Lecture 1: Explicit, Implicit and Parametric Equations
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Parametric Surfaces and 16.6 Their Areas Parametric Surfaces
Parametric Surfaces and 16.6 Their Areas Parametric Surfaces 2 Parametric Surfaces Similarly to describing a space curve by a vector function r(t) of a single parameter t, a surface can be expressed by a vector function r(u, v) of two parameters u and v. Suppose r(u, v) = x(u, v)i + y(u, v)j + z(u, v)k is a vector-valued function defined on a region D in the uv-plane. So x, y, and, z, the component functions of r, are functions of the two variables u and v with domain D. The set of all points (x, y, z) in R3 s.t. x = x(u, v), y = y(u, v), z = z(u, v) and (u, v) varies throughout D, is called a parametric surface S. Typical surfaces: Cylinders, spheres, quadric surfaces, etc. 3 Example 3 – Important From Book The vector equation of a plane through (x0, y0, z0) and containing vectors is rather 4 Example – Point on Surface? Does the point (2, 3, 3) lie on the given surface? How about (1, 2, 1)? 5 Example – Identify the Surface Identify the surface with the given vector equation. 6 Example – Identify the Surface Identify the surface with the given vector equation. 7 Example – Find a Parametric Equation The part of the hyperboloid –x2 – y2 + z = 1 that lies below the rectangle [–1, 1] X [–3, 3]. 8 Example – Find a Parametric Equation The part of the cylinder x2 + z2 = 1 that lies between the planes y = 1 and y = 3. 9 Example – Find a Parametric Equation Part of the plane z = 5 that lies inside the cylinder x2 + y2 = 16. -
Efficient Rasterization of Implicit Functions
Efficient Rasterization of Implicit Functions Torsten Möller and Roni Yagel Department of Computer and Information Science The Ohio State University Columbus, Ohio {moeller, yagel}@cis.ohio-state.edu Abstract Implicit curves are widely used in computer graphics because of their powerful fea- tures for modeling and their ability for general function description. The most pop- ular rasterization techniques for implicit curves are space subdivision and curve tracking. In this paper we are introducing an efficient curve tracking algorithm that is also more robust then existing methods. We employ the Predictor-Corrector Method on the implicit function to get a very accurate curve approximation in a short time. Speedup is achieved by adapting the step size to the curvature. In addi- tion, we provide mechanisms to detect and properly handle bifurcation points, where the curve intersects itself. Finally, the algorithm allows the user to trade-off accuracy for speed and vice a versa. We conclude by providing examples that dem- onstrate the capabilities of our algorithm. 1. Introduction Implicit surfaces are surfaces that are defined by implicit functions. An implicit functionf is a map- ping from an n dimensional spaceRn to the spaceR , described by an expression in which all vari- ables appear on one side of the equation. This is a very general way of describing a mapping. An n dimensional implicit surfaceSpR is defined by all the points inn such that the implicit mapping f projectspS to 0. More formally, one can describe by n Sf = {}pp R, fp()= 0 . (1) 2 Often times, one is interested in visualizing isosurfaces (or isocontours for 2D functions) which are functions of the formf ()p = c for some constant c. -
Multivariable and Vector Calculus
