Complex Powers and Logs (5A) Young Won Lim 10/17/13

Similar documents
SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

The Matrix Exponential

The Matrix Exponential

cos + i sin = cos + i sin = cos 2π iθ

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers:

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

2008 AP Calculus BC Multiple Choice Exam

Deift/Zhou Steepest descent, Part I

2F1120 Spektrala transformer för Media Solutions to Steiglitz, Chapter 1

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

EEO 401 Digital Signal Processing Prof. Mark Fowler

Exercise 1. Sketch the graph of the following function. (x 2

Derangements and Applications

Math 120 Answers for Homework 14

Lecture 2: Discrete-Time Signals & Systems. Reza Mohammadkhani, Digital Signal Processing, 2015 University of Kurdistan eng.uok.ac.

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x "±# ( ).

Limiting value of higher Mahler measure

First derivative analysis

1997 AP Calculus AB: Section I, Part A

Hydrogen Atom and One Electron Ions

A Propagating Wave Packet Group Velocity Dispersion

Homework #3. 1 x. dx. It therefore follows that a sum of the

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

MA 262, Spring 2018, Final exam Version 01 (Green)

Higher order derivatives

cycle that does not cross any edges (including its own), then it has at least

Sundials and Linear Algebra

Integration by Parts

10. The Discrete-Time Fourier Transform (DTFT)

Lie Groups HW7. Wang Shuai. November 2015

Problem Set 6 Solutions

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the

Chapter 10. The singular integral Introducing S(n) and J(n)

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH.

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

Principles of Humidity Dalton s law

Math 34A. Final Review

Brief Introduction to Statistical Mechanics

Calculus II (MAC )

(1) Then we could wave our hands over this and it would become:

Section 11.6: Directional Derivatives and the Gradient Vector

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Definitions of the Laplace Transform (1A) Young Won Lim 1/31/15


Complex Functions (1A) Young Won Lim 2/22/14

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results

Mathematics. Complex Number rectangular form. Quadratic equation. Quadratic equation. Complex number Functions: sinusoids. Differentiation Integration

Random Process Part 1

Background Complex Analysis (1A) Young Won Lim 9/2/14

ph People Grade Level: basic Duration: minutes Setting: classroom or field site

DIFFERENTIAL EQUATION

1997 AP Calculus AB: Section I, Part A

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

1973 AP Calculus AB: Section I

SCALING OF SYNCHROTRON RADIATION WITH MULTIPOLE ORDER. J. C. Sprott

EXST Regression Techniques Page 1

Where k is either given or determined from the data and c is an arbitrary constant.

MSLC Math 151 WI09 Exam 2 Review Solutions

DSP-First, 2/e. LECTURE # CH2-3 Complex Exponentials & Complex Numbers TLH MODIFIED. Aug , JH McClellan & RW Schafer

1 Isoparametric Concept

Supplementary Materials

Pipe flow friction, small vs. big pipes

General Vector Space (2A) Young Won Lim 11/4/12

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS

u 3 = u 3 (x 1, x 2, x 3 )

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

On the irreducibility of some polynomials in two variables

Estimation of apparent fraction defective: A mathematical approach

Homotopy perturbation technique

What is the product of an integer multiplied by zero? and divided by zero?

5.80 Small-Molecule Spectroscopy and Dynamics

Addition of angular momentum

Einstein Equations for Tetrad Fields

Differential Equations

Calculus concepts derivatives

1.2 Faraday s law A changing magnetic field induces an electric field. Their relation is given by:

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination

High Energy Physics. Lecture 5 The Passage of Particles through Matter

3 Finite Element Parametric Geometry

Quasi-Classical States of the Simple Harmonic Oscillator

Objective Mathematics

6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved.

arxiv: v1 [math.nt] 9 Jan 2014

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C

DEFINITE INTEGRALS MURRAY MANNOS. Submitted in Partial Fulfillment of the Requirements for the Degree of. Bachelor of Science in Mathematics

