Midterm Solutions - Math 440/508, Fall 2014

Size: px
Start display at page:

Download "Midterm Solutions - Math 440/508, Fall 2014"

Transcription

1 Midterm Solutions - Math 44/58, Fall 24. Let f be holomorphic in an open connected set containing the annulus {z C : r z z r 2 }, where < r < r 2. (a Use an appropriate contour to obtain an integral self-reproducing formula analogous to the Cauchy integral formula for f(z in terms of the values of f on C r and C r2. Here C r = {z C : z z = r}. (b Use the formula you obtained in part (a to derive the Laurent series expansion of f: f(z = a n (z z n, n= and verify that it converges absolutely and uniformly on the annulus. (c Derive integral expressions for a n in terms of f analogous to the derivative forms of Cauchy integral formula. z z C r C r2 Proof. Let C r, C r2 denote the circle centered at z radius r, r 2 respectively with < r < r 2. Since C r, C r2 is compact living in the open set Ω (i.e. disjoint from the closed set Ω C there is some δ neighborhood of C r, C r2 that live inside Ω. Let ρ, ρ 2 be such that < ρ < r < r 2 < ρ 2 and C ρ, C ρ2 Ω. Let S z be the boundary of the gray sector depicted in the figure which does not contain z. Let R z be the boundary of the remaining white region. Here all integrals over closed curve are taken counterclockwise which we denote by. Let g(ζ =. Hence by Cauchy s theorem, ζ z g(ζdζ =, g(ζdζ = f(z S z R z

2 2 Here our integrals are taken in anticlockwise direction. Hence ( f(z = [ ] g(ζdζ + g(ζdζ = [ S Z R Z ζ z dζ C r2 C r ] ζ z dζ Note that M for some M > on C ρ2 or C ρ which are compact. Now if ζ C ρ2 and z z r 2 then z z ζ z < hence ζ z = (ζ z (z z = (ζ z ( z z ζ z = ζ z ( z z n= ζ z We claim that ( z z n ζ z n= ζ z converges uniformly on {z : z z r 2 }. To see this,if z z r 2 we have ( n z z M n r 2 ζ z ζ z r 2 ρ 2 n= The series on RHS is convergent as r 2 /ρ 2 < and is independent of z hence it is easy to see that the convergence is uniform in the region. By uniform convergence (it is also uniform in ζ C ρ2, we may swap the sum and integral: C r2 ζ z dζ = n= ( C r2 In the same fashion, suppose z z r, ζ C ρ ζ z = n= dζ (z z (ζ z n+ n then (ζ z (z z = (z z ( ζ z z z = z z For all such z, we have z z ( n ζ z M n= z z r n= ( n ρ r n ( ζ z n= z z the series on RHS is convergent as ρ /r < as is independent of z hence the series is uniformly convergent on z z ρ. Swapping the sum and the integral, one has C r ζ z dζ = ( (ζ z n dζ (z z (n+ n= C r = ( (ζ z n dζ (z z n C r n= n

3 By equation (, we have f(z = [ C r2 ζ z dζ ( = = where n= n= C r2 a n (z z n C r dζ (ζ z n a n = ] ζ z dζ (z z n + { C r2 n= (ζ z dζ if n C n+ r (ζ z dζ if n <. n+ ( (ζ z n dζ (z z n C r where the series converges uniformly on {z : r z r 2 } Ω. Also we may obtain a more general formula from homotopy form of Cauchy s theorem. Two paths γ, γ with the same endpoints inside Ω is said to be homotopic if γ can be continuously deformed to γ with their endpoints keep fixed. Cauchy s theorem states that if f is holomorphic in Ω then dζ = γ dζ γ so we can write a n = γ dζ (ζ z n+ for any simple closed curve γ Ω, enclosing z. 2. (a Determine whether the limit R lim R R e ix2 dx exists. If yes, find its value. If not, justify why not. π 4 R

4 4 Proof. Consider the positively oriented closed contour Γ(R consisting of the three curves Γ (R := [, R], Γ 2 (R := {Re iθ : θ π 4 }, Γ (R := {te i π 4 : t R}, (2 Since the function f(z = e iz2 is entire, Cauchy s theorem gives Γ R f(z dz =, or, I (R + I 2 (R + I (R = for every R. Here I j (R denotes the integral of f over Γ j (R with orientation consistent with Γ. We observe that R I (R = e it2 e i π 2 + i 2 I 2 (R = R π 4 π 4 e i π 4 dt = + i 2 R e t2 dt = e ir2 e 2iθ ire iθ dθ ( + i 2 π 4 e cr2θ dθ e dr2 cr e t2 dt π, as R, whereas 2 e R2 sin(2θ R dθ 2 cr. Here c and d are fixed positive constants. Inserting these estimates into (2, we obtain that R π( + i lim e ix2 dx = 2 lim I (R =. R R R 2 (b By integrating a branch of log z/(z around the boundary of an indented sector of aperture 2π, show that log x 4π2 dx = x 27.

