NAG Library Routine Document

s17adf  (bessel_y1_real)

 Contents

    1  Purpose
    7  Accuracy

1
Purpose

s17adf returns the value of the Bessel function Y1x, via the function name.

2
Specification

Fortran Interface
Function s17adf ( x, ifail)
Real (Kind=nag_wp):: s17adf
Integer, Intent (Inout):: ifail
Real (Kind=nag_wp), Intent (In):: x
C Header Interface
#include nagmk26.h
double  s17adf_ ( const double *x, Integer *ifail)

3
Description

s17adf evaluates an approximation to the Bessel function of the second kind Y1x.
Note:  Y1x is undefined for x0 and the routine will fail for such arguments.
The routine is based on four Chebyshev expansions:
For 0<x8,
Y1x=2π lnxx8r=0arTrt-2πx +x8r=0brTrt,   with ​t=2 x8 2-1.  
For x>8,
Y1x=2πx P1xsinx-3π4+Q1xcosx-3π4  
where P1x=r=0crTrt,
and Q1x= 8xr=0drTrt, with t=2 8x 2-1.
For x near zero, Y1x- 2πx . This approximation is used when x is sufficiently small for the result to be correct to machine precision. For extremely small x, there is a danger of overflow in calculating - 2πx  and for such arguments the routine will fail.
For very large x, it becomes impossible to provide results with any reasonable accuracy (see Section 7), hence the routine fails. Such arguments contain insufficient information to determine the phase of oscillation of Y1x; only the amplitude, 2πx , can be determined and this is returned on soft failure. The range for which this occurs is roughly related to machine precision; the routine will fail if x1/machine precision (see the Users' Note for your implementation for details).

4
References

Abramowitz M and Stegun I A (1972) Handbook of Mathematical Functions (3rd Edition) Dover Publications
Clenshaw C W (1962) Chebyshev Series for Mathematical Functions Mathematical tables HMSO

5
Arguments

1:     x – Real (Kind=nag_wp)Input
On entry: the argument x of the function.
Constraint: x>0.0.
2:     ifail – IntegerInput/Output
On entry: ifail must be set to 0, -1​ or ​1. If you are unfamiliar with this argument you should refer to Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1​ 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 -1​ or ​1 is used it is essential to test the value of ifail on exit.
On exit: ifail=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6
Error Indicators and Warnings

If on entry 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:
ifail=1
x is too large. On soft failure the routine returns the amplitude of the Y1 oscillation, 2πx .
ifail=2
x0.0, Y1 is undefined. On soft failure the routine returns zero.
ifail=3
x is too close to zero, there is a danger of overflow. On soft failure, the routine returns the value of Y1x at the smallest valid argument.
ifail=-99
An unexpected error has been triggered by this routine. Please contact NAG.
See Section 3.9 in How to Use the NAG Library and its Documentation for further information.
ifail=-399
Your licence key may have expired or may not have been installed correctly.
See Section 3.8 in How to Use the NAG Library and its Documentation for further information.
ifail=-999
Dynamic memory allocation failed.
See Section 3.7 in How to Use the NAG Library and its Documentation for further information.

7
Accuracy

Let δ be the relative error in the argument and E be the absolute error in the result. (Since Y1x oscillates about zero, absolute error and not relative error is significant, except for very small x.)
If δ is somewhat larger than the machine precision (e.g., if δ is due to data errors etc.), then E and δ are approximately related by:
E x Y0 x - Y1 x δ  
(provided E is also within machine bounds). Figure 1 displays the behaviour of the amplification factor xY0x-Y1x.
However, if δ is of the same order as machine precision, then rounding errors could make E slightly larger than the above relation predicts.
For very small x, absolute error becomes large, but the relative error in the result is of the same order as δ.
For very large x, the above relation ceases to apply. In this region, Y1 x 2 πx sinx- 3π4 . The amplitude 2 πx  can be calculated with reasonable accuracy for all x, but sinx- 3π4 cannot. If x- 3π4  is written as 2Nπ+θ where N is an integer and 0θ<2π, then sinx- 3π4 is determined by θ only. If x>δ-1, θ cannot be determined with any accuracy at all. Thus if x is greater than, or of the order of, the inverse of the machine precision, it is impossible to calculate the phase of Y1x and the routine must fail.
Figure 1
Figure 1

8
Parallelism and Performance

s17adf is not threaded in any implementation.

9
Further Comments

None.

10
Example

This example reads values of the argument x from a file, evaluates the function at each value of x and prints the results.

10.1
Program Text

Program Text (s17adfe.f90)

10.2
Program Data

Program Data (s17adfe.d)

10.3
Program Results

Program Results (s17adfe.r)

GnuplotProduced by GNUPLOT 4.6 patchlevel 3 −2 −1.5 −1 −0.5 0 0.5 0 5 10 15 20 25 30 35 40 45 50 Y1(x) x Example Program Returned Values for the Bessel Function Y1(x) gnuplot_plot_1
© The Numerical Algorithms Group Ltd, Oxford, UK. 2017