The theory of associative $n$-categories has recently been proposed as a strictly associative and unital approach to higher category theory. As a foundation for a proof assistant, this is potentially attractive, since it has the potential to allow simple formal proofs of complex high-dimensional algebraic phenomena. However, the theory relies on an implicit term normalisation procedure to recognize correct composites, with no recursive method available for computing it. Here we describe a new approach to term normalisation in associative $n$-categories, based on the categorical zigzag construction. This radically simplifies the theory, and yields a recursive algorithm for normalisation, which we prove is correct. Our use of categorical lifting properties allows us to give efficient proofs of our results. This normalisation algorithm forms a core component of the proof assistant homotopy.io, and we illustrate our scheme with worked examples.
翻译:最近有人提议将联合型美元类别理论作为严格联合型和单位型方法对待较高类别理论的理论。作为证据助理的基础,这具有潜在吸引力,因为它有可能允许对复杂的高维代数现象提供简单的正式证明。然而,该理论依赖隐含的术语正常化程序来识别正确的复合物,而没有循环方法来计算它。我们在这里描述了一种基于绝对zigzag构造的在联合型美元类别中实现术语正常化的新方法。这从根本上简化了理论,并产生了一种正常化的累进算法,我们证明这是对的。我们使用直截了当的提高特性使我们能够提供我们结果的有效证明。这种正常化算法构成了证据助理同质结构的核心组成部分。io,我们用工作的例子来说明我们的计划。