5 5 ɛ R ( Proof. We choose the contour Γ(ɛ, R to be a positively oriented closed curve, consisting of the following pieces: Γ (R = [, R], Γ 2 (R = {Re iθ : θ 2π }, Γ (ɛ, R = {te : t [ɛ, ɛ] [ + ɛ, R]}, Γ 4 (ɛ = {e + ɛe iθ : π θ 2π }, Γ 5 (ɛ = {ɛe iθ : θ 2π }. Define a complex branch of the logarithm on C \ (, ], and note that for every < ɛ R, the function f(z = log z/(z is holomorphic on an open set containing Γ(ɛ, R and its interior. In particular, observe that z = is a removable singularity for f, and that the only pole of f that Γ(ɛ, R approaches arbitrarily closely is z = e. Since Γ(ɛ, R is homotopic to zero, Cauchy s theorem implies that f(z dz =. Γ(ɛ,R We will show below that (4 lim f(z dz =, R (5 (6 lim ɛ R Γ 2 (R On the other hand, it is easy to verify that f(z dz = e Γ (ɛ,r lim f(z dz =, ɛ Γ 5 (ɛ log x + x dx, lim = πires(f; e ɛ Γ π 2 = 4 (ɛ 9 e ( + i.

6 6 Assuming these for the moment, the evaluation of the integral is completed as follows. Let I denote the integral to the determined, and let J be the principal value integral given by dx x dx. J = lim ɛ x (, x >ɛ. Letting R and ɛ in (, and using (4, (5 and (6, we obtain that I + e π2 (I + J + 9 e ( + i =. Multiplying both sides of the equation above by e, and then equating real parts of both sides, we obtain that I = 2 π2 4π2, or I = Proof of (4. It remains to prove (4. We estimate both integrals by parametrizing the respective curves. 2π f(z dz log(re iθ R e iθ Rieiθ dθ Γ 2 (R Γ 2 (ɛ C R log R as R. R 2π f(z dz log(ɛe iθ ɛ e iθ ɛieiθ dθ ɛ log ɛ C ɛ as ɛ.. Justify the following statements. (a If m and n are positive integers, then the polynomial p(z = + z + z2 2! + + zm m! + zn has exactly n zeros inside the unit disc, counting multiplicities. Proof. Let p(z = + z + z2 + + zm + 2! m! zn then on {z; z = } we have p(z + ( z n = + z + zm m! z m e z < m! Hence for z =, p(z + ( z n < p(z + z n. By Rouche s Theorem, p(z and z n have the same number of zeros in {z : z < } and it is easy to see that z n has n roots (counted with multiplicities with z <, the same is true for p(z. Note: You can t compare two complex numbers, just their absolute values. n=

7 (b For any λ C with λ < and for n, the function (z n e z λ has n zeros satisfying z < and no other zeros in the right half plane. Proof. Let f(z = (z n e z λ, λ < and g(z = (z n e z. Let Ω = {z : z < } On Ω we have R(z > and f(z. Hence f(z + g(z = λ < (z n e z = g(z < f(z + g(z By Rouche s Theorem, f, g have the same number of zeros inside Ω. Since e z has no zeros, it is easy to see that g has n zeros (counted with multiplicities inside Ω and hence the same is true for f. On {R(z > } { z > }, we have (z n e z = z n e R(z e > λ hence no other zeros on the right half plane Let f be analytic in the punctured disc G = B(a; R \ {a}. (a Show that if f(x + iy 2 dy dx <, then f has a removable singularity at z = a. G (b Suppose that p > and f(x + iy p dy dx <. G What can you conclude about the nature of singularity of f at z = a? Proof. WLOG, assume a =. Suppose f has a pole of order n at then f(z = g(z z n for some g holomorphic on B(, R, g(. For ɛ > small enough we have C 2 > g(z > C > on B(, ɛ for some C, C 2. Now using polar coordinate, B(,ɛ\{} g(x, y p dxdy < z n B(,ɛ\{} 2π ɛ dxdy < z np r np rdrdθ < np + > p < 2 n Hence f has a pole of order n which is the biggest positive integer that is less than 2/p. If f has a essential singularity at then by considering its Laurent s Series, we may find a sequence of functions g N which has a pole of order N at and g N f uniformly on δ z ɛ for any δ >. Hence as N g N p f p δ z ɛ δ z ɛ

