hide long namesshow long names
hide short namesshow short names
Integer type:  int32  int64  nag_int  show int32  show int32  show int64  show int64  show nag_int  show nag_int

PDF version (NAG web site, 64-bit version, 64-bit version)
Chapter Contents
Chapter Introduction
NAG Toolbox

NAG Toolbox: nag_lapack_zhbevx (f08hp)

 Contents

    1  Purpose
    2  Syntax
    7  Accuracy
    9  Example

Purpose

nag_lapack_zhbevx (f08hp) computes selected eigenvalues and, optionally, eigenvectors of a complex n by n Hermitian band matrix A of bandwidth 2kd+1 . Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues.

Syntax

[ab, q, m, w, z, jfail, info] = f08hp(jobz, range, uplo, kd, ab, vl, vu, il, iu, abstol, 'n', n)
[ab, q, m, w, z, jfail, info] = nag_lapack_zhbevx(jobz, range, uplo, kd, ab, vl, vu, il, iu, abstol, 'n', n)

Description

The Hermitian band matrix A is first reduced to real tridiagonal form, using unitary similarity transformations. The required eigenvalues and eigenvectors are then computed from the tridiagonal matrix; the method used depends upon whether all, or selected, eigenvalues and eigenvectors are required.

References

Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999) LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia http://www.netlib.org/lapack/lug
Demmel J W and Kahan W (1990) Accurate singular values of bidiagonal matrices SIAM J. Sci. Statist. Comput. 11 873–912
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

Parameters

Compulsory Input Parameters

1:     jobz – string (length ≥ 1)
Indicates whether eigenvectors are computed.
jobz='N'
Only eigenvalues are computed.
jobz='V'
Eigenvalues and eigenvectors are computed.
Constraint: jobz='N' or 'V'.
2:     range – string (length ≥ 1)
If range='A', all eigenvalues will be found.
If range='V', all eigenvalues in the half-open interval vl,vu will be found.
If range='I', the ilth to iuth eigenvalues will be found.
Constraint: range='A', 'V' or 'I'.
3:     uplo – string (length ≥ 1)
If uplo='U', the upper triangular part of A is stored.
If uplo='L', the lower triangular part of A is stored.
Constraint: uplo='U' or 'L'.
4:     kd int64int32nag_int scalar
If uplo='U', the number of superdiagonals, kd, of the matrix A.
If uplo='L', the number of subdiagonals, kd, of the matrix A.
Constraint: kd0.
5:     abldab: – complex array
The first dimension of the array ab must be at least kd+1.
The second dimension of the array ab must be at least max1,n.
The upper or lower triangle of the n by n Hermitian band matrix A.
The matrix is stored in rows 1 to kd+1, more precisely,
  • if uplo='U', the elements of the upper triangle of A within the band must be stored with element Aij in abkd+1+i-jj​ for ​max1,j-kdij;
  • if uplo='L', the elements of the lower triangle of A within the band must be stored with element Aij in ab1+i-jj​ for ​jiminn,j+kd.
6:     vl – double scalar
7:     vu – double scalar
If range='V', the lower and upper bounds of the interval to be searched for eigenvalues.
If range='A' or 'I', vl and vu are not referenced.
Constraint: if range='V', vl<vu.
8:     il int64int32nag_int scalar
9:     iu int64int32nag_int scalar
If range='I', the indices (in ascending order) of the smallest and largest eigenvalues to be returned.
If range='A' or 'V', il and iu are not referenced.
Constraints:
  • if range='I' and n=0, il=1 and iu=0;
  • if range='I' and n>0, 1 il iu n .
10:   abstol – double scalar
The absolute error tolerance for the eigenvalues. An approximate eigenvalue is accepted as converged when it is determined to lie in an interval a,b  of width less than or equal to
abstol+ε maxa,b ,  
where ε  is the machine precision. If abstol is less than or equal to zero, then ε T1  will be used in its place, where T is the tridiagonal matrix obtained by reducing A to tridiagonal form. Eigenvalues will be computed most accurately when abstol is set to twice the underflow threshold 2 × x02am   , not zero. If this function returns with info>0, indicating that some eigenvectors did not converge, try setting abstol to 2 × x02am   . See Demmel and Kahan (1990).

Optional Input Parameters

1:     n int64int32nag_int scalar
Default: the second dimension of the array ab.
n, the order of the matrix A.
Constraint: n0.

