Feynman Integral Reduction using Syzygy-Constrained Symbolic Reduction Rules
Sid Smith, Mao Zeng

TL;DR
This paper introduces a novel algorithm for efficiently reducing complex multi-loop Feynman integrals using syzygy equations, symbolic manipulation, and targeted linear systems, significantly speeding up amplitude calculations.
Contribution
The paper presents a new syzygy-based algorithm for IBP reduction that handles high-power integrals with symbolic dependence, improving computational efficiency in multi-loop amplitude evaluations.
Findings
Successfully applied to double box and pentabox integrals with high complexity.
Achieved faster IBP reduction in black hole binary scattering amplitude calculations.
Demonstrated effectiveness on non-trivial two-loop Feynman integrals.
Abstract
We present a new algorithm for integration-by-parts (IBP) reduction of Feynman integrals with high powers of numerators or propagators, a demanding computational step in evaluating multi-loop scattering amplitudes. The algorithm starts with solving syzygy equations in individual sectors to produce IBP operators that turn seed integrals into IBP equations without artificially raised propagator powers. The IBP operators are expressed in terms of index-shift operators and number operators. We perform row reduction to systematically reshuffle the IBP operators and expose reduction rules with symbolic dependence on the powers of propagators and numerators. When this is insufficient, we produce more symbolic reduction rules by directly solving the linear system of IBP equations in which some propagator/numerator powers are kept symbolic. This linear system is kept small, as the equations are…
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Taxonomy
TopicsParallel Computing and Optimization Techniques · Algebraic and Geometric Analysis