Multivariable and Vector Calculus Lecture Notes for MATH 0200 (Spring 2015) Frederick Tsz-Ho Fong Department of Mathematics Brown University Contents 1 Three-Dimensional Space ....................................5 1.1 Rectangular Coordinates in R3 5 1.2 Dot Product7 1.3 Cross Product9 1.4 Lines and Planes 11 1.5 Parametric Curves 13 2 Partial Differentiations ....................................... 19 2.1 Functions of Several Variables 19 2.2 Partial Derivatives 22 2.3 Chain Rule 26 2.4 Directional Derivatives 30 2.5 Tangent Planes 34 2.6 Local Extrema 36 2.7 Lagrange’s Multiplier 41 2.8 Optimizations 46 3 Multiple Integrations ........................................ 49 3.1 Double Integrals in Rectangular Coordinates 49 3.2 Fubini’s Theorem for General Regions 53 3.3 Double Integrals in Polar Coordinates 57 3.4 Triple Integrals in Rectangular Coordinates 62 3.5 Triple Integrals in Cylindrical Coordinates 67 3.6 Triple Integrals in Spherical Coordinates 70 4 Vector Calculus ............................................ 75 4.1 Vector Fields on R2 and R3 75 4.2 Line Integrals of Vector Fields 83 4.3 Conservative Vector Fields 88 4.4 Green’s Theorem 98 4.5 Parametric Surfaces 105 4.6 Stokes’ Theorem 120 4.7 Divergence Theorem 127 5 Topics in Physics and Engineering .......................... 133 5.1 Coulomb’s Law 133 5.2 Introduction to Maxwell’s Equations 137 5.3 Heat Diffusion 141 5.4 Dirac Delta Functions 144 1 — Three-Dimensional Space 1.1 Rectangular Coordinates in R3 Throughout the course, we will use an ordered triple (x, y, z) to represent a point in the three dimensional space. -
Math 1300 Section 4.8: Parametric Equations A
MATH 1300 SECTION 4.8: PARAMETRIC EQUATIONS A parametric equation is a collection of equations x = x(t) y = y(t) that gives the variables x and y as functions of a parameter t. Any real number t then corresponds to a point in the xy-plane given by the coordi- nates (x(t); y(t)). If we think about the parameter t as time, then we can interpret t = 0 as the point where we start, and as t increases, the parametric equation traces out a curve in the plane, which we will call a parametric curve. (x(t); y(t)) • The result is that we can \draw" curves just like an Etch-a-sketch! animated parametric circle from wolfram Date: 11/06. 1 4.8 2 Let's consider an example. Suppose we have the following parametric equation: x = cos(t) y = sin(t) We know from the pythagorean theorem that this parametric equation satisfies the relation x2 + y2 = 1 , so we see that as t varies over the real numbers we will trace out the unit circle! Lets look at the curve that is drawn for 0 ≤ t ≤ π. Just picking a few values we can observe that this parametric equation parametrizes the upper semi-circle in a counter clockwise direction. (0; 1) • t x(t) y(t) 0 1 0 p p π 2 2 •(1; 0) 4 2 2 π 2 0 1 π -1 0 Looking at the curve traced out over any interval of time longer that 2π will indeed trace out the entire circle. -
Parametric Curves You Should Know
Parametric Curves You Should Know Straight Lines Let a and c be constants which are not both zero. Then the parametric equations determining the straight line passing through (b; d) with slope c=a (i.e., the line y − d = c=a(x − b)) are: x(t) = at + b ; −∞ < t < 1: y(t) = ct + d Note that when c = 0, the line is horizontal of the form y = d, and when a = 0, the line is vertical of the form x = b. 15 10 x(t)= 2t+ 3, y(t)=t+4 5 x(t)=3-2t, y(t)= 2t+1 �������� x(t)=t+ 2, y(t)=3- 3t x(t)= 3, y(t)=2+ 3t -10 -5 5 10 15 x(t)=2+3t, y(t)=3 -5 -10 Figure 1 A collection of lines whose parametric equations are given as above. Circles Let r > 0 and let x0 and y0 be real numbers. Then the parametric equations determining the circle of radius r centered at (x0; y0) are: x(t) = r cos t + x 0 ; 0 < t < 2π: (1) y(t) = r sin t + y0 To get a circular arc instead of the full circle, restrict the t-values in (1) to t1 < t < t2. 1 1 1 2 3 4 5 2 3 4 5 (3,-1) -1 -1 (3,-1) -2 -2 -3 -3 (a) 0 ≤ t ≤ 2π (b) π=4 ≤ t ≤ 7π=6 Figure 2 The circle x(t) = 2 cos t + 3, y(t) = 2 sin t − 1 and a circular arc thereof. Note that the center is at (3; 1). -
Polynomial Curves and Surfaces
