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Leibniz's Rule and Fubini's Theorem Associated with Hahn Difference
View metadata, citation and similar papers at core.ac.uk brought to you by CORE I S S N 2provided 3 4 7 -by1921 KHALSA PUBLICATIONS Volume 12 Number 06 J o u r n a l of Advances in Mathematics Leibniz’s rule and Fubini’s theorem associated with Hahn difference operators å Alaa E. Hamza † , S. D. Makharesh † † Jeddah University, Department of Mathematics, Saudi, Arabia † Cairo University, Department of Mathematics, Giza, Egypt E-mail: [email protected] å † Cairo University, Department of Mathematics, Giza, Egypt E-mail: [email protected] ABSTRACT In 1945 , Wolfgang Hahn introduced his difference operator Dq, , which is defined by f (qt ) f (t) D f (t) = , t , q, (qt ) t 0 where = with 0 < q <1, > 0. In this paper, we establish Leibniz’s rule and Fubini’s theorem associated with 0 1 q this Hahn difference operator. Keywords. q, -difference operator; q, –Integral; q, –Leibniz Rule; q, –Fubini’s Theorem. 1Introduction The Hahn difference operator is defined by f (qt ) f (t) D f (t) = , t , (1) q, (qt ) t 0 where q(0,1) and > 0 are fixed, see [2]. This operator unifies and generalizes two well known difference operators. The first is the Jackson q -difference operator which is defined by f (qt) f (t) D f (t) = , t 0, (2) q qt t see [3, 4, 5, 6]. The second difference operator which Hahn’s operator generalizes is the forward difference operator f (t ) f (t) f (t) = , t R, (3) (t ) t where is a fixed positive number, see [9, 10, 13, 14]. -
Lesson 19: Equations for Tangent Lines to Circles
NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 19 M5 GEOMETRY Lesson 19: Equations for Tangent Lines to Circles Student Outcomes . Given a circle, students find the equations of two lines tangent to the circle with specified slopes. Given a circle and a point outside the circle, students find the equation of the line tangent to the circle from that point. Lesson Notes This lesson builds on the understanding of equations of circles in Lessons 17 and 18 and on the understanding of tangent lines developed in Lesson 11. Further, the work in this lesson relies on knowledge from Module 4 related to G-GPE.B.4 and G-GPE.B.5. Specifically, students must be able to show that a particular point lies on a circle, compute the slope of a line, and derive the equation of a line that is perpendicular to a radius. The goal is for students to understand how to find equations for both lines with the same slope tangent to a given circle and to find the equation for a line tangent to a given circle from a point outside the circle. Classwork Opening Exercise (5 minutes) Students are guided to determine the equation of a line perpendicular to a chord of a given circle. Opening Exercise A circle of radius ퟓ passes through points 푨(−ퟑ, ퟑ) and 푩(ퟑ, ퟏ). a. What is the special name for segment 푨푩? Segment 푨푩 is called a chord. b. How many circles can be drawn that meet the given criteria? Explain how you know. Scaffolding: Two circles of radius ퟓ pass through points 푨 and 푩. -
Eureka Math Geometry Modules 3, 4, 5
FL State Adoption Bid #3704 Student Edition Eureka Math Geometry Modules 3,4, 5 Special thanks go to the GordRn A. Cain Center and to the Department of Mathematics at Louisiana State University for their support in the development of Eureka Math. For a free Eureka Math Teacher Resource Pack, Parent Tip Sheets, and more please visit www.Eureka.tools Published by WKHQRQSURILWGreat Minds Copyright © 2015 Great Minds. No part of this work may be reproduced, sold, or commercialized, in whole or in part, without written permission from Great Minds. Non-commercial use is licensed pursuant to a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license; for more information, go to http://greatminds.net/maps/math/copyright. “Great Minds” and “Eureka Math” are registered trademarks of Great Minds. Printed in the U.S.A. This book may be purchased from the publisher at eureka-math.org 10 9 8 7 6 5 4 3 2 1 ISBN 978-1-63255-328-7 ^dKZzK&&hEd/KE^ Lesson 1 M3 GEOMETRY Lesson 1: What Is Area? Classwork Exploratory Challenge 1 a. What is area? b. What is the area of the rectangle below whose side lengths measure ͵ units by ͷ units? ଷ ହ c. What is the area of the ൈ rectangle below? ସ ଷ Lesson 1: What Is Area? S.1 ΞϮϬϭϱ'ƌĞĂƚDŝŶĚƐ͘ĞƵƌĞŬĂͲŵĂƚŚ͘ŽƌŐ 'KͲDϯͲ^ͲϮͲϭ͘ϯ͘ϬͲϭϬ͘ϮϬϭϱ ^dKZzK&&hEd/KE^ Lesson 1 M3 GEOMETRY Exploratory Challenge 2 a. What is the area of the rectangle below whose side lengths measure ξ͵ units by ξʹ units? Use the unit squares on the graph to guide your approximation. -
Lp-Solution to the Random Linear Delay Differential Equation with a Stochastic Forcing Term
