The Complex Inverse Trigonometric and Hyperbolic Functions
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Branch Points and Cuts in the Complex Plane
BRANCH POINTS AND CUTS IN THE COMPLEX PLANE Link to: physicspages home page. To leave a comment or report an error, please use the auxiliary blog and include the title or URL of this post in your comment. Post date: 6 July 2021. We’ve looked at contour integration in the complex plane as a technique for evaluating integrals of complex functions and finding infinite integrals of real functions. In some cases, the complex functions that are to be integrated are multi- valued. As a preliminary to the contour integration of such functions, we’ll look at the concepts of branch points and branch cuts here. The stereotypical function that is used to introduce branch cuts in most books is the complex logarithm function logz which is defined so that elogz = z (1) If z is real and positive, this reduces to the familiar real logarithm func- tion. (Here I’m using natural logs, so the real natural log function is usually written as ln. In complex analysis, the term log is usually used, so be careful not to confuse it with base 10 logs.) To generalize it to complex numbers, we write z in modulus-argument form z = reiθ (2) and apply the usual rules for taking a log of products and exponentials: logz = logr + iθ (3) = logr + iargz (4) To see where problems arise, suppose we start with z on the positive real axis and increase θ. Everything is fine until θ approaches 2π. When θ passes 2π, the original complex number z returns to its starting value, as given by 2. -
Section 6.7 Hyperbolic Functions 3
Section 6.7 Difference Equations to Hyperbolic Functions Differential Equations The final class of functions we will consider are the hyperbolic functions. In a sense these functions are not new to us since they may all be expressed in terms of the exponential function and its inverse, the natural logarithm function. However, we will see that they have many interesting and useful properties. Definition For any real number x, the hyperbolic sine of x, denoted sinh(x), is defined by 1 sinh(x) = (ex − e−x) (6.7.1) 2 and the hyperbolic cosine of x, denoted cosh(x), is defined by 1 cosh(x) = (ex + e−x). (6.7.2) 2 Note that, for any real number t, 1 1 cosh2(t) − sinh2(t) = (et + e−t)2 − (et − e−t)2 4 4 1 1 = (e2t + 2ete−t + e−2t) − (e2t − 2ete−t + e−2t) 4 4 1 = (2 + 2) 4 = 1. Thus we have the useful identity cosh2(t) − sinh2(t) = 1 (6.7.3) for any real number t. Put another way, (cosh(t), sinh(t)) is a point on the hyperbola x2 −y2 = 1. Hence we see an analogy between the hyperbolic cosine and sine functions and the cosine and sine functions: Whereas (cos(t), sin(t)) is a point on the circle x2 + y2 = 1, (cosh(t), sinh(t)) is a point on the hyperbola x2 − y2 = 1. In fact, the cosine and sine functions are sometimes referred to as the circular cosine and sine functions. We shall see many more similarities between the hyperbolic trigonometric functions and their circular counterparts as we proceed with our discussion. -
“An Introduction to Hyperbolic Functions in Elementary Calculus” Jerome Rosenthal, Broward Community College, Pompano Beach, FL 33063
“An Introduction to Hyperbolic Functions in Elementary Calculus” Jerome Rosenthal, Broward Community College, Pompano Beach, FL 33063 Mathematics Teacher, April 1986, Volume 79, Number 4, pp. 298–300. Mathematics Teacher is a publication of the National Council of Teachers of Mathematics (NCTM). The primary purpose of the National Council of Teachers of Mathematics is to provide vision and leadership in the improvement of the teaching and learning of mathematics. For more information on membership in the NCTM, call or write: NCTM Headquarters Office 1906 Association Drive Reston, Virginia 20191-9988 