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Engineering Curves – I
Engineering Curves – I 1. Classification 2. Conic sections - explanation 3. Common Definition 4. Ellipse – ( six methods of construction) 5. Parabola – ( Three methods of construction) 6. Hyperbola – ( Three methods of construction ) 7. Methods of drawing Tangents & Normals ( four cases) Engineering Curves – II 1. Classification 2. Definitions 3. Involutes - (five cases) 4. Cycloid 5. Trochoids – (Superior and Inferior) 6. Epic cycloid and Hypo - cycloid 7. Spiral (Two cases) 8. Helix – on cylinder & on cone 9. Methods of drawing Tangents and Normals (Three cases) ENGINEERING CURVES Part- I {Conic Sections} ELLIPSE PARABOLA HYPERBOLA 1.Concentric Circle Method 1.Rectangle Method 1.Rectangular Hyperbola (coordinates given) 2.Rectangle Method 2 Method of Tangents ( Triangle Method) 2 Rectangular Hyperbola 3.Oblong Method (P-V diagram - Equation given) 3.Basic Locus Method 4.Arcs of Circle Method (Directrix – focus) 3.Basic Locus Method (Directrix – focus) 5.Rhombus Metho 6.Basic Locus Method Methods of Drawing (Directrix – focus) Tangents & Normals To These Curves. CONIC SECTIONS ELLIPSE, PARABOLA AND HYPERBOLA ARE CALLED CONIC SECTIONS BECAUSE THESE CURVES APPEAR ON THE SURFACE OF A CONE WHEN IT IS CUT BY SOME TYPICAL CUTTING PLANES. OBSERVE ILLUSTRATIONS GIVEN BELOW.. Ellipse Section Plane Section Plane Hyperbola Through Generators Parallel to Axis. Section Plane Parallel to end generator. COMMON DEFINATION OF ELLIPSE, PARABOLA & HYPERBOLA: These are the loci of points moving in a plane such that the ratio of it’s distances from a fixed point And a fixed line always remains constant. The Ratio is called ECCENTRICITY. (E) A) For Ellipse E<1 B) For Parabola E=1 C) For Hyperbola E>1 Refer Problem nos. -
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. -
Leibniz's Differential Calculus Applied to the Catenary
Leibniz’s differential calculus applied to the catenary Olivier Keller, agrégé in mathematics, PhD (EHESS) Study of the catenary was a response to a challenge laid down by Jacques Bernoulli, and which was successfully met by Leibniz as well as by Jean Bernoulli and Huygens: to find the curve described by a piece of strung suspended from its two ends. Stimulated by the success of this initial research, Jean Bernoulli put forward and solved similar problems: the form taken by a horizontal blade immobilised on one side, with a weight attached to the other; the form taken by a piece of linen filled with liqueur; the curve of a sail. Challenges among scholars In the 17th century, it was customary for scholars to set each other challenges in alternate issues of journals. Leibniz, for example, challenged the Cartesians – as part of the controversy surrounding the laws of collision, known as the “querelle des forces vives” (vis viva controversy) – to find the curve down which a body falls at constant vertical velocity (isochrone curve). Put forward in the Nouvelle République des Lettres of September 1687, this problem received Huygens’ solution in October of the same year, while Leibniz’s appeared in 1689 in the journal he had created, the Acta Eruditorum. Another famous example is that of the brachistochrone, or the “curve of the fastest descent”, which, thanks to the new differential calculus, proved to be not a circle, as Galileo had believed, but a cycloid: the challenge had been set by Jean Bernoulli in the Acta Eruditorum in June 1696, and was resolved by Leibniz in May 1697. -
Introduction to the Modern Calculus of Variations
MA4G6 Lecture Notes Introduction to the Modern Calculus of Variations Filip Rindler Spring Term 2015 Filip Rindler Mathematics Institute University of Warwick Coventry CV4 7AL United Kingdom [email protected] http://www.warwick.ac.uk/filiprindler Copyright ©2015 Filip Rindler. Version 1.1. Preface These lecture notes, written for the MA4G6 Calculus of Variations course at the University of Warwick, intend to give a modern introduction to the Calculus of Variations. I have tried to cover different aspects of the field and to explain how they fit into the “big picture”. This is not an encyclopedic work; many important results are omitted and sometimes I only present a special case of a more general theorem. I have, however, tried to strike a balance between a pure introduction and a text that can be used for later revision of forgotten material. The presentation is based around a few principles: • The presentation is quite “modern” in that I use several techniques which are perhaps not usually found in an introductory text or that have only recently been developed. • For most results, I try to use “reasonable” assumptions, not necessarily minimal ones. • When presented with a choice of how to prove a result, I have usually preferred the (in my opinion) most conceptually clear approach over more “elementary” ones. For example, I use Young measures in many instances, even though this comes at the expense of a higher initial burden of abstract theory. • Wherever possible, I first present an abstract result for general functionals defined on Banach spaces to illustrate the general structure of a certain result. -
ON the BRACHISTOCHRONE PROBLEM 1. Introduction. The
