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arXiv 1905.03376math.ATmath.CT
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高阶Segal空间与Lax $\mathbb{A}_\infty$ -代数

Higher Segal spaces and Lax $\mathbb{A}_\infty$-algebras

Adam Gal, Elena Gal

摘要:

高阶Segal空间的概念是由Dyckerhoff和Kapranov引入的,作为研究广泛数学对象中固有的高阶结合性的一般框架。在目前的工作中,我们形式化的概念和概念之间的联系$\mathbb{A}_\infty$ -代数。我们引入了“$d$ -lax $\mathbb{A}_\infty$ -代数对象”的概念,它推广了$\mathbb{A}_\infty$ -代数对象的概念.我们描述了一个结构,分配给一个单纯的对象$S_\bullet$在一个类别$\mathscr{S}$的数据更高的协会。我们证明了当$S_\bullet$是一个$(d+1)$ -Segal对象时,这个数据在$\mathscr{S}$的对应范畴中定义了一个$d$ -lax $\mathbb{A}_\infty$ -代数对象.更具体地说,我们证明了对于$n\geq d$,“$n$ -维结合子”是可逆的.所谓的“上”和“下”$d$ -Segal条件最初来自多面体的几何学,在我们的构造中自然地出现为两个条件,这两个条件一起暗示了$d$ -维结合子的可逆性。一个推论是,对于$d=2$,我们的构造定义了一个$\mathbb{A}_\infty$ -代数在$(\infty,1)$ -范畴的对应$\mathscr{S}$与$2$-Segal条件暗示可逆的所有结合数据。

英文摘要:

The notion of a higher Segal space was introduced by Dyckerhoff and Kapranov as a general framework for studying higher associativity inherent in a wide range of mathematical objects. In the present work we formalize the connection between this notion and the notion of $\mathbb{A}_\infty$-algebra. We introduce the notion of a "$d$-lax $\mathbb{A}_\infty$-algebra object" which generalizes the notion of an $\mathbb{A}_\infty$-algebra object. We describe a construction that assigns to a simplicial object $S_\bullet$ in a category $\mathscr{S}$ a datum of higher associators. We show that this datum defines a $d$-lax $\mathbb{A}_\infty$-algebra object in the category of correspondences in $\mathscr{S}$ precisely when $S_\bullet$ is a $(d+1)$-Segal object. More concretely we prove that for $n\geq d$ the "$n$-dimensional associator" is invertible. The so called "upper" and "lower" $d$-Segal conditions which originally come from the geometry of polytopes appear naturally in our construction as the two conditions which together imply the invertibility of the $d$-dimensional associator. A corollary is that for $d=2$, our construction defines an $\mathbb{A}_\infty$-algebra in the $(\infty,1)$-category of correspondences in $\mathscr{S}$ with the $2$-Segal conditions implying invertibility of all associativity data.

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