1 Minimum Cut Problem

An Extensive Study of Approximating the Periodic. Solutions of the Prey Predator System

Engineering Mathematics I. MCQ for Phase-I

Matrix Transformation (2A) Young Won Lim 11/9/12

Overview of Complex Numbers

CHAPTER 1. Introductory Concepts Elements of Vector Analysis Newton s Laws Units The basis of Newtonian Mechanics D Alembert s Principle

(Upside-Down o Direct Rotation) β - Numbers

4 x 4, and. where x is Town Square

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN

Ewald s Method Revisited: Rapidly Convergent Series Representations of Certain Green s Functions. Vassilis G. Papanicolaou 1

Transcription:

Complx Powrs and Logs (5A)

Copyright (c) 202, 203 Young W. Lim. Prmission is grantd to copy, distribut and/or modify this documnt undr th trms of th GNU Fr Documntation Licns, Vrsion.2 or any latr vrsion publishd by th Fr Softwar Foundation; with no Invariant Sctions, no Front-Covr Txts, and no Back-Covr Txts. A copy of th licns is includd in th sction ntitld "GNU Fr Documntation Licns". Plas snd corrctions (or suggstions) to youngwlim@hotmail.com. This documnt was producd by using OpnOffic and Octav.

Powr and Taylor Sris Powr Sris Taylor Sris n=0 c n (z a) n n=0 f (n) (a) n! (z a) n = c 0 + c (z a) + c 2 ( z a) 2 + always convrgs if z a < R can also b diffrntiatd = f (a) + f '(a)(z a) + f ''(a) 2 ( z a)2 + f (z) = n=0 f (n) (a) n! (z a) n only valid if th sris convrgs Complx Logs (5A) 3

Powr and Taylor Sris Powr Sris Taylor Sris n=0 c n (z a) n = c 0 + c (z a) + c 2 ( z a) 2 + always convrgs if can also b diffrntiatd z a < R n=0 f (n) (a) n! (z a) n = f (a) + f '(a)(z a) + f ''(a) 2 ( z a)2 + f (z) = n=0 f (n) (a) n! (z a) n only valid if th sris convrgs z = a + (z a) = a + ( z a a ) f (z) = z f (n) (0) = = n=0 ( ) n a ( z a a )n z = n=0 z n n! Complx Logs (5A) 4

Complx Log : ln z Powr Sris Taylor Sris z = n=0 ( ) n a ( z a a )n z = n=0 z n n! convrgs if z a < a for any a 0 convrgs for all z for a sufficintly far away from 0 th siz of th disk can b mad big d d z (ln z) = z w = z w = ln z ln z : intgral of th powr sris ln z : invrs of z xpansion of at z = z Complx Logs (5A) 5

Polar Rprsntation z = r i θ y = r sin θ z 2 = r 2 iθ 2 θ x = r cosθ z z 2 = r iθ r 2 iθ 2 z = x + i y = r cosθ + i r sinθ = r (cosθ + isin θ) = r r 2 i(θ + θ 2 ) = r iθ i arg (z) = z z z 2 = r iθ r 2 iθ 2 = r r 2 i(θ θ 2) Complx Logs (5A) 6

Principal Argumnt z = x + i y = r cosθ + ir sinθ = r (cosθ + isinθ) = r i θ i arg( z) = z arg( z) : to b a function of z, it nds to b uniquly dfind for vry z, by choosing its rang by spcifying its rang an argumnt can b uniquly dfind uniqu angls Th spcial argumnt Principal Argumnt Arg(z ) uniqu angls θ = arg(z ) 0 arg( z) < 2π π Arg( z) < +π x) 0 arg( z) < 2π fr to choos a mor convnint dfinition for a particular problm. Argumnt many angls θ = arg(z ) = Arg(z ) + 2kπ Complx Logs (5A) 7

