ECE Spring Prof. David R. Jackson ECE Dept. Notes 33

Similar documents
Notes 14 The Steepest-Descent Method

ECE Spring Prof. David R. Jackson ECE Dept. Notes 37

Notes 7 Analytic Continuation

ECE Spring Prof. David R. Jackson ECE Dept.

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder.

summation of series: sommerfeld-watson transformation

1. The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions.

Complex Variables & Integral Transforms

ECE Spring Prof. David R. Jackson ECE Dept. Notes 15

Notes 19 Gradient and Laplacian

CITY UNIVERSITY LONDON. BEng (Hons) in Electrical and Electronic Engineering PART 2 EXAMINATION. ENGINEERING MATHEMATICS 2 (resit) EX2003

Appendix 2 Complex Analysis

NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part I

MTH3101 Spring 2017 HW Assignment 4: Sec. 26: #6,7; Sec. 33: #5,7; Sec. 38: #8; Sec. 40: #2 The due date for this assignment is 2/23/17.

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 17

THE GREEN FUNCTION. Contents

MTH 3102 Complex Variables Final Exam May 1, :30pm-5:30pm, Skurla Hall, Room 106

Fritz Hörmann MATH 316: Complex Analysis Fall 2010 Solutions to exercise sheet 2

III.2. Analytic Functions

Math 312 Fall 2013 Final Exam Solutions (2 + i)(i + 1) = (i 1)(i + 1) = 2i i2 + i. i 2 1

Today. ESE 531: Digital Signal Processing. IIR Filter Design. Impulse Invariance. Impulse Invariance. Impulse Invariance. ω < π.

A system that is both linear and time-invariant is called linear time-invariant (LTI).

Complex Homework Summer 2014

ZEROS OF MAASS FORMS

Asymptotics at regular singular points

= 2πi Res. z=0 z (1 z) z 5. z=0. = 2πi 4 5z

MATH 312 Section 7.1: Definition of a Laplace Transform

Two Dimensional Linear Systems of ODEs

Part IB. Complex Analysis. Year

ECE Spring Prof. David R. Jackson ECE Dept. Notes 1

Signals and Systems. Lecture 11 Wednesday 22 nd November 2017 DR TANIA STATHAKI

Physics of Tsunamis. This is an article from my home page: Ole Witt-Hansen 2011 (2016)

Q 1.5: 1/s Sol: If you try to do a Taylor expansion at s = 0, the first term, w(0). Thus, the Taylor series expansion in s does not exist.

Math Final Exam.

1 Discussion on multi-valued functions

ECE 6340 Intermediate EM Waves. Fall 2016 Prof. David R. Jackson Dept. of ECE. Notes 16

u(e iθ )K(e iθ,z)dθ, z (1). (126) h(e iθ )K(e iθ,z)dθ, z (1),

Math Homework 2

Chapter 9. Analytic Continuation. 9.1 Analytic Continuation. For every complex problem, there is a solution that is simple, neat, and wrong.

Design of IIR filters

Lecture 1a. Complex numbers, phasors and vectors. Introduction. Complex numbers. 1a.1

Reading. 4. Affine transformations. Required: Watt, Section 1.1. Further reading:

COMPLEX VARIABLES. Principles and Problem Sessions YJ? A K KAPOOR. University of Hyderabad, India. World Scientific NEW JERSEY LONDON

Leplace s Equations. Analyzing the Analyticity of Analytic Analysis DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING. Engineering Math EECE

Summation of series: Sommerfeld-Watson transformation

MAT 1275: Introduction to Mathematical Analysis. Graphs and Simplest Equations for Basic Trigonometric Functions. y=sin( x) Function

* τσ σκ. Supporting Text. A. Stability Analysis of System 2

Exercises for Part 1

ECE 3620: Laplace Transforms: Chapter 3:

Complex Trigonometric and Hyperbolic Functions (7A)

4 Uniform convergence

THE UNIVERSITY OF WESTERN ONTARIO. Applied Mathematics 375a Instructor: Matt Davison. Final Examination December 14, :00 12:00 a.m.

Leplace s Equations. Analyzing the Analyticity of Analytic Analysis DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING. Engineering Math 16.

