Bonnet's Theorem and Variations of Arc Length
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Polar Coordinates, Arc Length and the Lemniscate Curve
Ursinus College Digital Commons @ Ursinus College Transforming Instruction in Undergraduate Calculus Mathematics via Primary Historical Sources (TRIUMPHS) Summer 2018 Gaussian Guesswork: Polar Coordinates, Arc Length and the Lemniscate Curve Janet Heine Barnett Colorado State University-Pueblo, [email protected] Follow this and additional works at: https://digitalcommons.ursinus.edu/triumphs_calculus Click here to let us know how access to this document benefits ou.y Recommended Citation Barnett, Janet Heine, "Gaussian Guesswork: Polar Coordinates, Arc Length and the Lemniscate Curve" (2018). Calculus. 3. https://digitalcommons.ursinus.edu/triumphs_calculus/3 This Course Materials is brought to you for free and open access by the Transforming Instruction in Undergraduate Mathematics via Primary Historical Sources (TRIUMPHS) at Digital Commons @ Ursinus College. It has been accepted for inclusion in Calculus by an authorized administrator of Digital Commons @ Ursinus College. For more information, please contact [email protected]. Gaussian Guesswork: Polar Coordinates, Arc Length and the Lemniscate Curve Janet Heine Barnett∗ October 26, 2020 Just prior to his 19th birthday, the mathematical genius Carl Freidrich Gauss (1777{1855) began a \mathematical diary" in which he recorded his mathematical discoveries for nearly 20 years. Among these discoveries is the existence of a beautiful relationship between three particular numbers: • the ratio of the circumference of a circle to its diameter, or π; Z 1 dx • a specific value of a certain (elliptic1) integral, which Gauss denoted2 by $ = 2 p ; and 4 0 1 − x p p • a number called \the arithmetic-geometric mean" of 1 and 2, which he denoted as M( 2; 1). Like many of his discoveries, Gauss uncovered this particular relationship through a combination of the use of analogy and the examination of computational data, a practice that historian Adrian Rice called \Gaussian Guesswork" in his Math Horizons article subtitled \Why 1:19814023473559220744 ::: is such a beautiful number" [Rice, November 2009]. -
MAT 362 at Stony Brook, Spring 2011
MAT 362 Differential Geometry, Spring 2011 Instructors' contact information Course information Take-home exam Take-home final exam, due Thursday, May 19, at 2:15 PM. Please read the directions carefully. Handouts Overview of final projects pdf Notes on differentials of C1 maps pdf tex Notes on dual spaces and the spectral theorem pdf tex Notes on solutions to initial value problems pdf tex Topics and homework assignments Assigned homework problems may change up until a week before their due date. Assignments are taken from texts by Banchoff and Lovett (B&L) and Shifrin (S), unless otherwise noted. Topics and assignments through spring break (April 24) Solutions to first exam Solutions to second exam Solutions to third exam April 26-28: Parallel transport, geodesics. Read B&L 8.1-8.2; S2.4. Homework due Tuesday May 3: B&L 8.1.4, 8.2.10 S2.4: 1, 2, 4, 6, 11, 15, 20 Bonus: Figure out what map projection is used in the graphic here. (A Facebook account is not needed.) May 3-5: Local and global Gauss-Bonnet theorem. Read B&L 8.4; S3.1. Homework due Tuesday May 10: B&L: 8.1.8, 8.4.5, 8.4.6 S3.1: 2, 4, 5, 8, 9 Project assignment: Submit final version of paper electronically to me BY FRIDAY MAY 13. May 10: Hyperbolic geometry. Read B&L 8.5; S3.2. No homework this week. Third exam: May 12 (in class) Take-home exam: due May 19 (at presentation of final projects) Instructors for MAT 362 Differential Geometry, Spring 2011 Joshua Bowman (main instructor) Office: Math Tower 3-114 Office hours: Monday 4:00-5:00, Friday 9:30-10:30 Email: joshua dot bowman at gmail dot com Lloyd Smith (grader Feb. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
NOTES Reconsidering Leibniz's Analytic Solution of the Catenary
NOTES Reconsidering Leibniz's Analytic Solution of the Catenary Problem: The Letter to Rudolph von Bodenhausen of August 1691 Mike Raugh January 23, 2017 Leibniz published his solution of the catenary problem as a classical ruler-and-compass con- struction in the June 1691 issue of Acta Eruditorum, without comment about the analysis used to derive it.1 However, in a private letter to Rudolph Christian von Bodenhausen later in the same year he explained his analysis.2 Here I take up Leibniz's argument at a crucial point in the letter to show that a simple observation leads easily and much more quickly to the solution than the path followed by Leibniz. The argument up to the crucial point affords a showcase in the techniques of Leibniz's calculus, so I take advantage of the opportunity to discuss it in the Appendix. Leibniz begins by deriving a differential equation for the catenary, which in our modern orientation of an x − y coordinate system would be written as, dy n Z p = (n = dx2 + dy2); (1) dx a where (x; z) represents cartesian coordinates for a point on the catenary, n is the arc length from that point to the lowest point, the fraction on the left is a ratio of differentials, and a is a constant representing unity used throughout the derivation to maintain homogeneity.3 The equation characterizes the catenary, but to solve it n must be eliminated. 