18.03 Differential Equations, Supplementary Notes Ch. 6
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Integration in the Complex Plane (Zill & Wright Chapter
Integration in the Complex Plane (Zill & Wright Chapter 18) 1016-420-02: Complex Variables∗ Winter 2012-2013 Contents 1 Contour Integrals 2 1.1 Definition and Properties . 2 1.2 Evaluation . 3 1.2.1 Example: R z¯ dz ............................. 3 C1 1.2.2 Example: R z¯ dz ............................. 4 C2 R 2 1.2.3 Example: C z dz ............................. 4 1.3 The ML Limit . 5 1.4 Circulation and Flux . 5 2 The Cauchy-Goursat Theorem 7 2.1 Integral Around a Closed Loop . 7 2.2 Independence of Path for Analytic Functions . 8 2.3 Deformation of Closed Contours . 9 2.4 The Antiderivative . 10 3 Cauchy's Integral Formulas 12 3.1 Cauchy's Integral Formula . 12 3.1.1 Example #1 . 13 3.1.2 Example #2 . 13 3.2 Cauchy's Integral Formula for Derivatives . 14 3.3 Consequences of Cauchy's Integral Formulas . 16 3.3.1 Cauchy's Inequality . 16 3.3.2 Liouville's Theorem . 16 ∗Copyright 2013, John T. Whelan, and all that 1 Tuesday 18 December 2012 1 Contour Integrals 1.1 Definition and Properties Recall the definition of the definite integral Z xF X f(x) dx = lim f(xk) ∆xk (1.1) ∆xk!0 xI k We'd like to define a similar concept, integrating a function f(z) from some point zI to another point zF . The problem is that, since zI and zF are points in the complex plane, there are different ways to get between them, and adding up the value of the function along one path will not give the same result as doing it along another path, even if they have the same endpoints. -
1 the Complex Plane
Math 135A, Winter 2012 Complex numbers 1 The complex numbers C are important in just about every branch of mathematics. These notes present some basic facts about them. 1 The Complex Plane A complex number z is given by a pair of real numbers x and y and is written in the form z = x+iy, where i satisfies i2 = −1. The complex numbers may be represented as points in the plane, with the real number 1 represented by the point (1; 0), and the complex number i represented by the point (0; 1). The x-axis is called the \real axis," and the y-axis is called the \imaginary axis." For example, the complex numbers 1, i, 3 + 4i and 3 − 4i are illustrated in Fig 1a. 3 + 4i 6 + 4i 2 + 3i imag i 4 + i 1 real 3 − 4i Fig 1a Fig 1b Complex numbers are added in a natural way: If z1 = x1 + iy1 and z2 = x2 + iy2, then z1 + z2 = (x1 + x2) + i(y1 + y2) (1) It's just vector addition. Fig 1b illustrates the addition (4 + i) + (2 + 3i) = (6 + 4i). Multiplication is given by z1z2 = (x1x2 − y1y2) + i(x1y2 + x2y1) Note that the product behaves exactly like the product of any two algebraic expressions, keeping in mind that i2 = −1. Thus, (2 + i)(−2 + 4i) = 2(−2) + 8i − 2i + 4i2 = −8 + 6i We call x the real part of z and y the imaginary part, and we write x = Re z, y = Im z.(Remember: Im z is a real number.) The term \imaginary" is a historical holdover; it took mathematicians some time to accept the fact that i (for \imaginary," naturally) was a perfectly good mathematical object. -
The Integral Resulting in a Logarithm of a Complex Number Dr. E. Jacobs in first Year Calculus You Learned About the Formula: Z B 1 Dx = Ln |B| − Ln |A| a X
The Integral Resulting in a Logarithm of a Complex Number Dr. E. Jacobs In first year calculus you learned about the formula: Z b 1 dx = ln jbj ¡ ln jaj a x It is natural to want to apply this formula to contour integrals. If z1 and z2 are complex numbers and C is a path connecting z1 to z2, we would expect that: Z 1 dz = log z2 ¡ log z1 C z However, you are about to see that there is an interesting complication when we take the formula for the integral resulting in logarithm and try to extend it to the complex case. First of all, recall that if f(z) is an analytic function on a domain D and C is a closed loop in D then : I f(z) dz = 0 This is referred to as the Cauchy-Integral Theorem. So, for example, if C His a circle of radius r around the origin we may conclude immediately that 2 2 C z dz = 0 because z is an analytic function for all values of z. H If f(z) is not analytic then C f(z) dz is not necessarily zero. Let’s do an 1 explicit calculation for f(z) = z . If we are integrating around a circle C centered at the origin, then any point z on this path may be written as: z = reiθ H 1 iθ Let’s use this to integrate C z dz. If z = re then dz = ireiθ dθ H 1 Now, substitute this into the integral C z dz. -
Complex Sinusoids Copyright C Barry Van Veen 2014
