ON THE DEGREES OF RATIONAL KNOTS

Similar documents
2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

Let us start with a two dimensional case. We consider a vector ( x,

Chapter 7: Solving Trig Equations

Chapter 2. First Order Scalar Equations

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Statistical Mechanics

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Y 0.4Y 0.45Y Y to a proper ARMA specification.

Matlab and Python programming: how to get started

Predator - Prey Model Trajectories and the nonlinear conservation law

KEY. Math 334 Midterm III Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

Math 315: Linear Algebra Solutions to Assignment 6

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

20. Applications of the Genetic-Drift Model

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

Transforming Trigonometric Knot Parameterizations into Rational Knot Parameterizations

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.

EXERCISES FOR SECTION 1.5

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

10. State Space Methods

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu

LAPLACE TRANSFORM AND TRANSFER FUNCTION

15. Vector Valued Functions

Exponential and Logarithmic Functions -- ANSWERS -- Logarithms Practice Diploma ANSWERS 1

Representation of Stochastic Process by Means of Stochastic Integrals

Random Walk with Anti-Correlated Steps

THE 2-BODY PROBLEM. FIGURE 1. A pair of ellipses sharing a common focus. (c,b) c+a ROBERT J. VANDERBEI

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term

Comments on Window-Constrained Scheduling

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type

Optimality Conditions for Unconstrained Problems

Some Ramsey results for the n-cube

1 Solutions to selected problems

Sections 2.2 & 2.3 Limit of a Function and Limit Laws

Families with no matchings of size s

Distance Between Two Ellipses in 3D

Instructor: Barry McQuarrie Page 1 of 5

We just finished the Erdős-Stone Theorem, and ex(n, F ) (1 1/(χ(F ) 1)) ( n

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

A Shooting Method for A Node Generation Algorithm

Expert Advice for Amateurs

DIFFERENTIAL GEOMETRY HW 5

Math 333 Problem Set #2 Solution 14 February 2003

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method

Congruent Numbers and Elliptic Curves

Second quantization and gauge invariance.

Supplement for Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence

Math-Net.Ru All Russian mathematical portal

WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL

= ( ) ) or a system of differential equations with continuous parametrization (T = R

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

LAB # 2 - Equilibrium (static)

Unit Root Time Series. Univariate random walk

HOTELLING LOCATION MODEL

Chapter 3 Boundary Value Problem

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

EXISTENCE AND ITERATION OF MONOTONE POSITIVE POLUTIONS FOR MULTI-POINT BVPS OF DIFFERENTIAL EQUATIONS

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details!

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

Vanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:

Convergence of the Neumann series in higher norms

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

Some Basic Information about M-S-D Systems

Seminar 4: Hotelling 2

ME 391 Mechanical Engineering Analysis

Concourse Math Spring 2012 Worked Examples: Matrix Methods for Solving Systems of 1st Order Linear Differential Equations

Final Spring 2007

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

arxiv:math/ v1 [math.nt] 3 Nov 2005

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Average Number of Lattice Points in a Disk

Logarithms Practice Exam - ANSWERS

GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS

Echocardiography Project and Finite Fourier Series

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem.

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind

arxiv: v1 [math.ca] 15 Nov 2016

Math 527 Lecture 6: Hamilton-Jacobi Equation: Explicit Formulas

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore

GENERALIZATION OF THE FORMULA OF FAA DI BRUNO FOR A COMPOSITE FUNCTION WITH A VECTOR ARGUMENT

m j 2 m j t + +D t u j t

A Note on Superlinear Ambrosetti-Prodi Type Problem in a Ball

Solutions from Chapter 9.1 and 9.2

Second Order Linear Differential Equations

Math 23 Spring Differential Equations. Final Exam Due Date: Tuesday, June 6, 5pm

Undetermined coefficients for local fractional differential equations

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Transcription:

ON THE DEGREES OF RATIONAL KNOTS DONOVAN MCFERON, ALEXANDRA ZUSER Absrac. In his paper, we explore he issue of minimizing he degrees on raional knos. We se a bound on hese degrees using Bézou s heorem, define minimal degree sequences for raional funcions, and explore he degree sequences of he refoil and figure-eigh knos. This research was conduced a he Moun Holyoke College REU program during he summer of 00. Special hanks go ou o our advisors, Alan Durfee and Donal O Shea, and he oher members of our research group, David Clark, Virginia Peerson and Craig Phillips.. Inroducion Obaining raional parameerizaions of knos, wheher by convering polynomial [5, 6] or rigonomeric [] parameerizaions o raional ones or by consrucing raional parameerizaions from scrach [4, 6], yields funcions wih very high degrees on he polynomials in he numeraor and denominaor. In many cases, hese degrees can be reduced o as lile as one fourh of heir original size. This phenomenon leads o he quesion, wha are he minimum degrees wih which a kno ype can be parameerized raionally? Having he minimum degrees of kno ypes would also be useful in rying o classify raional knos according o heir degrees.. Bounds on Raional Knos Based on Degree Le us define he degree of a raional funcion by he following: Definiion.. The Degree of a raional funcion f() = p() q(), where p() and q() are relaively prime polynomials of degree p and degree q is defined o be p q Le α() = (f(x), g(x), h(x)) be a raional funcion and denoe by ( m n, p q, r s ) he degrees of (x(), y(), z()). If α() parameerizes a kno, hen we can find an upper bound on is crossing number by considering he degrees of x(), y() and z(). Theorem.. Le c be he crossing number of a raionally parameerized kno and ( m n, p q, r s ) be he degrees of is componens. Then c (m + n )(p + q ). Proof. Since he crossing number of a kno, c, is he leas number of crossings, or self-inersecions, in any projecion of he kno [, page 67], we can pu an upper bound on c by considering he x y, x z, and y z projecions. Le us firs consider he x y projecion. Wihou loss of generaliy, we can assume ha x() = m +... n +..., Key words and phrases. Raional Knos, Minimal Degree, figure-eigh Knos, Trefoils. This research is suppored by he NSF, gran DMS-9738.

On he Degrees of Raional Knos y() = p +... q +..., where... denoes lower-order erms. A self-inersecion occurs when here exis and such ha and x( ) = x( ), y( ) = y( ). This gives us he equaions m +... n +... = m +... n +... and p +... q +... = p +... q +... for x and y, respecively. By cross-muliplying each of he above equaions and collecing all erms on he lef hand side, we ge a polynomial of he form for x, and a polynomial of he form m n n m +... = 0 p q q p +... = 0 for y. These are polynomials in degree m + n and degree p + q, respecively. = is a soluion o boh of hese equaions, bu an unwaned one. To remove i, we can divide each of hem by o obain m n n m +... = 0 p q q p +... = 0, which are polynomial equaions wih degrees m + n and p + q, respecively. By Bézou s heorem, he number of common soluions is a mos he produc of he degrees of hese wo polynomials, (m + n )(p + q ) [3, page 9]. Since each crossing of he projecion in fac gives wo soluions, he number of crossings is a mos (m + n )(p + q ). To find he lowes number for he bound, we use he projecion wih he lowes degrees, i.e. if (m + n) < (p + q) < (r + s), hen (m + n )(p + q ) < (m + n )(r + s ) < (p + q )(r + s ), which gives c (m + n )(p + q ) as he mos accurae bound. A bound of his ype is useful for choosing a saring poin when rying o deermine he minimal degree sequences of a kno, as we will do in Secions 3, 4, and 5... Example. Le us consider an example where deg(x(), y(), z()) = (,, ). Here, c 4.5, so any kno parameerized by such a funcion would have a mos four crossings. Thus, a raional funcion wih degrees (,, ) can only parameerize an unkno, a refoil or a figure-eigh kno, since hese are he only knos ha have crossing number 4 [7, 6]. Unforunaely, as will be proven in secion??, i is acually impossible o parameerize a refoil or a figure-eigh kno wih degrees as low as (,, ). This means ha he only kno wih degree (,, ) is he unkno, suggesing ha his mehod ses a raher high bound on he crossing number. Making he bound lower and more accurae would be a good goal for fuure research.