1Leibniz, Gottfried Wilhelm, \De linea in quam flexile se pondere curvat" in Die Mathematischen Zeitschriftenartikel, Chap 15, pp 115{124, (German translation and comments by Hess und Babin), Georg Olms Verlag, 2011. -
The Arc Length of a Random Lemniscate
The arc length of a random lemniscate Erik Lundberg, Florida Atlantic University joint work with Koushik Ramachandran [email protected] SEAM 2017 Random lemniscates Topic of my talk last year at SEAM: Random rational lemniscates on the sphere. Topic of my talk today: Random polynomial lemniscates in the plane. Polynomial lemniscates: three guises I Complex Analysis: pre-image of unit circle under polynomial map jp(z)j = 1 I Potential Theory: level set of logarithmic potential log jp(z)j = 0 I Algebraic Geometry: special real-algebraic curve p(x + iy)p(x + iy) − 1 = 0 Polynomial lemniscates: three guises I Complex Analysis: pre-image of unit circle under polynomial map jp(z)j = 1 I Potential Theory: level set of logarithmic potential log jp(z)j = 0 I Algebraic Geometry: special real-algebraic curve p(x + iy)p(x + iy) − 1 = 0 Polynomial lemniscates: three guises I Complex Analysis: pre-image of unit circle under polynomial map jp(z)j = 1 I Potential Theory: level set of logarithmic potential log jp(z)j = 0 I Algebraic Geometry: special real-algebraic curve p(x + iy)p(x + iy) − 1 = 0 Prevalence of lemniscates I Approximation theory: Hilbert's lemniscate theorem I Conformal mapping: Bell representation of n-connected domains I Holomorphic dynamics: Mandelbrot and Julia lemniscates I Numerical analysis: Arnoldi lemniscates I 2-D shapes: proper lemniscates and conformal welding I Harmonic mapping: critical sets of complex harmonic polynomials I Gravitational lensing: critical sets of lensing maps Prevalence of lemniscates I Approximation theory: -
Basics of the Differential Geometry of Surfaces
Chapter 20 Basics of the Differential Geometry of Surfaces 20.1 Introduction The purpose of this chapter is to introduce the reader to some elementary concepts of the differential geometry of surfaces. Our goal is rather modest: We simply want to introduce the concepts needed to understand the notion of Gaussian curvature, mean curvature, principal curvatures, and geodesic lines. Almost all of the material presented in this chapter is based on lectures given by Eugenio Calabi in an upper undergraduate differential geometry course offered in the fall of 1994. Most of the topics covered in this course have been included, except a presentation of the global Gauss–Bonnet–Hopf theorem, some material on special coordinate systems, and Hilbert’s theorem on surfaces of constant negative curvature. What is a surface? A precise answer cannot really be given without introducing the concept of a manifold. An informal answer is to say that a surface is a set of points in R3 such that for every point p on the surface there is a small (perhaps very small) neighborhood U of p that is continuously deformable into a little flat open disk. Thus, a surface should really have some topology. Also,locally,unlessthe point p is “singular,” the surface looks like a plane. Properties of surfaces can be classified into local properties and global prop- erties.Intheolderliterature,thestudyoflocalpropertieswascalled geometry in the small,andthestudyofglobalpropertieswascalledgeometry in the large.Lo- cal properties are the properties that hold in a small neighborhood of a point on a surface. Curvature is a local property. Local properties canbestudiedmoreconve- niently by assuming that the surface is parametrized locally. -
Discrete and Smooth Curves Differential Geometry for Computer Science (Spring 2013), Stanford University Due Monday, April 15, in Class