Complx Log z = w = u + iv = u+i v i arg(u+i v ) w = u + i v = u i v iarg(u i v ) = z i arg(z) = u iarg(i v ) u =, arg( u ) = 0 z = z i arg(z) = u iarg(i v ) z = ln z i(arg(z)+2k π) z = u arg(z) = arg( i v ) u = ln z v = arg(z) + 2kπ 2kπ is ncssary assuming arg is uniquly dfind with its rang spcifid Complx Logs (5A) 8

Complx Log : ln z z = z i arg(z) = u iarg(i v ) z = ln z i(arg(z)+2k π) many angls ln z + i(arg(z ) + 2k π) z = ln z = ln z + i(arg(z) + 2kπ) 2kπ is ndd : assuming arg is uniquly dfind with its rang spcifid uniqu argumnt ln z + i arg(z) z = ln z = ln z + iarg(z) z = z i arg(z) ln z = ln z + iarg(z) Complx Logs (5A) 9

A mapping of ln z ln 2 = 0.693.5 2 ln(/2) ln(2) +π +3π/4 3π/4 +π/4 π/4 +3π/4 +π/4 π/4 3π/4 π Complx Logs (5A) 0

Complx Powrs z = w w = ln z a b = w a b = ln z z = w = ln z a b = w = ln ab = bln a z = ln z iarg(z) z b = b ln z ib arg( z) z b = w = ln z b = bln z z b = b(ln z + iarg( z)) = bln z ib arg(z) a z = z ln a i z arg(a) a z = w = ln az = z ln a a z = z (ln a + i arg(a)) = z ln a i z arg(a) ln z ral b ln z z ln a in gnral not ral Complx Logs (5A)

Complx Logs Exampl fr to choos mor convnint dfinition for a problm iπ+i 2k π ( ) = ln( ) = ln + i arg( ).5 2 i(π 2k π) i π (Principal Argumnt) ( ) i = i ln( ) i( i( π 2kπ)) = (+) (+i) ( ) ( i) π 2 kπ = +π = 0 +iπ /2 = = iπ iπ /2 = +π 2 kπ (Principal Argumnt) (+) i (+i) i ( ) i ( i) i = 0 = π/2 = +π = +π/2 0.207 23. 4.8 ln( ) +3 π +π (i) i () i ( i) i π 3 π ( ) i +π Complx Logs (5A) 2

Complx Powr Exampls : z i +i(0 2k π) (+) = (+) i i ln (+) = = 0 +2 kπ (+) i = 0 +i(π /2 2 kπ) (+i) = (+i) i = i ln(+i) = π/2 +2 kπ (+i) i = π/2 i(π 2 kπ) ( ) = ( ) i = i ln( ) = +π 2 kπ ( ) i = +π ( i) i i( π/2 2kπ) = ( i) i = i ln( i) = +π/2 2 kπ ( i) i = +π/2 (+2) ln2 + i (0 2 kπ) = (+2) i i(ln2+i(0 2 kπ)) = = 0 +2 kπ i ln2 (+2) i = 0 i ln2 (+2i) ln2 + i (π/2 2kπ) = (+2i) i i(ln2+i( π/2 2kπ)) = = π/2 +2 kπ i ln2 (+2i) i = π/2 i ln2 ( 2) ln2 i (π 2k π) = ( 2) i i(ln2 i( π 2k π)) = = +π 2 kπ i ln2 ( 2) i = +π i ln2 ( 2i) ln2 i (π/2 2kπ) = ( 2i) i i(ln2 i( π/2 2kπ)) = = +π/2 2 kπ i ln2 ( 2i) i = +π/2 i ln2 ln 2 = 0.693 cos(ln 2) = 0.769 sin(ln 2) = 0.639 π = 20.40 π/2 = 4.80 Complx Logs (5A) 3

Complx Roots z n a = 0 z 4 = z = a /n i(arg(a) / n+2kπ / n) z n = r n inθ = a = a iarg(a) z = π 4 + 2k π 4 r n = a nθ = arg(a) + 2kπ k=2 k= n r = a θ = arg(a) n + 2k π n k=3 k=0 Complx Logs (5A) 4

