Nerves of enriched categories via necklaces

Arne Mertens
{"title":"Nerves of enriched categories via necklaces","authors":"Arne Mertens","doi":"arxiv-2408.10049","DOIUrl":null,"url":null,"abstract":"We introduce necklicial nerve functors from enriched categories to simplicial\nsets, which include Cordier's homotopy coherent, Lurie's differential graded\nand Le Grignou's cubical nerves. It is shown that every necklicial nerve can be\nlifted to the templicial objects of arXiv:2302.02484v2. Building on the work of\nDugger and Spivak, we give sufficient conditions under which the left-adjoint\nof a necklicial nerve can be described more explicitly. As an application, we\nobtain novel and simple expressions for the left-adjoints of the dg-nerve and\ncubical nerve.","PeriodicalId":501135,"journal":{"name":"arXiv - MATH - Category Theory","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Category Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.10049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We introduce necklicial nerve functors from enriched categories to simplicial sets, which include Cordier's homotopy coherent, Lurie's differential graded and Le Grignou's cubical nerves. It is shown that every necklicial nerve can be lifted to the templicial objects of arXiv:2302.02484v2. Building on the work of Dugger and Spivak, we give sufficient conditions under which the left-adjoint of a necklicial nerve can be described more explicitly. As an application, we obtain novel and simple expressions for the left-adjoints of the dg-nerve and cubical nerve.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过项链丰富类别的神经
我们介绍了从丰富范畴到简单集的颈神经函子,其中包括科迪埃的同调相干、卢里的微分级数和勒格里努的立方神经。研究表明,每一个立方神经都可以转移到 arXiv:2302.02484v2 的简单对象。在杜格和斯皮瓦克工作的基础上,我们给出了充分条件,在这些条件下可以更明确地描述颈项神经的左连接。作为应用,我们获得了 dg 神经和立方神经左接头的新颖而简单的表达式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cyclic Segal Spaces Unbiased multicategory theory Multivariate functorial difference A Fibrational Theory of First Order Differential Structures A local-global principle for parametrized $\infty$-categories
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1