Homework 1: Discrete and Smooth Curves Differential Geometry for Computer Science (Spring 2013), Stanford University Due Monday, April 15, in class This is the first homework assignment for CS 468. We will have assignments approximately every two weeks. Check the course website for assignment materials and the late policy. Although you may discuss problems with your peers in CS 468, your homework is expected to be your own work. Problem 1 (20 points). Consider the parametrized curve g(s) := a cos(s/L), a sin(s/L), bs/L for s 2 R, where the numbers a, b, L 2 R satisfy a2 + b2 = L2. (a) Show that the parameter s is the arc-length and find an expression for the length of g for s 2 [0, L]. (b) Determine the geodesic curvature vector, geodesic curvature, torsion, normal, and binormal of g. (c) Determine the osculating plane of g. (d) Show that the lines containing the normal N(s) and passing through g(s) meet the z-axis under a constant angle equal to p/2. (e) Show that the tangent lines to g make a constant angle with the z-axis. Problem 2 (10 points). Let g : I ! R3 be a curve parametrized by arc length. Show that the torsion of g is given by ... hg˙ (s) × g¨(s), g(s)i ( ) = − t s 2 jkg(s)j where × is the vector cross product. Problem 3 (20 points). Let g : I ! R3 be a curve and let g˜ : I ! R3 be the reparametrization of g defined by g˜ := g ◦ f where f : I ! I is a diffeomorphism. -
Superellipse (Lamé Curve)
6 Superellipse (Lamé curve) 6.1 Equations of a superellipse A superellipse (horizontally long) is expressed as follows. Implicit Equation x n y n + = 10<b a , n > 0 (1.1) a b Explicit Equation 1 n x n y = b 1 - 0<b a , n > 0 (1.1') a When a =3, b=2 , the superellipses for n = 9.9 , 2, 1 and 2/3 are drawn as follows. Fig1 These are called an ellipse when n= 2, are called a diamond when n = 1, and are called an asteroid when n = 2/3. These are known well. parametric representation of an ellipse In order to ask for the area and the arc length of a super-ellipse, it is necessary to calculus the equations. However, it is difficult for (1.1) and (1.1'). Then, in order to make these easy, parametric representation of (1.1) is often used. As far as the 1st quadrant, (1.1) is as follows . xn yn 0xa + = 1 a n b n 0yb Let us compare this with the following trigonometric equation. sin 2 + cos 2 = 1 Then, we obtain xn yn = sin 2 , = cos 2 a n b n i.e. - 1 - 2 2 x = a sin n ,y = bcos n The variable and the domain are changed as follows. x: 0a : 0/2 By this representation, the area and the arc length of a superellipse can be calculated clockwise from the y-axis. cf. If we represent this as usual as follows, 2 2 x = a cos n ,y = bsin n the area and the arc length of a superellipse can be calculated counterclockwise from the x-axis. -
Arc Length and Curvature
Arc Length and Curvature For a ‘smooth’ parametric curve: xftygt= (), ==() and zht() for atb≤≤ OR for a ‘smooth’ vector function: rijk()tftgtht= ()++ () () for atb≤≤ the arc length of the curve for the t values atb≤ ≤ is defined as the integral b 222 ('())('())('())f tgthtdt++ ∫ a b For vector functions, the integrand can be simplified this way: r'(tdt ) ∫a Ex) Find the arc length along the curve rjk()tt= (cos())33+ (sin()) t for 0/2≤ t ≤π . Unit Tangent and Unit Normal Vectors r'(t ) Unit Tangent Vector Æ T()t = r'(t ) T'(t ) Unit Normal Vector Æ N()t = (can be a lengthy calculation) T'(t ) The unit normal vector is designed to be perpendicular to the unit tangent vector AND it points ‘into the turn’ along a vector curve’s path. 2 Ex) For the vector function rij()tt=++− (2 3) (5 t ), find T()t and N()t . (this blank page was NOT a mistake ... we’ll need it) Ex) Graph the vector function rij()tt= (2++− 3) (5 t2 ) and its unit tangent and unit normal vectors at t = 1. Curvature Curvature, denoted by the Greek letter ‘ κ ’ (kappa) measures the rate at which the ‘tilt’ of the unit tangent vector is changing with respect to the arc length. The derivation of the curvature formula is a rather lengthy one, so I will leave it out. Curvature for a vector function r()t rr'(tt )× ''( ) Æ κ= r'(t ) 3 Curvature for a scalar function yfx= () fx''( ) Æ κ= (This numerator represents absolute value, not vector magnitude.) (1+ (fx '( ))23/2 ) YOU WILL BE GIVEN THESE FORMULAS ON THE TEST!! NO NEED TO MEMORIZE!! One visualization of curvature comes from using osculating circles. -
Geometry and Entropies in a Fixed Conformal Class on Surfaces