Lecture 4. Properties of Logarithmic Function (Contd ) y Log z tan constant x. It follows that

CHAPTER 3 ELEMENTARY FUNCTIONS 28. THE EXPONENTIAL FUNCTION. Definition: The exponential function: The exponential function e z by writing

The Riemann Zeta Function

Taylor and Laurent Series

3 What You Should Know About Complex Numbers

ECE Spring Prof. David R. Jackson ECE Dept. Notes 16

UNSTEADY LOW REYNOLDS NUMBER FLOW PAST TWO ROTATING CIRCULAR CYLINDERS BY A VORTEX METHOD

Problems 3 (due 27 January)

Hyperbolic Functions (1A)

4.3. Riemann Sums. Riemann Sums. Riemann Sums and Definite Integrals. Objectives

Contents. Dynamics and control of mechanical systems. Focuses on

NPTEL web course on Complex Analysis. A. Swaminathan I.I.T. Roorkee, India. and. V.K. Katiyar I.I.T. Roorkee, India

Second Midterm Exam Name: Practice Problems March 10, 2015

Mathematics of Physics and Engineering II: Homework problems

CHAPTER 5: LAPLACE TRANSFORMS

Complex Series (3A) Young Won Lim 8/17/13

A Review of Complex Numbers Ilya Pollak ECE 301 Signals and Systems Section 2, Fall 2010 Purdue University

Notes 18 Faraday s Law

Complex Analysis Qualifying Exam Solutions

CHAPTER 4. Elementary Functions. Dr. Pulak Sahoo

ECE Spring Prof. David R. Jackson ECE Dept. Notes 10

u = 0; thus v = 0 (and v = 0). Consequently,

Complex Methods: Example Sheet 1

COMPUTATIONAL METHODS AND ALGORITHMS Vol. I - Numerical Methods for Ordinary Differential Equations and Dynamic Systems - E.A.

Math 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy

Lecture Note #6 (Chap.10)

Eigenvalues and eigenvectors System Theory: electricmotor

X-RAYS OF THE RIEMANN ZETA AND XI FUNCTIONS

Here are brief notes about topics covered in class on complex numbers, focusing on what is not covered in the textbook.

ECE 3318 Applied Electricity and Magnetism. Spring Prof. David R. Jackson ECE Dept. Notes 28

Spotlight on the Extended Method of Frobenius

Notes 4 Electric Field and Voltage

= 2 x y 2. (1)

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 1

arxiv: v1 [math.cv] 18 Aug 2015

Physics 307. Mathematical Physics. Luis Anchordoqui. Wednesday, August 31, 16

Syllabus: for Complex variables

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial.

A REVIEW OF RESIDUES AND INTEGRATION A PROCEDURAL APPROACH

KINEMATICS OF CONTINUA

(1) Let f(z) be the principal branch of z 4i. (a) Find f(i). Solution. f(i) = exp(4i Log(i)) = exp(4i(π/2)) = e 2π. (b) Show that

Affine transformations. Brian Curless CSE 557 Fall 2014

Report submitted to Prof. P. Shipman for Math 641, Spring 2012

Strain Transformation and Rosette Gage Theory

Math 417 Midterm Exam Solutions Friday, July 9, 2010

Complex Analysis MATH 6300 Fall 2013 Homework 4

Math 185 Fall 2015, Sample Final Exam Solutions

Transcription:

ECE 6341 Spring 16 Prof. David R. Jackson ECE Dept. Notes 33 1

Complex Integral: Steepest-Descent Method Ω g z I f z e dz Ω = C This is an extension of Laplace s method to treat integrals in the complex plane. The method was published b Peter Debe in 199. Debe noted in his work that the method was developed in a unpublished note b Bernhard Riemann (1863). Peter Joseph William Debe (March 4, 1884 November, 1966) was a Dutch phsicist and phsical chemist, and Nobel laureate in Chemistr. Georg Friedrich Bernhard Riemann (September 17, 186 Jul, 1866) was an influential German mathematician who made lasting contributions to analsis and differential geometr, some of them enabling the later development of general relativit. http://en.wikipedia.org/wiki/peter_debe http://en.wikipedia.org/wiki/bernhard_riemann

Complex Integral: Ω g z I f z e dz Ω = C The functions f (z) and g(z) are analtic (except for poles or branch points), so that the path C ma be deformed if necessar (possibl adding residue contributions or branch-cut integrals). Saddle Point (SP): g ( z ) = g = x g = 3

