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Introduction to high dimensional knots

Ogasa, Eiji...

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Introduction to high dimensional knots by Ogasa, Eiji ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	26-07-2023
Summary	This is an introductory article on high dimensional knots for the beginners. High dimensional knot theory is an exciting field. It is a field of knot theory, which is one of topology and is connected with many ones. In this article we use few literal expressions, equations, functions, etc. We barely suppose that the readers have studied manifolds, homology theory, or topics beyond them. Is there a nontrivial high dimensional knot? We first answer this question. After that, we explain local moves on high dimensional knots and the projections of high dimensional knots.
ISBN	-
Item Type	Article
File Type	pdf
File Size	30.00 KB
Language	English
Subjects	-
Charge Per Copy	MYR 0.01
Available copies	1
Total read	-
URL	http://arxiv.org/abs/1304.6053

Citation

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AMA 11th EditionReferences

Ogasa, Eiji. Introduction to high dimensional knots. Australian National University. July 26, 2023. Accessed September 20, 2024. https://online.provdatabase.com/cite/6076

APA 7th EditionReferences

Ogasa, Eiji. (2023). Introduction to high dimensional knots. Australian National University. https://online.provdatabase.com/cite/6076

Chicago 17th EditionReferences

Ogasa, Eiji. Introduction to high dimensional knots. Australian National University. 2023. https://online.provdatabase.com/cite/6076

HarvardReferences

Ogasa, Eiji. (2023). Introduction to high dimensional knots. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/6076. (Accessed 20 September 2024).

Harvard AustraliaReferences

Ogasa, Eiji, 2023, Introduction to high dimensional knots, Australian National University, viewed 20 September 2024, <https://online.provdatabase.com/cite/6076>

MLA 9th EditionWorks Cited

Ogasa, Eiji. Introduction to high dimensional knots. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/6076.

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