8 8 But when N is large enough so that p 2 then N lim sup g N p = M M z ɛ This would imply lim sup f p = M M z ɛ so f cannot have essential singularity at. In particular if p = 2, we must have a removable singularity there. We conclude that the integral of f p on G cannot converge for any p > if f has an essential singularity at a. Note: We may not have uniform convergence B(, R\{} so we may not directly interchange the limit and the integral directly on this domain. 5. Determine whether each of the following statements is true or false. Provide a proof or a counterexample, as appropriate, in support of your answer. (a There exists a function f that is meromorphic on C such that Res(f; a. a C pole of f Here Res(f; a denotes the residue of f at a. (Hint: By definition, Res(f; = Res( f;, where f(z = z 2 f( z. Proof. The statement is false. By the residue theorem and a change of variable w = /z, we see that for any meromorphic function f on C and a constant R > sufficiently large, Res(f, = z =R z f( 2 z dz = w =R f(w dw = a C a pole of f Res(f, a. Hence the sum of the residues of a meromorphic function on the extended complex plane is always zero. (b The number of zeros of a meromorphic function in C is the same as the number of poles, both counted with multiplicity. Proof. The statement is true. A meromorphic function in C is a rational function P/Q, where P and Q are polynomials with no common root. Let m and n denote the degrees of P and Q respectively. Then P/Q has exactly m zeros and n poles in C, counting multiplicities. If m = n, these account for all zeros and poles of P/Q in C, and the statement has been verified. If m < n, then P/Q has a zero of multiplicity

9 (7 n m at, whereas if m > n, then P/Q has a pole of order m n at. Thus the total number of zeros in C matches the total number of poles in all cases. (c For any two polynomials P and Q such that deg(p deg(q 2, and Q only has simple roots, the following identity holds: P(a Q (a =. a:q(a= Proof. The statement is true. Since Q has only finitely many zeros, choose R > large enough so that B(; Rcontains all the roots of Q. Further these roots are simple, hence the rational function P/Q has at most simple poles, located at the roots of Q. By the residue theorem, z =R P (z Q(z dz = On one hand, if a is a root of Q, then a:q(a= (8 Res(a; P/Q = lim z a (z a P (z Q(z = lim z a (9 Res(a; P/Q. P (z Q(z Q(a z a = lim z a P (a Q (a. On the other hand, the assumption deg(p deg(q 2 implies that P (z Q(z dz CRdeg(P deg(q+ as R. z =R Combining (7, (8 and (9 yields the desired claim. 9

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w.

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w. hapter omplex integration. omplex number quiz. Simplify 3+4i. 2. Simplify 3+4i. 3. Find the cube roots of. 4. Here are some identities for complex conjugate. Which ones need correction? z + w = z + w,

More information

3 Contour integrals and Cauchy s Theorem

3 Contour integrals and Cauchy s Theorem 3 ontour integrals and auchy s Theorem 3. Line integrals of complex functions Our goal here will be to discuss integration of complex functions = u + iv, with particular regard to analytic functions. Of

More information

5.3 Improper Integrals Involving Rational and Exponential Functions

5.3 Improper Integrals Involving Rational and Exponential Functions Section 5.3 Improper Integrals Involving Rational and Exponential Functions 99.. 3. 4. dθ +a cos θ =, < a

More information

MATH 52: MATLAB HOMEWORK 2

MATH 52: MATLAB HOMEWORK 2 MATH 52: MATLAB HOMEWORK 2. omplex Numbers The prevalence of the complex numbers throughout the scientific world today belies their long and rocky history. Much like the negative numbers, complex numbers

More information

4. Complex integration: Cauchy integral theorem and Cauchy integral formulas. Definite integral of a complex-valued function of a real variable

4. Complex integration: Cauchy integral theorem and Cauchy integral formulas. Definite integral of a complex-valued function of a real variable 4. Complex integration: Cauchy integral theorem and Cauchy integral formulas Definite integral of a complex-valued function of a real variable Consider a complex valued function f(t) of a real variable

More information

Lecture Notes on Polynomials

Lecture Notes on Polynomials Lecture Notes on Polynomials Arne Jensen Department of Mathematical Sciences Aalborg University c 008 Introduction These lecture notes give a very short introduction to polynomials with real and complex

More information

RAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A

RAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A RAJALAKSHMI ENGINEERING COLLEGE MA 26 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS. Solve (D 2 + D 2)y = 0. 2. Solve (D 2 + 6D + 9)y = 0. PART A 3. Solve (D 4 + 4)x = 0 where D = d dt 4. Find Particular Integral:

More information

1 if 1 x 0 1 if 0 x 1

1 if 1 x 0 1 if 0 x 1 Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or

More information

Notes on metric spaces

Notes on metric spaces Notes on metric spaces 1 Introduction The purpose of these notes is to quickly review some of the basic concepts from Real Analysis, Metric Spaces and some related results that will be used in this course.