Complex Sinusoids Copyright c Barry Van Veen 2014 Feel free to pass this ebook around the web... but please do not modify any of its contents. Thanks! AllSignalProcessing.com Key Concepts 1) The real part of a complex sinusoid is a cosine wave and the imag- inary part is a sine wave. 2) A complex sinusoid x(t) = AejΩt+φ can be visualized in the complex plane as a vector of length A that is rotating at a rate of Ω radians per second and has angle φ relative to the real axis at time t = 0. a) The projection of the complex sinusoid onto the real axis is the cosine A cos(Ωt + φ). b) The projection of the complex sinusoid onto the imaginary axis is the cosine A sin(Ωt + φ). AllSignalProcessing.com 3) The output of a linear time invariant system in response to a com- plex sinusoid input is a complex sinusoid of the of the same fre- quency. The system only changes the amplitude and phase of the input complex sinusoid. a) Arbitrary input signals are represented as weighted sums of complex sinusoids of different frequencies. b) Then, the output is a weighted sum of complex sinusoids where the weights have been multiplied by the complex gain of the system. 4) Complex sinusoids also simplify algebraic manipulations. AllSignalProcessing.com 5) Real sinusoids can be expressed as a sum of a positive and negative frequency complex sinusoid. 6) The concept of negative frequency is not physically meaningful for real data and is an artifact of using complex sinusoids. -
Bessel's Differential Equation Mathematical Physics
R. I. Badran Bessel's Differential Equation Mathematical Physics Bessel's Differential Equation: 2 Recalling the DE y n y 0 which has a sinusoidal solution (i.e. sin nx and cos nx) and knowing that these solutions can be treated as power series, we can find a solution to the Bessel's DE which is written as: 2 2 2 x y xy (x p )y 0 . The solution is represented by a series. This series very much look like a damped sine or cosine. It is called a Bessel function. To solve the Bessel' DE, we apply the Frobenius method by mn assuming a series solution of the form y an x . n0 Substitute this solution into the DE equation and after some mathematical steps you may find that the indicial equation is 2 2 m p 0 where m= p. Also you may get a1=0 and hence all odd a's are zero as well. The recursion relation can be found as a a n n2 (n m 2)2 p 2 with (n=0, 1, 2, 3, ……etc.). Case (1): m= p (seeking the first solution of Bessel DE) We get the solution 2 4 p x x y a x 1 2(2p 2) 2 4(2p 2)(2p 4) This can be rewritten as: x p2n J (x) y a (1)n p 2n n0 2 n!( p n)! 1 Put a 2 p p! The Bessel function has the factorial form x p2n J (x) (1)n p 2n p , n0 n!( p n)!2 R. -
Complex Analysis
Complex Analysis Andrew Kobin Fall 2010 Contents Contents Contents 0 Introduction 1 1 The Complex Plane 2 1.1 A Formal View of Complex Numbers . .2 1.2 Properties of Complex Numbers . .4 1.3 Subsets of the Complex Plane . .5 2 Complex-Valued Functions 7 2.1 Functions and Limits . .7 2.2 Infinite Series . 10 2.3 Exponential and Logarithmic Functions . 11 2.4 Trigonometric Functions . 14 3 Calculus in the Complex Plane 16 3.1 Line Integrals . 16 3.2 Differentiability . 19 3.3 Power Series . 23 3.4 Cauchy's Theorem . 25 3.5 Cauchy's Integral Formula . 27 3.6 Analytic Functions . 30 3.7 Harmonic Functions . 33 3.8 The Maximum Principle . 36 4 Meromorphic Functions and Singularities 37 4.1 Laurent Series . 37 4.2 Isolated Singularities . 40 4.3 The Residue Theorem . 42 4.4 Some Fourier Analysis . 45 4.5 The Argument Principle . 46 5 Complex Mappings 47 5.1 M¨obiusTransformations . 47 5.2 Conformal Mappings . 47 5.3 The Riemann Mapping Theorem . 47 6 Riemann Surfaces 48 6.1 Holomorphic and Meromorphic Maps . 48 6.2 Covering Spaces . 52 7 Elliptic Functions 55 7.1 Elliptic Functions . 55 7.2 Elliptic Curves . 61 7.3 The Classical Jacobian . 67 7.4 Jacobians of Higher Genus Curves . 72 i 0 Introduction 0 Introduction These notes come from a semester course on complex analysis taught by Dr. Richard Carmichael at Wake Forest University during the fall of 2010. The main topics covered include Complex numbers and their properties Complex-valued functions Line integrals Derivatives and power series Cauchy's Integral Formula Singularities and the Residue Theorem The primary reference for the course and throughout these notes is Fisher's Complex Vari- ables, 2nd edition. -
The Standard Form of a Differential Equation
