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Exploring the linear space of Feynman integrals via generating functions

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arxiv 2306.02927 v2 pith:HPJY4WNH submitted 2023-06-05 hep-ph hep-th

classification hep-phhep-th
keywords feynmanintegralsfunctionsgeneratingreductionrulesableassociated
verification ladder T0 review T1 audit T2 compute T3 formal

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Deriving a comprehensive set of reduction rules for Feynman integrals has been a longstanding challenge. In this paper, we present a proposed solution to this problem utilizing generating functions of Feynman integrals. By establishing and solving differential equations of these generating functions, we are able to derive a system of reduction rules that effectively reduce any associated Feynman integrals to their bases. We illustrate this method through various examples and observe its potential value in numerous scenarios.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Tensor Reduction of Sunset by Generating Function

    hep-th 2025-09 conditional novelty 6.0 of 10

    A complete set of recurrence relations is derived to reduce any tensor integral of the sunset diagram to seven master integrals, using generating functions supplemented by syzygy equations.

  2. Kira 3: integral reduction with efficient seeding and optimized equation selection

    hep-ph 2025-05 conditional novelty 6.0 of 10

    Kira 3 cuts Feynman-integral reduction cost by up to two orders of magnitude using smarter seeding and equation selection.

  3. AMFlow 2.0: significant algorithmic and software improvements for Feynman integral evaluation

    hep-ph 2026-07 accept novelty 5.0 of 10

    AMFlow 2.0 cuts symbolic and numerical cost of multi-loop Feynman integral evaluation via an FT recursion mode, a C++ DE solver, and modern IBP reducers, demonstrated on a three-loop five-point family.

  4. Direct Expression for One-Loop Tensor Reduction with Lorentz Indices via Generating Function

    hep-th 2025-01 conditional novelty 5.0 of 10

    A rational, recursion-free expression for one-loop tensor reduction coefficients with Lorentz indices is given, built from a small set of tensor building blocks.

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