On the Number of Unknot Diagrams Carolina Medina, Jorge Luis Ramírez Alfonsín, Gelasio Salazar
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Ribbon Concordances and Doubly Slice Knots
Ribbon concordances and doubly slice knots Ruppik, Benjamin Matthias Advisors: Arunima Ray & Peter Teichner The knot concordance group Glossary Definition 1. A knot K ⊂ S3 is called (topologically/smoothly) slice if it arises as the equatorial slice of a (locally flat/smooth) embedding of a 2-sphere in S4. – Abelian invariants: Algebraic invari- Proposition. Under the equivalence relation “K ∼ J iff K#(−J) is slice”, the commutative monoid ants extracted from the Alexander module Z 3 −1 A (K) = H1( \ K; [t, t ]) (i.e. from the n isotopy classes of o connected sum S Z K := 1 3 , # := oriented knots S ,→S of knots homology of the universal abelian cover of the becomes a group C := K/ ∼, the knot concordance group. knot complement). The neutral element is given by the (equivalence class) of the unknot, and the inverse of [K] is [rK], i.e. the – Blanchfield linking form: Sesquilin- mirror image of K with opposite orientation. ear form on the Alexander module ( ) sm top Bl: AZ(K) × AZ(K) → Q Z , the definition Remark. We should be careful and distinguish the smooth C and topologically locally flat C version, Z[Z] because there is a huge difference between those: Ker(Csm → Ctop) is infinitely generated! uses that AZ(K) is a Z[Z]-torsion module. – Levine-Tristram-signature: For ω ∈ S1, Some classical structure results: take the signature of the Hermitian matrix sm top ∼ ∞ ∞ ∞ T – There are surjective homomorphisms C → C → AC, where AC = Z ⊕ Z2 ⊕ Z4 is Levine’s algebraic (1 − ω)V + (1 − ω)V , where V is a Seifert concordance group. -
A Knot-Vice's Guide to Untangling Knot Theory, Undergraduate
A Knot-vice’s Guide to Untangling Knot Theory Rebecca Hardenbrook Department of Mathematics University of Utah Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 1 / 26 What is Not a Knot? Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 2 / 26 What is a Knot? 2 A knot is an embedding of the circle in the Euclidean plane (R ). 3 Also defined as a closed, non-self-intersecting curve in R . 2 Represented by knot projections in R . Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 3 / 26 Why Knots? Late nineteenth century chemists and physicists believed that a substance known as aether existed throughout all of space. Could knots represent the elements? Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 4 / 26 Why Knots? Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 5 / 26 Why Knots? Unfortunately, no. Nevertheless, mathematicians continued to study knots! Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 6 / 26 Current Applications Natural knotting in DNA molecules (1980s). Credit: K. Kimura et al. (1999) Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 7 / 26 Current Applications Chemical synthesis of knotted molecules – Dietrich-Buchecker and Sauvage (1988). Credit: J. Guo et al. (2010) Rebecca Hardenbrook A Knot-vice’s Guide to Untangling Knot Theory 8 / 26 Current Applications Use of lattice models, e.g. the Ising model (1925), and planar projection of knots to find a knot invariant via statistical mechanics. Credit: D. Chicherin, V.P. -
Knots: a Handout for Mathcircles
Knots: a handout for mathcircles Mladen Bestvina February 2003 1 Knots Informally, a knot is a knotted loop of string. You can create one easily enough in one of the following ways: • Take an extension cord, tie a knot in it, and then plug one end into the other. • Let your cat play with a ball of yarn for a while. Then find the two ends (good luck!) and tie them together. This is usually a very complicated knot. • Draw a diagram such as those pictured below. Such a diagram is a called a knot diagram or a knot projection. Trefoil and the figure 8 knot 1 The above two knots are the world's simplest knots. At the end of the handout you can see many more pictures of knots (from Robert Scharein's web site). The same picture contains many links as well. A link consists of several loops of string. Some links are so famous that they have names. For 2 2 3 example, 21 is the Hopf link, 51 is the Whitehead link, and 62 are the Bor- romean rings. They have the feature that individual strings (or components in mathematical parlance) are untangled (or unknotted) but you can't pull the strings apart without cutting. A bit of terminology: A crossing is a place where the knot crosses itself. The first number in knot's \name" is the number of crossings. Can you figure out the meaning of the other number(s)? 2 Reidemeister moves There are many knot diagrams representing the same knot. For example, both diagrams below represent the unknot. -
On Computation of HOMFLY-PT Polynomials of 2–Bridge Diagrams
