Orange Peels and Fresnel Integrals
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Fresnel Integral Computation Techniques
FRESNEL INTEGRAL COMPUTATION TECHNIQUES ALEXANDRU IONUT, , JAMES C. HATELEY Abstract. This work is an extension of previous work by Alazah et al. [M. Alazah, S. N. Chandler-Wilde, and S. La Porte, Numerische Mathematik, 128(4):635{661, 2014]. We split the computation of the Fresnel Integrals into 3 cases: a truncated Taylor series, modified trapezoid rule and an asymptotic expansion for small, medium and large arguments respectively. These special functions can be computed accurately and efficiently up to an arbitrary preci- sion. Error estimates are provided and we give a systematic method in choosing the various parameters for a desired precision. We illustrate this method and verify numerically using double precision. 1. Introduction The Fresnel integrals and their simultaneous parametric plot, the clothoid, have numerous applications including; but not limited to, optics and electromagnetic theory [8, 15, 16, 17, 21], robotics [2,7, 12, 13, 14], civil engineering [4,9, 20] and biology [18]. There have been numerous works over the past 70 years computing and numerically approximating Fresnel integrals. Boersma established approximations using the Lanczos tau-method [3] and Cody computed rational Chebyshev approx- imations using the Remes algorithm [5]. Another approach includes a spreadsheet computation by Mielenz [10]; which is based on successive improvements of known relational approximations. Mielenz also gives an improvement of his work [11], where the accuracy is less then 1:e-9. More recently, Alazah, Chandler-Wilde and LaPorte propose a method to compute these integrals via a modified trapezoid rule [1]. Alazah et al. remark after some experimentation that a truncation of the Taylor series is more efficient and accurate than their new method for a small argument [1]. -
Analytical Evaluation and Asymptotic Evaluation of Dawson's Integral And
Analytical evaluation and asymptotic evaluation of Dawson’s integral and related functions in mathematical physics V. Nijimbere School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada Abstract Dawson’s integral and related functions in mathematical physics that in- clude the complex error function (Faddeeva’s integral), Fried-Conte (plasma dispersion) function, (Jackson) function, Fresnel function and Gordeyev’s in- tegral are analytically evaluated in terms of the confluent hypergeometric function. And hence, the asymptotic expansions of these functions on the complex plane C are derived using the asymptotic expansion of the confluent hypergeometric function. Keywords: Dawson’s integral, Complex error function, Plasma dispersion function, Fresnel functions, Gordeyev’s integral, Confluent hypergeometric function, asymptotic expansion 1. Introduction Let us consider the first-order initial value problem, D′ +2zD =1,D(0) = 0. (1) arXiv:1703.06757v1 [math.CA] 14 Mar 2017 Its solution given by the definite integral z z2 η2 daw z = D(z)= e− e dη (2) Z0 Email address: [email protected] (V. Nijimbere) Preprint submitted to Elsevier March 21, 2017 is known as Dawson’s integral [1, 17, 24, 27]. Dawson’s integral is related to several important functions (in integral form) in mathematical physics that include Faddeeva’s integral (also know as the complex error function or Kramp function) [9, 10, 22, 18, 27] z z2 2i z2 z2 2i η2 w(z)= e− 1+ e daw z = e− 1+ e dη , (3) √π √π Z0 Fried-Conte function (or plasma dispersion function) [4, 11] z z2 2i z2 z2 2i η2 Z(z)= i√πw(z)= i√πe− 1+ e daw z = i√πe− 1+ e dη , √π √π Z0 (4) (Jackson) function [14] G(z)=1+ zZ(z)=1+ i√πzw(z) z2 2i z2 =1+ i√πze− 1+ e daw z √π z z2 2i η2 =1+ i√πze− 1+ e dη , (5) √π Z0 and Fresnel functions C(x) and S(x) [1] defined by the relation z iπz2 e 2 daw √iπz = eiπη dη = C(x)+ iS(x), (6) √iπ Z0 where z z C(x)= cos(πη2)dη and S(x)= sin (πη2)dη. -
Coverrailway Curves Book.Cdr
RAILWAY CURVES March 2010 (Corrected & Reprinted : November 2018) INDIAN RAILWAYS INSTITUTE OF CIVIL ENGINEERING PUNE - 411 001 i ii Foreword to the corrected and updated version The book on Railway Curves was originally published in March 2010 by Shri V B Sood, the then professor, IRICEN and reprinted in September 2013. The book has been again now corrected and updated as per latest correction slips on various provisions of IRPWM and IRTMM by Shri V B Sood, Chief General Manager (Civil) IRSDC, Delhi, Shri R K Bajpai, Sr Professor, Track-2, and Shri Anil Choudhary, Sr Professor, Track, IRICEN. I hope that the book will be found useful by the field engineers involved in laying and maintenance of curves. Pune Ajay Goyal November 2018 Director IRICEN, Pune iii PREFACE In an attempt to reach out to all the railway engineers including supervisors, IRICEN has been endeavouring to bring out technical books and monograms. This book “Railway Curves” is an attempt in that direction. The earlier two books on this subject, viz. “Speed on Curves” and “Improving Running on Curves” were very well received and several editions of the same have been published. The “Railway Curves” compiles updated material of the above two publications and additional new topics on Setting out of Curves, Computer Program for Realignment of Curves, Curves with Obligatory Points and Turnouts on Curves, with several solved examples to make the book much more useful to the field and design engineer. It is hoped that all the P.way men will find this book a useful source of design, laying out, maintenance, upgradation of the railway curves and tackling various problems of general and specific nature. -
