NAG Library Routine Document
F01EMF
1 Purpose
F01EMF computes the matrix function, , of a real by matrix , using analytical derivatives of you have supplied.
2 Specification
INTEGER |
N, LDA, IUSER(*), IFLAG, IFAIL |
REAL (KIND=nag_wp) |
A(LDA,*), RUSER(*), IMNORM |
EXTERNAL |
F |
|
3 Description
is computed using the Schur–Parlett algorithm described in
Higham (2008) and
Davies and Higham (2003).
The scalar function
, and the derivatives of
, are returned by the subroutine
F which, given an integer
, should evaluate
at a number of (generally complex) points
, for
. For any
on the real line,
must also be real. F01EMF is therefore appropriate for functions that can be evaluated on the complex plane and whose derivatives, of arbitrary order, can also be evaluated on the complex plane.
4 References
Davies P I and Higham N J (2003) A Schur–Parlett algorithm for computing matrix functions. SIAM J. Matrix Anal. Appl. 25(2) 464–485
Higham N J (2008) Functions of Matrices: Theory and Computation SIAM, Philadelphia, PA, USA
5 Parameters
- 1: N – INTEGERInput
On entry: , the order of the matrix .
Constraint:
.
- 2: A(LDA,) – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
A
must be at least
.
On entry: the by matrix .
On exit: the by matrix, .
- 3: LDA – INTEGERInput
On entry: the first dimension of the array
A as declared in the (sub)program from which F01EMF is called.
Constraint:
.
- 4: F – SUBROUTINE, supplied by the user.External Procedure
Given an integer
, the subroutine
F evaluates
at a number of points
.
The specification of
F is:
INTEGER |
M, IFLAG, NZ, IUSER(*) |
REAL (KIND=nag_wp) |
RUSER(*) |
COMPLEX (KIND=nag_wp) |
Z(NZ), FZ(NZ) |
|
- 1: M – INTEGERInput
On entry: the order,
, of the derivative required.
If , should be returned. For , should be returned.
- 2: IFLAG – INTEGERInput/Output
On entry:
IFLAG will be zero.
On exit:
IFLAG should either be unchanged from its entry value of zero, or may be set nonzero to indicate that there is a problem in evaluating the function
; for instance
may not be defined for a particular
. If
IFLAG is returned as nonzero then F01EMF will terminate the computation, with
.
- 3: NZ – INTEGERInput
On entry: , the number of function or derivative values required.
- 4: Z(NZ) – COMPLEX (KIND=nag_wp) arrayInput
On entry: the points at which the function is to be evaluated.
- 5: FZ(NZ) – COMPLEX (KIND=nag_wp) arrayOutput
On exit: the function or derivative values.
should return the value , for . If lies on the real line, then so must .
- 6: IUSER() – INTEGER arrayUser Workspace
- 7: RUSER() – REAL (KIND=nag_wp) arrayUser Workspace
-
F is called with the parameters
IUSER and
RUSER as supplied to F01EMF. You are free to use the arrays
IUSER and
RUSER to supply information to
F as an alternative to using COMMON global variables.
F must either be a module subprogram USEd by, or declared as EXTERNAL in, the (sub)program from which F01EMF is called. Parameters denoted as
Input must
not be changed by this procedure.
- 5: IUSER() – INTEGER arrayUser Workspace
- 6: RUSER() – REAL (KIND=nag_wp) arrayUser Workspace
-
IUSER and
RUSER are not used by F01EMF, but are passed directly to
F and may be used to pass information to this routine as an alternative to using COMMON global variables.
- 7: IFLAG – INTEGEROutput
On exit:
, unless
IFLAG has been set nonzero inside
F, in which case
IFLAG will be the value set and
IFAIL will be set to
.
- 8: IMNORM – REAL (KIND=nag_wp)Output
On exit: if
has complex eigenvalues, F01EMF will use complex arithmetic to compute
. The imaginary part is discarded at the end of the computation, because it will theoretically vanish.
IMNORM contains the
-norm of the imaginary part, which should be used to check that the routine has given a reliable answer.
If has real eigenvalues, F01EMF uses real arithmetic and .
- 9: IFAIL – INTEGERInput/Output
-
On entry:
IFAIL must be set to
,
. If you are unfamiliar with this parameter you should refer to
Section 3.3 in the Essential Introduction for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value
is recommended. If the output of error messages is undesirable, then the value
is recommended. Otherwise, if you are not familiar with this parameter, the recommended value is
.
When the value is used it is essential to test the value of IFAIL on exit.
On exit:
unless the routine detects an error or a warning has been flagged (see
Section 6).
6 Error Indicators and Warnings
If on entry
or
, explanatory error messages are output on the current error message unit (as defined by
X04AAF).
Errors or warnings detected by the routine:
-
A Taylor series failed to converge.
-
IFLAG has been set nonzero by the user.
-
There was an error whilst reordering the Schur form of .
Note: this failure should not occur and suggests that the routine has been called incorrectly.
-
The routine was unable to compute the Schur decomposition of .
Note: this failure should not occur and suggests that the routine has been called incorrectly.
-
An unexpected internal error occurred. Please contact
NAG.
-
Input argument number is invalid.
-
On entry, parameter
LDA is invalid.
Constraint:
.
-
Allocation of memory failed.
7 Accuracy
For a normal matrix
(for which
), the Schur decomposition is diagonal and the algorithm reduces to evaluating
at the eigenvalues of
and then constructing
using the Schur vectors. This should give a very accurate result. In general, however, no error bounds are available for the algorithm. See Section 9.4 of
Higham (2008) for further discussion of the Schur–Parlett algorithm.
If has real eigenvalues then up to of real allocatable memory may be required. If has complex eigenvalues then up to of
complex
allocatable memory may be required.
The cost of the Schur–Parlett algorithm depends on the spectrum of
, but is roughly between
and
floating point operations. There is an additional cost in evaluating
and its derivatives.
If the derivatives of
are not known analytically, then
F01ELF can be used to evaluate
using numerical differentiation.
If
is real symmetric then it is recommended that
F01EFF be used as it is more efficient and, in general, more accurate than F01EMF.
For any on the real line, must be real. must also be complex analytic on the spectrum of . These conditions ensure that is real for real .
For further information on matrix functions, see
Higham (2008).
If estimates of the condition number of the matrix function are required then
F01JCF should be used.
F01FMF can be used to find the matrix function
for a complex matrix
.
9 Example
This example finds the
where
9.1 Program Text
Program Text (f01emfe.f90)
9.2 Program Data
Program Data (f01emfe.d)
9.3 Program Results
Program Results (f01emfe.r)