Advanced Studies in Pure Mathematics

Algorithms for $D$-modules, integration, and generalized functions with applications to statistics

Toshinori Oaku

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This is an enlarged and revised version of the slides presented in a series of survey lectures given by the present author at MSJ SI 2015 in Osaka. The goal is to introduce an algorithm for computing a holonomic system of linear (ordinary or partial) differential equations for the integral of a holonomic function over the domain defined by polynomial inequalities. It applies to the cumulative function of a polynomial of several independent random variables with e.g., a normal distribution or a gamma distribution. Our method consists in Gröbner basis computation in the Weyl algebra, i.e., the ring of differential operators with polynomial coefficients. In the algorithm, generalized functions are inevitably involved even if the integrand is a usual function. Hence we need to make sure to what extent purely algebraic method of Gröbner basis applies to generalized functions which are based on real analysis.

Article information

The 50th Anniversary of Gröbner Bases, T. Hibi, ed. (Tokyo: Mathematical Society of Japan, 2018), 253-352

Received: 30 August 2016
First available in Project Euclid: 21 September 2018

Permanent link to this document euclid.aspm/1537499605

Digital Object Identifier

Mathematical Reviews number (MathSciNet)

Zentralblatt MATH identifier

Primary: 13N10: Rings of differential operators and their modules [See also 16S32, 32C38] 13P10: Gröbner bases; other bases for ideals and modules (e.g., Janet and border bases) 46F10: Operations with distributions 62E15: Exact distribution theory

$D$-module Gröbner basis generalized function probability density function


Oaku, Toshinori. Algorithms for $D$-modules, integration, and generalized functions with applications to statistics. The 50th Anniversary of Gröbner Bases, 253--352, Mathematical Society of Japan, Tokyo, Japan, 2018. doi:10.2969/aspm/07710253.

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