mathematics Article Lp-solution to the Random Linear Delay Differential Equation with a Stochastic Forcing Term Juan Carlos Cortés * and Marc Jornet Instituto Universitario de Matemática Multidisciplinar, Building 8G, access C, 2nd floor, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain; [email protected] * Correspondence: [email protected] Received: 25 May 2020; Accepted: 18 June 2020; Published: 20 June 2020 Abstract: This paper aims at extending a previous contribution dealing with the random autonomous-homogeneous linear differential equation with discrete delay t > 0, by adding a random forcing term f (t) that varies with time: x0(t) = ax(t) + bx(t − t) + f (t), t ≥ 0, with initial condition x(t) = g(t), −t ≤ t ≤ 0. The coefficients a and b are assumed to be random variables, while the forcing term f (t) and the initial condition g(t) are stochastic processes on their respective time domains. The equation is regarded in the Lebesgue space Lp of random variables with finite p-th moment. The deterministic solution constructed with the method of steps and the method of variation of constants, which involves the delayed exponential function, is proved to be an Lp-solution, under certain assumptions on the random data. This proof requires the extension of the deterministic Leibniz’s integral rule for differentiation to the random scenario. Finally, we also prove that, when the delay t tends to 0, the random delay equation tends in Lp to a random equation with no delay. Numerical experiments illustrate how our methodology permits determining the main statistics of the solution process, thereby allowing for uncertainty quantification. -
Integral and Differential Structure on the Free C∞-Ring Modality
INTEGRAL AND DIFFERENTIAL STRUCTURE ON THE FREE C1-RING MODALITY Geoffrey CRUTTWELL Jean-Simon Pacaud LEMAY Rory B. B. LUCYSHYN-WRIGHT Resum´ e.´ Les categories´ integrales´ ont et´ e´ recemment´ developp´ ees´ comme homologues aux categories´ differentielles.´ En particulier, les categories´ inte-´ grales sont equip´ ees´ d’un operateur´ d’integration,´ appele´ la transformation integrale,´ dont les axiomes gen´ eralisent´ les identites´ d’integration´ de base du calcul comme l’integration´ par parties. Cependant, la litterature´ sur les categories´ integrales´ ne contient aucun exemple decrivant´ l’integration´ de fonctions lisses arbitraires : les exemples les plus proches impliquent l’inte-´ gration de fonctions polynomiales. Cet article comble cette lacune en develo-´ ppant un exemple de categorie´ integrale´ dont la transformation integrale´ agit sur des 1-formes differentielles´ lisses. De plus, nous fournissons un autre point de vue sur la structure differentielle´ de cet exemple cle,´ nous etudions´ les derivations´ et les coder´ elictions´ dans ce contexte et nous prouvons que les anneaux C1 libres sont des algebres` de Rota-Baxter. Abstract. Integral categories were recently developed as a counterpart to differential categories. In particular, integral categories come equipped with an integration operator, known as an integral transformation, whose axioms generalize the basic integration identities from calculus such as integration by parts. However, the literature on integral categories contains no example that captures integration of arbitrary smooth functions: the closest are exam- ples involving integration of polynomial functions. This paper fills in this gap G.C,J-S.P.L,R.L-W INT.& DIFF. STRUCT. ON C1-RING MOD. by developing an example of an integral category whose integral transforma- tion operates on smooth 1-forms. -
Hyperquadrics
CHAPTER VII HYPERQUADRICS Conic sections have played an important role in projective geometry almost since the beginning of the subject. In this chapter we shall begin by defining suitable projective versions of conics in the plane, quadrics in 3-space, and more generally hyperquadrics in n-space. We shall also discuss tangents to such figures from several different viewpoints, prove a geometric classification for conics similar to familiar classifications for ordinary conics and quadrics in R2 and R3, and we shall derive an enhanced duality principle for projective spaces and hyperquadrics. Finally, we shall use a mixture of synthetic and analytic methods to prove a famous classical theorem due to B. Pascal (1623{1662)1 on hexagons inscribed in plane conics, a dual theorem due to C. Brianchon (1783{1864),2 and several other closely related results. 1. Definitions The three familiar curves which we call the \conic sections" have a long history ... It seems that they will always hold a place in the curriculum. The beginner in analytic geometry will take up these curves after he has studied the circle. Whoever looks at a circle will continue to see an ellipse, unless his eye is on the axis of the curve. The earth will continue to follow a nearly elliptical orbit around the sun, projectiles will approximate parabolic orbits, [and] a shaded light will illuminate a hyperbolic arch. | J. L. Coolidge (1873{1954) In classical Greek geometry, conic sections were first described synthetically as intersections of a plane and a cone. On the other hand, today such curves are usually viewed as sets of points (x; y) in the Cartesian plane which satisfy a nontrivial quadratic equation of the form Ax2 + 2Bxy + Cy2 + 2D + 2E + F = 0 where at least one of A; B; C is nonzero. -
