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首页> 外文期刊>Canadian Mathematical Bulletin >Classifying Spaces for Monoidal Categories Through Geometric Nerves
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Classifying Spaces for Monoidal Categories Through Geometric Nerves

机译:通过几何神经对单等分类的空间进行分类

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摘要

The usual constructions of classifying spaces for monoidal categories produce CW-complexes with many cells that, moreover, do not have any proper geometric meaning. However, geometric nerves of monoidal categories are very handy simplicial sets whose simplices have a pleasing geometric description: they are diagrams with the shape of the 2-skeleton of oriented standard simplices. The purpose of this paper is to prove that geometric realizations of geometric nerves are classifying spaces for monoidal categories.
机译:单面体类别空间的常规构造会产生带有许多单元的CW复合体,而且这些单元没有任何适当的几何意义。但是,单曲面类别的几何神经是非常方便的简单集合,其单纯形具有令人满意的几何描述:它们是具有定向的标准单纯形的2骨架形状的图。本文的目的是证明几何神经的几何实现是将空间归为一元类。

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