Phone: (703) 620-9840 Fax: (703) 476-2970 Internet: http://www.nctm.org E-mail: [email protected] Article reprint with permission from Mathematics Teacher, copyright April 1986 by the National Council of Teachers of Mathematics. All rights reserved. he customary introduction to hyperbolic functions mentions that the combinations T s1y2dseu 1 e2ud and s1y2dseu 2 e2ud occur with sufficient frequency to warrant special names. These functions are analogous, respectively, to cos u and sin u. This article attempts to give a geometric justification for cosh and sinh, comparable to the functions of sin and cos as applied to the unit circle. This article describes a means of identifying cosh u 5 s1y2dseu 1 e2ud and sinh u 5 s1y2dseu 2 e2ud with the coordinates of a point sx, yd on a comparable “unit hyperbola,” x2 2 y2 5 1. The functions cosh u and sinh u are the basic hyperbolic functions, and their relationship to the so-called unit hyperbola is our present concern. The basic hyperbolic functions should be presented to the student with some rationale. -
Inverse Hyperbolic Functions
INVERSE HYPERBOLIC FUNCTIONS We will recall that the function eex − − x sinh x = 2 is a 1 to 1 mapping.ie one value of x maps onto one value of sinhx. This implies that the inverse function exists. y =⇔=sinhxx sinh−1 y The function f(x)=sinhx clearly involves the exponential function. We will now find the inverse function in its logarithmic form. LET y = sinh−1 x x = sinh y THEN eey − − y x = 2 (BY DEFINITION) SOME ALGEBRAIC MANIPULATION GIVES yy− 2xe=− e MULTIPLYING BOTH SIDES BY e y yy2 21xe= e − RE-ARRANGING TO CREATE A QUADRATIC IN e y 2 yy 02=−exe −1 APPLYING THE QUADRATIC FORMULA 24xx± 2 + 4 e y = 2 22xx± 2 + 1 e y = 2 y 2 exx= ±+1 SINCE y e >0 WE MUST ONLY CONSIDER THE ADDITION. y 2 exx= ++1 TAKING LOGARITHMS OF BOTH SIDES yxx=++ln2 1 { } IN CONCLUSION −12 sinhxxx=++ ln 1 { } THIS IS CALLED THE LOGARITHMIC FORM OF THE INVERSE FUNCTION. The graph of the inverse function is of course a reflection in the line y=x. THE INVERSE OF COSHX The function eex + − x fx()== cosh x 2 Is of course not a one to one function. (observe the graph of the function earlier). In order to have an inverse the DOMAIN of the function is restricted. eexx+ − fx()== cosh x , x≥ 0 2 This is a one to one mapping with RANGE [1, ∞] . We find the inverse function in logarithmic form in a similar way. y = cosh −1 x x = cosh y provided y ≥ 0 eeyy+ − xy==cosh 2 2xe=+yy e− 02=−+exeyy− 2 yy 02=−exe +1 USING QUADRATIC FORMULA −24xx±−2 4 e y = 2 y 2 exx=± −1 TAKING LOGS yxx=±−ln2 1 { } yxx=+−ln2 1 is one possible expression { } APPROPRIATE IF THE DOMAIN OF THE ORIGINAL FUNCTION HAD BEEN RESTRICTED AS EXPLAINED ABOVE. -
Riemann Surfaces
RIEMANN SURFACES AARON LANDESMAN CONTENTS 1. Introduction 2 2. Maps of Riemann Surfaces 4 2.1. Defining the maps 4 2.2. The multiplicity of a map 4 2.3. Ramification Loci of maps 6 2.4. Applications 6 3. Properness 9 3.1. Definition of properness 9 3.2. Basic properties of proper morphisms 9 3.3. Constancy of degree of a map 10 4. Examples of Proper Maps of Riemann Surfaces 13 5. Riemann-Hurwitz 15 5.1. Statement of Riemann-Hurwitz 15 5.2. Applications 15 6. Automorphisms of Riemann Surfaces of genus ≥ 2 18 6.1. Statement of the bound 18 6.2. Proving the bound 18 6.3. We rule out g(Y) > 1 20 6.4. We rule out g(Y) = 1 20 6.5. We rule out g(Y) = 0, n ≥ 5 20 6.6. We rule out g(Y) = 0, n = 4 20 6.7. We rule out g(C0) = 0, n = 3 20 6.8. 21 7. Automorphisms in low genus 0 and 1 22 7.1. Genus 0 22 7.2. Genus 1 22 7.3. Example in Genus 3 23 Appendix A. Proof of Riemann Hurwitz 25 Appendix B. Quotients of Riemann surfaces by automorphisms 29 References 31 1 2 AARON LANDESMAN 1. INTRODUCTION In this course, we’ll discuss the theory of Riemann surfaces. Rie- mann surfaces are a beautiful breeding ground for ideas from many areas of math. In this way they connect seemingly disjoint fields, and also allow one to use tools from different areas of math to study them. -
