur form of the "balanced" versions of the input A and B.

LDB (input) INTEGER

The leading dimension of B. LDB >= max(1,N).

ALPHAR (output) DOUBLE PRECISION array, dimension (N)

ALPHAI (output) DOUBLE PRECISION array, dimension (N) BETA (output) DOUBLE PRECISION array, dimension (N) On exit, (ALPHAR(j) + ALPHAI(j)*i)/BETA(j), j=1,...,N, will be the generalized eigenvalues. If ALPHAI(j) is zero, then the j-th eigenvalue is real; if positive, then the j-th and (j+1)-st eigenvalues are a complex conjugate pair, with ALPHAI(j+1) negative. Note: the quotients ALPHAR(j)/BETA(j) and ALPHAI(j)/BETA(j) may easily over- or underflow, and BETA(j) may even be zero. Thus, the user should avoid naively computing the ratio ALPHA/BETA. However, ALPHAR and ALPHAI will be always less than and usually comparable with norm(A) in magnitude, and BETA always less than and usually comparable with norm(B).

VL (output) DOUBLE PRECISION array, dimension (LDVL,N)

If JOBVL = aqVaq, the left eigenvectors u(j) are stored one after another in the columns of VL, in the same order as their eigenvalues. If the j-th eigenvalue is real, then u(j) = VL(:,j), the j-th column of VL. If the j-th and (j+1)-th eigenvalues form a complex conjugate pair, then u(j) = VL(:,j)+i*VL(:,j+1) and u(j+1) = VL(:,j)-i*VL(:,j+1). Each eigenvector will be scaled so the largest component have abs(real part) + abs(imag. part) = 1. Not referenced if JOBVL = aqNaq.

LDVL (input) INTEGER

The leading dimension of the matrix VL. LDVL >= 1, and if JOBVL = aqVaq, LDVL >= N.

VR (output) DOUBLE PRECISION array, dimension (LDVR,N)

If JOBVR = aqVaq, the right eigenvectors v(j) are stored one after another in the columns of VR, in the same order as their eigenvalues. If the j-th eigenvalue is real, then v(j) = VR(:,j), the j-th column of VR. If the j-th and (j+1)-th eigenvalues form a complex conjugate pair, then v(j) = VR(:,j)+i*VR(:,j+1) and v(j+1) = VR(:,j)-i*VR(:,j+1). Each eigenvector will be scaled so the largest component have abs(real part) + abs(imag. part) = 1. Not referenced if JOBVR = aqNaq.

LDVR (input) INTEGER

The leading dimension of the matrix VR. LDVR >= 1, and if JOBVR = aqVaq, LDVR >= N.

ILO (output) INTEGER

IHI (output) INTEGER ILO and IHI are integer values such that on exit A(i,j) = 0 and B(i,j) = 0 if i > j and j = 1,...,ILO-1 or i = IHI+1,...,N. If BALANC = aqNaq or aqSaq, ILO = 1 and IHI = N.

LSCALE (output) DOUBLE PRECISION array, dimension (N)

Details of the permutations and scaling factors applied to the left side of A and B. If PL(j) is the index of the row interchanged with row j, and DL(j) is the scaling factor applied to row j, then LSCALE(j) = PL(j) for j = 1,...,ILO-1 = DL(j) for j = ILO,...,IHI = PL(j) for j = IHI+1,...,N. The order in which the interchanges are made is N to IHI+1, then 1 to ILO-1.

RSCALE (output) DOUBLE PRECISION array, dimension (N)

Details of the permutations and scaling factors applied to the right side of A and B. If PR(j) is the index of the column interchanged with column j, and DR(j) is the scaling factor applied to column j, then RSCALE(j) = PR(j) for j = 1,...,ILO-1 = DR(j) for j = ILO,...,IHI = PR(j) for j = IHI+1,...,N The order in which the interchanges are made is N to IHI+1, then 1 to ILO-1.

ABNRM (output) DOUBLE PRECISION

The one-norm of the balanced matrix A.

BBNRM (output) DOUBLE PRECISION

The one-norm of the balanced matrix B.

RCONDE (output) DOUBLE PRECISION array, dimension (N)

If SENSE = aqEaq or aqBaq, the reciprocal condition numbers of the eigenvalues, stored in consecutive elements of the array. For a complex conjugate pair of eigenvalues two consecutive elements of RCONDE are set to the same value. Thus RCONDE(j), RCONDV(j), and the j-th columns of VL and VR all correspond to the j-th eigenpair. If SENSE = aqN or aqVaq, RCONDE is not referenced.

RCONDV (output) DOUBLE PRECISION array, dimension (N)

If SENSE = aqVaq or aqBaq, the estimated reciprocal condition numbers of the eigenvectors, stored in consecutive elements of the array. For a complex eigenvector two consecutive elements of RCONDV are set to the same value. If the eigenvalues cannot be reordered to compute RCONDV(j), RCONDV(j) is set to 0; this can only occur when the true value would be very small anyway. If SENSE = aqNaq or aqEaq, RCONDV is not referenced.

WORK (workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LWORK))

On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

LWORK (input) INTEGER

The dimension of the array WORK. LWORK >= max(1,2*N). If BALANC = aqSaq or aqBaq, or JOBVL = aqVaq, or JOBVR = aqVaq, LWORK >= max(1,6*N). If SENSE = aqEaq or aqBaq, LWORK >= max(1,10*N). If SENSE = aqVaq or aqBaq, LWORK >= 2*N*N+8*N+16. 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.

IWORK (workspace) INTEGER array, dimension (N+6)

If SENSE = aqEaq, IWORK is not referenced.

BWORK (workspace) LOGICAL array, dimension (N)

If SENSE = aqNaq, BWORK is not referenced.

INFO (output) INTEGER

= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value.
= 1,...,N: The QZ iteration failed. No eigenvectors have been calculated, but ALPHAR(j), ALPHAI(j), and BETA(j) should be correct for j=INFO+1,...,N. > N: =N+1: other than QZ iteration failed in DHGEQZ.
=N+2: error return from DTGEVC.

FURTHER DETAILS

Balancing a matrix pair (A,B) includes, first, permuting rows and columns to isolate eigenvalues, second, applying diagonal similarity transformation to the rows and columns to make the rows and columns as close in norm as possible. The computed reciprocal condition numbers correspond to the balanced matrix. Permuting rows and columns will not change the condition numbers (in exact arithmetic) but diagonal scaling will. For further explanation of balancing, see section 4.11.1.2 of LAPACK Usersaq Guide.
An approximate error bound on the chordal distance between the i-th computed generalized eigenvalue w and the corresponding exact eigenvalue lambda is

  chord(w, lambda) <= EPS * norm(ABNRM, BBNRM) / RCONDE(I) An approximate error bound for the angle between the i-th computed eigenvector VL(i) or VR(i) is given by

  EPS * norm(ABNRM, BBNRM) / DIF(i).
For further explanation of the reciprocal condition numbers RCONDE and RCONDV, see section 4.11 of LAPACK Useraqs Guide.