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Planar Matrices and Arrays of Feynman Diagrams: Poles for Higher $k$

Alfredo Guevara, Yong Zhang

Abstract

Planar arrays of tree diagrams were introduced as a generalization of Feynman diagrams that enables the computation biadjoint amplitudes $m^{(k)}_n$ for $k>2$ . In this follow-up work we investigate the poles of $m^{(k)}_n$ from the perspective of such arrays. For general $k$ we characterize the underlying polytope as a Flag Complex and propose a computation of the amplitude based solely on the knowledge of poles, which number is drastically less than the number of full arrays. As an example we first provide all the poles for the cases $(k,n)=(3,7),(3,8),(4,8)$ and $(4,9)$ in terms of their generalized Feynman diagrams. We then implement a simple compatibility criteria together with an addition operation between arrays, and recover the full collections/arrays recently presented for such cases. Along the way we implement hard and soft kinematical limits, which provide a map between poles in kinematic space and their combinatoric arrays. We use the operation to give a proof of a previously conjectured combinatorial duality for arrays in $(k,n)$ and $(n-k,n)$. We also outline the relation to boundary maps of the hypersimplex $Δ_{k,n}$ and rays in the tropical Grassmannian $\textrm{Tr}(k,n)$.

Planar Matrices and Arrays of Feynman Diagrams: Poles for Higher $k$

Abstract

Planar arrays of tree diagrams were introduced as a generalization of Feynman diagrams that enables the computation biadjoint amplitudes for . In this follow-up work we investigate the poles of from the perspective of such arrays. For general we characterize the underlying polytope as a Flag Complex and propose a computation of the amplitude based solely on the knowledge of poles, which number is drastically less than the number of full arrays. As an example we first provide all the poles for the cases and in terms of their generalized Feynman diagrams. We then implement a simple compatibility criteria together with an addition operation between arrays, and recover the full collections/arrays recently presented for such cases. Along the way we implement hard and soft kinematical limits, which provide a map between poles in kinematic space and their combinatoric arrays. We use the operation to give a proof of a previously conjectured combinatorial duality for arrays in and . We also outline the relation to boundary maps of the hypersimplex and rays in the tropical Grassmannian .

Paper Structure

This paper contains 9 sections, 6 theorems, 52 equations, 2 figures, 2 tables.

Key Result

Theorem 2.2

Two one-parameter collections $\mathcal{C}^{X}$ and $\mathcal{C}^{Y}$ are compatible if and only if their respective $k=2$ components $T_{i}^X$ and $T_{i}^Y$ are compatible for all $i$.

Figures (2)

  • Figure 1: Bipyramid projected into three dimensions.
  • Figure 2: Addition of compatible diagrams.

Theorems & Definitions (7)

  • Definition 2.1
  • Theorem 2.2
  • Corollary 2.3
  • Theorem 2.4
  • Corollary 2.5
  • Theorem 3.1
  • Theorem 3.1