Riemann Mapping Theorem (4/10 - 4/15)
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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. -
Introduction to Complex Analysis Michael Taylor
Introduction to Complex Analysis Michael Taylor 1 2 Contents Chapter 1. Basic calculus in the complex domain 0. Complex numbers, power series, and exponentials 1. Holomorphic functions, derivatives, and path integrals 2. Holomorphic functions defined by power series 3. Exponential and trigonometric functions: Euler's formula 4. Square roots, logs, and other inverse functions I. π2 is irrational Chapter 2. Going deeper { the Cauchy integral theorem and consequences 5. The Cauchy integral theorem and the Cauchy integral formula 6. The maximum principle, Liouville's theorem, and the fundamental theorem of al- gebra 7. Harmonic functions on planar regions 8. Morera's theorem, the Schwarz reflection principle, and Goursat's theorem 9. Infinite products 10. Uniqueness and analytic continuation 11. Singularities 12. Laurent series C. Green's theorem F. The fundamental theorem of algebra (elementary proof) L. Absolutely convergent series Chapter 3. Fourier analysis and complex function theory 13. Fourier series and the Poisson integral 14. Fourier transforms 15. Laplace transforms and Mellin transforms H. Inner product spaces N. The matrix exponential G. The Weierstrass and Runge approximation theorems Chapter 4. Residue calculus, the argument principle, and two very special functions 16. Residue calculus 17. The argument principle 18. The Gamma function 19. The Riemann zeta function and the prime number theorem J. Euler's constant S. Hadamard's factorization theorem 3 Chapter 5. Conformal maps and geometrical aspects of complex function the- ory 20. Conformal maps 21. Normal families 22. The Riemann sphere (and other Riemann surfaces) 23. The Riemann mapping theorem 24. Boundary behavior of conformal maps 25. Covering maps 26. -
Mathematical Analysis, Second Edition
PREFACE A glance at the table of contents will reveal that this textbooktreats topics in analysis at the "Advanced Calculus" level. The aim has beento provide a develop- ment of the subject which is honest, rigorous, up to date, and, at thesame time, not too pedantic.The book provides a transition from elementary calculusto advanced courses in real and complex function theory, and it introducesthe reader to some of the abstract thinking that pervades modern analysis. The second edition differs from the first inmany respects. Point set topology is developed in the setting of general metricspaces as well as in Euclidean n-space, and two new chapters have been addedon Lebesgue integration. The material on line integrals, vector analysis, and surface integrals has beendeleted. The order of some chapters has been rearranged, many sections have been completely rewritten, and several new exercises have been added. The development of Lebesgue integration follows the Riesz-Nagyapproach which focuses directly on functions and their integrals and doesnot depend on measure theory.The treatment here is simplified, spread out, and somewhat rearranged for presentation at the undergraduate level. The first edition has been used in mathematicscourses at a variety of levels, from first-year undergraduate to first-year graduate, bothas a text and as supple- mentary reference.The second edition preserves this flexibility.For example, Chapters 1 through 5, 12, and 13 providea course in differential calculus of func- tions of one or more variables. Chapters 6 through 11, 14, and15 provide a course in integration theory. Many other combinationsare possible; individual instructors can choose topics to suit their needs by consulting the diagram on the nextpage, which displays the logical interdependence of the chapters. -
Riemann's Mapping Theorem
4. Del Riemann’s mapping theorem version 0:21 | Tuesday, October 25, 2016 6:47:46 PM very preliminary version| more under way. One dares say that the Riemann mapping theorem is one of more famous theorem in the whole science of mathematics. Together with its generalization to Riemann surfaces, the so called Uniformisation Theorem, it is with out doubt the corner-stone of function theory. The theorem classifies all simply connected Riemann-surfaces uo to biholomopisms; and list is astonishingly short. There are just three: The unit disk D, the complex plane C and the Riemann sphere C^! Riemann announced the mapping theorem in his inaugural dissertation1 which he defended in G¨ottingenin . His version a was weaker than full version of today, in that he seems only to treat domains bounded by piecewise differentiable Jordan curves. His proof was not waterproof either, lacking arguments for why the Dirichlet problem has solutions. The fault was later repaired by several people, so his method is sound (of course!). In the modern version there is no further restrictions on the domain than being simply connected. William Fogg Osgood was the first to give a complete proof of the theorem in that form (in ), but improvements of the proof continued to come during the first quarter of the th century. We present Carath´eodory's version of the proof by Lip´otFej´erand Frigyes Riesz, like Reinholdt Remmert does in his book [?], and we shall closely follow the presentation there. This chapter starts with the legendary lemma of Schwarz' and a study of the biho- lomorphic automorphisms of the unit disk. -
