Projection pursuit regression
In mathematics, the generalized polygamma function or balanced negapolygamma function is a function introduced by Olivier Espinosa Aldunate and Victor H. Moll.[1]
It generalizes the polygamma function to negative and fractional order, but remains equal to it for integer positive orders.
Definition
The generalized polygamma function is defined as follows:
or alternatively,
where is the Polygamma function and is the Hurwitz zeta function.
The function is balanced, in that it satisfies the conditions and .
Relations
Several special functions can be expressed in terms of generalized polygamma function.
where are Bernoulli polynomials
where K(z) is K-function and A is the Glaisher constant.
Special values
The balanced polygamma function can be expressed in a closed form at certain points:
- where is the Glaisher constant and is the Catalan constant.