Fall 06 The Standard Form of a Differential Equation Format required to solve a differential equation or a system of differential equations using one of the command-line differential equation solvers such as rkfixed, Rkadapt, Radau, Stiffb, Stiffr or Bulstoer. For a numerical routine to solve a differential equation (DE), we must somehow pass the differential equation as an argument to the solver routine. A standard form for all DEs will allow us to do this. Basic idea: get rid of any second, third, fourth, etc. derivatives that appear, leaving only first derivatives. Example 1 2 d d 5 yx()+3 ⋅ yx()−5yx ⋅ () 4x⋅ 2 dx dx This DE contains a second derivative. How do we write a second derivative as a first derivative? A second derivative is a first derivative of a first derivative. d2 d d yx() yx() 2 dx dxxd Step 1: STANDARDIZATION d Let's define two functions y0(x) and y1(x) as y0()x yx() and y1()x y0()x dx Then this differential equation can be written as d 5 y1()x +3y ⋅ 1()x −5y ⋅ 0()x 4x dx This DE contains 2 functions instead of one, but there is a strong relationship between these two functions d y1()x y0()x dx So, the original DE is now a system of two DEs, d d 5 y1()x y0()x and y1()x +3y ⋅ 1()x −5y ⋅ 0()x 4x⋅ dx dx The convention is to write these equations with the derivatives alone on the left-hand side. d y0()x y1()x dx This is the first step in the standardization process. -
On Bounds of the Sine and Cosine Along Straight Lines on the Complex Plane
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 19 September 2018 doi:10.20944/preprints201809.0365.v1 Peer-reviewed version available at Acta Universitatis Sapientiae, Mathematica 2019, 11, 371-379; doi:10.2478/ausm-2019-0027 ON BOUNDS OF THE SINE AND COSINE ALONG STRAIGHT LINES ON THE COMPLEX PLANE FENG QI Institute of Mathematics, Henan Polytechnic University, Jiaozuo, Henan, 454010, China College of Mathematics, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, 028043, China Department of Mathematics, College of Science, Tianjin Polytechnic University, Tianjin, 300387, China E-mail: [email protected], [email protected] URL: https: // qifeng618. wordpress. com Abstract. In the paper, the author discusses and computes bounds of the sine and cosine along straight lines on the complex plane. 1. Motivations In the theory of complex functions, the sine and cosine on the complex plane C are denoted and defined by eiz − e−iz e−iz + e−iz sin z = and cos z = ; 2i 2 where z = x + iy and x; y 2 R. When z = x 2 R, these two functions become sin x and cos x which satisfy the periodicity and boundedness sin(x + 2kπ) = sin x; cos(x + 2kπ) = cos x; j sin xj ≤ 1; j cos xj ≤ 1 for k 2 Z. On the other hand, when z = iy for y 2 R, e−y − ey e−y + ey sin(iy) = ! ±i1 and cos(iy) = ! +1 2i 2 as y ! ±∞. These imply that the sine and cosine are bounded on the real x-axis, but unbounded on the imaginary y-axis. Motivated by the above boundedness, we naturally guess that the complex func- tions sin z and cos z for z 2 C are (1) bounded on all straight lines parallel to the real x-axis, (2) unbounded on all straight lines whose slopes are not horizontal. -
CORSO ESTIVO DI MATEMATICA Differential Equations Of
CORSO ESTIVO DI MATEMATICA Differential Equations of Mathematical Physics G. Sweers http://go.to/sweers or http://fa.its.tudelft.nl/ sweers ∼ Perugia, July 28 - August 29, 2003 It is better to have failed and tried, To kick the groom and kiss the bride, Than not to try and stand aside, Sparing the coal as well as the guide. John O’Mill ii Contents 1Frommodelstodifferential equations 1 1.1Laundryonaline........................... 1 1.1.1 Alinearmodel........................ 1 1.1.2 Anonlinearmodel...................... 3 1.1.3 Comparingbothmodels................... 4 1.2Flowthroughareaandmore2d................... 5 1.3Problemsinvolvingtime....................... 11 1.3.1 Waveequation........................ 11 1.3.2 Heatequation......................... 12 1.4 Differentialequationsfromcalculusofvariations......... 15 1.5 Mathematical solutions are not always physically relevant . 19 2 Spaces, Traces and Imbeddings 23 2.1Functionspaces............................ 23 2.1.1 Hölderspaces......................... 23 2.1.2 Sobolevspaces........................ 24 2.2Restrictingandextending...................... 29 2.3Traces................................. 34 1,p 2.4 Zero trace and W0 (Ω) ....................... 36 2.5Gagliardo,Nirenberg,SobolevandMorrey............. 38 3 Some new and old solution methods I 43 3.1Directmethodsinthecalculusofvariations............ 43 3.2 Solutions in flavours......................... 48 3.3PreliminariesforCauchy-Kowalevski................ 52 3.3.1 Ordinary differentialequations............... 52 3.3.2 Partial differentialequations............... -
Chapter 2 Complex Analysis