Introduction to Holomorphic Dynamics: Very Brief Notes
Introduction to Holomorphic Dynamics: Very Brief Notes Saeed Zakeri Last modified: 5-8-2003 Lecture 1. (1) A Riemann surface X is a connected complex manifold of dimension 1. This means that X is a connected Hausdorff space, locally homeomorphic to R2, which is equipped with a complex structure f(Ui; zi)g. Here each Ui is an open subset of X, S =» the union Ui is X, each local coordinate zi : Ui ¡! D is a homeomorphism, and ¡1 whenever Ui \ Uj 6= ; the change of coordinate zjzi : zi(Ui \ Uj) ! zj(Ui \ Uj) is holomorphic. In the above definition we have not assumed that X has a countable basis for its topology. But this is in fact true and follows from the existence of a complex structure (Rado’s Theorem). (2) A map f : X ! Y between Riemann surfaces is holomorphic if w ± f ± z¡1 is a holomorphic map for each pair of local coordinates z on X and w on Y for which this composition makes sense. We often denote this composition by w = f(z).A holomorphic map f is called a biholomorphism or conformal isomorphism if it is a homeomorphism, in which case f ¡1 is automatically holomorphic. (3) Examples of Riemann surfaces: The complex plane C, the unit disk D, the Riemann b sphere C, complex tori T¿ = C=(Z © ¿Z) with Im(¿) > 0, open connected subsets of Riemann surfaces such as the complement of a Cantor set in C. (4) The Uniformization Theorem: Every simply connected Riemann surface is confor- mally isomorphic to Cb, C, or D. -
30 POLYGONS Joseph O’Rourke, Subhash Suri, and Csaba D
30 POLYGONS Joseph O'Rourke, Subhash Suri, and Csaba D. T´oth INTRODUCTION Polygons are one of the fundamental building blocks in geometric modeling, and they are used to represent a wide variety of shapes and figures in computer graph- ics, vision, pattern recognition, robotics, and other computational fields. By a polygon we mean a region of the plane enclosed by a simple cycle of straight line segments; a simple cycle means that nonadjacent segments do not intersect and two adjacent segments intersect only at their common endpoint. This chapter de- scribes a collection of results on polygons with both combinatorial and algorithmic flavors. After classifying polygons in the opening section, Section 30.2 looks at sim- ple polygonizations, Section 30.3 covers polygon decomposition, and Section 30.4 polygon intersection. Sections 30.5 addresses polygon containment problems and Section 30.6 touches upon a few miscellaneous problems and results. 30.1 POLYGON CLASSIFICATION Polygons can be classified in several different ways depending on their domain of application. In chip-masking applications, for instance, the most commonly used polygons have their sides parallel to the coordinate axes. GLOSSARY Simple polygon: A closed region of the plane enclosed by a simple cycle of straight line segments. Convex polygon: The line segment joining any two points of the polygon lies within the polygon. Monotone polygon: Any line orthogonal to the direction of monotonicity inter- sects the polygon in a single connected piece. Star-shaped polygon: The entire polygon is visible from some point inside the polygon. Orthogonal polygon: A polygon with sides parallel to the (orthogonal) coordi- nate axes. -
Quasi-Normality and Shared Functions
Quasi-normality and Shared Functions Gopal DATT Department of Mathematics, University of Delhi, Delhi 110007, India e-mail: [email protected] Abstract: We prove two sufficient conditions of quasi-normality in which each pair f and g of F shares some holomorphic functions. Key Words: Meromorphic functions, shared values, normal families. 2010 Mathematics Subject Classification: 30D45. 