Polynomial Curves and Surfaces Chandrajit Bajaj and Andrew Gillette September 8, 2010 Contents 1 What is an Algebraic Curve or Surface? 2 1.1 Algebraic Curves . .3 1.2 Algebraic Surfaces . .3 2 Singularities and Extreme Points 4 2.1 Singularities and Genus . .4 2.2 Parameterizing with a Pencil of Lines . .6 2.3 Parameterizing with a Pencil of Curves . .7 2.4 Algebraic Space Curves . .8 2.5 Faithful Parameterizations . .9 3 Triangulation and Display 10 4 Polynomial and Power Basis 10 5 Power Series and Puiseux Expansions 11 5.1 Weierstrass Factorization . 11 5.2 Hensel Lifting . 11 6 Derivatives, Tangents, Curvatures 12 6.1 Curvature Computations . 12 6.1.1 Curvature Formulas . 12 6.1.2 Derivation . 13 7 Converting Between Implicit and Parametric Forms 20 7.1 Parameterization of Curves . 21 7.1.1 Parameterizing with lines . 24 7.1.2 Parameterizing with Higher Degree Curves . 26 7.1.3 Parameterization of conic, cubic plane curves . 30 7.2 Parameterization of Algebraic Space Curves . 30 7.3 Automatic Parametrization of Degree 2 Curves and Surfaces . 33 7.3.1 Conics . 34 7.3.2 Rational Fields . 36 7.4 Automatic Parametrization of Degree 3 Curves and Surfaces . 37 7.4.1 Cubics . 38 7.4.2 Cubicoids . 40 7.5 Parameterizations of Real Cubic Surfaces . 42 7.5.1 Real and Rational Points on Cubic Surfaces . 44 7.5.2 Algebraic Reduction . 45 1 7.5.3 Parameterizations without Real Skew Lines . 49 7.5.4 Classification and Straight Lines from Parametric Equations . 52 7.5.5 Parameterization of general algebraic plane curves by A-splines . -
Plotting Circles and Ellipses Parametrically Example 1: the Unit Circle
Lesson 1 Plotting Circles and Ellipses Parametrically Example 1: The Unit Circle Let's compare traditional and parametric equations for the unit circle : Traditional : Parametric : x22 y 1 x(t) cos(t) y(t) sin(t) P(t) cos(t),sin(t) t is called a parameter 0 t 2 You can see that the parametric equation satisfies the traditional equation by substituting one into the other: x22 y 1 (cos(t))22 (sin(t)) 1 11 Created by Christopher Grattoni. All rights reserved. Example 2: Circle of Radius r Let's compare traditional and parametric equations for a circle of radius r centeredTraditional at the : origin : Parametric : 2 2 2 x y r x(t) r cos(t) y(t) r sin(t) P(t) r cos(t),sin(t) 0 t 2 Orientation: Counterclockwise Think of this as dilating the unit circle by a factor of r. Created by Christopher Grattoni. All rights reserved. Example 3: Recentering the Circle Let's compare traditional and parametric equations for a circle of radius r centeredTraditional at (h,k) : : Parametric : 2 2 2 (x h) (y k) r x(t) r cos(t) h y(t) r sin(t) k P(t) r cos(t),sin(t) (h,k) 0 t 2 Think of this as dilating the unit circle by a factor of r and translating by the point (h,k). Let's add the orientation: Created by Christopher Grattoni. All rights reserved. Example 4: Ellipses Let's compare traditional and parametric equations for an ellipse centeredTraditional at (h,k) : : Parametric : 2 2 xh yk x(t) acos(t) h 1 ab y(t) bsin(t) k P(t) acos(t),bsin(t) (h,k) 0 t 2 Think of this as dilating the unit circle by a factor of "a" in the x-direction, a factor of "b" in the y-direction, and translated by the Created by Christopherpoint Grattoni. -
Parametric Curves in the Plane
Parametric Curves in the Plane Purpose The purpose of this lab is to introduce you to curve computations using Maple for para- metric curves and vector-valued functions in the plane. Background By parametric curve in the plane, we mean a pair of equations x = f(t) and y = g(t) for t in some interval I. A vector-valued function in the plane is a function r(t) that associates a vector in the plane with each value of t in its domain. Such a vector valued function can always be written in component form as follows, r(t) = f(t)i + g(t)j where f and g are functions defined on some interval I. From our definition of a para- metric curve, it should be clear that you can always associate a parametric curve with a vector-valued function by just considering the curve traced out by the head of the vector. Defining parametric curves and vector valued functions simply in Maple The easiest way to define a vector function or a parametric curve is to use the Maple list notaion with square brackets[]. Strictly speaking, this does not define something that Maple recognizes as a vector, but it will work with all of the commands you need for this lab. >f:=t->[2*cos(t),2*sin(t)]; You can evaluate this function at any value of t in the usual way. >f(0); This is how to access a single component. You would use f(t)[2] to get the second component. >f(t)[1] Plotting and animating curves in the plane The ParamPlot command is in the CalcP package so you have to load it first. -