Output Parameters

1:     abldab: – complex array
The first dimension of the array ab will be kd+1.
The second dimension of the array ab will be max1,n.
ab stores values generated during the reduction to tridiagonal form.
The first superdiagonal or subdiagonal and the diagonal of the tridiagonal matrix T are returned in ab using the same storage format as described above.
2:     qldq: – complex array
The first dimension, ldq, of the array q will be
  • if jobz='V', ldq= max1,n ;
  • otherwise ldq=1.
The second dimension of the array q will be max1,n if jobz='V' and 1 otherwise.
If jobz='V', the n by n unitary matrix used in the reduction to tridiagonal form.
If jobz='N', q is not referenced.
3:     m int64int32nag_int scalar
The total number of eigenvalues found. 0mn.
If range='A', m=n.
If range='I', m=iu-il+1.
4:     wn – double array
The first m elements contain the selected eigenvalues in ascending order.
5:     zldz: – complex array
The first dimension, ldz, of the array z will be
  • if jobz='V', ldz= max1,n ;
  • otherwise ldz=1.
The second dimension of the array z will be max1,m if jobz='V' and 1 otherwise.
If jobz='V', then
  • if info=0, the first m columns of Z contain the orthonormal eigenvectors of the matrix A corresponding to the selected eigenvalues, with the ith column of Z holding the eigenvector associated with wi;
  • if an eigenvector fails to converge (info>0), then that column of Z contains the latest approximation to the eigenvector, and the index of the eigenvector is returned in jfail.
If jobz='N', z is not referenced.
6:     jfail: int64int32nag_int array
The dimension of the array jfail will be max1,n
If jobz='V', then
  • if info=0, the first m elements of jfail are zero;
  • if info>0, jfail contains the indices of the eigenvectors that failed to converge.
If jobz='N', jfail is not referenced.
7:     info int64int32nag_int scalar
info=0 unless the function detects an error (see Error Indicators and Warnings).

Error Indicators and Warnings

Cases prefixed with W are classified as warnings and do not generate an error of type NAG:error_n. See nag_issue_warnings.

   info=-i
If info=-i, parameter i had an illegal value on entry. The parameters are numbered as follows:
1: jobz, 2: range, 3: uplo, 4: n, 5: kd, 6: ab, 7: ldab, 8: q, 9: ldq, 10: vl, 11: vu, 12: il, 13: iu, 14: abstol, 15: m, 16: w, 17: z, 18: ldz, 19: work, 20: rwork, 21: iwork, 22: jfail, 23: 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.
W  info>0
If info=i, then i eigenvectors failed to converge. Their indices are stored in array jfail. Please see abstol.

Accuracy

The computed eigenvalues and eigenvectors are exact for a nearby matrix A+E, where
E2 = Oε A2 ,  
and ε is the machine precision. See Section 4.7 of Anderson et al. (1999) for further details.

Further Comments

The total number of floating-point operations is proportional to kd n2  if jobz='N', and is proportional to n3  if jobz='V' and range='A', otherwise the number of floating-point operations will depend upon the number of computed eigenvectors.
The real analogue of this function is nag_lapack_dsbevx (f08hb).

Example

This example finds the eigenvalues in the half-open interval -2,2 , and the corresponding eigenvectors, of the Hermitian band matrix
A = 1 2-i 3-i 0 0 2+i 2 3-2i 4-2i 0 3+i 3+2i 3 4-3i 5-3i 0 4+2i 4+3i 4 5-4i 0 0 5+3i 5+4i 5 .  
function f08hp_example


fprintf('f08hp example results\n\n');

% Hermitian band matrix A, stored on symmetric banded format
uplo = 'U';
kd   = int64(2);
ab = [0,       0 + 0i,  3 - 1i,  4 - 2i,  5 - 3i;
      0 + 0i,  2 - 1i,  3 - 2i,  4 - 3i,  5 - 4i;
      1 + 0i,  2 + 0i,  3 + 0i,  4 + 0i,  5 + 0i];

% Eigenvalues in range [-2,2] and coresponding eigenvectors
jobz = 'Vectors';
range = 'Values in range';
vl = -2;
vu = 2;
il = int64(0);
iu = int64(0);
abstol = 0;
[~, q, m, w, z, jfail, info] = ...
f08hp( ...
       jobz, range, uplo, kd, ab, vl, vu, il, iu, abstol);

% Normalize: largest elements are real
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('Eigenvalues in range [-2,2]');
disp(w(1:m)');
[ifail] = x04da( ...
                 'General', ' ', z, 'Corresponding eigenvectors');


f08hp example results

Eigenvalues in range [-2,2]
   -1.4094    1.4421

 Corresponding eigenvectors
          1       2
 1  -0.4188 -0.2560
     0.4797  0.3721

 2  -0.0122  0.5344
    -0.3529  0.0000

 3   0.4621 -0.4245
     0.0000  0.0915

 4  -0.1642  0.4964
     0.3146 -0.1546

 5  -0.0360 -0.1979
    -0.3593 -0.1114

PDF version (NAG web site, 64-bit version, 64-bit version)
Chapter Contents
Chapter Introduction
NAG Toolbox

© The Numerical Algorithms Group Ltd, Oxford, UK. 2009–2015