SB03QX

Estimating a forward error bound for the solution of a continuous-time Lyapunov equation

[Specification] [Arguments] [Method] [References] [Comments] [Example]

Purpose

  To estimate a forward error bound for the solution X of a real
  continuous-time Lyapunov matrix equation,

         op(A)'*X + X*op(A) = C,

  where op(A) = A or A' (A**T) and C is symmetric (C = C**T). The
  matrix A, the right hand side C, and the solution X are N-by-N.
  An absolute residual matrix, which takes into account the rounding
  errors in forming it, is given in the array R.

Specification
      SUBROUTINE SB03QX( TRANA, UPLO, LYAPUN, N, XANORM, T, LDT, U, LDU,
     $                   R, LDR, FERR, IWORK, DWORK, LDWORK, INFO )
C     .. Scalar Arguments ..
      CHARACTER          LYAPUN, TRANA, UPLO
      INTEGER            INFO, LDR, LDT, LDU, LDWORK, N
      DOUBLE PRECISION   FERR, XANORM
C     .. Array Arguments ..
      INTEGER            IWORK( * )
      DOUBLE PRECISION   DWORK( * ), R( LDR, * ), T( LDT, * ),
     $                   U( LDU, * )

Arguments

Mode Parameters

  TRANA   CHARACTER*1
          Specifies the form of op(A) to be used, as follows:
          = 'N':  op(A) = A    (No transpose);
          = 'T':  op(A) = A**T (Transpose);
          = 'C':  op(A) = A**T (Conjugate transpose = Transpose).

  UPLO    CHARACTER*1
          Specifies which part of the symmetric matrix R is to be
          used, as follows:
          = 'U':  Upper triangular part;
          = 'L':  Lower triangular part.

  LYAPUN  CHARACTER*1
          Specifies whether or not the original Lyapunov equations
          should be solved, as follows:
          = 'O':  Solve the original Lyapunov equations, updating
                  the right-hand sides and solutions with the
                  matrix U, e.g., X <-- U'*X*U;
          = 'R':  Solve reduced Lyapunov equations only, without
                  updating the right-hand sides and solutions.

Input/Output Parameters
  N       (input) INTEGER
          The order of the matrices A and R.  N >= 0.

  XANORM  (input) DOUBLE PRECISION
          The absolute (maximal) norm of the symmetric solution
          matrix X of the Lyapunov equation.  XANORM >= 0.

  T       (input) DOUBLE PRECISION array, dimension (LDT,N)
          The leading N-by-N upper Hessenberg part of this array
          must contain the upper quasi-triangular matrix T in Schur
          canonical form from a Schur factorization of A.

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

  U       (input) DOUBLE PRECISION array, dimension (LDU,N)
          The leading N-by-N part of this array must contain the
          orthogonal matrix U from a real Schur factorization of A.
          If LYAPUN = 'R', the array U is not referenced.

  LDU     INTEGER
          The leading dimension of array U.
          LDU >= 1,        if LYAPUN = 'R';
          LDU >= MAX(1,N), if LYAPUN = 'O'.

  R       (input/output) DOUBLE PRECISION array, dimension (LDR,N)
          On entry, if UPLO = 'U', the leading N-by-N upper
          triangular part of this array must contain the upper
          triangular part of the absolute residual matrix R, with
          bounds on rounding errors added.
          On entry, if UPLO = 'L', the leading N-by-N lower
          triangular part of this array must contain the lower
          triangular part of the absolute residual matrix R, with
          bounds on rounding errors added.
          On exit, the leading N-by-N part of this array contains
          the symmetric absolute residual matrix R (with bounds on
          rounding errors added), fully stored.

  LDR     INTEGER
          The leading dimension of array R.  LDR >= MAX(1,N).

  FERR    (output) DOUBLE PRECISION
          An estimated forward error bound for the solution X.
          If XTRUE is the true solution, FERR bounds the magnitude
          of the largest entry in (X - XTRUE) divided by the
          magnitude of the largest entry in X.
          If N = 0 or XANORM = 0, FERR is set to 0, without any
          calculations.

Workspace
  IWORK   INTEGER array, dimension (N*N)

  DWORK   DOUBLE PRECISION array, dimension (LDWORK)

  LDWORK  INTEGER
          The length of the array DWORK.  LDWORK >= 2*N*N.

Error Indicator
  INFO    INTEGER
          = 0:  successful exit;
          < 0:  if INFO = -i, the i-th argument had an illegal
                value;
          = N+1:  if the matrices T and -T' have common or very
                close eigenvalues; perturbed values were used to
                solve Lyapunov equations (but the matrix T is
                unchanged).

Method
  The forward error bound is estimated using a practical error bound
  similar to the one proposed in [1], based on the 1-norm estimator
  in [2].

References
  [1] Higham, N.J.
      Perturbation theory and backward error for AX-XB=C.
      BIT, vol. 33, pp. 124-136, 1993.

  [2] Higham, N.J.
      FORTRAN codes for estimating the one-norm of a real or
      complex matrix, with applications to condition estimation.
      ACM Trans. Math. Softw., 14, pp. 381-396, 1988.

Numerical Aspects
                            3
  The algorithm requires 0(N ) operations.

Further Comments
  The option LYAPUN = 'R' may occasionally produce slightly worse
  or better estimates, and it is much faster than the option 'O'.
  The routine can be also used as a final step in estimating a
  forward error bound for the solution of a continuous-time
  algebraic matrix Riccati equation.

Example

Program Text

  None
Program Data
  None
Program Results
  None

Return to Supporting Routines index