Path deformation: If the path does not go through a saddle point, we assume that it can be deformed to do so. If an singularities are encountered during the path deformation, the must be accounted for (e.g., residue of captured poles). C = + z C C' C p z p X C p = π Res ( p ) F z dz j F z C p x C 4

Denote g( z) = u( z) + jv( z) Cauch Reimann eqs.: u x u v = v = x Hence u u v v = = = x x x x x u = 5

or u x u + = If u xx <, then u > Near the saddle point: 1 u( x, ) u( x, ) + uxx ( x x) 1 + u + u x x x Ignore (rotate coordinates to eliminate). 6

1 1 u x u x u x x u u x x (, ) (, ) + ( ) + ( ) + ( )( ) xx x In the rotated coordinate sstem: 1 1 u x u x u x x u (, ) (, ) + ( ) + ( ) xx Assume that the coordinate sstem is rotated so that u < u > xx 7

The u (x, ) function has a saddle shape near the saddle point: ux (, ) z x 8

ux (, ) x x z Note: The saddle does not necessaril open along one of the principal axes (onl when u x (x, ) = ). 9

Along an descending path (where the u function decreases): or Ω Ω g( z) g( z ) I ~ f z e e dz Ω g z C jω vz vz Ω uz uz I Ω ~ f z e e e dz Ω g z C Behaves like a delta function Both the phase and amplitude change along an arbitrar descending path C. If we can find a path along which the phase does not change (v is constant), then the integral will look like that in Laplace s method. 1

Choose path of constant phase: C : v z = v z = constant z C x 11

Gradient Propert (proof on next slide): ux, C is parallel to Hence C is either a path of steepest descent () or a path of steepest ascent (SAP). (Of course, we want to choose the.) : u(x,) decreases as fast as possible along the path awa from the saddle point. SAP: u(x,) increases as fast as possible along the path awa from the saddle point. 1

Proof of gradient propert g( z) = u( z) + jv( z) u u = xˆ + ˆ x v v = xˆ + ˆ x u v Hence, u v u v u v u v= + x x u u u u = + x x = v C Also, v C v ( is constant on C ) u x Hence u C 13

Recall: jω vz vz Ω uz uz I Ω ~ f z e e e dz Ω g z C Because the v function is constant along the, we have or Ω u( z) u( z ) I ~ f z e e dz Ω Ω Ω g z Ω g( z) g( z ) I ~ f z e e dz Ω g z This is real on the. 14

Local behavior near the saddle point 1 g z g z g z z z g z z z + ( ) + ( ) so 1 g z g z g z z z ( ) Denote g z = Re z z = re jφ jα z r φ x Then we have 1 ( + ) j g z g z Rr e α φ 15

1 g z g z Rr e α φ j( ) + 1 u z u z Rr α φ cos( + ) SAP: : α + φ = + πn α α φ =, + π α + φ = π + πn φ = α π, α π + π 1 uz uz ( ) = Rr vz vz = 1 uz uz ( ) = Rr vz vz = Note: The two paths are 9 o apart at the saddle point. 16

SAP SP u 9 o u increases u u decreases x 17

ux (, ) x z SAP 18

Ω Ω u( z) u( z ) I f z e e dz ~ Ωg z Define s u( z ) u( z) This defines z= zs () ux (, ) s x s > s < z z 19

Ωg ( z + ) Ωs dz Ω ~ I f z e e ds ds ~ dz Ω s Ω g z Ω ds s= I f z e e ds + (This gives the leading term of the asmptotic expansion.) Hence ~ I f z e Ωg z dz ds Ω s= π Ω

To evaluate the derivative: = ( ) g( z ) s u z u z = g z (Recall: v is constant along.) ds s = g z dz At the saddle point this gives =. Take one more derivative: ds ds d s s = g z dz dz dz 1

s = ds g ( z ) At : dz = Z 1/ so dz = ds g z s= 1/ Hence, we have 1/ Ωg( z ) π I( Ω) ~ f ( z ) e g ( z ) Ω

Note: There is an ambiguit in sign for the square root: dz = ds g z s= 1/ To avoid this ambiguit, define z θ arg dz ds s= = θ x 3