More information

1. Prove that the empty set is a subset of every set.

1. Prove that the empty set is a subset of every set. 1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since

More information

Metric Spaces. Chapter 7. 7.1. Metrics

Metric Spaces. Chapter 7. 7.1. Metrics Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some

More information

ON DEGREE OF APPROXIMATION ON A JORDAN CURVE TO A FUNCTION ANALYTIC INTERIOR TO THE CURVE BY FUNCTIONS NOT NECESSARILY ANALYTIC INTERIOR TO THE CURVE

ON DEGREE OF APPROXIMATION ON A JORDAN CURVE TO A FUNCTION ANALYTIC INTERIOR TO THE CURVE BY FUNCTIONS NOT NECESSARILY ANALYTIC INTERIOR TO THE CURVE ON DEGREE OF APPROXIMATION ON A JORDAN CURVE TO A FUNCTION ANALYTIC INTERIOR TO THE CURVE BY FUNCTIONS NOT NECESSARILY ANALYTIC INTERIOR TO THE CURVE J. L. WALSH It is our object here to consider the subject

More information

Complex Function Theory. Second Edition. Donald Sarason >AMS AMERICAN MATHEMATICAL SOCIETY

Complex Function Theory. Second Edition. Donald Sarason >AMS AMERICAN MATHEMATICAL SOCIETY Complex Function Theory Second Edition Donald Sarason >AMS AMERICAN MATHEMATICAL SOCIETY Contents Preface to the Second Edition Preface to the First Edition ix xi Chapter I. Complex Numbers 1 1.1. Definition

More information

MATH 381 HOMEWORK 2 SOLUTIONS

MATH 381 HOMEWORK 2 SOLUTIONS MATH 38 HOMEWORK SOLUTIONS Question (p.86 #8). If g(x)[e y e y ] is harmonic, g() =,g () =, find g(x). Let f(x, y) = g(x)[e y e y ].Then Since f(x, y) is harmonic, f + f = and we require x y f x = g (x)[e

More information

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)!

HOMEWORK 5 SOLUTIONS. n!f n (1) lim. ln x n! + xn x. 1 = G n 1 (x). (2) k + 1 n. (n 1)! Math 7 Fall 205 HOMEWORK 5 SOLUTIONS Problem. 2008 B2 Let F 0 x = ln x. For n 0 and x > 0, let F n+ x = 0 F ntdt. Evaluate n!f n lim n ln n. By directly computing F n x for small n s, we obtain the following

More information

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4)

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4) ROOTS OF POLYNOMIAL EQUATIONS In this unit we discuss polynomial equations. A polynomial in x of degree n, where n 0 is an integer, is an expression of the form P n (x) =a n x n + a n 1 x n 1 + + a 1 x

More information

DEFINITION 5.1.1 A complex number is a matrix of the form. x y. , y x

DEFINITION 5.1.1 A complex number is a matrix of the form. x y. , y x Chapter 5 COMPLEX NUMBERS 5.1 Constructing the complex numbers One way of introducing the field C of complex numbers is via the arithmetic of matrices. DEFINITION 5.1.1 A complex number is a matrix of

More information

The General Cauchy Theorem

The General Cauchy Theorem Chapter 3 The General Cauchy Theorem In this chapter, we consider two basic questions. First, for a given open set Ω, we try to determine which closed paths in Ω have the property that f(z) dz = 0for every

More information

Availability of a system with gamma life and exponential repair time under a perfect repair policy

Availability of a system with gamma life and exponential repair time under a perfect repair policy Statistics & Probability Letters 43 (1999) 189 196 Availability of a system with gamma life and exponential repair time under a perfect repair policy Jyotirmoy Sarkar, Gopal Chaudhuri 1 Department of Mathematical

More information

COMPLEX NUMBERS AND SERIES. Contents

COMPLEX NUMBERS AND SERIES. Contents COMPLEX NUMBERS AND SERIES MIKE BOYLE Contents 1. Complex Numbers Definition 1.1. A complex number is a number z of the form z = x + iy, where x and y are real numbers, and i is another number such that

More information

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5. PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces

More information

Fundamental Theorems of Vector Calculus

Fundamental Theorems of Vector Calculus Fundamental Theorems of Vector Calculus We have studied the techniques for evaluating integrals over curves and surfaces. In the case of integrating over an interval on the real line, we were able to use

More information

MOP 2007 Black Group Integer Polynomials Yufei Zhao. Integer Polynomials. June 29, 2007 Yufei Zhao yufeiz@mit.edu

MOP 2007 Black Group Integer Polynomials Yufei Zhao. Integer Polynomials. June 29, 2007 Yufei Zhao yufeiz@mit.edu Integer Polynomials June 9, 007 Yufei Zhao yufeiz@mit.edu We will use Z[x] to denote the ring of polynomials with integer coefficients. We begin by summarizing some of the common approaches used in dealing

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

Solutions for Math 311 Assignment #1

Solutions for Math 311 Assignment #1 Solutions for Math 311 Assignment #1 (1) Show that (a) Re(iz) Im(z); (b) Im(iz) Re(z). Proof. Let z x + yi with x Re(z) and y Im(z). Then Re(iz) Re( y + xi) y Im(z) and Im(iz) Im( y + xi) x Re(z). () Verify

More information

Differentiating under an integral sign

Differentiating under an integral sign CALIFORNIA INSTITUTE OF TECHNOLOGY Ma 2b KC Border Introduction to Probability and Statistics February 213 Differentiating under an integral sign In the derivation of Maximum Likelihood Estimators, or