1. Introduction Inspired by the heuristic principle, attributed to Bloch, Schwick [9] discovered a connection between normality and shared values. Since then many researchers have given various sufficient conditions of normality using shared values. But a less number of articles are there in support of quasi-normal family. In our best knowledge there are a few results connecting quasi-normality and shared values. In this article we prove a quasi-normality criterion concerning shared functions. In 1975, Zalcman [10] proved a remarkable result, now known as Zalcman’s Lemma, for families of meromorphic functions which are not normal in a domain. Roughly speaking, it says that a non-normal family can be rescaled at small scale to obtain a non-constant meromorphic function in the limit. This result of Zalcman gave birth to many new normality criteria. Zalcman’s Lemma. A family F of functions meromorphic (analytic) on the unit disc ∆ is not normal if and only if there exist arXiv:1509.06694v3 [math.CV] 11 Aug 2016 (a) a number 0 <r< 1 (b) points zj, |zj| < r (c) functions {fj} ⊆ F + (d) numbers ρj → 0 such that fj(zj + ρjζ) → g(ζ) (1.1) spherically uniformly (uniformly) on compact subsets of C, where g is a non-constant meromorphic (entire) function on C. -
Normality Criteria for Families of Meromorphic Functions 3
NORMALITY CRITERIA FOR FAMILIES OF MEROMORPHIC FUNCTIONS SANJAY KUMAR AND POONAM RANI Abstract. In this paper we prove some normality criteria for a family of meromorphic functions, which involves the zeros of certain differential polynomials generated by the members of the family. 1. Introduction and main results An important aspect of the theory of complex analytic functions is to find normality criteria for families of meromorphic functions. The notion of normal families was intro- duced by Paul Montel in 1907. Let us begin by recalling the definition. A family of meromorphic (holomorphic) functions defined on a domain D ⊂ C is said to be normal in the domain, if every sequence in the family has a subsequence which converges spherically uniformly on compact subsets of D to a meromorphic (holomorphic) function or to ∞. According to Bloch’s principle, a family of meromorphic functions in a domain D pos- sessing a property which reduces a meromorphic function in the plane to a constant, makes the family normal in the domain D. Although Bloch’s principle is not true in general, many authors established normality criteria for families of meromorphic functions having such properties. Hayman [8] proved a result which states that: Let n ≥ 5 be a positive integer and a(=6 0), b be two finite complex numbers. If a meromorphic function f in C satisfies, f ′ + af n =6 b, then f is a constant. The normality related to this result was conjectured by Hayman. Confirming this conjecture of Hayman, Drasin [5] proved a normality crite- rion for holomorphic function which says: Let F be a family of holomorphic functions in the unit disc ∆, and for a fixed n ≥ 3 and a(=6 0), b are finite complex numbers suppose arXiv:1704.02611v3 [math.CV] 14 Apr 2017 that for each f ∈F, f ′ + af n =6 b in ∆. -
Convergent Interpolation to Cauchy Integrals Over Analytic Arcs
CONVERGENT INTERPOLATION TO CAUCHY INTEGRALS OVER ANALYTIC ARCS LAURENT BARATCHART AND MAXIM L. YATTSELEV ABSTRACT. We consider multipoint Padé approximation to Cauchy transforms of complex mea- sures. We show that if the support of a measure is an analytic Jordan arc and if the measure itself is absolutely continuous with respect to the equilibrium distribution of that arc with Dini-smooth non-vanishing density, then the diagonal multipoint Padé approximants associated with appropri- ate interpolation schemes converge locally uniformly to the approximated Cauchy transform in the complement of the arc. This asymptotic behavior of Padé approximants is deduced from the anal- ysis of underlying non-Hermitian orthogonal polynomials, for which we use classical properties of Hankel and Toeplitz operators on smooth curves. A construction of the appropriate interpolation schemes is explicit granted the parametrization of the arc. 1. INTRODUCTION Rational approximation to analytic functions of one complex variable is a most classical subject which has undergone many developments since C. Runge’s proof that such an approximation is indeed possible, locally uniformly on the domain of holomorphy [47]. Let us quote for example the deep study of those open sets for which holomorphic functions that extend continuously up to the boundary can be approximated by rational functions on the closure [36, 60], see compre- hensive expositions and further references in the monograph [18]. In another connection, the achievable rate of convergence of rational approximants at regular points, when the degree goes large, also received considerable attention [61, 21, 29, 42, 46]. Meantime, rational approximation has become a tool in numerical analysis [30, 62, 59], as well as in the modeling and control of signals and systems, see for instance [2, 14,8, 20, 43 ]. -
THE RIEMANN MAPPING THEOREM Contents 1. Introduction 1 2
