# Incomplete Gamma Function with Continued Fractions

Requires a Wolfram Notebook System

Interact on desktop, mobile and cloud with the free Wolfram CDF Player or other Wolfram Language products.

Requires a Wolfram Notebook System

Edit on desktop, mobile and cloud with any Wolfram Language product.

Continued fractions provide a very effective toolset for approximating functions. Usually the continued fraction expansion of a function approximates the function better than its Taylor or Fourier series. This Demonstration compares the quality of three approximations to the incomplete gamma function . One is the Taylor series and the other two are continued fraction expansions. The first continued fraction expansion can be obtained as a canonical even contraction of a continued fraction using Euler's method to transform a series to an S-fraction. The other is a continued fraction expansion the author has developed as a canonical even contraction from the first one.

Contributed by: Andreas Lauschke (March 2011)

Open content licensed under CC BY-NC-SA

## Snapshots

## Details

This Demonstration shows an example of the Taylor series providing a better approximation to a function in a certain range and a continued fraction approximation providing a better approximation in another range. It is generally a shortcoming of polynomials that for larger absolute values of they cannot approximate functions well that converge towards constants or do not have zeroes, as polynomials tend to ±∞ for large absolute . Rational function approximations—for example, continued fractions or Padé approximations—or certain special functions are much better. On the other hand, as can be seen here, the series approximates the incomplete Gamma function better for smaller values of as both continued fraction expansions must go through the origin, but . The optimal "change-over point" varies with the parameter and the number of terms used in the expansions.

Additional Information:

The continued fraction algorithms uses the backward recurrence method to compute the continued fraction expansion. This method has been shown to be extremely stable for most continued fraction expansions, which is extremely important on numerical platforms that incur truncation or round-off error due to the limitations of machine precision. It can be shown that the backward recurrence method ("from tail to head") is vastly more stable (even self-correcting) than the forward recurrence method ("from head to tail") for two important classes of continued fractions: the Stieltjes continued fractions (which includes the C-fractions) and those that fulfill the parabolic convergence region theorem. Several function classes with known Stieltjes continued fraction expansions include: exponential integrals, incomplete gamma functions, logarithms of gamma functions, the error function, ratios of successive Bessel functions of the first kind, Euler's hypergeometric function, as well as various elementary transcendental functions. The forward recurrence method (which solves a second-order linear difference equation), however, can be computationally more efficient due to the carry-over of results from one step to the next, which is a property the backward recurrence method does not possess.

The backward recurrence method of the continued fraction expansion is also more stable than its conversion to a Padé approximation (even when several forms of the Horner form of the numerator and denominator polynomials are used), which is very important on strictly numerical platforms.

## Permanent Citation