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES Contents 1. Random variables and measurable functions 2. Cumulative distribution functions 3. Discrete

More information

Differentiation and Integration

Differentiation and Integration This material is a supplement to Appendix G of Stewart. You should read the appendix, except the last section on complex exponentials, before this material. Differentiation and Integration Suppose we have

More information

How To Prove The Dirichlet Unit Theorem

How To Prove The Dirichlet Unit Theorem Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if

More information

NOTES FOR MATH 520: COMPLEX ANALYSIS

NOTES FOR MATH 520: COMPLEX ANALYSIS NOTES FOR MATH 520: COMPLEX ANALYSIS KO HONDA 1. Complex numbers 1.1. Definition of C. As a set, C = R 2 = {(x, y) x, y R}. In other words, elements of C are pairs of real numbers. C as a field: C can

More information

On the Eigenvalues of Integral Operators

On the Eigenvalues of Integral Operators Çanaya Üniversitesi Fen-Edebiyat Faültesi, Journal of Arts and Sciences Say : 6 / Aral 006 On the Eigenvalues of Integral Operators Yüsel SOYKAN Abstract In this paper, we obtain asymptotic estimates of

More information

4. Expanding dynamical systems

4. Expanding dynamical systems 4.1. Metric definition. 4. Expanding dynamical systems Definition 4.1. Let X be a compact metric space. A map f : X X is said to be expanding if there exist ɛ > 0 and L > 1 such that d(f(x), f(y)) Ld(x,

More information

Metric Spaces Joseph Muscat 2003 (Last revised May 2009)

Metric Spaces Joseph Muscat 2003 (Last revised May 2009) 1 Distance J Muscat 1 Metric Spaces Joseph Muscat 2003 (Last revised May 2009) (A revised and expanded version of these notes are now published by Springer.) 1 Distance A metric space can be thought of

More information

x a x 2 (1 + x 2 ) n.

x a x 2 (1 + x 2 ) n. Limits and continuity Suppose that we have a function f : R R. Let a R. We say that f(x) tends to the limit l as x tends to a; lim f(x) = l ; x a if, given any real number ɛ > 0, there exists a real number

More information

SECTION 10-2 Mathematical Induction

SECTION 10-2 Mathematical Induction 73 0 Sequences and Series 6. Approximate e 0. using the first five terms of the series. Compare this approximation with your calculator evaluation of e 0.. 6. Approximate e 0.5 using the first five terms

More information

MMGF30, Transformteori och analytiska funktioner

MMGF30, Transformteori och analytiska funktioner MATEMATIK Göteborgs universitet Tentamen 06-03-8, 8:30-:30 MMGF30, Transformteori och analytiska funktioner Examiner: Mahmood Alaghmandan, tel: 77 53 74, Email: mahala@chalmers.se Telefonvakt: 07 97 5630

More information

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12

CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12 CONTINUED FRACTIONS AND PELL S EQUATION SEUNG HYUN YANG Abstract. In this REU paper, I will use some important characteristics of continued fractions to give the complete set of solutions to Pell s equation.

More information

Solutions to Practice Problems for Test 4

Solutions to Practice Problems for Test 4 olutions to Practice Problems for Test 4 1. Let be the line segmentfrom the point (, 1, 1) to the point (,, 3). Evaluate the line integral y ds. Answer: First, we parametrize the line segment from (, 1,

More information

The Math Circle, Spring 2004

The Math Circle, Spring 2004 The Math Circle, Spring 2004 (Talks by Gordon Ritter) What is Non-Euclidean Geometry? Most geometries on the plane R 2 are non-euclidean. Let s denote arc length. Then Euclidean geometry arises from the

More information

General Theory of Differential Equations Sections 2.8, 3.1-3.2, 4.1

General Theory of Differential Equations Sections 2.8, 3.1-3.2, 4.1 A B I L E N E C H R I S T I A N U N I V E R S I T Y Department of Mathematics General Theory of Differential Equations Sections 2.8, 3.1-3.2, 4.1 Dr. John Ehrke Department of Mathematics Fall 2012 Questions

More information

DIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents

DIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents DIFFERENTIABILITY OF COMPLEX FUNCTIONS Contents 1. Limit definition of a derivative 1 2. Holomorphic functions, the Cauchy-Riemann equations 3 3. Differentiability of real functions 5 4. A sufficient condition

More information

An explicit inversion formula for the exponetial Radon transform using data from 180

An explicit inversion formula for the exponetial Radon transform using data from 180 ISSN: 40-567 An explicit inversion formula for the exponetial Radon transform using data from 80 Hans Rullgård Research Reports in Mathematics Number 9, 00 Department of Mathematics Stockholm University

More information

I. Pointwise convergence

I. Pointwise convergence MATH 40 - NOTES Sequences of functions Pointwise and Uniform Convergence Fall 2005 Previously, we have studied sequences of real numbers. Now we discuss the topic of sequences of real valued functions.