Radius-Of-Curvature.Pdf
CHAPTER 5 CURVATURE AND RADIUS OF CURVATURE 5.1 Introduction: Curvature is a numerical measure of bending of the curve. At a particular point on the curve , a tangent can be drawn. Let this line makes an angle Ψ with positive x- axis. Then curvature is defined as the magnitude of rate of change of Ψ with respect to the arc length s. Ψ Curvature at P = It is obvious that smaller circle bends more sharply than larger circle and thus smaller circle has a larger curvature. Radius of curvature is the reciprocal of curvature and it is denoted by ρ. 5.2 Radius of curvature of Cartesian curve: ρ = = (When tangent is parallel to x – axis) ρ = (When tangent is parallel to y – axis) Radius of curvature of parametric curve: ρ = , where and – Example 1 Find the radius of curvature at any pt of the cycloid , – Solution: Page | 1 – and Now ρ = = – = = =2 Example 2 Show that the radius of curvature at any point of the curve ( x = a cos3 , y = a sin3 ) is equal to three times the lenth of the perpendicular from the origin to the tangent. Solution : – – – = – 3a [–2 cos + ] 2 3 = 6 a cos sin – 3a cos = Now = – = Page | 2 = – – = – – = = 3a sin …….(1) The equation of the tangent at any point on the curve is 3 3 y – a sin = – tan (x – a cos ) x sin + y cos – a sin cos = 0 ……..(2) The length of the perpendicular from the origin to the tangent (2) is – p = = a sin cos ……..(3) Hence from (1) & (3), = 3p Example 3 If & ' are the radii of curvature at the extremities of two conjugate diameters of the ellipse = 1 prove that Solution: Parametric equation of the ellipse is x = a cos , y=b sin = – a sin , = b cos = – a cos , = – b sin The radius of curvature at any point of the ellipse is given by = = – – – – – Page | 3 = ……(1) For the radius of curvature at the extremity of other conjugate diameter is obtained by replacing by + in (1). -
Transversal Intersection of Hypersurfaces in R^ 5
TRANSVERSAL INTERSECTION CURVES OF HYPERSURFACES IN R5 a b c d, Mohamd Saleem Lone , O. Al´essio , Mohammad Jamali , Mohammad Hasan Shahid ∗ aCentral University of Jammu, Jammu, 180011, India. bUniversidade Federal do Triangulo˙ Mineiro-UFTM, Uberaba, MG, Brasil cDepartment of Mathematics, Al-Falah University, Haryana, 121004, India dDepartment of Mathematics, Jamia Millia Islamia, New Delhi-110 025, India Abstract In this paper we present the algorithms for calculating the differential geometric properties t,n,b1,b2,b3,κ1,κ2,κ3,κ4 , geodesic curvature and geodesic torsion of the transversal inter- { } section curve of four hypersurfaces (given by parametric representation) in Euclidean space R5. In transversal intersection the normals of the surfaces at the intersection point are linearly inde- pendent, while as in nontransversal intersection the normals of the surfaces at the intersection point are linearly dependent. Keywords: Hypersurfaces, transversal intersection, non-transversal intersection. 1. Introduction The surface-surface intersection problem is a fundamental process needed in modeling shapes in CAD/CAM system. It is useful in the representation of the design of complex ob- jects and animations. The two types of surfaces most used in geometric designing are para- metric and implicit surfaces. For that reason different methods have been given for either parametric-parametric or implicit-implicit surface intersection curves in R3. The numerical marching method is the most widely used method for computing the intersection curves in R3 and R4. The marching method involves generation of sequences of points of an intersection curve in the direction prescribed by the local geometry(Bajaj et al., 1988; Patrikalakis, 1993). arXiv:1601.04252v1 [math.DG] 17 Jan 2016 To compute the intersection curve with precision and efficiency, approaches of superior order are necessary, that is, they are needed to obtain the geometric properties of the intersection curves. -