Complx Roots: z 4 = - z 4 = π 2kπ 4 = π k=2 k= 2kπ 4 = π 2 k=0 2kπ 4 = 0 π 4 2kπ 4 = 3 π 2 k=3 z n a = 0 z = a /n i(arg(a) / n+2kπ / n) n r = a θ = arg(a) n + 2k π n z = π 4 + 2k π 4 k=2 k=3 k= k=0 Complx Logs (5A) 5

Complx Roots : z 4 = 4 r = a θ = ( π + 2k π) z 4 4 = θ i θ i 2 θ i 3 θ i 4 0 arg(z) < 2π θ 0 = 4 π : π θ 0 4 = π 2π arg(z) < 4 π θ = + 4 π : +π θ 4 = π 4π arg(z) < 6π θ 2 = + 3 4 π : +3π θ 2 4 = π 6π arg(z) < 8π θ 3 = + 5 4 π : 5π θ 3 4 = π Complx Logs (5A) 6

Complx Powrs: z ½ θ 0 +2 π z dz = θ0 iθ/2 i iθ d θ z = θ 0 +2 π i i3 θ/2 dθ = [ 2 3 i3 θ/2 ]θ0 θ 0 +2 π z = z /2 +i arg( z)/2 θ 0 arg( z) < θ 0 + 2π = θ0 θ 0 < arg( z) θ 0 + 2π = 2 3 (i 3(θ 0+2 π)/2 i3 θ 0/2 ) = 2 3 i3 θ 0/2 ( i3 π ) = 4 3 i3 θ 0/2 th dfinition of z also dpnds on θ 0 th circular intgration dpnds on whr th closd circl bgins θ 0 implicitly assumd dfinition of z dpnds on θ 0 Complx Logs (5A) 7

Complx Powrs: z ½ ral x 0 complx z y 2 = x w 2 = z y = + x y = x w = + z w = z Th MATLAB's dfintion z = z /2 +i arg( z)/2 π < arg( z) +π a discontinuity in z whn th ngativ ral axis x 0 R{ z } 0 if w would want this, thn z = z /2 +i arg( z)/2 π < arg( z) < +π z = z /2 +i arg( z)/2 π arg( z) < +π a discontinuity in z whn th positiv ral axis π/2 < arg( z)/2 < +π /2 but w would hav xcludd all th pur imaginary numbrs also. Complx Logs (5A) 8

Branch Cut z = z /2 +i arg( z)/2 π < arg( z) +π z = z /2 +i arg( z)/2 0 < arg( z) +2π jump jump branch cut branch cut branch point branch point if w go around a branch point, thn thr is always a discontinuity somwhr Complx Logs (5A) 9

Winding Numbr (z ½ ) Considr computing th squar root of points along th diffrnt paths that ar continuous +i π/4 z = 2 z = 2 +i π/4 z = 2 +i π/4 +i π/4 z = 2 r : 2 r : 2 r : 2 r : 2 θ :0 π/4 θ :0 π/4 + 2π θ :0 π/4 + 4π θ :0 π/4 6π two classs of paths z = r +i θ = r +iθ/2 z = + 2 z = r +i(θ+2 π) = r +iθ/2 i π +i π/8 +i π/8 z = 2 vn numbr of rounding odd numbr of rounding Complx Logs (5A) 20

Rang of Argumnts (z ½ ) 2 r = 2 θ = 2 ( π 4 + 2kπ) z 2 = 2 + j π /4 θ i θ i 2 vn numbr of rounding 8 π 4 π 0 arg(z) < 2π : θ 0 = + 2 ( 4 π) π 4 θ 0 2 = 4 π 9 4 π 2π arg(z) < 4 π : θ = + 2 ( 9 4 π) 9 π 4 θ 2 = 9 4 π 9 8 π odd numbr of rounding a closd loop in a Rimann surfac = + Complx Logs (5A) 2