Chapter 2 Complex Analysis In this part of the course we will study some basic complex analysis. This is an extremely useful and beautiful part of mathematics and forms the basis of many techniques employed in many branches of mathematics and physics. We will extend the notions of derivatives and integrals, familiar from calculus, to the case of complex functions of a complex variable. In so doing we will come across analytic functions, which form the centerpiece of this part of the course. In fact, to a large extent complex analysis is the study of analytic functions. After a brief review of complex numbers as points in the complex plane, we will ¯rst discuss analyticity and give plenty of examples of analytic functions. We will then discuss complex integration, culminating with the generalised Cauchy Integral Formula, and some of its applications. We then go on to discuss the power series representations of analytic functions and the residue calculus, which will allow us to compute many real integrals and in¯nite sums very easily via complex integration. 2.1 Analytic functions In this section we will study complex functions of a complex variable. We will see that di®erentiability of such a function is a non-trivial property, giving rise to the concept of an analytic function. We will then study many examples of analytic functions. In fact, the construction of analytic functions will form a basic leitmotif for this part of the course. 2.1.1 The complex plane We already discussed complex numbers briefly in Section 1.3.5. -
Differential Equations and Linear Algebra
Chapter 1 First Order Equations 1.1 Four Examples : Linear versus Nonlinear A first order differential equation connects a function y.t/ to its derivative dy=dt. That rate of change in y is decided by y itself (and possibly also by the time t). Here are four examples. Example 1 is the most important differential equation of all. dy dy dy dy 1/ y 2/ y 3/ 2ty 4/ y2 dt D dt D dt D dt D Those examples illustrate three linear differential equations (1, 2, and 3) and a nonlinear differential equation. The unknown function y.t/ is squared in Example 4. The derivative y or y or 2ty is proportional to the function y in Examples 1, 2, 3. The graph of dy=dt versus y becomes a parabola in Example 4, because of y2. It is true that t multiplies y in Example 3. That equation is still linear in y and dy=dt. It has a variable coefficient 2t, changing with time. Examples 1 and 2 have constant coefficient (the coefficients of y are 1 and 1). Solutions to the Four Examples We can write down a solution to each example. This will be one solution but it is not the complete solution, because each equation has a family of solutions. Eventually there will be a constant C in the complete solution. This number C is decided by the starting value of y at t 0, exactly as in ordinary integration. The integral of f.t/ solves the simplest differentialD equation of all, with y.0/ C : D dy t 5/ f.t/ The complete solution is y.t/ f.s/ds C : dt D D C Z0 1 2 Chapter 1. -
A Logarithmic Spiral in the Complex Plane Interpolating Between the Exponential and the Circular Functions
A logarithmic spiral in the complex plane interpolating between the exponential and the circular functions Alessandro Fonda Dipartimento di Matematica e Geoscienze, Universit`adegli Studi di Trieste P.le Europa 1, I-34127 Trieste, Italy Abstract. We propose a unified construction of the real exponential function and the trigonometric functions. To this aim, we prove the existence of a unique curve in the complex plane starting at time 0 from 1 and arriving after some time τ at a point ζ, lying in the first quadrant, with the homomorphism property f(x1 + x2) = f(x1)f(x2). 1 Introduction and statement of the result The aim of this paper is to provide a unified construction of the exponential and the trigonometric functions, by the use of rather elementary arguments in the complex plane. In doing this, we are faced with a result which seems to be rather new in literature. Here it is. Theorem 1 Let ζ be a nonzero complex number, with <ζ ≥ 0 and =ζ ≥ 0, and let τ be a positive real number. There exists a unique continuous function f : R ! C n f0g with the following properties: (a) f(0) = 1, f(τ) = ζ; (b) f(x1 + x2) = f(x1)f(x2) ; for every x1; x2 2 R; (c) <f(x) > 0 and =f(x) ≥ 0, for every x 2 ]0; τ[ . It is worth to emphasize two special cases. When ζ is a positive real number, say ζ = a > 0, and τ = 1, then f will be the real exponential function f(x) = ax : 1 3 2 1 -3 -2 -1 0 1 2 3 4 5 6 -1 -2 -3 Figure 1: The image and the graph of the function f On the other hand, when ζ is not real and jζj = 1, we will obtain a circular function with minimal period τ T = 2π : Arg(ζ) For example, if ζ = i and τ = π=2, we will get f(x) = cos x + i sin x : Our attention here, if not on the theorem itself, is focused on the con- struction of the function f, which permits to define the exponential and the trigonometric functions with a unified approach.