Mathematics Curriculum
New York State Common Core Mathematics Curriculum GEOMETRY • MODULE 5 Table of Contents1 Circles With and Without Coordinates Module Overview .................................................................................................................................................. 3 Topic A: Central and Inscribed Angles (G-C.A.2, G-C.A.3) ..................................................................................... 8 Lesson 1: Thales’ Theorem ..................................................................................................................... 10 Lesson 2: Circles, Chords, Diameters, and Their Relationships .............................................................. 21 Lesson 3: Rectangles Inscribed in Circles ................................................................................................ 34 Lesson 4: Experiments with Inscribed Angles ......................................................................................... 42 Lesson 5: Inscribed Angle Theorem and Its Application ......................................................................... 53 Lesson 6: Unknown Angle Problems with Inscribed Angles in Circles .................................................... 66 Topic B: Arcs and Sectors (G-C.A.1, G-C.A.2, G-C.B.5) ........................................................................................ 78 Lesson 7: The Angle Measure of an Arc.................................................................................................. 80 Lesson 8: Arcs and Chords ..................................................................................................................... -
Why Do Fingers Cool Before Than the Face When It Is Cold?
Why do fingers cool before than the face when it is cold? Julio Ben´ıtez L´opez, Universidad Polit´ecnica de Valencia, [email protected] Abstract The purpose of this note is to show a physical application of vector calculus by using the heat equation. In this note we will answer the question of the title under reasonable physical hypotheses and without considering medical reasons as blood pressure or sweating. Vector calculus is used in many fields of physical sciences: electromagnetism, gravitation, thermodynamics, fluid dynamics, ... (see, for example, [1]). Here, we will apply vector calculus to the heat equation in order to show a simple and intuitive physical fact. Throughout this note some scattered mathematical concepts shall appear, as the gradient, the chain rule, the space curves, the divergence theorem, the Leibniz integral rule, and the isoperimetric inequality. We start with a brief introduction, the interested reader can consult [1, 2]. Let us consider a body which occupies a region Ω ⊂ R3 with a temperature distribution. Let T (x, y, z, t) be the temperature of the point (x, y, z) ∈ Ω at the time t. Thus, we can 1 model the temperature as a mapping T :Ω × R → R differentiable enough. The colder regions warm up and the warmer regions cool, and therefore we can imagine that there is a heat flux from warmer areas to cooler ones. It is natural to assume that the magnitude of this flux is proportional to the spatial change of the temperature T . Fourier’s Law relates the heat flux, J, and the gradient of T : ∂T ∂T ∂T J = −k∇T = −k , , , (1) ∂x ∂y ∂z where k is a positive constant which depends on the material. -
Lecture 3: the Fundamental Theorem of Calculus
Lecture 3: The Fundamental Theorem of Calculus Today: The Fundamental Theorem of Calculus, Leibniz Integral Rule, Mean Value Theo- rem We defined the definite integral and introduced the Evaluation Theorem to help us evaluate definite integrals. In today’s class, we will explore the relation between two central ideas of calculus: differentiation and integration. The Fundamental Theorem of Calculus The fundamental theorem of calculus deals with functions of the form x F (x) = f(t) dt, Za where f(x) is continuous on the interval [a, b] and x is taken on [a, b]. Recall that the definite integral is always a number that depends on the integrand, the upper and lower limits, but does not depend on the variable t that we integrate over. If x is fixed, the value of the function F (x) is also fixed, and if we let x vary, the function F (x), defined as the definite integral above, would vary with x. Example. Let f(x) = x + 1. Define x F (x) = f(t) dt. Z0 (1) Sketch the graph of f(x) over the interval [0, 3]. (2) Evaluate F (0), F (1), F (2), and F (3). (3) Find a formula for F (x). (4) Calculate F 0(x). The graph of f(x) is a straight line. 0 1 2 3 4 4 3 3 2 2 1 1 0 0 0 1 2 3 19 0 First, F (0) = 0 f(t) dt = 0. The values of F (x) at x = 1, 2, 3 could be computed by area of trapezoids: R 1 (1 + 2) 1 3 F (1) = f(t) dt = · = , 2 2 Z0 2 (1 + 3) 2 F (2) = f(t) dt = · = 4, 2 Z0 3 (1 + 4) 3 15 F (3) = f(t) dt = · = . -