GEOMETRY AND ENTROPIES IN A FIXED CONFORMAL CLASS ON SURFACES THOMAS BARTHELME´ AND ALENA ERCHENKO Abstract. We show the flexibility of the metric entropy and obtain additional restrictions on the topological entropy of geodesic flow on closed surfaces of negative Euler characteristic with smooth non-positively curved Riemannian metrics with fixed total area in a fixed conformal class. Moreover, we obtain a collar lemma, a thick-thin decomposition, and precompactness for the considered class of metrics. Also, we extend some of the results to metrics of fixed total area in a fixed conformal class with no focal points and with some integral bounds on the positive part of the Gaussian curvature. 1. Introduction When M is a fixed surface, there has been a long history of studying how the geometric or dynamical data (e.g., the Laplace spectrum, systole, entropies or Lyapunov exponents of the geodesic flow) varies when one varies the metric on M, possibly inside a particular class. In [BE20], we studied these questions in a class of metrics that seemed to have been overlooked: the family of non-positively curved metrics within a fixed conformal class. In this article, we prove several conjectures made in [BE20], as well as give a fairly complete, albeit coarse, picture of the geometry of non-positively curved metrics within a fixed conformal class. Since Gromov’s famous systolic inequality [Gro83], there has been a lot of interest in upper bounds on the systole (see for instance [Gut10]). In general, there is no positive lower bound on the systole. However, we prove here that non-positively curved metrics in a fixed conformal class do admit such a lower bound. -
On the Quantization Problem in Curved Space
Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2012 On the Quantization Problem in Curved Space Benjamin Bernard Wright State University Follow this and additional works at: https://corescholar.libraries.wright.edu/etd_all Part of the Physics Commons Repository Citation Bernard, Benjamin, "On the Quantization Problem in Curved Space" (2012). Browse all Theses and Dissertations. 1094. https://corescholar.libraries.wright.edu/etd_all/1094 This Thesis is brought to you for free and open access by the Theses and Dissertations at CORE Scholar. It has been accepted for inclusion in Browse all Theses and Dissertations by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. ON THE QUANTIZATION PROBLEM IN CURVED SPACE A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by BENJAMIN JOSEPH BERNARD B.S., University of Cincinnati, 1999 2012 Wright State University WRIGHT STATE UNIVERSITY GRADUATE SCHOOL July 3, 2012 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY Benjamin Joseph Bernard ENTITLED On the Quantization Problem in Curved Space BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science. Lok C. Lew Yan Voon, Ph.D., Thesis Director Doug Petkie, Ph.D. Chair, Department of Physics Committee on Final Examination Lok C. Lew Yan Voon, Ph.D. Morten Willatzen, Ph.D. Gary Farlow, Ph.D. Andrew Hsu, Ph.D. Dean, Graduate School ABSTRACT Bernard, Benjamin Joseph. M.S., Department of Physics, Wright State Univer- sity, 2012. On the Quantization Problem in Curved Space The nonrelativistic quantum mechanics of particles constrained to curved surfaces is studied. -
Arxiv:1707.09532V1 [Math.DG] 29 Jul 2017
TRACTORS AND TRACTRICES IN RIEMANNIAN MANIFOLDS JESPER J. MADSEN AND STEEN MARKVORSEN Abstract. We generalize the notion of planar bicycle tracks { a.k.a. one-trailer systems { to so-called tractor/tractrix systems in general Riemannian manifolds and prove explicit expressions for the length of the ensuing tractrices and for the area of the do- mains that are swept out by any given tractor/tractrix system. These expressions are sensitive to the curvatures of the ambient Riemannian manifold, and we prove explicit estimates for them based on Rauch's and Toponogov's comparison theorems. More- over, the general length shortening property of tractor/tractrix sys- tems is used to generate geodesics in homotopy classes of curves in the ambient manifold. 1. Introduction The classical tractrix curve appears in virtually every textbook on differential geometry of curves and surfaces { see e.g. [6], [16], [31, p. 239], [21, p. 67], and figure 9 below. The tractrix has a long and fasci- nating history beginning with works of Huygens, Leibniz, Newton, and Euler, see [3]. Not to mention the celebrated watch track experiment by Claude Perrault, long before the invention of the bicycle { see [12], [7], [11]. We quote from [3, p. 1065]:\At a meeting in Paris in 1693 Claude Perrault laid his watch on the table, with the long chain drawn out in a straight line ([4, vol. 3]). He showed that when he moved the end of the chain along a straight line, keeping the chain taut, the watch was dragged along a certain curve. This was one of the early demonstra- tions of the tractrix." arXiv:1707.09532v1 [math.DG] 29 Jul 2017 Moreover, this classical tractrix gives rise to interesting classical sur- faces as well: When rotated around the axis along which the tractrix is pulled, any regular segment of the tractrix curve generates a pseudo- sphere of constant negative Gauss curvature, and the involute of the full classical tractrix curve, including its cusp singularity, is a catenary, which itself, when rotated around the axis, generates a catenoid, i.e.