Litcius/Paper detail

Macaulay matrix for Feynman integrals: linear relations and intersection numbers

Vsevolod Chestnov, Federico Gasparotto, Manoj K. Mandal, Pierpaolo Mastrolia, Saiei-Jaeyeong Matsubara-Heo, Henrik J. Munch, Nobuki Takayama

2022Journal of High Energy Physics50 citationsDOIOpen Access PDF

Abstract

A bstract We elaborate on the connection between Gel’fand-Kapranov-Zelevinsky systems, de Rham theory for twisted cohomology groups, and Pfaffian equations for Feynman Integrals. We propose a novel, more efficient algorithm to compute Macaulay matrices, which are used to derive Pfaffian systems of differential equations. The Pfaffian matrices are then employed to obtain linear relations for $$ \mathcal{A} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>A</mml:mi> </mml:math> -hypergeometric (Euler) integrals and Feynman integrals, through recurrence relations and through projections by intersection numbers.

Topics & Concepts

PfaffianFeynman diagramPhysicsIntersection (aeronautics)Pure mathematicsMatrix (chemical analysis)Mathematical physicsCohomologyHypergeometric distributionMathematicsEngineeringMaterials scienceComposite materialAerospace engineeringPolynomial and algebraic computationAdvanced Topics in AlgebraAlgebraic structures and combinatorial models
Macaulay matrix for Feynman integrals: linear relations and intersection numbers | Litcius