nag_bessel_i0 (s18aec) (PDF version)
s Chapter Contents
s Chapter Introduction
NAG Library Manual

NAG Library Function Document

nag_bessel_i0 (s18aec)

+ Contents

    1  Purpose
    7  Accuracy

1  Purpose

nag_bessel_i0 (s18aec) returns the value of the modified Bessel function I0x.

2  Specification

#include <nag.h>
#include <nags.h>
double  nag_bessel_i0 (double x, NagError *fail)

3  Description

nag_bessel_i0 (s18aec) evaluates an approximation to the modified Bessel function of the first kind I0x.
Note:  I0-x=I0x, so the approximation need only consider x0.
The function is based on three Chebyshev expansions:
For 0<x4,
I0x=exr=0arTrt,   where ​ t=2 x4 -1.
For 4<x12,
I0x=exr=0brTrt,   where ​ t=x-84.
For x>12,
I0x=exx r=0crTrt,   where ​ t=2 12x -1.
For small x, I0x1. This approximation is used when x is sufficiently small for the result to be correct to machine precision.
For large x, the function must fail because of the danger of overflow in calculating ex.

4  References

Abramowitz M and Stegun I A (1972) Handbook of Mathematical Functions (3rd Edition) Dover Publications

5  Arguments

1:     xdoubleInput
On entry: the argument x of the function.
2:     failNagError *Input/Output
The NAG error argument (see Section 3.6 in the Essential Introduction).

6  Error Indicators and Warnings

NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
NE_REAL_ARG_GT
On entry, x=value.
Constraint: xvalue.
x is too large and the function returns the approximate value of I0x at the nearest valid argument.

7  Accuracy

Let δ and ε be the relative errors in the argument and result respectively.
If δ is somewhat larger than the machine precision (i.e., if δ is due to data errors etc.), then ε and δ are approximately related by:
ε x I1x I0 x δ.
Figure 1 shows the behaviour of the error amplification factor
xI1x I0x .
Figure 1
Figure 1
However if δ is of the same order as machine precision, then rounding errors could make ε slightly larger than the above relation predicts.
For small x the amplification factor is approximately x22 , which implies strong attenuation of the error, but in general ε can never be less than the machine precision.
For large x, εxδ and we have strong amplification of errors. However the function must fail for quite moderate values of x, because I0x would overflow; hence in practice the loss of accuracy for large x is not excessive. Note that for large x the errors will be dominated by those of the standard function exp.

8  Parallelism and Performance

Not applicable.

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 (s18aece.c)

10.2  Program Data

Program Data (s18aece.d)

10.3  Program Results

Program Results (s18aece.r)

Produced by GNUPLOT 4.4 patchlevel 0 0 2 4 6 8 10 12 0 0.5 1 1.5 2 2.5 3 3.5 4 I0(x) x Example Program Returned Values for the Bessel Function I0(x)

nag_bessel_i0 (s18aec) (PDF version)
s Chapter Contents
s Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2014