2019
DOI: 10.1137/17m115462x
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On the Number of Unknot Diagrams

Abstract: Let D be a knot diagram, and let D denote the set of diagrams that can be obtained from D by crossing exchanges. If D has n crossings, then D consists of 2 n diagrams. A folklore argument shows that at least one of these 2 n diagrams is unknot, from which it follows that every diagram has finite unknotting number. It is easy to see that this argument can be used to show that actually D has more than one unknot diagram, but it cannot yield more than 4n unknot diagrams. We improve this linear bound to a superpol… Show more

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Cited by 6 publications
(4 citation statements)
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“…We make use of the following remark. By [4,Theorem 3], every shadow in which not every crossing is nugatory resolves into a trefoil knot. As we discussed above, a is a nugatory crossing of a shadow S if and only if a does not form part of any alternating pair of symbols in the Gauss code of S. Thus we have the following.…”
Section: The Four Relevant Types Of Shadows In Terms Of Gauss Codesmentioning
confidence: 99%
“…We make use of the following remark. By [4,Theorem 3], every shadow in which not every crossing is nugatory resolves into a trefoil knot. As we discussed above, a is a nugatory crossing of a shadow S if and only if a does not form part of any alternating pair of symbols in the Gauss code of S. Thus we have the following.…”
Section: The Four Relevant Types Of Shadows In Terms Of Gauss Codesmentioning
confidence: 99%
“…In the last decades, there has also been interest in properties of random knots and links and their models, as well as random generation of them; see for instance [10,7,13,15] or [8,Chapter 25]. In parallel, various combinatorial and algorithmic questions of more deterministic nature have been addressed, for example in [1,9,22].…”
Section: Introductionmentioning
confidence: 99%
“…In the last decades, there has also been interest in properties of random knots and links and their models, as well as random generation of them; see for instance [11,8,14,17] or [9,Chapter 25]. In parallel, various combinatorial and algorithmic questions of more deterministic nature have been addressed, for example in [1,10,23].…”
Section: Introductionmentioning
confidence: 99%