On the Continuability of Multivalued Analytic Functions to an Analytic Subset*
Functional Analysis and Its Applications, Vol. 35, No. 1, pp. 51–59, 2001 On the Continuability of Multivalued Analytic Functions to an Analytic Subset* A. G. Khovanskii UDC 517.9 In the paper it is shown that a germ of a many-valued analytic function can be continued analytically along the branching set at least until the topology of this set is changed. This result is needed to construct the many-dimensional topological version of the Galois theory. The proof heavily uses the Whitney stratification. Introduction In the topological version of Galois theory for functions of one variable (see [1–4]) it is proved that the character of location of the Riemann surface of a function over the complex line can prevent the representability of this function by quadratures. This not only explains why many differential equations cannot be solved by quadratures but also gives the sharpest known results on their nonsolvability. I always thought that there is no many-dimensional topological version of Galois theory of full value. The point is that, to construct such a version in the many-variable case, it would be necessary to have information not only on the continuability of germs of functions outside their branching sets but also along these sets, and it seemed that there is nowhere one can obtain this information from. Only in spring of 1999 did I suddenly understand that germs of functions are sometimes automatically continued along the branching set. Therefore, a many-dimensional topological version of the Galois theory does exist. I am going to publish it in forthcoming papers. -
2 COMPLEX NUMBERS 61 2 Complex Numbers
2 COMPLEX NUMBERS 61 2 Complex numbers Though they don’t exist, per se, complex numbers pop up all over the place when we do science. They are an especially useful mathematical tool in problems dealing with oscillations and waves in light, fluids, magnetic fields, electrical circuits, etc., • stability problems in fluid flow and structural engineering, • signal processing (Fourier transform, etc.), • quantum physics, e.g. Schroedinger’s equation, • ∂ψ i + 2ψ + V (x)ψ =0 , ∂t ∇ which describes the wavefunctions of atomic and molecular systems,. difficult differential equations. • For your revision: recall that the general quadratic equation, ax2 + bx + c =0, has two solutions given by the quadratic formula b √b2 4ac x = − ± − . (85) 2a But what happens when the discriminant is negative? For instance, consider x2 2x +2=0 . (86) − Its solutions are 2 ( 2)2 4 1 2 2 √ 4 x = ± − − × × = ± − 2 1 2 p × = 1 √ 1 . ± − 2 COMPLEX NUMBERS 62 These two solutions are evidently not real numbers! However, if we put that aside and accept the existence of the square root of minus one, written as i = √ 1 , (87) − then the two solutions, 1+ i and 1 i, live in the set of complex numbers. The − quadratic equation now can be factorised as z2 2z +2=(z 1 i)(z 1+ i)=0 , − − − − and to be able to factorise every polynomial is a very useful thing, as we shall see. 2.1 Complex algebra 2.1.1 Definitions A complex number z takes the form z = x + iy , (88) where x and y are real numbers and i is the imaginary unit satisfying i2 = 1 . -
Draftfebruary 16, 2021-- 02:14
