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Encyclopedia > Generating functions

In mathematics a generating function is a formal power series whose coefficients encode information about a sequence an that is indexed by the natural numbers.


There are various types of generating functions - definitions and examples are given below. Every sequence has a generating function of each type. The particular generating function that is most useful in a given context will depend upon the nature of the sequence and the details of the problem being addressed.


Generating functions are often expressed in closed form as functions of a formal argument x. Sometimes a generating function is evaluated at a specific value of x. However, it must be remembered that generating functions are formal power series, and they will not necessarily converge for all values of x.

Contents

Definitions

A generating function is a clothesline on which we hang up a sequence of numbers for display. -- Herbert Wilf, generatingfunctionology (1994)

Ordinary generating function

The ordinary generating function of a sequence an is

When generating function is used without qualification, it is usually taken to mean an ordinary generating function.


If an is the probability mass function of a discrete random variable, then its ordinary generating function is called a probability-generating function.


The ordinary generating function can be generalised to sequences with multiple indexes. For example, the ordinary generating function of a sequence am,n (where n and m are natural numbers) is

Exponential generating function

The exponential generating function of a sequence an is

Lambert series

The Lambert series of a sequence an is

Note that in a Lambert series the index n starts at 1, not at 0.


Dirichlet series generating functions

Dirichlet series are often classified as generating functions, although they are not strictly formal power series. The Dirichlet series generating function of a sequence an is

Dirichlet series generating functions are especially useful for multiplicative functions, when they have an Euler product expression. If an is a Dirichlet character then its Dirichlet series generating function is called a Dirichlet L-series.


Examples

Generating functions for the sequence of square numbers an = n2 are :-


Ordinary generating function

Exponential generating function

Dirichlet series generating function

Uses

Generating functions are used to :-

  • Find recurrence relations for sequences - the form of a generating function may suggest a recurrence formula.
  • Find relationships between sequences - if the generating functions of two sequences have a similar form, then the sequences themselves are probably related.
  • Explore the asymptotic behaviour of sequences.
  • Prove identities involving sequences.
  • Solve enumeration problems in combinatorics.
  • Evaluate infinite sums.

See also

References

  • Wilf, Herbert S. (1994) generatingfunctionology (Second Edition). Academic Press. ISBN 0127519564. For a downloadable version provided by Herbert Wilf and Academic Press, see this link: Download the book Generatingfunctionology (http://www.math.upenn.edu/%7Ewilf/DownldGF.html)

External links


  Results from FactBites:
 
Generating Functions from Interactive Mathematics Miscellany and Puzzles (757 words)
A generating function is a clothesline on which we hang up a sequence of numbers for display.
In this sense, the term generating function is not quite consistent in that the operation of substituting a number for x in order to establish the value of the series at that point, is not legal.
is the generating function of the sequence of the binomial coefficients
JSSM- 2006, Vol.5, Issue 4, 567 - 574 (2943 words)
The mathematical method of generating functions is used to show that the likelihood of long matches can be substantially reduced by using the tiebreak game in the fifth set, or more effectively by using a new type of game, the 50-40 game, throughout the match.
The cumulant generating function (taking the natural logarithm of the moment generating function), can also be used to calculate the parameters of the distribution in a tennis match.
The cumulant generating function is particularly useful for calculating the parameters of distributions for the number of points in a tiebreaker match, since the critical property of cumulant generating functions is that they are additive for linear combinations of independent random variables.
  More results at FactBites »


 

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