. On computation of HOMFLY-PT polynomials of 2{bridge diagrams . .. Masahiko Murakami . Joint work with Fumio Takeshita and Seiichi Tani Nihon University . December 20th, 2010 1 Masahiko Murakami (Nihon University) On computation of HOMFLY-PT polynomials December 20th, 2010 1 / 28 Contents Motivation and Results Preliminaries Computation Conclusion 1 Masahiko Murakami (Nihon University) On computation of HOMFLY-PT polynomials December 20th, 2010 2 / 28 Contents Motivation and Results Preliminaries Computation Conclusion 1 Masahiko Murakami (Nihon University) On computation of HOMFLY-PT polynomials December 20th, 2010 3 / 28 There exist polynomial time algorithms for computing Jones polynomials and HOMFLY-PT polynomials under reasonable restrictions. Computational Complexities of Knot Polynomials Alexander polynomial [Alexander](1928) Generally, polynomial time Jones polynomial [Jones](1985) Generally, #P{hard [Jaeger, Vertigan and Welsh](1993) HOMFLY-PT polynomial [Freyd, Yetter, Hoste, Lickorish, Millett, Ocneanu](1985) [Przytycki, Traczyk](1987) Generally, #P{hard [Jaeger, Vertigan and Welsh](1993) 1 Masahiko Murakami (Nihon University) On computation of HOMFLY-PT polynomials December 20th, 2010 4 / 28 Computational Complexities of Knot Polynomials Alexander polynomial [Alexander](1928) Generally, polynomial time Jones polynomial [Jones](1985) Generally, #P{hard [Jaeger, Vertigan and Welsh](1993) HOMFLY-PT polynomial [Freyd, Yetter, Hoste, Lickorish, Millett, Ocneanu](1985) [Przytycki, Traczyk](1987) Generally, #P{hard [Jaeger, Vertigan -
Mathematics and Computation
Mathematics and Computation Mathematics and Computation Ideas Revolutionizing Technology and Science Avi Wigderson Princeton University Press Princeton and Oxford Copyright c 2019 by Avi Wigderson Requests for permission to reproduce material from this work should be sent to [email protected] Published by Princeton University Press, 41 William Street, Princeton, New Jersey 08540 In the United Kingdom: Princeton University Press, 6 Oxford Street, Woodstock, Oxfordshire OX20 1TR press.princeton.edu All Rights Reserved Library of Congress Control Number: 2018965993 ISBN: 978-0-691-18913-0 British Library Cataloging-in-Publication Data is available Editorial: Vickie Kearn, Lauren Bucca, and Susannah Shoemaker Production Editorial: Nathan Carr Jacket/Cover Credit: THIS INFORMATION NEEDS TO BE ADDED WHEN IT IS AVAILABLE. WE DO NOT HAVE THIS INFORMATION NOW. Production: Jacquie Poirier Publicity: Alyssa Sanford and Kathryn Stevens Copyeditor: Cyd Westmoreland This book has been composed in LATEX The publisher would like to acknowledge the author of this volume for providing the camera-ready copy from which this book was printed. Printed on acid-free paper 1 Printed in the United States of America 10 9 8 7 6 5 4 3 2 1 Dedicated to the memory of my father, Pinchas Wigderson (1921{1988), who loved people, loved puzzles, and inspired me. Ashgabat, Turkmenistan, 1943 Contents Acknowledgments 1 1 Introduction 3 1.1 On the interactions of math and computation..........................3 1.2 Computational complexity theory.................................6 1.3 The nature, purpose, and style of this book............................7 1.4 Who is this book for?........................................7 1.5 Organization of the book......................................8 1.6 Notation and conventions..................................... -
Combinatorics for Knots
Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness Combinatorics for Knots J. Ram´ırezAlfons´ın Universit´eMontpellier 2 J. Ram´ırezAlfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness 1 Basic notions 2 Matroid 3 Knot coloring and the unknotting problem 4 Oriented matroids 5 Spatial graphs 6 Ropes and thickness J. Ram´ırezAlfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness J. Ram´ırez Alfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness Reidemeister moves I !1 I II !1 II III !1 III J. Ram´ırez Alfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness III II II I II II J. Ram´ırezAlfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness III I II I J. Ram´ırez Alfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness III I I II II I I J. Ram´ırez Alfons´ın Combinatorics for Knots Basic notions Matroid Knot coloring and the unknotting problem Oriented matroids Spatial graphs Ropes and thickness Bracket polynomial For any link diagram D define a Laurent polynomial < D > in one variable A which obeys the following three rules where U denotes the unknot : J. -
Using Reidemeister Moves for UNKNOTTING