On he Degrees of Raional Knos 3 3. The Minimal Degree Sequence of a Compac Raional Parameerizaion Definiion 3.. A riple ( p q, p q, p 3 ) Q 3 is said o be a degree sequence for a kno-ype K if () p i q i i () q q (3) If q i = q i+, hen p i p i+ (4) here exis real raional funcions f(), g(), and h() of degree p q, p q, and p 3 respecively such ha he embedding (f(), g(), h()) represens K. Noe: q i N. Definiion 3.. A degree sequence ( p q, p q, p 3 ) Q 3 is said o be minimal for a kno-ype K if for any oher degree sequence, ( m n, m n, m 3 n 3 ), for K, hen ( p q, p q, p 3 ) ( m n, m n, m 3 n 3 ). Here is he lexicographic ordering in N 6, on he sexuples (q, q,, p, p, p 3 ) and (n, n, n 3, m, m, m 3 ). Example 3.. ( 4, 4, 3 6 ) < ( 4, 3 4, 6 ) Example 3.. ( 4, 3 4, 3 4 ) < ( 4, 4, 6 ) 4. The Minimal Degree Sequence of he Compac Raional Trefoil According o Bézou s heorem, he firs degree sequence ha can produce hree crossings is (, ). The x y projecion of he refoil, (f(), g()), has hree double poins. Tha is, here mus be < < 3 < 4 < 5 < 6 ) such ha: f( i ) = f( i+3 ) g( i ) = g( i+3 ) i =,, 3 In order ha (f(), g(), h()) race ou a refoil, we need h( ) < h( 4 ) ( )h( ) > h( 5 ) h( 3 ) < h( 6 ) So, if he degree sequence (, ) can produce he x y projecion of he refoil, hen i is possible o arrange he 3 double poins on he graphs of f and g. We ask wheher we can choose < < 3 < 4 < 5 < 6 ) on he -axis so ha h saisfies ( ) if h has he following graphs. The firs hree figures and heir reflecions show he only possible forms of a degree raional funcion. I is clear ha his requires four or more monoone regions. Therefore, he refoil canno be consruced using a raional funcion of degree or lower. The fourh figure is he simples graph on which he hree double poins of he refoil can be arranged. I is easy o show ha i canno be formed by a raional funcion of degree or lower. In fac, wih a lile work i can be shown ha 4 is he lowes degree capable of producing such a graph. Therefore, ( 4, 4 ) is he firs possible minimal degree sequence for he x y projecion of he refoil.

4 On he Degrees of Raional Knos. 0. 00 80 60 40 0 0 0 40 60 80 00 Figure. A Degree raional funcion 0. 00 80 60 40 0 0 40 60 80 00 Figure. A Degree raional funcion. 0. 00 80 60 40 0 0 40 60 80 00 Figure 3. A Degree raional funcion.5 0.5 4 0 4 Figure 4. Simples Graph for he Trefoil s Double Poins We define f () and g () as follows: f () = 5 + + + + 3 + 4 g () = 4 + +. + 4 Figure 4 shows he race of (f (), g ()), which is clearly a refoil projecion. I seems ha ( 4, 4, 4 ) is he minimal degree sequence for he refoil. However, an h() of degree 4 has no been found ha will saisfy ( ) for he given x y projecion. So, we can only conclude ha he minimal degree sequence for he compac raional refoil is greaer han ( 4, 4, 4 ).

