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NAG Toolbox: nag_lapack_zunmhr (f08nu)
Purpose
nag_lapack_zunmhr (f08nu) multiplies an arbitrary complex matrix
by the complex unitary matrix
which was determined by
nag_lapack_zgehrd (f08ns) when reducing a complex general matrix to Hessenberg form.
Syntax
[
c,
info] = f08nu(
side,
trans,
ilo,
ihi,
a,
tau,
c, 'm',
m, 'n',
n)
[
c,
info] = nag_lapack_zunmhr(
side,
trans,
ilo,
ihi,
a,
tau,
c, 'm',
m, 'n',
n)
Description
nag_lapack_zunmhr (f08nu) is intended to be used following a call to
nag_lapack_zgehrd (f08ns), which reduces a complex general matrix
to upper Hessenberg form
by a unitary similarity transformation:
.
nag_lapack_zgehrd (f08ns) represents the matrix
as a product of
elementary reflectors. Here
and
are values determined by
nag_lapack_zgebal (f08nv) when balancing the matrix; if the matrix has not been balanced,
and
.
This function may be used to form one of the matrix products
overwriting the result on
(which may be any complex rectangular matrix).
A common application of this function is to transform a matrix of eigenvectors of to the matrix of eigenvectors of .
References
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
Parameters
Compulsory Input Parameters
- 1:
– string (length ≥ 1)
-
Indicates how
or
is to be applied to
.
- or is applied to from the left.
- or is applied to from the right.
Constraint:
or .
- 2:
– string (length ≥ 1)
-
Indicates whether
or
is to be applied to
.
- is applied to .
- is applied to .
Constraint:
or .
- 3:
– int64int32nag_int scalar
- 4:
– int64int32nag_int scalar
-
These
must be the same arguments
ilo and
ihi, respectively, as supplied to
nag_lapack_zgehrd (f08ns).
Constraints:
- if and , ;
- if and , and ;
- if and , ;
- if and , and .
- 5:
– complex array
-
The first dimension,
, of the array
a must satisfy
- if , ;
- if , .
The second dimension of the array
a must be at least
if
and at least
if
.
Details of the vectors which define the elementary reflectors, as returned by
nag_lapack_zgehrd (f08ns).
- 6:
– complex array
-
The dimension of the array
tau
must be at least
if
and at least
if
Further details of the elementary reflectors, as returned by
nag_lapack_zgehrd (f08ns).
- 7:
– complex array
-
The first dimension of the array
c must be at least
.
The second dimension of the array
c must be at least
.
The by matrix .
Optional Input Parameters
- 1:
– int64int32nag_int scalar
-
Default:
the first dimension of the array
c.
, the number of rows of the matrix ; is also the order of if .
Constraint:
.
- 2:
– int64int32nag_int scalar
-
Default:
the second dimension of the array
c.
, the number of columns of the matrix ; is also the order of if .
Constraint:
.
Output Parameters
- 1:
– complex array
-
The first dimension of the array
c will be
.
The second dimension of the array
c will be
.
c stores
or
or
or
as specified by
side and
trans.
- 2:
– int64int32nag_int scalar
unless the function detects an error (see
Error Indicators and Warnings).
Error Indicators and Warnings
-
If , parameter had an illegal value on entry. The parameters are numbered as follows:
1:
side, 2:
trans, 3:
m, 4:
n, 5:
ilo, 6:
ihi, 7:
a, 8:
lda, 9:
tau, 10:
c, 11:
ldc, 12:
work, 13:
lwork, 14:
info.
It is possible that
info refers to a parameter that is omitted from the MATLAB interface. This usually indicates that an error in one of the other input parameters has caused an incorrect value to be inferred.
Accuracy
The computed result differs from the exact result by a matrix
such that
where
is the
machine precision.
Further Comments
The total number of real floating-point operations is approximately if and if , where .
The real analogue of this function is
nag_lapack_dormhr (f08ng).
Example
This example computes all the eigenvalues of the matrix
, where
and those eigenvectors which correspond to eigenvalues
such that
. Here
is general and must first be reduced to upper Hessenberg form
by
nag_lapack_zgehrd (f08ns). The program then calls
nag_lapack_zhseqr (f08ps) to compute the eigenvalues, and
nag_lapack_zhsein (f08px) to compute the required eigenvectors of
by inverse iteration. Finally
nag_lapack_zunmhr (f08nu) is called to transform the eigenvectors of
back to eigenvectors of the original matrix
.
Open in the MATLAB editor:
f08nu_example
function f08nu_example
fprintf('f08nu example results\n\n');
n = int64(4);
ilo = int64(1);
ihi = n;
a = [ -3.97 - 5.04i, -4.11 + 3.70i, -0.34 + 1.01i, 1.29 - 0.86i;
0.34 - 1.50i, 1.52 - 0.43i, 1.88 - 5.38i, 3.36 + 0.65i;
3.31 - 3.85i, 2.50 + 3.45i, 0.88 - 1.08i, 0.64 - 1.48i;
-1.10 + 0.82i, 1.81 - 1.59i, 3.25 + 1.33i, 1.57 - 3.44i];
[H, tau, info] = f08ns(ilo, ihi, a);
[Q, info] = f08nt(ilo, ihi, H, tau);
job = 'Schur form';
compz = 'Vectors';
[~, w, ~, info] = f08ps( ...
job, compz, ilo, ihi, H, Q);
disp('Eigenvalues of A');
disp(w);
select = (real(w) < 0);
job = 'Right';
eigsrc = 'QR';
initv = 'No initial vectors';
vl = [];
vr = complex(zeros(n,n));
[~, ~, VR, m, ifaill, ifailr, info] = ...
f08px(...
job, eigsrc, initv, select, H, w, vl, vr, n);
side = 'Left';
trans = 'No transpose';
[Z, info] = f08nu(side, trans, ilo, ihi, H, tau, VR);
for i = 1:m
[~,k] = max(abs(real(Z(:,i)))+abs(imag(Z(:,i))));
Z(:,i) = Z(:,i)*conj(Z(k,i))/abs(Z(k,i));
end
disp('Eigenvectors corresponding to eigenvalues with negative real part');
disp(Z);
f08nu example results
Eigenvalues of A
-6.0004 - 6.9998i
-5.0000 + 2.0060i
7.9982 - 0.9964i
3.0023 - 3.9998i
Eigenvectors corresponding to eigenvalues with negative real part
0.8079 + 0.0000i -0.4076 + 0.1827i
-0.0169 + 0.2900i -0.3732 + 0.4776i
0.0836 + 0.2975i 0.6457 + 0.0000i
-0.0536 - 0.2776i -0.0906 - 0.3463i
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