More information

Practice Final Math 122 Spring 12 Instructor: Jeff Lang

Practice Final Math 122 Spring 12 Instructor: Jeff Lang Practice Final Math Spring Instructor: Jeff Lang. Find the limit of the sequence a n = ln (n 5) ln (3n + 8). A) ln ( ) 3 B) ln C) ln ( ) 3 D) does not exist. Find the limit of the sequence a n = (ln n)6

More information

BANACH AND HILBERT SPACE REVIEW

BANACH AND HILBERT SPACE REVIEW BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but

More information

On Chebyshev interpolation of analytic functions

On Chebyshev interpolation of analytic functions On Chebyshev interpolation of analytic functions Laurent Demanet Department of Mathematics Massachusetts Institute of Technology Lexing Ying Department of Mathematics University of Texas at Austin March

More information

ZEROS OF POLYNOMIALS WITH CYCLOTOMIC COEFFICIENTS

ZEROS OF POLYNOMIALS WITH CYCLOTOMIC COEFFICIENTS ZEROS OF POLYNOMIALS WITH CYCLOTOMIC COEFFICIENTS KEVIN G. HARE, SONNY MOHAMMADZADEH, AND JUAN CARLOS TRUJILLO Abstract. This paper examines properties of the zeros of polynomials with restricted coefficients.

More information

Homework # 3 Solutions

Homework # 3 Solutions Homework # 3 Solutions February, 200 Solution (2.3.5). Noting that and ( + 3 x) x 8 = + 3 x) by Equation (2.3.) x 8 x 8 = + 3 8 by Equations (2.3.7) and (2.3.0) =3 x 8 6x2 + x 3 ) = 2 + 6x 2 + x 3 x 8

More information

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given

More information

Zeros of Polynomial Functions

Zeros of Polynomial Functions Zeros of Polynomial Functions The Rational Zero Theorem If f (x) = a n x n + a n-1 x n-1 + + a 1 x + a 0 has integer coefficients and p/q (where p/q is reduced) is a rational zero, then p is a factor of

More information

1 Norms and Vector Spaces

1 Norms and Vector Spaces 008.10.07.01 1 Norms and Vector Spaces Suppose we have a complex vector space V. A norm is a function f : V R which satisfies (i) f(x) 0 for all x V (ii) f(x + y) f(x) + f(y) for all x,y V (iii) f(λx)

More information

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform

MATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish

More information

Section 1.3 P 1 = 1 2. = 1 4 2 8. P n = 1 P 3 = Continuing in this fashion, it should seem reasonable that, for any n = 1, 2, 3,..., = 1 2 4.

Section 1.3 P 1 = 1 2. = 1 4 2 8. P n = 1 P 3 = Continuing in this fashion, it should seem reasonable that, for any n = 1, 2, 3,..., = 1 2 4. Difference Equations to Differential Equations Section. The Sum of a Sequence This section considers the problem of adding together the terms of a sequence. Of course, this is a problem only if more than

More information

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely

More information

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions.

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions. Algebra I Overview View unit yearlong overview here Many of the concepts presented in Algebra I are progressions of concepts that were introduced in grades 6 through 8. The content presented in this course

More information

Practice with Proofs

Practice with Proofs Practice with Proofs October 6, 2014 Recall the following Definition 0.1. A function f is increasing if for every x, y in the domain of f, x < y = f(x) < f(y) 1. Prove that h(x) = x 3 is increasing, using

More information

arxiv:math/0601660v3 [math.nt] 25 Feb 2006

arxiv:math/0601660v3 [math.nt] 25 Feb 2006 NOTES Edited by William Adkins arxiv:math/666v3 [math.nt] 25 Feb 26 A Short Proof of the Simple Continued Fraction Expansion of e Henry Cohn. INTRODUCTION. In [3], Euler analyzed the Riccati equation to

More information

Critically Periodic Cubic Polynomials

Critically Periodic Cubic Polynomials Critically Periodic Cubic Polynomials John Milnor Stony Brook University (www.math.sunysb.edu) IN MEMORY OF ADRIEN DOUADY Paris, May 26 2008 Parameter Space 1. THE PROBLEM: To study cubic polynomial maps

More information

The Mean Value Theorem

The Mean Value Theorem The Mean Value Theorem THEOREM (The Extreme Value Theorem): If f is continuous on a closed interval [a, b], then f attains an absolute maximum value f(c) and an absolute minimum value f(d) at some numbers

More information

Probability Generating Functions

Probability Generating Functions page 39 Chapter 3 Probability Generating Functions 3 Preamble: Generating Functions Generating functions are widely used in mathematics, and play an important role in probability theory Consider a sequence

More information

6 EXTENDING ALGEBRA. 6.0 Introduction. 6.1 The cubic equation. Objectives

6 EXTENDING ALGEBRA. 6.0 Introduction. 6.1 The cubic equation. Objectives 6 EXTENDING ALGEBRA Chapter 6 Extending Algebra Objectives After studying this chapter you should understand techniques whereby equations of cubic degree and higher can be solved; be able to factorise

More information

The sample space for a pair of die rolls is the set. The sample space for a random number between 0 and 1 is the interval [0, 1].