THE RIEMANN MAPPING THEOREM ALEXANDER WAUGH Abstract. This paper aims to provide all necessary details to give the standard mod- ern proof of the Riemann Mapping Theorem utilizing normal families of functions. From this point the paper will provide a brief introduction to Riemann Surfaces and conclude with stating the generalization of Riemann Mapping Theorem to Riemann Surfaces: The Uniformization Theorem. Contents 1. Introduction 1 2. Preliminaries 2 3. Outline of Riemann Mapping Theorem 4 4. Hurwitz's Theorem 5 5. Montel's Theorem 6 6. The Riemann Mapping Theorem 7 7. Riemann Surfaces and The Uniformization Theorem 8 References 11 1. Introduction The Riemann Mapping theorem is one of the most useful theorems in elementary complex analysis. From a planar topology viewpoint we know that there exists simply connected domains with complicated boundaries. For such domains there are no obvious homeomor- phisms between them. However the Riemann mapping theorem states that such simply connected domains are not only homeomorphic but also biholomorphic. The paper by J.L. Walsh \History of the Riemann Mapping Theorem"[6] presents an outline of how proofs of the Riemann Mapping theorem have evolved over time. A very important theorem in Complex Analysis, Riemann's mapping theorem was first stated, with an incor- rect proof, by Bernhard Riemann in his inaugural dissertation in 1851. Since the publication of this \proof" various objections have been made which all in all lead to this proof being labeled as incorrect. While Riemann's proof is incorrect it did provide the general guidelines, via the Dirichlet Principle and Green's function, which would prove vital in future proofs. -
A Concise Course in Complex Analysis and Riemann Surfaces Wilhelm Schlag
A concise course in complex analysis and Riemann surfaces Wilhelm Schlag Contents Preface v Chapter 1. From i to z: the basics of complex analysis 1 1. The field of complex numbers 1 2. Differentiability and conformality 3 3. M¨obius transforms 7 4. Integration 12 5. Harmonic functions 19 6. The winding number 21 7. Problems 24 Chapter 2. From z to the Riemann mapping theorem: some finer points of basic complex analysis 27 1. The winding number version of Cauchy’s theorem 27 2. Isolated singularities and residues 29 3. Analytic continuation 33 4. Convergence and normal families 36 5. The Mittag-Leffler and Weierstrass theorems 37 6. The Riemann mapping theorem 41 7. Runge’s theorem 44 8. Problems 46 Chapter 3. Harmonic functions on D 51 1. The Poisson kernel 51 2. Hardy classes of harmonic functions 53 3. Almost everywhere convergence to the boundary data 55 4. Problems 58 Chapter 4. Riemann surfaces: definitions, examples, basic properties 63 1. The basic definitions 63 2. Examples 64 3. Functions on Riemann surfaces 67 4. Degree and genus 69 5. Riemann surfaces as quotients 70 6. Elliptic functions 73 7. Problems 77 Chapter 5. Analytic continuation, covering surfaces, and algebraic functions 79 1. Analytic continuation 79 2. The unramified Riemann surface of an analytic germ 83 iii iv CONTENTS 3. The ramified Riemann surface of an analytic germ 85 4. Algebraic germs and functions 88 5. Problems 100 Chapter 6. Differential forms on Riemann surfaces 103 1. Holomorphic and meromorphic differentials 103 2. Integrating differentials and residues 105 3. -
An Introduction to the Bergman Projection and Kernel
An Introduction to the Bergman Projection and Kernel A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Mathematical Sciences in the Graduate School of The Ohio State University By Philip Koch, B.S. Graduate Program in the Department of Mathematics The Ohio State University 2016 Master's Examination Committee: Dr. Kenneth Koenig, Advisor Dr. Rodica Costin Dr. Jeffery McNeal c Copyright by Philip Koch 2016 Abstract In this thesis, we discuss the fundamental concepts of the Bergman projection and kernel. In particular, we prove that the Bergman kernel on a given domain Ω can be characterized in terms of an orthonormal basis of A2(Ω). This result is central to the theory of the Bergman kernel and will therefore be shown in full detail. We calculate the Bergman kernel on several domains such as the unit disk, the unit ball in C2 and Cn, and the annulus. In addition, we show that given two conformally equivalent domains Ω1; Ω2 ⊆ C, one can represent the Bergman kernel of Ω1 in terms of the Bergman kernel of Ω2. ii I dedicate this thesis to my wife, my parents, and my brothers. iii Acknowledgments I would like to thank several people who helped make this possible. First, I thank my advisor, Dr. Kenneth Koenig, for his support and guidance. His knowledge and wisdom were invaluable to my progress and growth as a mathematician and I feel extremely lucky to have worked with him. Second, I would like to thank my committee members, Dr. Jeffery McNeal and Dr. Rodica Costin.