Oscillatority of Fresnel Integrals and Chirp-Like Functions
D ifferential E quations & A pplications Volume 5, Number 4 (2013), 527–547 doi:10.7153/dea-05-31 OSCILLATORITY OF FRESNEL INTEGRALS AND CHIRP–LIKE FUNCTIONS MAJA RESMAN,DOMAGOJ VLAH AND VESNA Zˇ UPANOVIC´ Dedicated to Luka Korkut, upon his retirement (Communicated by Yuki Naito) Abstract. In this review article, we present results concerning fractal analysis of Fresnel and gen- eralized Fresnel integrals. The study is related to computation of box dimension and Minkowski content of spirals defined parametrically by Fresnel integrals, as well as computation of box di- mension of the graph of reflected component function which are chirp-like function. Also, we present some results about relationship between oscillatority of the graph of solution of differ- ential equation, and oscillatority of a trajectory of the corresponding system in the phase space. We are concentrated on a class of differential equations with chirp-like solutions, and also spiral behavior in the phase space. 1. Introduction As coauthors of Luka Korkut, we present here an overview of his scientific con- tribution in fractal analysis of Fresnel integrals and chirp-like functions. We cite the main results from joint articles of Korkut, Resman, Vlah, Zubrini´ˇ candZupanovi´ˇ c, [18, 19, 20, 21, 22, 23]. The articles are mostly based on qualitative theory of differen- tial equations. A standard technique of this theory is phase plane analysis. We study trajectories of the corresponding system of differential equations in the phase plane, instead of studying the graph of the solution of the equation directly. Our main interest is fractal analysis of behavior of the graph of oscillatory solution, and of a trajectory of the associated system. -
ALL ABOUT SPIRALS a Spiral Can Be Described As Any 2D Continuous Curve Where the Radial Distance R from the Origin Equals a Specified Function of the Angle Θ
, ALL ABOUT SPIRALS A spiral can be described as any 2D continuous curve where the radial distance r from the origin equals a specified function of the angle θ. Mathematically it has the unique derivative given by- dr=(df/dθ)dθ with r=0 at θ=0 On integrating one finds- () ∫ 푑푡 r= This solution yields two simple forms. The first occurs when df/dt=α. We get- r=α(θ) This simplest of continuous spiral figures is just the Archimedes Spiral discovered by him over two thousand years ago. Setting the constant to α=3/π , we have the plot- Note that the distance between turns of the spiral remain the same. A second simple spiral is found when df/dθ=βf, where f=exp(훽휃). If we take r=1 at θ=0, it produces- r=exp(βθ) or the equivalent ln(r)=βθ It is known as the Logarithmic Spiral or Bernoulli’s Spiral. Here is its graph when β=1/10- A property of the Bernouli Spiral is that the angle between any radial line and the tangent to the spiral remains a constant. J. Bernoulli was so intrigued by this spiral that he had a copy placed on his tombstone in Basel Switzerland. Here I am pointing to it back in 2000 - One can construct numerous other spirals by simply changing the form of df(θ)/dθ and picking a starting point r(θ0)=r0. So if df/dθ=α/[2sqrt(θ)] and r=0 when θ=0, we get the spiral– r=αsqrt(θ) It looks as follows- This figure is known as the Fermat Spiral. -
From Spiral to Spline: Optimal Techniques in Interactive Curve Design
From Spiral to Spline: Optimal Techniques in Interactive Curve Design Raphael Linus Levien Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2009-162 http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-162.html December 3, 2009 Copyright © 2009, by the author(s). All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. From Spiral to Spline: Optimal Techniques in Interactive Curve Design by Raphael Linus Levien A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Engineering–Electrical Engineering and Computer Sciences in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, BERKELEY Committee in charge: Professor Carlo S´equin, Chair Professor Jonathan Shewchuk Professor Jasper Rine Fall 2009 From Spiral to Spline: Optimal Techniques in Interactive Curve Design Copyright © 2009 by Raphael Linus Levien Abstract From Spiral to Spline: Optimal Techniques in Interactive Curve Design by Raphael Linus Levien Doctor of Philosophy in Engineering–Electrical Engineering and Computer Sciences University of California, Berkeley Professor Carlo S´equin, Chair A basic technique for designing curved shapes in the plane is interpolating splines. The designer inputs a sequence of control points, and the computer fits a smooth curve that goes through these points. -