On he Degrees of Raional Knos 5.5 0.5 0 0.5.5 Figure 5. Trace of (f (), g ()) On he oher hand, le us show ha i is possible o parameerize a refoil by a ( 3 4, 3 4, 3 4 ) degree sequence. This will give us an upper bound on he minimal degree sequence for a refoil. Le ψ : C C 3 be defined by: g () = h () = f () = 3 3 + 4 ( +.53)( +.04)( ) 00 + 4 ( +.8)(.)(.8) 0 + 4 0. 0.05 0.5 0.5 0 0.05 0. 0.5 Figure 6. x y projecion of (f (), g (), h ()) A series of Reidemeiser moves can ransform his refoil ino one ha resembles he sandard refoil. We conclude ha he minimal degree sequence of he compac raional refoil is greaer han or equal o ( 4, 4, 4 ) and less han or equal o ( 3 4, 3 4, 3 4 ). 5. The Minimal Degree Sequence of he Compac Raional figure-eigh Kno According o Bézou s heorem, he firs degree sequence ha can produce four crossings is (, ). However, i seems inuiive ha he minimal degree sequence for he figure-eigh kno would be greaer han or equal o ha of he refoil. In order ha (f(), g(), h()) race ou a figure-eigh kno, we need

6 On he Degrees of Raional Knos h( ) < h( 6 ) ( )h( ) > h( 5 ) h( 3 ) < h( 8 ) h( 4 ) < h( 7 ). Therefore, he firs possible degree sequence for he figure-eigh is he same as he refoil, ( 4, 4, 4 ). Unforunaely, we canno deermine wheher one can parameerize he figureeigh kno wih a ( 4, 4, 4 ) degree sequence. However, an upper bound for he degree sequence has been deermined. I is possible o parameerize he figure-eigh kno by a ( 3 4, 3 4, 3 4 ) degree sequence. Le ψ 3 : C C 3 be defined by: g 3 () = f 3 () = 3 3 + 50 + 4 ( +.83)(.4)(.65). + 4 ( + )(.3)(.65) h 3 () = + 4 Once again, a series of Reidemeiser moves can ransform his figure-eigh kno ino one ha resembles he sandard one.. 0. 0.5 0. 0.05 0 0.05 0. 0.5 Figure 7. XZ projecion of (f 3 (), g 3 (), h 3 ()) We conclude ha he minimal degree sequence of he compac raional figureeigh is greaer han or equal o ( 4, 4, 4 ) and less han or equal o ( 3 4, 3 4, 3 4 ). 6. Conjecures The minimal degree sequence of he compac raional refoil is ( 4, 4, 4 ), The minimal degree sequence of he compac raional figure-eigh is sricly less han ( 3 4, 3 4, 3 4 ), There exiss a condiion sronger han Bézou s heorem for reducing degree sequences for a kno wih n crossings.

On he Degrees of Raional Knos 7 References [] C. Adams, The Kno Book, W.H. Freeman and Company, New York, 994. [], D. Clark, Transforming Trigonomeric Kno Parameerizaions Ino Raional Kno Parameerizaions, Moun Holyoke REU, 00. [3] D. Cox, J. Lile, D. O Shea, Using Algebraic Geomery, Springer-Verlag, New York, 998. [4] D. McFeron, Algorihm For Consrusing Compac Raional Parameerizaions, Moun Holyoke REU, 00. [5] V. Peerson, Mirror Images of Knos, Moun Holyoke REU, 00. [6] C. Phillips, Three Mehods of Consrucing Raional Represenaions of Knos, Moun Holyoke REU, 00. [7] P. Tai, On Knos, XXVIII, Transacions of he Royal Sociey of Edinburgh, Edinburgh, 879, 45-9. Donovan McFeron: Universiy of Nore Dame, Souh Bend IN, 46556. Zuser: Marlboro College, Marlboro VT, 05344 E-mail address: dmcferon@nd.edu, az@marlboro.edu Alexandra