The sample space for a pair of die rolls is the set. The sample space for a random number between 0 and 1 is the interval [0, 1]. Probability Theory Probability Spaces and Events Consider a random experiment with several possible outcomes. For example, we might roll a pair of dice, flip a coin three times, or choose a random real

More information

Microeconomic Theory: Basic Math Concepts

Microeconomic Theory: Basic Math Concepts Microeconomic Theory: Basic Math Concepts Matt Van Essen University of Alabama Van Essen (U of A) Basic Math Concepts 1 / 66 Basic Math Concepts In this lecture we will review some basic mathematical concepts

More information

Probability density function : An arbitrary continuous random variable X is similarly described by its probability density function f x = f X

Probability density function : An arbitrary continuous random variable X is similarly described by its probability density function f x = f X Week 6 notes : Continuous random variables and their probability densities WEEK 6 page 1 uniform, normal, gamma, exponential,chi-squared distributions, normal approx'n to the binomial Uniform [,1] random

More information

1.7 Graphs of Functions

1.7 Graphs of Functions 64 Relations and Functions 1.7 Graphs of Functions In Section 1.4 we defined a function as a special type of relation; one in which each x-coordinate was matched with only one y-coordinate. We spent most

More information

A general formula for the method of steepest descent using Perron s formula

A general formula for the method of steepest descent using Perron s formula A general formula for the method of steepest descent using Perron s formula James Mathews December 6, 3 Introduction The method of steepest descent is one of the most used techniques in applied mathematics

More information

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.

Reference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3. 5 Potential Theory Reference: Introduction to Partial Differential Equations by G. Folland, 995, Chap. 3. 5. Problems of Interest. In what follows, we consider Ω an open, bounded subset of R n with C 2

More information

Lecture 6: Discrete & Continuous Probability and Random Variables

Lecture 6: Discrete & Continuous Probability and Random Variables Lecture 6: Discrete & Continuous Probability and Random Variables D. Alex Hughes Math Camp September 17, 2015 D. Alex Hughes (Math Camp) Lecture 6: Discrete & Continuous Probability and Random September

More information

Math 55: Discrete Mathematics

Math 55: Discrete Mathematics Math 55: Discrete Mathematics UC Berkeley, Spring 2012 Homework # 9, due Wednesday, April 11 8.1.5 How many ways are there to pay a bill of 17 pesos using a currency with coins of values of 1 peso, 2 pesos,

More information

LEARNING OBJECTIVES FOR THIS CHAPTER

LEARNING OBJECTIVES FOR THIS CHAPTER CHAPTER 2 American mathematician Paul Halmos (1916 2006), who in 1942 published the first modern linear algebra book. The title of Halmos s book was the same as the title of this chapter. Finite-Dimensional

More information

March 29, 2011. 171S4.4 Theorems about Zeros of Polynomial Functions

March 29, 2011. 171S4.4 Theorems about Zeros of Polynomial Functions MAT 171 Precalculus Algebra Dr. Claude Moore Cape Fear Community College CHAPTER 4: Polynomial and Rational Functions 4.1 Polynomial Functions and Models 4.2 Graphing Polynomial Functions 4.3 Polynomial

More information

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year.

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year. This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Algebra

More information

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a

88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a 88 CHAPTER. VECTOR FUNCTIONS.4 Curvature.4.1 Definitions and Examples The notion of curvature measures how sharply a curve bends. We would expect the curvature to be 0 for a straight line, to be very small

More information

Representation of functions as power series

Representation of functions as power series Representation of functions as power series Dr. Philippe B. Laval Kennesaw State University November 9, 008 Abstract This document is a summary of the theory and techniques used to represent functions

More information

Math 120 Final Exam Practice Problems, Form: A

Math 120 Final Exam Practice Problems, Form: A Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,

More information

Math 319 Problem Set #3 Solution 21 February 2002

Math 319 Problem Set #3 Solution 21 February 2002 Math 319 Problem Set #3 Solution 21 February 2002 1. ( 2.1, problem 15) Find integers a 1, a 2, a 3, a 4, a 5 such that every integer x satisfies at least one of the congruences x a 1 (mod 2), x a 2 (mod

More information

INTERPOLATION. Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y).

INTERPOLATION. Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y). INTERPOLATION Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y). As an example, consider defining and x 0 =0, x 1 = π 4, x

More information

Limits and Continuity

Limits and Continuity Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function

More information

MATH 132: CALCULUS II SYLLABUS

MATH 132: CALCULUS II SYLLABUS MATH 32: CALCULUS II SYLLABUS Prerequisites: Successful completion of Math 3 (or its equivalent elsewhere). Math 27 is normally not a sufficient prerequisite for Math 32. Required Text: Calculus: Early

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Tomoo Matsumura November 30, 2010 Contents 1 Topological spaces 3 1.1 Basis of a Topology......................................... 3 1.2 Comparing Topologies.......................................