Algorithms in Topology Today’s Plan: Review the history and approaches to two fundamental problems: Unknotting Manifold Recognition and Classification What are knots? Knots are closed loops in R3, up to isotopy Embedding Projection What are knots? We can study smooth or polygonal knots. These give equivalent theories, but polygonal knots are more natural for computation. What are knots? Knots are closed loops in space, up to isotopy We can study smooth or polygonal knots. These give equivalent theories, but polygonal knots are more natural for computation. For algorithmic purposes, we can explicitly describe a knot as a polygon in Z3. K = {(0,0,0), (1,2,0), (2,3,8), ... , (0,0,0)} We can also use several equivalent descriptions. Some Basic Questions • Can we classify knots? • Can we recognize a particular knot, such as the unknot? • How hard is it to recognize a knot? • Does topology say something new about complexity classes? • Do undecidable problems arise in the study of knots and 3- manifolds. • Does the study of topological and geometric algorithms lead to new insight into classical problems? (Isoperimetric inequalities, P=NP? NP=coNP?) Basic Questions about Manifolds • Can we classify manifolds? • Can we recognize a particular manifold, such as the sphere? • How hard is it to recognize a manifold? (What is the complexity of an algorithm) • What undecidable problems arise in the study of knots and 3- manifolds? • Does the study of topological and geometric algorithms lead to new insight into classical problems? (Isoperimetric inequalities, P=NP? NP=coNP?) Describing Surfaces and 3-Manifolds What type of surfaces and manifolds do we consider? There are three main categories to choose from: Smooth Piecewise Linear Continuous Describing Surfaces and 3-Manifolds The continuous theory allows for more pathological examples. -
Topics in Low Dimensional Computational Topology
THÈSE DE DOCTORAT présentée et soutenue publiquement le 7 juillet 2014 en vue de l’obtention du grade de Docteur de l’École normale supérieure Spécialité : Informatique par ARNAUD DE MESMAY Topics in Low-Dimensional Computational Topology Membres du jury : M. Frédéric CHAZAL (INRIA Saclay – Île de France ) rapporteur M. Éric COLIN DE VERDIÈRE (ENS Paris et CNRS) directeur de thèse M. Jeff ERICKSON (University of Illinois at Urbana-Champaign) rapporteur M. Cyril GAVOILLE (Université de Bordeaux) examinateur M. Pierre PANSU (Université Paris-Sud) examinateur M. Jorge RAMÍREZ-ALFONSÍN (Université Montpellier 2) examinateur Mme Monique TEILLAUD (INRIA Sophia-Antipolis – Méditerranée) examinatrice Autre rapporteur : M. Eric SEDGWICK (DePaul University) Unité mixte de recherche 8548 : Département d’Informatique de l’École normale supérieure École doctorale 386 : Sciences mathématiques de Paris Centre Numéro identifiant de la thèse : 70791 À Monsieur Lagarde, qui m’a donné l’envie d’apprendre. Résumé La topologie, c’est-à-dire l’étude qualitative des formes et des espaces, constitue un domaine classique des mathématiques depuis plus d’un siècle, mais il n’est apparu que récemment que pour de nombreuses applications, il est important de pouvoir calculer in- formatiquement les propriétés topologiques d’un objet. Ce point de vue est la base de la topologie algorithmique, un domaine très actif à l’interface des mathématiques et de l’in- formatique auquel ce travail se rattache. Les trois contributions de cette thèse concernent le développement et l’étude d’algorithmes topologiques pour calculer des décompositions et des déformations d’objets de basse dimension, comme des graphes, des surfaces ou des 3-variétés. -
Knot Theory and the Alexander Polynomial
Knot Theory and the Alexander Polynomial Reagin Taylor McNeill Submitted to the Department of Mathematics of Smith College in partial fulfillment of the requirements for the degree of Bachelor of Arts with Honors Elizabeth Denne, Faculty Advisor April 15, 2008 i Acknowledgments First and foremost I would like to thank Elizabeth Denne for her guidance through this project. Her endless help and high expectations brought this project to where it stands. I would Like to thank David Cohen for his support thoughout this project and through- out my mathematical career. His humor, skepticism and advice is surely worth the $.25 fee. I would also like to thank my professors, peers, housemates, and friends, particularly Kelsey Hattam and Katy Gerecht, for supporting me throughout the year, and especially for tolerating my temporary insanity during the final weeks of writing. Contents 1 Introduction 1 2 Defining Knots and Links 3 2.1 KnotDiagramsandKnotEquivalence . ... 3 2.2 Links, Orientation, and Connected Sum . ..... 8 3 Seifert Surfaces and Knot Genus 12 3.1 SeifertSurfaces ................................. 12 3.2 Surgery ...................................... 14 3.3 Knot Genus and Factorization . 16 3.4 Linkingnumber.................................. 17 3.5 Homology ..................................... 19 3.6 TheSeifertMatrix ................................ 21 3.7 TheAlexanderPolynomial. 27 4 Resolving Trees 31 4.1 Resolving Trees and the Conway Polynomial . ..... 31 4.2 TheAlexanderPolynomial. 34 5 Algebraic and Topological Tools 36 5.1 FreeGroupsandQuotients . 36 5.2 TheFundamentalGroup. .. .. .. .. .. .. .. .. 40 ii iii 6 Knot Groups 49 6.1 TwoPresentations ................................ 49 6.2 The Fundamental Group of the Knot Complement . 54 7 The Fox Calculus and Alexander Ideals 59 7.1 TheFreeCalculus ............................... -