Math 475 Final Oral Exam Fall 2014
Math 475 Final Oral Exam Fall 2014 For the oral final exam, this list should not be viewed as exhaustive. Every question from what we've read and studied is \fair game." Nevertheless, what follows is a very decent guideline to help focus the mind in the two weeks ahead. You should consider the exercises in each section as being included. Usually, you will not be asked to prove things in complete form but rather be asked provide a sketch of the proof and/or an illustration of how and why a given theorem works. Contrarily to what one thinks, providing a decent sketch demands a deep level of understanding of the result and the need to constantly evaluate what's straightforward and beleivable to show versus what is substantive and central to the topic at hand. 2 For example, if one was to be asked about why three points not on a line in R lie on a unique circle, one should give a sketch of reason by using two \bisecting" lines and, as importantly from this sketch, one should be able to say why three points that are colinear cannot lie on a circle. The questions will closely follow the substance and style of the class tests which were very compre- hensive. Below is a guide to what to expect from the final exam. In the exam, I will ask you questions and you will use the board and/or paper; if it is clear that you know what is going on then I will move swiftly on to the next question. -
GEOMETRY 6 There Is Geometry in the Humming of the Strings, There Is Music in the Spacing of Spheres - Pythagoras
6 GEOMETRY 6 There is geometry in the humming of the strings, there is music in the spacing of spheres - Pythagoras 6.1 Introduction Introduction Geometry is a branch of mathematics that deals with Basic Proportionality Theorem the properties of various geometrical figures. The geometry which treats the properties and characteristics of various Angle Bisector Theorem geometrical shapes with axioms or theorems, without the Similar Triangles help of accurate measurements is known as theoretical Tangent chord theorem geometry. The study of geometry improves one’s power to Pythagoras theorem think logically. Euclid, who lived around 300 BC is considered to be the father of geometry. Euclid initiated a new way of thinking in the study of geometrical results by deductive reasoning based on previously proved results and some self evident specific assumptions called axioms or postulates. Geometry holds a great deal of importance in fields such as engineering and architecture. For example, many bridges that play an important role in our lives make use EUCLID (300 BC) of congruent and similar triangles. These triangles help Greece to construct the bridge more stable and enables the bridge to withstand great amounts of stress and strain. In the Euclid’s ‘Elements’ is one of the construction of buildings, geometry can play two roles; most influential works in the history one in making the structure more stable and the other in of mathematics, serving as the main enhancing the beauty. Elegant use of geometric shapes can text book for teaching mathematics turn buildings and other structures such as the Taj Mahal into especially geometry. -
Answer Key 1 8.1 Circles and Similarity
Chapter 8 – Circles Answer Key 8.1 Circles and Similarity Answers 3 1. Translate circle A one unit left and 11 units down. The, dilate about its center by a scale factor of . 4 2. Translate circle A 11 units to the left and 2 units up. Then, dilate about its center by a scale factor of 5 . 3 3. Translate circle A two units to the right and 6 units down. Then, dilate about its center by a scale 7 factor of . 2 4. Translate circle A two units to the left and 5 units down. Then, dilate about its center by a scale 4 factor of . 3 5. Translate circle A 1 unit to the right and 14 units down. Then, dilate about its center by a scale factor of 2. 5 6. Dilate circle A about its center by a scale factor of . 4 7. Translate circle A 5 units to the right and 10 units up. Then, dilate about its center by a scale factor of 4. 8. Translate circle A 6 units to left and one unit down. Then, dilate about its center by a scale factor of 8 . 5 6 9. Dilate circle A about its center by a scale factor of . 5 10. Translate circle A 8 units to the right and 10 units down. 2 11. 3 6 12. √ 1 25 13. 81 2 3 14. √ √5 15. Any reflection or rotation on a circle could more simply be a translation. Therefore, reflections and rotations are not necessary when looking to prove that two circles are similar.