More information

Rolle s Theorem. q( x) = 1

Rolle s Theorem. q( x) = 1 Lecture 1 :The Mean Value Theorem We know that constant functions have derivative zero. Is it possible for a more complicated function to have derivative zero? In this section we will answer this question

More information

Complex Analysis and Conformal Mapping

Complex Analysis and Conformal Mapping omplex Analysis and onformal Mapping 1. Introduction. by Peter J. Olver University of Minnesota The term complex analysis refers to the calculus of complex-valued functions f(z) depending on a single complex

More information

Solutions for Review Problems

Solutions for Review Problems olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector

More information

Zero: If P is a polynomial and if c is a number such that P (c) = 0 then c is a zero of P.

Zero: If P is a polynomial and if c is a number such that P (c) = 0 then c is a zero of P. MATH 11011 FINDING REAL ZEROS KSU OF A POLYNOMIAL Definitions: Polynomial: is a function of the form P (x) = a n x n + a n 1 x n 1 + + a x + a 1 x + a 0. The numbers a n, a n 1,..., a 1, a 0 are called

More information

Math 345-60 Abstract Algebra I Questions for Section 23: Factoring Polynomials over a Field

Math 345-60 Abstract Algebra I Questions for Section 23: Factoring Polynomials over a Field Math 345-60 Abstract Algebra I Questions for Section 23: Factoring Polynomials over a Field 1. Throughout this section, F is a field and F [x] is the ring of polynomials with coefficients in F. We will

More information

Solutions to Math 51 First Exam January 29, 2015

Solutions to Math 51 First Exam January 29, 2015 Solutions to Math 5 First Exam January 29, 25. ( points) (a) Complete the following sentence: A set of vectors {v,..., v k } is defined to be linearly dependent if (2 points) there exist c,... c k R, not

More information

Winter Camp 2011 Polynomials Alexander Remorov. Polynomials. Alexander Remorov alexanderrem@gmail.com

Winter Camp 2011 Polynomials Alexander Remorov. Polynomials. Alexander Remorov alexanderrem@gmail.com Polynomials Alexander Remorov alexanderrem@gmail.com Warm-up Problem 1: Let f(x) be a quadratic polynomial. Prove that there exist quadratic polynomials g(x) and h(x) such that f(x)f(x + 1) = g(h(x)).

More information

Notes on Continuous Random Variables

Notes on Continuous Random Variables Notes on Continuous Random Variables Continuous random variables are random quantities that are measured on a continuous scale. They can usually take on any value over some interval, which distinguishes

More information

Mathematical Methods of Engineering Analysis

Mathematical Methods of Engineering Analysis Mathematical Methods of Engineering Analysis Erhan Çinlar Robert J. Vanderbei February 2, 2000 Contents Sets and Functions 1 1 Sets................................... 1 Subsets.............................

More information

3. Mathematical Induction

3. Mathematical Induction 3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)

More information

2. Length and distance in hyperbolic geometry

2. Length and distance in hyperbolic geometry 2. Length and distance in hyperbolic geometry 2.1 The upper half-plane There are several different ways of constructing hyperbolic geometry. These different constructions are called models. In this lecture

More information

Walrasian Demand. u(x) where B(p, w) = {x R n + : p x w}.

Walrasian Demand. u(x) where B(p, w) = {x R n + : p x w}. Walrasian Demand Econ 2100 Fall 2015 Lecture 5, September 16 Outline 1 Walrasian Demand 2 Properties of Walrasian Demand 3 An Optimization Recipe 4 First and Second Order Conditions Definition Walrasian

More information

Examples of Functions

Examples of Functions Chapter 3 Examples of Functions Obvious is the most dangerous word in mathematics. E. T. Bell 3.1 Möbius Transformations The first class of functions that we will discuss in some detail are built from

More information

Real Roots of Univariate Polynomials with Real Coefficients

Real Roots of Univariate Polynomials with Real Coefficients Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials

More information

Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013

Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013 Module MA3411: Abstract Algebra Galois Theory Appendix Michaelmas Term 2013 D. R. Wilkins Copyright c David R. Wilkins 1997 2013 Contents A Cyclotomic Polynomials 79 A.1 Minimum Polynomials of Roots of

More information

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.

CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,

More information

Metric Spaces. Chapter 1

Metric Spaces. Chapter 1 Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence

More information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics Course 111: Algebra I Part IV: Vector Spaces Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are

More information

Answer Key for California State Standards: Algebra I

Answer Key for California State Standards: Algebra I Algebra I: Symbolic reasoning and calculations with symbols are central in algebra. Through the study of algebra, a student develops an understanding of the symbolic language of mathematics and the sciences.

More information