NAG FL Interface
s17dcf (bessel_y_complex)
1
Purpose
s17dcf returns a sequence of values for the Bessel functions ${Y}_{\nu +n}\left(z\right)$ for complex $z$, nonnegative $\nu $ and $n=0,1,\dots ,N1$, with an option for exponential scaling.
2
Specification
Fortran Interface
Integer, Intent (In) 
:: 
n 
Integer, Intent (Inout) 
:: 
ifail 
Integer, Intent (Out) 
:: 
nz 
Real (Kind=nag_wp), Intent (In) 
:: 
fnu 
Complex (Kind=nag_wp), Intent (In) 
:: 
z 
Complex (Kind=nag_wp), Intent (Out) 
:: 
cy(n), cwrk(n) 
Character (1), Intent (In) 
:: 
scal 

C Header Interface
#include <nag.h>
void 
s17dcf_ (const double *fnu, const Complex *z, const Integer *n, const char *scal, Complex cy[], Integer *nz, Complex cwrk[], Integer *ifail, const Charlen length_scal) 

C++ Header Interface
#include <nag.h> extern "C" {
void 
s17dcf_ (const double &fnu, const Complex &z, const Integer &n, const char *scal, Complex cy[], Integer &nz, Complex cwrk[], Integer &ifail, const Charlen length_scal) 
}

The routine may be called by the names s17dcf or nagf_specfun_bessel_y_complex.
3
Description
s17dcf evaluates a sequence of values for the Bessel function ${Y}_{\nu}\left(z\right)$, where $z$ is complex, $\pi <\mathrm{arg}z\le \pi $, and $\nu $ is the real, nonnegative order. The $N$member sequence is generated for orders $\nu $, $\nu +1,\dots ,\nu +N1$. Optionally, the sequence is scaled by the factor ${e}^{\left\mathrm{Im}\left(z\right)\right}$.
Note: although the routine may not be called with
$\nu $ less than zero, for negative orders the formula
${Y}_{\nu}\left(z\right)={Y}_{\nu}\left(z\right)\mathrm{cos}\left(\pi \nu \right)+{J}_{\nu}\left(z\right)\mathrm{sin}\left(\pi \nu \right)$ may be used (for the Bessel function
${J}_{\nu}\left(z\right)$, see
s17def).
The routine is derived from the routine CBESY in
Amos (1986). It is based on the relation
${Y}_{\nu}\left(z\right)=\frac{{H}_{\nu}^{\left(1\right)}\left(z\right){H}_{\nu}^{\left(2\right)}\left(z\right)}{2i}$, where
${H}_{\nu}^{\left(1\right)}\left(z\right)$ and
${H}_{\nu}^{\left(2\right)}\left(z\right)$ are the Hankel functions of the first and second kinds respectively (see
s17dlf).
When $N$ is greater than $1$, extra values of ${Y}_{\nu}\left(z\right)$ are computed using recurrence relations.
For very large $\leftz\right$ or $\left(\nu +N1\right)$, argument reduction will cause total loss of accuracy, and so no computation is performed. For slightly smaller $\leftz\right$ or $\left(\nu +N1\right)$, the computation is performed but results are accurate to less than half of machine precision. If $\leftz\right$ is very small, near the machine underflow threshold, or $\left(\nu +N1\right)$ is too large, there is a risk of overflow and so no computation is performed. In all the above cases, a warning is given by the routine.
4
References
Amos D E (1986) Algorithm 644: A portable package for Bessel functions of a complex argument and nonnegative order ACM Trans. Math. Software 12 265–273
5
Arguments

1:
$\mathbf{fnu}$ – Real (Kind=nag_wp)
Input

On entry: $\nu $, the order of the first member of the sequence of functions.
Constraint:
${\mathbf{fnu}}\ge 0.0$.

2:
$\mathbf{z}$ – Complex (Kind=nag_wp)
Input

On entry: $z$, the argument of the functions.
Constraint:
${\mathbf{z}}\ne \left(0.0,0.0\right)$.

3:
$\mathbf{n}$ – Integer
Input

On entry: $N$, the number of members required in the sequence ${Y}_{\nu}\left(z\right),{Y}_{\nu +1}\left(z\right),\dots ,{Y}_{\nu +N1}\left(z\right)$.
Constraint:
${\mathbf{n}}\ge 1$.

4:
$\mathbf{scal}$ – Character(1)
Input

On entry: the scaling option.
 ${\mathbf{scal}}=\text{'U'}$
 The results are returned unscaled.
 ${\mathbf{scal}}=\text{'S'}$
 The results are returned scaled by the factor ${e}^{\left\mathrm{Im}\left(z\right)\right}$.
Constraint:
${\mathbf{scal}}=\text{'U'}$ or $\text{'S'}$.

5:
$\mathbf{cy}\left({\mathbf{n}}\right)$ – Complex (Kind=nag_wp) array
Output

On exit: the $N$ required function values: ${\mathbf{cy}}\left(i\right)$ contains
${Y}_{\nu +i1}\left(z\right)$, for $\mathit{i}=1,2,\dots ,N$.

6:
$\mathbf{nz}$ – Integer
Output

On exit: the number of components of
cy that are set to zero due to underflow. The positions of such components in the array
cy are arbitrary.