Exactification of Stirling’s Approximation for the Logarithm of the Gamma Function Victor Kowalenko School of Mathematics and Statistics The University of Melbourne Victoria 3010, Australia. February 16, 2021 Abstract Exactification is the process of obtaining exact values of a function from its complete asymptotic expansion. This work studies the complete form of Stirling’s approximation for the logarithm of the gamma function, which consists of standard leading terms plus a remainder term involving an infinite asymptotic series. To obtain values of the function, the divergent remainder must be regularized. Two regularization techniques are introduced: Borel summation and Mellin-Barnes (MB) regularization. The Borel-summed remainder is found to be composed of an infinite convergent sum of exponential integrals and discontinuous logarithmic terms from crossing Stokes sectors and lines, while the MB-regularized remainders possess one MB integral, with similar logarithmic terms. Because MB integrals are valid over overlapping domains of convergence, two MB-regularized asymptotic forms can often be used to evaluate the logarithm of the gamma function. Although the Borel- summed remainder is truncated, albeit at very large values of the sum, it is found that all the remainders when combined with (1) the truncated asymptotic series, (2) the leading terms of Stirling’s approximation and (3) their logarithmic terms yield identical valuesDRAFT that agree with the very high precision results obtained from mathematical software packages.February 16, -
The Monodromy Groups of Schwarzian Equations on Closed
Annals of Mathematics The Monodromy Groups of Schwarzian Equations on Closed Riemann Surfaces Author(s): Daniel Gallo, Michael Kapovich and Albert Marden Reviewed work(s): Source: Annals of Mathematics, Second Series, Vol. 151, No. 2 (Mar., 2000), pp. 625-704 Published by: Annals of Mathematics Stable URL: http://www.jstor.org/stable/121044 . Accessed: 15/02/2013 18:57 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Annals of Mathematics is collaborating with JSTOR to digitize, preserve and extend access to Annals of Mathematics. http://www.jstor.org This content downloaded on Fri, 15 Feb 2013 18:57:11 PM All use subject to JSTOR Terms and Conditions Annals of Mathematics, 151 (2000), 625-704 The monodromy groups of Schwarzian equations on closed Riemann surfaces By DANIEL GALLO, MICHAEL KAPOVICH, and ALBERT MARDEN To the memory of Lars V. Ahlfors Abstract Let 0: 7 (R) -* PSL(2, C) be a homomorphism of the fundamental group of an oriented, closed surface R of genus exceeding one. We will establish the following theorem. THEOREM. Necessary and sufficient for 0 to be the monodromy represen- tation associated with a complex projective stucture on R, either unbranched or with a single branch point of order 2, is that 0(7ri(R)) be nonelementary. -
Hyperbolic Functions Certain Combinations of the Exponential
Hyperbolic Functions Certain combinations of the exponential function occur so often in physical applications that they are given special names. Specifically, half the difference of ex and e−x is defined as the hyperbolic sine function and half their sum is the hyperbolic cosine function. These functions are denoted as follows: ex − e−x ex + e−x sinh x = and cosh x = . (1.1) 2 2 The names of the hyperbolic functions and their notations bear a striking re- semblance to those for the trigonometric functions, and there are reasons for this. First, the hyperbolic functions sinh x and cosh x are related to the curve x2 −y2 = 1, called the unit hyperbola, in much the same way as the trigonometric functions sin x and cos x are related to the unit circle x2 + y2 = 1. Second, for each identity satis- fied by the trigonometric functions, there is a corresponding identity satisfied by the hyperbolic functions — not the same identity, but one very similar. For example, using equations 1.1, we have ex + e−x 2 ex − e−x 2 (cosh x)2 − (sinh x)2 = − 2 2 1 x − x x − x = e2 +2+ e 2 − e2 − 2+ e 2 4 =1. Thus the hyperbolic sine and cosine functions satisfy the identity cosh2 x − sinh2 x =1, (1.2) which is reminiscent of the identity cos2 x + sin2 x = 1 for the trigonometric func- tions. Just as four other trigonometric functions are defined in terms of sin x and cos x, four corresponding hyperbolic functions are defined as follows: sinh x ex − e−x cosh x ex + e−x tanh x = = , cothx = = , cosh x ex + e−x sinh x ex − e−x (1.3) 1 2 1 2 sechx = = , cschx = = . -