Racing Line Optimization
Racing Line Optimization by Ying Xiong B.E., Computer Science Shanghai Jiao Tong University (2009) Submitted to the School of Engineering in partial fulfillment of the requirements for the degree of Master of Science in Computation for Design and Optimization at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2010 © Massachusetts Institute of Technology 2010. All rights reserved. Signature of Author . Computation for Design and Optimization, School of Engineering July 30, 2010 Certified by . Gilbert Strang Professor of Mathematics Thesis Advisor Accepted by . Karen Willcox Associate Professor of Aeronautics and Astronautics Co-Director, Computation for Design and Optimization Program 1 Contents Abstract ........................................................................................................................................... 4 1. Introduction ............................................................................................................................. 5 2. Problem formulation ................................................................................................................ 9 2.1 Problem formulation for two-dimensional racing tracks ................................................. 10 2.2 Problem formulation for three-dimensional tracks .......................................................... 12 2.2.1 Force analysis ........................................................................................................ 13 2.2.2 Three-dimensional constraints ............................................................................. -
Fast and Accurate $ G^ 1$ Fitting of Clothoid Curves
Fast and accurate G1 fitting of clothoid curves ENRICO BERTOLAZZI and MARCO FREGO University of Trento, Italy A new effective solution to the problem of Hermite G1 interpolation with a clothoid curve is here proposed, that is a clothoid that interpolates two given points in a plane with assigned unit tangent vectors. The interpolation problem is a system of three nonlinear equations with multiple solutions which is difficult to solve also numerically. Here the solution of this system is reduced to the computation of the zeros of one single function in one variable. The location of the zero associated to the relevant solution is studied analytically: the interval containing the zero where the solution is proved to exists and to be unique is provided. A simple guess function allows to find that zero with very few iterations in all possible configurations. The computation of the clothoid curves and the solution algorithm call for the evaluation of Fresnel related integrals. Such integrals need asymptotic expansions near critical values to avoid loss of precision. This is necessary when, for example, the solution of the interpolation problem is close to a straight line or an arc of circle. A simple algorithm is presented for efficient computation of the asymptotic expansion. The reduction of the problem to a single nonlinear function in one variable and the use of asymptotic expansions make the present solution algorithm fast and robust. In particular a comparison with algorithms present in literature shows that the present algorithm requires less iterations. Moreover accuracy is maintained in all possible configurations while other algorithms have a loss of accuracy near the transition zones. -
Short Course on Asymptotics Mathematics Summer REU Programs University of Illinois Summer 2015
Short Course on Asymptotics Mathematics Summer REU Programs University of Illinois Summer 2015 A.J. Hildebrand 7/21/2015 2 Short Course on Asymptotics A.J. Hildebrand Contents Notations and Conventions 5 1 Introduction: What is asymptotics? 7 1.1 Exact formulas versus approximations and estimates . 7 1.2 A sampler of applications of asymptotics . 8 2 Asymptotic notations 11 2.1 Big Oh . 11 2.2 Small oh and asymptotic equivalence . 14 2.3 Working with Big Oh estimates . 15 2.4 A case study: Comparing (1 + 1=n)n with e . 18 2.5 Remarks and extensions . 20 3 Applications to probability 23 3.1 Probabilities in the birthday problem. 23 3.2 Poisson approximation to the binomial distribution. 25 3.3 The center of the binomial distribution . 27 3.4 Normal approximation to the binomial distribution . 30 4 Integrals 35 4.1 The error function integral . 35 4.2 The logarithmic integral . 37 4.3 The Fresnel integrals . 39 5 Sums 43 5.1 Euler's summation formula . 43 5.2 Harmonic numbers . 46 5.3 Proof of Stirling's formula with unspecified constant . 48 3 4 CONTENTS Short Course on Asymptotics A.J. Hildebrand Notations and Conventions R the set of real numbers C the set of complex numbers N the set of positive integers x; y; t; : : : real numbers h; k; n; m; : : : integers (usually positive) [x] the greatest integer ≤ x (floor function) fxg the fractional part of x, i.e., x − [x] p; pi; q; qi;::: primes P summation over all positive integers ≤ x n≤x P summation over all nonnegative integers ≤ x (i.e., including 0≤n≤x n = 0) P summation over all primes ≤ x p≤x Convention for empty sums and products: An empty sum (i.e., one in which the summation condition is never satisfied) is defined as 0; an empty product is defined as 1. -
