Homotopical Models for Metric Spaces and Completeness

IF 0.6 4区 数学 Q3 MATHEMATICS Applied Categorical Structures Pub Date : 2024-10-04 DOI:10.1007/s10485-024-09788-7
Isaiah Dailey, Clara Huggins, Semir Mujevic, Chloe Shupe
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Abstract

Categories enriched in the opposite poset of non-negative reals can be viewed as generalizations of metric spaces, known as Lawvere metric spaces. In this article, we develop model structures on the categories \({\mathbb {R}_+\text {-}\textbf{Cat}}\) and \({\mathbb {R}_+\text {-}\textbf{Cat}}^\textrm{sym}\) of Lawvere metric spaces and symmetric Lawvere metric spaces, each of which captures different features pertinent to the study of metric spaces. More precisely, in the three model structures we construct, the fibrant–cofibrant objects are the extended metric spaces (in the usual sense), the Cauchy complete Lawvere metric spaces, and the Cauchy complete extended metric spaces, respectively. Finally, we show that two of these model structures are unique in a similar way to the canonical model structure on \(\textbf{Cat}\).

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度量空间的同托邦模型与完备性
在非负实数的相反poset中丰富的范畴可以被看作是度量空间的广义化,即Lawvere度量空间。在本文中,我们在 Lawvere 度量空间和对称 Lawvere 度量空间的范畴 \({\mathbb {R}_\+text {-}\textbf{Cat}}\) 和 \({\mathbb {R}_\+text {-}\textbf{Cat}}^\textrm{sym}\) 上建立了模型结构,每个模型结构都捕捉到了与度量空间研究相关的不同特征。更确切地说,在我们构建的三个模型结构中,纤维纤胞对象分别是扩展度量空间(通常意义上)、Cauchy 完全 Lawvere 度量空间和 Cauchy 完全扩展度量空间。最后,我们以类似于 \(\textbf{Cat}\) 上的典型模型结构的方式证明了其中两个模型结构是唯一的。
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来源期刊
CiteScore
1.30
自引率
16.70%
发文量
29
审稿时长
>12 weeks
期刊介绍: Applied Categorical Structures focuses on applications of results, techniques and ideas from category theory to mathematics, physics and computer science. These include the study of topological and algebraic categories, representation theory, algebraic geometry, homological and homotopical algebra, derived and triangulated categories, categorification of (geometric) invariants, categorical investigations in mathematical physics, higher category theory and applications, categorical investigations in functional analysis, in continuous order theory and in theoretical computer science. In addition, the journal also follows the development of emerging fields in which the application of categorical methods proves to be relevant. Applied Categorical Structures publishes both carefully refereed research papers and survey papers. It promotes communication and increases the dissemination of new results and ideas among mathematicians and computer scientists who use categorical methods in their research.
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