Accurate Hyperbolic Tangent Computation
Accurate Hyperbolic Tangent Computation Nelson H. F. Beebe Center for Scientific Computing Department of Mathematics University of Utah Salt Lake City, UT 84112 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 Internet: [email protected] 20 April 1993 Version 1.07 Abstract These notes for Mathematics 119 describe the Cody-Waite algorithm for ac- curate computation of the hyperbolic tangent, one of the simpler elementary functions. Contents 1 Introduction 1 2 The plan of attack 1 3 Properties of the hyperbolic tangent 1 4 Identifying computational regions 3 4.1 Finding xsmall ::::::::::::::::::::::::::::: 3 4.2 Finding xmedium ::::::::::::::::::::::::::: 4 4.3 Finding xlarge ::::::::::::::::::::::::::::: 5 4.4 The rational polynomial ::::::::::::::::::::::: 6 5 Putting it all together 7 6 Accuracy of the tanh() computation 8 7 Testing the implementation of tanh() 9 List of Figures 1 Hyperbolic tangent, tanh(x). :::::::::::::::::::: 2 2 Computational regions for evaluating tanh(x). ::::::::::: 4 3 Hyperbolic cosecant, csch(x). :::::::::::::::::::: 10 List of Tables 1 Expected errors in polynomial evaluation of tanh(x). ::::::: 8 2 Relative errors in tanh(x) on Convex C220 (ConvexOS 9.0). ::: 15 3 Relative errors in tanh(x) on DEC MicroVAX 3100 (VMS 5.4). : 15 4 Relative errors in tanh(x) on Hewlett-Packard 9000/720 (HP-UX A.B8.05). ::::::::::::::::::::::::::::::: 15 5 Relative errors in tanh(x) on IBM 3090 (AIX 370). :::::::: 15 6 Relative errors in tanh(x) on IBM RS/6000 (AIX 3.1). :::::: 16 7 Relative errors in tanh(x) on MIPS RC3230 (RISC/os 4.52). :: 16 8 Relative errors in tanh(x) on NeXT (Motorola 68040, Mach 2.1). -
Universit`A Degli Studi Di Perugia the Lambert W Function on Matrices
Universita` degli Studi di Perugia Facolta` di Scienze Matematiche, Fisiche e Naturali Corso di Laurea Triennale in Informatica The Lambert W function on matrices Candidato Relatore MassimilianoFasi BrunoIannazzo Contents Preface iii 1 The Lambert W function 1 1.1 Definitions............................. 1 1.2 Branches.............................. 2 1.3 Seriesexpansions ......................... 10 1.3.1 Taylor series and the Lagrange Inversion Theorem. 10 1.3.2 Asymptoticexpansions. 13 2 Lambert W function for scalar values 15 2.1 Iterativeroot-findingmethods. 16 2.1.1 Newton’smethod. 17 2.1.2 Halley’smethod . 18 2.1.3 K¨onig’s family of iterative methods . 20 2.2 Computing W ........................... 22 2.2.1 Choiceoftheinitialvalue . 23 2.2.2 Iteration.......................... 26 3 Lambert W function for matrices 29 3.1 Iterativeroot-findingmethods. 29 3.1.1 Newton’smethod. 31 3.2 Computing W ........................... 34 3.2.1 Computing W (A)trougheigenvectors . 34 3.2.2 Computing W (A) trough an iterative method . 36 A Complex numbers 45 A.1 Definitionandrepresentations. 45 B Functions of matrices 47 B.1 Definitions............................. 47 i ii CONTENTS C Source code 51 C.1 mixW(<branch>, <argument>) ................. 51 C.2 blockW(<branch>, <argument>, <guess>) .......... 52 C.3 matW(<branch>, <argument>) ................. 53 Preface Main aim of the present work was learning something about a not- so-widely known special function, that we will formally call Lambert W function. This function has many useful applications, although its presence goes sometimes unrecognised, in mathematics and in physics as well, and we found some of them very curious and amusing. One of the strangest situation in which it comes out is in writing in a simpler form the function .