论文标题

一种偏向灰类别的偏差方法

A skew approach to enrichment for Gray-categories

论文作者

Bourke, John, Lobbia, Gabriele

论文摘要

众所周知,灰类别的类别不承认模拟弱化的高维变换的单型双粘结结构。在本文中,关于该主题的第一个,我们描述了灰色类别类别的几个偏斜的单体封闭结构,其中一种捕获了更高的LAX变换,而另一个则模拟了更高的伪变态形式。

It is well known that the category of Gray-categories does not admit a monoidal biclosed structure that models weak higher-dimensional transformations. In this paper, the first of a series on the topic, we describe several skew monoidal closed structures on the category of Gray-categories, one of which captures higher lax transformations, and another which models higher pseudo-transformations.

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