A Table of Integrals of the Error Functions*
JOURNAL OF RESEAR CH of the Natiana l Bureau of Standards - B. Mathematical Sciences Vol. 73B, No. 1, January-March 1969 A Table of Integrals of the Error Functions* Edward W. Ng** and Murray Geller** (October 23, 1968) This is a compendium of indefinite and definite integrals of products of the Error function with elementary or transcendental functions. A s'ubstantial portion of the results are ne w. Key Words: Astrophysics; atomic physics; Error functions; indefi nite integrals; special functions; statistical analysis. 1. Introduction Integrals of the error function occur in a great variety of applicati ons, us ualJy in problems involvin g multiple integration where the integrand contains expone ntials of the squares of the argu me nts. Examples of applications can be cited from atomic physics [16),1 astrophysics [13] , and statistical analysis [15]. This paper is an attempt to give a n up-to-date exhaustive tabulation of s uch integrals. All formulas for indefi nite integrals in sections 4.1, 4.2, 4.5, a nd 4.6 below were derived from integration by parts and c hecked by differe ntiation of the resulting expressions_ Section 4.3 and the second hali' of 4.5 cover all formulas give n in [7] , with omission of trivial duplications and with a number of additions; section 4.4 covers essentially formulas give n in [4], Vol. I, pp. 233-235. All these formulas have been re-derived and checked, eithe r from the integral representation or from the hype rgeometric series of the error function. Sections 4.7,4_8 and 4_9 ori ginated in a more varied way. -
Sketch-Based Path Design by James Palmer Mccrae A
Sketch-Based Path Design by James Palmer McCrae A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Computer Science University of Toronto Copyright c 2008 by James Palmer McCrae Abstract Sketch-Based Path Design James Palmer McCrae Master of Science Graduate Department of Computer Science University of Toronto 2008 We first present a novel approach to sketching 2D curves with minimally varying cur- vature as piecewise clothoids. A stable and efficient algorithm fits a sketched piecewise linear curve using a number of clothoid segments with G2 continuity based on a specified error tolerance. We then present a system for conceptually sketching 3D layouts for road and other path networks. Our system makes four key contributions. First, we generate paths with piecewise linear curvature by fitting 2D clothoid curves to strokes sketched on a terrain. Second, the height of paths above the terrain is automatically determined using a new constraint optimization formulation of the occlusion relationships between sketched strokes. Third, we present the break-out lens, a novel widget inspired by break-out views used in engineering visualization, to facilitate the in-context and interactive manipulation of paths from alternate view points. Finally, our path construction is terrain sensitive. ii Acknowledgements I would like to acknowledge the efforts of my supervisor, Karan Singh, and thank him for his guidance over the duration of the Masters program. I learned much from him as a result of our meetings. I believe that his broad knowledge and talents as a supervisor brought out the best in me. -
Generalized Fresnel Integrals
Bull. Sci. math. 129 (2005) 1–23 www.elsevier.com/locate/bulsci Generalized Fresnel integrals S. Albeverio 1,2,∗, S. Mazzucchi 2 Institut für Angewandte Mathematik, Wegelerstr. 6, 53115 Bonn, Germany Received 25 May 2004; accepted 26 May 2004 Available online 6 August 2004 Abstract A general class of (finite dimensional) oscillatory integrals with polynomially growing phase func- tions is studied. A representation formula of the Parseval type is proven as well as a formula giving the integrals in terms of analytically continued absolutely convergent integrals. Their asymptotic ex- pansion for “strong oscillations” is given. The expansion is in powers of h¯ 1/2M,whereh¯ is a small parameters and 2M is the order of growth of the phase function. Additional assumptions on the integrands are found which are sufficient to yield convergent, resp. Borel summable, expansions. 2004 Elsevier SAS. All rights reserved. Résumé On étudie une classe générale d’intégrales oscillatoires en dimension finie avec une fonction de phase à croissance polynomiale. Une formule de représentation du type Parseval est démontrée, ainsi qu’une formule donnant les intégrales au moyen de la continuation analytique d’intégrales ab- solument convergentes. On donne les développements asymptotiques de ces intégrales dans le cas d’ “oscillations rapides”. Ces développements sont en puissance de h¯ 1/2M,oùh¯ est un petit para- mètre et 2M est l’ordre de croissance de la fonction de phase. Sous des conditions additionelles sur les integrands on obtient la convergence, resp. la sommabilité au sens de Borel, des développements asymptotiques. 2004 Elsevier SAS. All rights reserved. MSC: 28C05; 35S30; 34E05; 40G10; 81S40 * Corresponding author.