Domain & Rang Complx Plans (z ½ ) z = r +iθ = r +iθ/2 + r cos θ 2 + i r sin θ 2 z = r +i θ+2 π = r +i θ/2 i π r cos θ 2 i r sin θ 2 R{ z} = + r cos θ 2 R{ z} = r cos θ 2 I{ z} = + r sin θ 2 I{ z} = r sin θ 2 z z /2 +cosθ +cos θ 2 π θ < +π 2 π θ 2 < + 2 π π θ < +π π θ < +π +π θ < +3π + 2 π θ 2 < + 3 2 π +π θ < +3π +π θ < +3π cosθ cos θ 2 Domain Complx Plan Rang Complx Plan Complx Logs (5A) 22

Rimann Surfac (z ½ ) - () R{ z} = + r cos θ 2 R{ z} = r cos θ 2 +cos θ 2 +cos θ 2 cos θ 2 cos θ 2 Rimann surfac for th function ƒ(z) = z. Th two horizontal axs rprsnt th ral and imaginary parts of z, whil th vrtical axis rprsnts th ral part of z. For th imaginary part of z, rotat th plot 80 around th vrtical axis. [wikipdia.org] For visualizing a multivalud function. a gomtric construction that prmits surfacs to b th domain or rang of a multivalud function. Complx Logs (5A) 23

Rimann Surfac (z ½ ) - (2) y R( z) x +cos θ 2 I{ z} π θ < +π π θ < +π R{ z} cos θ 2 Domain R. surfac Rang http://scipp.ucsc.du/~habr/ph6a/complxfunbranchthory.pdf Complx Logs (5A) 24

Rimann Surfac (z ½ ) - (3) R{ z} = +cos θ 2 y R( z) x z z /2 c π θ < +π a +π θ < +3π b a b c Domain Rang R{ z} = cos θ 2 http://scipp.ucsc.du/~habr/ph6a/complxfunbranchthory.pdf Complx Logs (5A) 25

Rimann Surfac (z ½ ) - (4) This Rimann surfac maks full squar root function continuous for all z 0. btwn th point a and th point b, th domain switchs from th uppr half-plan to th lowr half-plan. no othr way to gt from th point a to th point b xcpt going countrclockwis. y R( z) x c π θ < +π a b a a b c +π θ < +3π c b Domain Rang http://scipp.ucsc.du/~habr/ph6a/complxfunbranchthory.pdf Complx Logs (5A) 26

Rimann Surfac A on-dimnsional complx manifold. can b thought of as "dformd vrsions" of th complx plan: locally nar vry point thy look lik patchs of th complx plan, but th global topology can b quit diffrnt. For xampl, thy can look lik a sphr or a torus or a coupl of shts glud togthr. Holomorphic functions (conformal maps, rgular function) Rimann surfacs ar nowadays considrd th natural stting for studying th global bhavior of ths functions, spcially multivalud functions such as th squar root and othr algbraic functions, or th logarithm. Th phras "holomorphic at a point z0" mans not just diffrntiabl at z0, but diffrntiabl vrywhr within som nighborhood of z0. Th xistnc of a complx drivativ in a nighborhood is a vry strong condition, for it implis that any holomorphic function is actually infinitly diffrntiabl and qual to its own Taylor sris.. Complx Logs (5A) 27

Rfrncs [] http://n.wikipdia.org/ [2] http://plantmath.org/ [3] M.L. Boas, Mathmatical Mthods in th Physical Scincs [4] E. Kryszig, Advancd Enginring Mathmatics [5] D. G. Zill, W. S. Wright, Advancd Enginring Mathmatics [6] T. J. Cavicchi, Digital Signal Procssing [7] F. Walff, Math 32 Nots, UW 202/2/ [8] J. Naring, Univrsity of Miami [9] http://scipp.ucsc.du/~habr/ph6a/complxfunbranchthory.pdf