7:
$\mathbf{cwrk}\left({\mathbf{n}}\right)$ – Complex (Kind=nag_wp) array
Workspace


8:
$\mathbf{ifail}$ – Integer
Input/Output

On entry:
ifail must be set to
$0$,
$1\text{or}1$. If you are unfamiliar with this argument you should refer to
Section 4 in the Introduction to the NAG Library FL Interface for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value
$1\text{or}1$ is recommended. If the output of error messages is undesirable, then the value
$1$ is recommended. Otherwise, if you are not familiar with this argument, the recommended value is
$0$.
When the value $\mathbf{1}\text{or}\mathbf{1}$ is used it is essential to test the value of ifail on exit.
On exit:
${\mathbf{ifail}}={\mathbf{0}}$ unless the routine detects an error or a warning has been flagged (see
Section 6).
6
Error Indicators and Warnings
If on entry
${\mathbf{ifail}}=0$ or
$1$, explanatory error messages are output on the current error message unit (as defined by
x04aaf).
Errors or warnings detected by the routine:
 ${\mathbf{ifail}}=1$

On entry, ${\mathbf{fnu}}=\u2329\mathit{\text{value}}\u232a$.
Constraint: ${\mathbf{fnu}}\ge 0.0$.
On entry, ${\mathbf{n}}=\u2329\mathit{\text{value}}\u232a$.
Constraint: ${\mathbf{n}}\ge 1$.
On entry,
scal has an illegal value:
${\mathbf{scal}}=\u2329\mathit{\text{value}}\u232a$.
On entry, ${\mathbf{z}}=\left(0.0,0.0\right)$.
 ${\mathbf{ifail}}=2$

No computation because $\left{\mathbf{z}}\right=\u2329\mathit{\text{value}}\u232a<\u2329\mathit{\text{value}}\u232a$.
No computation because $\mathrm{Re}\left({\mathbf{z}}\right)=\u2329\mathit{\text{value}}\u232a>\u2329\mathit{\text{value}}\u232a$, ${\mathbf{scal}}=\text{'U'}$.
 ${\mathbf{ifail}}=3$

No computation because ${\mathbf{fnu}}+{\mathbf{n}}1=\u2329\mathit{\text{value}}\u232a$ is too large.
 ${\mathbf{ifail}}=4$

Results lack precision because $\left{\mathbf{z}}\right=\u2329\mathit{\text{value}}\u232a>\u2329\mathit{\text{value}}\u232a$.
Results lack precision because ${\mathbf{fnu}}+{\mathbf{n}}1=\u2329\mathit{\text{value}}\u232a>\u2329\mathit{\text{value}}\u232a$.
 ${\mathbf{ifail}}=5$

No computation because $\left{\mathbf{z}}\right=\u2329\mathit{\text{value}}\u232a>\u2329\mathit{\text{value}}\u232a$.
No computation because ${\mathbf{fnu}}+{\mathbf{n}}1=\u2329\mathit{\text{value}}\u232a>\u2329\mathit{\text{value}}\u232a$.
 ${\mathbf{ifail}}=6$

No computation – algorithm termination condition not met.
 ${\mathbf{ifail}}=99$
An unexpected error has been triggered by this routine. Please
contact
NAG.
See
Section 7 in the Introduction to the NAG Library FL Interface for further information.
 ${\mathbf{ifail}}=399$
Your licence key may have expired or may not have been installed correctly.
See
Section 8 in the Introduction to the NAG Library FL Interface for further information.
 ${\mathbf{ifail}}=999$
Dynamic memory allocation failed.
See
Section 9 in the Introduction to the NAG Library FL Interface for further information.
7
Accuracy
All constants in s17dcf are given to approximately $18$ digits of precision. Calling the number of digits of precision in the floatingpoint arithmetic being used $t$, then clearly the maximum number of correct digits in the results obtained is limited by $p=\mathrm{min}\phantom{\rule{0.125em}{0ex}}\left(t,18\right)$. Because of errors in argument reduction when computing elementary functions inside s17dcf, the actual number of correct digits is limited, in general, by $ps$, where $s\approx \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,,,\left{\mathrm{log}}_{10}\leftz\right\right,\left{\mathrm{log}}_{10}\nu \right\right)$ represents the number of digits lost due to the argument reduction. Thus the larger the values of $\leftz\right$ and $\nu $, the less the precision in the result. If s17dcf is called with ${\mathbf{n}}>1$, then computation of function values via recurrence may lead to some further small loss of accuracy.
If function values which should nominally be identical are computed by calls to s17dcf with different base values of $\nu $ and different ${\mathbf{n}}$, the computed values may not agree exactly. Empirical tests with modest values of $\nu $ and $z$ have shown that the discrepancy is limited to the least significant $3$ – $4$ digits of precision.
8
Parallelism and Performance
s17dcf is not threaded in any implementation.
The time taken for a call of s17dcf is approximately proportional to the value of ${\mathbf{n}}$, plus a constant. In general it is much cheaper to call s17dcf with ${\mathbf{n}}$ greater than $1$, rather than to make $N$ separate calls to s17dcf.
Paradoxically, for some values of $z$ and $\nu $, it is cheaper to call s17dcf with a larger value of ${\mathbf{n}}$ than is required, and then discard the extra function values returned. However, it is not possible to state the precise circumstances in which this is likely to occur. It is due to the fact that the base value used to start recurrence may be calculated in different regions for different ${\mathbf{n}}$, and the costs in each region may differ greatly.
Note that if the function required is
${Y}_{0}\left(x\right)$ or
${Y}_{1}\left(x\right)$, i.e.,
$\nu =0.0$ or
$1.0$, where
$x$ is real and positive, and only a single unscaled function value is required, then it may be much cheaper to call
s17acf or
s17adf respectively.
10
Example
This example prints a caption and then proceeds to read sets of data from the input data stream. The first datum is a value for the order
fnu, the second is a complex value for the argument,
z, and the third is a character value
to set the argument
scal. The program calls the routine with
${\mathbf{n}}=2$ to evaluate the function for orders
fnu and
${\mathbf{fnu}}+1$, and it prints the results. The process is repeated until the end of the input data stream is encountered.
10.1
Program Text
10.2
Program Data
10.3
Program Results