The derivative term is therefore dz = ds g z s= jθ e Hence π I Ω f z e e Ω g z Ω g z jθ ~ 4

To find θ : Denote: g z = Re z z = re jα jθ α = arg g z 1 1 g z g z g z z z Rr e α θ ( ) j( + ) = α + θ =± π θ α π = ± 5

θ α π θ = ± α = arg g z SAP x Note: The direction of integration determines The sign. The user must determine this. 6

Summar π I Ω f z e e Ω g z Ω g z jθ ~ α π θ = ± Ω g z I f z e dz Ω = C ( ) α = arg g z 7

Example J 1 Ω = π π / π / cos Ωcos z dz 1 = Re I Ω π where π / π / ( jcos z) Ω I e dz Ω = Hence, we identif: f ( z) = 1 g z = jcos z g z = jsin z = z = ± nπ 8

Example (cont.) π z = π x g( z) = jcos z g z = jcos z = j π α = arg g ( z ) = α π π π θ = ± = ± 4 π 3π θ = or 4 4 9

Example (cont.) Identif the and SAP: = cos( + ) = j[ cos xcosh jsin xsinh ] g z j x j ux, = sin xsinh vx, = cos xcosh and SAP: v( z) = v( z ) = constant cos xcosh = constant = cos cosh = 1 3

Example (cont.) and SAP: cos xcosh = 1 SAP Examination of the u function reveals which of the two paths is the. π C π x ux, = sin xsinh 31

Example (cont.) Vertical paths are added so that the path now has limits at infinit. = C+ Cv + Cv 1 It is now clear which choice is correct for the departure angle: θ π = 4 C v1 π π C C v x ( Ω ) = v1 v I I I I 3

Example (cont.) Ω g( z ) π I f ( z ) e e Ω g jθ ~ ( z ) This is the answer for I(Ω) if we ignore the contributions from the vertical paths. Hence, π I( Ω) ~ ( 1) e e Ω j π Ω j cos( j ) 4 or I so 4 ~ e Ω J π π j Ω Ω π 1 π j Ω Ω π Ω 4 ~ Re e 33

Example (cont.) Hence J ( Ω) π ~ cos Ω π Ω 4 34

Example (cont.) Examine the path C v1 (the path C v is similar). C v1 π π x I v1 π / = π / + j e Ω ( jcos z) dz Let z π = + j 35

Example (cont.) v1 π jωcos + j Ωsinh Ωsinh I = j e d = j e d = j e d since π cos + j = sin( j) = j sinh Use integration b parts (we can also use Watson s Lemma): 1 d ( Ω sinh I = j e ) d v1 Ωcosh d 1 j Ωcosh ( Ω sinh e ) 1 I j v1 Ω 36

Example (cont.) Hence, 1 I = O v1 Ω Note: I v1 is negligible compared to the saddle-point contribution as Ω. However, if we want an asmptotic expansion that is accurate to order 1/ Ω, then the vertical paths must be considered. 37

Example (cont.) Alternative evaluation of I v1 using Watson s Lemma (alternative form): v1 Ω sinh = Use s = sinh ( ) I j e d s d Ω I = j e ds v1 ds ds = cosh d ( ) = = = Ωs 1 j e ds cosh ( ) Ωs 1 j e ds 1+ sinh Ωs 1 j e ds 1+ s ( ) Appling Watson s Lemma: so 1 1+ s ( 1) s 1 + Ωs Ωs s I j e ds j e ds v1 + 38

Example (cont.) Ωs Ωs s ( 1) I j e ds j e ds v1 + so Ωs j Ωs I j e ds + e s ds + v1 Recall: αn s e Ωs ds 1 = Γ αn + 1 n + Ω ( α 1) Hence, I x 1 ( 1! ) t x x t e dt Γ = ( 3) 1 j Γ j + + Ω Ω v1 3 39

Complete Asmptotic Expansion B using Watson's lemma, we can obtain the complete asmptotic expansion of the integral in the steepest-descent method, exactl as we did in Laplace's method. Define: b Ωg( z) I Ω = f z e dz a s g z g z dz s h( s) f ( z( s) ) ds Assume: Then we have n h s ~ as as s n=,1,... g( z ) a n + 1 Ω Γ ( 1) n=,,4 Ω n I ~ e Ω n+ n 4