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arXiv 1901.04828math.CTmath.AT
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流范畴的度量极限

Metric Limits in Categories with a Flow

Joshua Cruz

摘要:

在拓扑数据科学中,具有流的类别已经变得无处不在,包括作为特殊情况的例子,如持久化模块和层。随着流动而来的是交错距离,这已被证明对应用有用。我们给出了简单的,范畴的条件,保证度量完备性的一类流,这意味着每个柯西序列有一个限制。我们还描述了如何找到一个度量完成一个类别的流通过使用其Yoneda嵌入。这项工作的首要目标是准备的方式,这些类别的概率测度的收敛理论与流。

英文摘要:

In topological data science, categories with a flow have become ubiquitous, including as special cases examples like persistence modules and sheaves. With the flow comes an interleaving distance, which has proven useful for applications. We give simple, categorical conditions which guarantee metric completeness of a category with a flow, meaning that every Cauchy sequence has a limit. We also describe how to find a metric completion of a category with a flow by using its Yoneda embedding. The overarching goal of this work is to prepare the way for a theory of convergence of probability measures on these categories with a flow.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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