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arXiv 2202.12296hep-thhep-ph
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费曼多面体与UV和IR发散的热带几何

Feynman Polytopes and the Tropical Geometry of UV and IR Divergences

Nima Arkani-Hamed, Aaron Hillman, Sebastian Mizera

摘要:

我们介绍了一类多面体,简洁地捕捉结构的UV和IR发散的一般费曼积分在Schwinger参数空间,对待他们在一个统一的方式作为世界线段收缩和膨胀在不同的相对速率。虽然这些多面体通常出现凸包-通过牛顿多面体的西曼齐克多项式-我们表明,他们也有一个非常简单的对偶描述切割的线性不等式定义的方面。正是这种双重定义使得透明地理解和有效地计算任何费曼积分的主要UV和IR发散成为可能。在UV的情况下,这提供了对熟悉的嵌套和重叠发散的透明几何理解。在IR中,多面体揭示了软/共线奇点及其复杂的概括的新视角。热带几何为计算任何费曼积分的紫外/红外发散提供了一个简单的框架,将它们与某些对偶锥的体积联系起来。作为具体的应用,我们推广温伯格定理,包括IR发散的表征,并分类时空维度中,一般IR发散(对数以及幂律)可以发生。我们还计算了领先的红外发散矩形渔网图在所有的循环顺序,这原来有一个令人惊讶的简单的组合描述。

英文摘要:

We introduce a class of polytopes that concisely capture the structure of UV and IR divergences of general Feynman integrals in Schwinger parameter space, treating them in a unified way as worldline segments shrinking and expanding at different relative rates. While these polytopes conventionally arise as convex hulls - via Newton polytopes of Symanzik polynomials - we show that they also have a remarkably simple dual description as cut out by linear inequalities defining the facets. It is this dual definition that makes it possible to transparently understand and efficiently compute leading UV and IR divergences for any Feynman integral. In the case of the UV, this provides a transparent geometric understanding of the familiar nested and overlapping divergences. In the IR, the polytope exposes a new perspective on soft/collinear singularities and their intricate generalizations. Tropical geometry furnishes a simple framework for calculating the leading UV/IR divergences of any Feynman integral, associating them with the volumes of certain dual cones. As concrete applications, we generalize Weinberg's theorem to include a characterization of IR divergences, and classify space-time dimensions in which general IR divergences (logarithmic as well as power-law) can occur. We also compute the leading IR divergence of rectangular fishnet diagrams at all loop orders, which turn out to have a surprisingly simple combinatorial description.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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