ON THE BRACHISTOCHRONE PROBLEM OLEG ZUBELEVICH STEKLOV MATHEMATICAL INSTITUTE OF RUSSIAN ACADEMY OF SCIENCES DEPT. OF THEORETICAL MECHANICS, MECHANICS AND MATHEMATICS FACULTY, M. V. LOMONOSOV MOSCOW STATE UNIVERSITY RUSSIA, 119899, MOSCOW, MGU [email protected] Abstract. In this article we consider different generalizations of the Brachistochrone Problem in the context of fundamental con- cepts of classical mechanics. The correct statement for the Brachis- tochrone problem for nonholonomic systems is proposed. It is shown that the Brachistochrone problem is closely related to vako- nomic mechanics. 1. Introduction. The Statement of the Problem The article is organized as follows. Section 3 is independent on other text and contains an auxiliary ma- terial with precise definitions and proofs. This section can be dropped by a reader versed in the Calculus of Variations. Other part of the text is less formal and based on Section 3. The Brachistochrone Problem is one of the classical variational prob- lems that we inherited form the past centuries. This problem was stated by Johann Bernoulli in 1696 and solved almost simultaneously by him and by Christiaan Huygens and Gottfried Wilhelm Leibniz. Since that time the problem was discussed in different aspects nu- merous times. We do not even try to concern this long and celebrated history. 2000 Mathematics Subject Classification. 70G75, 70F25,70F20 , 70H30 ,70H03. Key words and phrases. Brachistochrone, vakonomic mechanics, holonomic sys- tems, nonholonomic systems, Hamilton principle. The research was funded by a grant from the Russian Science Foundation (Project No. 19-71-30012). 1 2 OLEG ZUBELEVICH This article is devoted to comprehension of the Brachistochrone Problem in terms of the modern Lagrangian formalism and to the gen- eralizations which such a comprehension involves. -
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 . -
1 Functions, Derivatives, and Notation 2 Remarks on Leibniz Notation
ORDINARY DIFFERENTIAL EQUATIONS MATH 241 SPRING 2019 LECTURE NOTES M. P. COHEN CARLETON COLLEGE 1 Functions, Derivatives, and Notation A function, informally, is an input-output correspondence between values in a domain or input space, and values in a codomain or output space. When studying a particular function in this course, our domain will always be either a subset of the set of all real numbers, always denoted R, or a subset of n-dimensional Euclidean space, always denoted Rn. Formally, Rn is the set of all ordered n-tuples (x1; x2; :::; xn) where each of x1; x2; :::; xn is a real number. Our codomain will always be R, i.e. our functions under consideration will be real-valued. We will typically functions in two ways. If we wish to highlight the variable or input parameter, we will write a function using first a letter which represents the function, followed by one or more letters in parentheses which represent input variables. For example, we write f(x) or y(t) or F (x; y). In the first two examples above, we implicitly assume that the variables x and t vary over all possible inputs in the domain R, while in the third example we assume (x; y)p varies over all possible inputs in the domain R2. For some specific examples of functions, e.g. f(x) = x − 5, we assume that the domain includesp only real numbers x for which it makes sense to plug x into the formula, i.e., the domain of f(x) = x − 5 is just the interval [5; 1). -
Lecture 1: Explicit, Implicit and Parametric Equations
4.0 3.5 f(x+h) 3.0 Q 2.5 2.0 Lecture 1: 1.5 Explicit, Implicit and 1.0 Parametric Equations 0.5 f(x) P -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.5 1.0 1.5 2.0 2.5 3.0 3.5 x x+h -0.5 -1.0 Chapter 1 – Functions and Equations Chapter 1: Functions and Equations LECTURE TOPIC 0 GEOMETRY EXPRESSIONS™ WARM-UP 1 EXPLICIT, IMPLICIT AND PARAMETRIC EQUATIONS 2 A SHORT ATLAS OF CURVES 3 SYSTEMS OF EQUATIONS 4 INVERTIBILITY, UNIQUENESS AND CLOSURE Lecture 1 – Explicit, Implicit and Parametric Equations 2 Learning Calculus with Geometry Expressions™ Calculus Inspiration Louis Eric Wasserman used a novel approach for attacking the Clay Math Prize of P vs. NP. He examined problem complexity. Louis calculated the least number of gates needed to compute explicit functions using only AND and OR, the basic atoms of computation. He produced a characterization of P, a class of problems that can be solved in by computer in polynomial time. He also likes ultimate Frisbee™. 3 Chapter 1 – Functions and Equations EXPLICIT FUNCTIONS Mathematicians like Louis use the term “explicit function” to express the idea that we have one dependent variable on the left-hand side of an equation, and all the independent variables and constants on the right-hand side of the equation. For example, the equation of a line is: Where m is the slope and b is the y-intercept. Explicit functions GENERATE y values from x values. -
The Cycloid: Tangents, Velocity Vector, Area, and Arc Length
The Cycloid: Tangents, Velocity Vector, Area, and Arc Length [This is Chapter 2, section 13 of Historical Perspectives for the Reform of Mathematics Curriculum: Geometric Curve Drawing Devices and their Role in the Transition to an Algebraic Description of Functions; http://www.quadrivium.info/mathhistory/CurveDrawingDevices.pdf Interactive applets for the figures can also be found at Mathematical Intentions.] The circle is the curve with which we all have the most experience. It is an ancient symbol and a cultural icon in most human societies. It is also the one curve whose area, tangents, and arclengths are discussed in our mathematics curriculum without the use of calculus, and indeed long before students approach calculus. This discussion can take place, because most people have a lot of experience with circles, and know several ways to generate them. Pascal thought that, second only to the circle, the curve that he saw most in daily life was the cycloid (Bishop, 1936). Perhaps the large and slowly moving carriage wheels of the seventeenth century were more easily observed than those of our modern automobile, but the cycloid is still a curve that is readily generated and one in which many students of all ages easily take an interest. In a variety of settings, when I have mentioned, for example, the path of an ant riding on the side of a bicycle tire, some immediate interest has been sparked (see Figure 2.13a). Figure 2.13a The cycloid played an important role in the thinking of the seventeenth century. It was used in architecture and engineering (e.g.