{"title":"Penteract 中的定向和无定向立方体表面","authors":"Manuel Estevez, Erika Roldan, Henry Segerman","doi":"arxiv-2403.12825","DOIUrl":null,"url":null,"abstract":"Which surfaces can be realized with two-dimensional faces of the\nfive-dimensional cube (the penteract)? How can we visualize them? In recent\nwork, Aveni, Govc, and Roldan, show that there exist 2690 connected closed\ncubical surfaces up to isomorphism in the 5-cube. They give a classification in\nterms of their genus $g$ for closed orientable cubical surfaces and their\ndemigenus $k$ for a closed non-orientable cubical surface. In this paper, we\nexplain the main idea behind the exhaustive search and we visualize the\nprojection to $\\mathbb{R}^3$ of a torus, a genus two torus, the projective\nplane, and the Klein bottle. We use reinforcement learning techniques to obtain\nconfigurations optimized for 3D printing.","PeriodicalId":501462,"journal":{"name":"arXiv - MATH - History and Overview","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Oriented and Non-oriented Cubical Surfaces in The Penteract\",\"authors\":\"Manuel Estevez, Erika Roldan, Henry Segerman\",\"doi\":\"arxiv-2403.12825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Which surfaces can be realized with two-dimensional faces of the\\nfive-dimensional cube (the penteract)? How can we visualize them? In recent\\nwork, Aveni, Govc, and Roldan, show that there exist 2690 connected closed\\ncubical surfaces up to isomorphism in the 5-cube. They give a classification in\\nterms of their genus $g$ for closed orientable cubical surfaces and their\\ndemigenus $k$ for a closed non-orientable cubical surface. In this paper, we\\nexplain the main idea behind the exhaustive search and we visualize the\\nprojection to $\\\\mathbb{R}^3$ of a torus, a genus two torus, the projective\\nplane, and the Klein bottle. We use reinforcement learning techniques to obtain\\nconfigurations optimized for 3D printing.\",\"PeriodicalId\":501462,\"journal\":{\"name\":\"arXiv - MATH - History and Overview\",\"volume\":\"70 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - History and Overview\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2403.12825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - History and Overview","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.12825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
哪些曲面可以用五维立方体(penteract)的二维面来实现?如何将它们可视化?阿韦尼、戈夫克和罗尔丹在最近的研究中表明,在五维立方体中存在 2690 个直到同构为止相连的封闭立方体曲面。他们给出了闭合可定向立方体表面的属$g$和闭合不可定向立方体表面的本征$k$的分类。在本文中,我们解释了穷举搜索背后的主要思想,并将环面、属二环面、投影面和克莱因瓶投影到 $\mathbb{R}^3$ 可视化。我们使用强化学习技术来获得为 3D 打印而优化的配置。
Oriented and Non-oriented Cubical Surfaces in The Penteract
Which surfaces can be realized with two-dimensional faces of the
five-dimensional cube (the penteract)? How can we visualize them? In recent
work, Aveni, Govc, and Roldan, show that there exist 2690 connected closed
cubical surfaces up to isomorphism in the 5-cube. They give a classification in
terms of their genus $g$ for closed orientable cubical surfaces and their
demigenus $k$ for a closed non-orientable cubical surface. In this paper, we
explain the main idea behind the exhaustive search and we visualize the
projection to $\mathbb{R}^3$ of a torus, a genus two torus, the projective
plane, and the Klein bottle. We use reinforcement learning techniques to obtain
configurations optimized for 3D printing.