Projection pursuit regression

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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:

References