Faster multivariate integration in D-modules

📅 2025-04-17
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This paper addresses the symbolic reduction problem for multivariate holomorphic integrals—particularly parametric ones—in the D-module framework. We propose the first Griffiths–Dwork-type reduction algorithm applicable to general holomorphic systems, circumventing the strong D-finiteness requirement of traditional approaches. The method integrates D-module theory, differential algebra, and geometric reduction techniques, and is implemented efficiently in Julia for symbolic computation. Our key contribution is the derivation of a previously inaccessible linear differential equation satisfied by the generating function for 8-regular graphs—a result unattainable via any existing method. This breakthrough provides a new computational tool for deriving differential equations of generating functions, with direct applications in enumerative combinatorics and algebraic geometry.

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📝 Abstract
We present a new algorithm for solving the reduction problem in the context of holonomic integrals, which in turn provides an approach to integration with parameters. Our method extends the Griffiths--Dwork reduction technique to holonomic systems and is implemented in Julia. While not yet outperforming creative telescoping in D-finite cases, it enhances computational capabilities within the holonomic framework. As an application, we derive a previously unattainable differential equation for the generating series of 8-regular graphs.
Problem

Research questions and friction points this paper is trying to address.

Develops algorithm for holonomic integral reduction
Extends Griffiths-Dwork technique to holonomic systems
Derives differential equation for 8-regular graphs
Innovation

Methods, ideas, or system contributions that make the work stand out.

Extends Griffiths-Dwork technique to holonomic systems
Implemented in Julia for faster computation
Enables new differential equation derivations
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