Math 123: Calculus on Parametric Curves
Math 123: Calculus on Parametric Curves Ryan Blair CSU Long Beach Tuesday April 26, 2016 Ryan Blair (CSULB) Math 123: Calculus on Parametric Curves Tuesday April 26, 2016 1 / 7 Outline 1 Parametric Curves 2 Derivatives of parametric curves Ryan Blair (CSULB) Math 123: Calculus on Parametric Curves Tuesday April 26, 2016 2 / 7 Example: Find the parametric equation for the unit circle in the plane. Example: Find the parametric equation for the portion of the circle of radius R in the 3rd quadrant. Give the terminal point and the initial point. Example: All graphs of functions in can be represented as a parametric curve. Parametric Curves Parametric Curves Curves in the plane that are not graphs of functions can often be represented by parametric curves. Definition A parametric curve in the xy-plane is given by x = f (t) and y = g(t) for t 2 [a; b]. Ryan Blair (CSULB) Math 123: Calculus on Parametric Curves Tuesday April 26, 2016 3 / 7 Example: Find the parametric equation for the portion of the circle of radius R in the 3rd quadrant. Give the terminal point and the initial point. Example: All graphs of functions in can be represented as a parametric curve. Parametric Curves Parametric Curves Curves in the plane that are not graphs of functions can often be represented by parametric curves. Definition A parametric curve in the xy-plane is given by x = f (t) and y = g(t) for t 2 [a; b]. Example: Find the parametric equation for the unit circle in the plane. Ryan Blair (CSULB) Math 123: Calculus on Parametric Curves Tuesday April 26, 2016 3 / 7 Example: All graphs of functions in can be represented as a parametric curve. -
Analytic and Differential Geometry Mikhail G. Katz∗
Analytic and Differential geometry Mikhail G. Katz∗ Department of Mathematics, Bar Ilan University, Ra- mat Gan 52900 Israel Email address: [email protected] ∗Supported by the Israel Science Foundation (grants no. 620/00-10.0 and 84/03). Abstract. We start with analytic geometry and the theory of conic sections. Then we treat the classical topics in differential geometry such as the geodesic equation and Gaussian curvature. Then we prove Gauss’s theorema egregium and introduce the ab- stract viewpoint of modern differential geometry. Contents Chapter1. Analyticgeometry 9 1.1. Circle,sphere,greatcircledistance 9 1.2. Linearalgebra,indexnotation 11 1.3. Einsteinsummationconvention 12 1.4. Symmetric matrices, quadratic forms, polarisation 13 1.5.Matrixasalinearmap 13 1.6. Symmetrisationandantisymmetrisation 14 1.7. Matrixmultiplicationinindexnotation 15 1.8. Two types of indices: summation index and free index 16 1.9. Kroneckerdeltaandtheinversematrix 16 1.10. Vector product 17 1.11. Eigenvalues,symmetry 18 1.12. Euclideaninnerproduct 19 Chapter 2. Eigenvalues of symmetric matrices, conic sections 21 2.1. Findinganeigenvectorofasymmetricmatrix 21 2.2. Traceofproductofmatricesinindexnotation 23 2.3. Inner product spaces and self-adjoint endomorphisms 24 2.4. Orthogonal diagonalisation of symmetric matrices 24 2.5. Classification of conic sections: diagonalisation 26 2.6. Classification of conics: trichotomy, nondegeneracy 28 2.7. Characterisationofparabolas 30 Chapter 3. Quadric surfaces, Hessian, representation of curves 33 3.1. Summary: classificationofquadraticcurves 33 3.2. Quadric surfaces 33 3.3. Case of eigenvalues (+++) or ( ),ellipsoid 34 3.4. Determination of type of quadric−−− surface: explicit example 35 3.5. Case of eigenvalues (++ ) or (+ ),hyperboloid 36 3.6. Case rank(S) = 2; paraboloid,− hyperbolic−− paraboloid 37 3.7.