Maximum Knotted Switching Sequences
Maximum Knotted Switching Sequences Tom Milnor August 21, 2008 Abstract In this paper, we define the maximum knotted switching sequence length of a knot projection and investigate some of its properties. In par- ticular, we examine the effects of Reidemeister and flype moves on maxi- mum knotted switching sequences, show that every knot has projections having a full sequence, and show that all minimal alternating projections of a knot have the same length maximum knotted switching sequence. Contents 1 Introduction 2 1.1 Basic definitions . 2 1.2 Changing knot projections . 3 2 Maximum knotted switching sequences 4 2.1 Immediate bounds . 4 2.2 Not all maximal knotted switching sequences are maximum . 5 2.3 Composite knots . 5 2.4 All knots have a projection with a full sequence . 6 2.5 An infinite family of knots with projections not having full se- quences . 6 3 The effects of Reidemeister moves on the maximum knotted switching sequence length of a knot projection 7 3.1 Type I Reidemeister moves . 7 3.2 Type II Reidemeister moves . 8 3.3 Alternating knots and Type II Reidemeister moves . 9 3.4 The Conway polynomial and Type II Reidemeister moves . 13 3.5 Type III Reidemeister moves . 15 4 The maximum sequence length of minimal alternating knot pro- jections 16 4.1 Flype moves . 16 1 1 Introduction 1.1 Basic definitions A knot is a smooth embedding of S1 into R3 or S3. A knot is said to be an unknot if it is isotopic to S1 ⊂ R3. Otherwise it is knotted. -
Knot and Link Tricolorability Danielle Brushaber Mckenzie Hennen Molly Petersen Faculty Mentor: Carolyn Otto University of Wisconsin-Eau Claire
Knot and Link Tricolorability Danielle Brushaber McKenzie Hennen Molly Petersen Faculty Mentor: Carolyn Otto University of Wisconsin-Eau Claire Problem & Importance Colorability Tables of Characteristics Theorem: For WH 51 with n twists, WH 5 is tricolorable when Knot Theory, a field of Topology, can be used to model Original Knot The unknot is not tricolorable, therefore anything that is tri- 1 colorable cannot be the unknot. The prime factors of the and understand how enzymes (called topoisomerases) work n = 3k + 1 where k ∈ N ∪ {0}. in DNA processes to untangle or repair strands of DNA. In a determinant of the knot or link provides the colorability. For human cell nucleus, the DNA is linear, so the knots can slip off example, if a knot’s determinant is 21, it is 3-colorable (tricol- orable), and 7-colorable. This is known by the theorem that Proof the end, and it is difficult to recognize what the enzymes do. Consider WH 5 where n is the number of the determinant of a knot is 0 mod n if and only if the knot 1 However, the DNA in mitochon- full positive twists. n is n-colorable. dria is circular, along with prokary- Link Colorability Det(L) Unknot/Link (n = 1...n = k) otic cells (bacteria), so the enzyme L Number Theorem: If det(L) = 0, then L is WOLOG, let WH 51 be colored in this way, processes are more noticeable in 3 3 3 1 n 1 n-colorable for all n. excluding coloring the twist component. knots in this type of DNA. -
The Word Problem for Braided Monoidal Categories Is Unknot-Hard
The word problem for braided monoidal categories is unknot-hard Antonin Delpeuch Jamie Vicary Department of Computer Science, University of Oxford Computer Laboratory, University of Cambridge [email protected] [email protected] We show that the word problem for braided monoidal categories is at least as hard as the unknotting problem. As a corollary, so is the word problem for tricategories. We conjecture that the word problem for tricategories is decidable. Introduction The word problem for an algebraic structure is the decision problem which consists in determining whether two expressions denote the same elements of such a structure. Depending on the equational theory of the structure, this problem can be very simple or extremely difficult, and studying it from the lens of complexity or computability theory has proved insightful in many cases. This work is the third episode of a series of articles studying the word problem for various sorts of categories, after monoidal categories [6] and double categories [5]. We turn here to braided monoidal categories. Unlike the previous episodes, we do not propose an algorithm deciding equality, but instead show that this word problem seems to be a difficult one. More precisely we show that it is at least as hard as the unknotting problem. The unknotting problem consists in determining whether a knot can be untied and was first formu- lated by Dehn in 1910 [3]. The decidability of this problem remained open until Haken gave the first algorithm for it in 1961 [9]. As of today, no polynomial time algorithm is known for it.