循环神经的对称性

David Ayala, Aaron Mazel-Gee, Nick Rozenblyum
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引用次数: 0

摘要

我们系统地研究了$(\infty,1)$范畴(更广义地说是$\infty$范畴中的范畴对象)的霍希尔德同源性,即(几何实现的)循环神经,作为因子化同源性的一个版本。为了做到这一点,我们将$(\infty,1)$范畴编码为其中的四元组表征。通过研究这种霍赫希尔德同调的一个普遍实例,我们明确地识别了它的自然对称性,并构建了一个非稳定版本的回旋迹图。在此过程中,我们给出了关于循环范畴、准循环范畴和表循环范畴的统一解释。我们还证明,这给出了[AFR18]中提出的actorization homology 的 $n=1$ 情况的组合描述,它通过固态 1 帧分层空间对$(\infty,1)$类进行了参数化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symmetries of the cyclic nerve
We undertake a systematic study of the Hochschild homology, i.e. (the geometric realization of) the cyclic nerve, of $(\infty,1)$-categories (and more generally of category-objects in an $\infty$-category), as a version of factorization homology. In order to do this, we codify $(\infty,1)$-categories in terms of quiver representations in them. By examining a universal instance of such Hochschild homology, we explicitly identify its natural symmetries, and construct a non-stable version of the cyclotomic trace map. Along the way we give a unified account of the cyclic, paracyclic, and epicyclic categories. We also prove that this gives a combinatorial description of the $n=1$ case of factorization homology as presented in [AFR18], which parametrizes $(\infty,1)$-categories by solidly 1-framed stratified spaces.
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