Chapter 6 Green's Theorem in the Plane
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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. -
Riemann Mapping Theorem (4/10 - 4/15)
Math 752 Spring 2015 Riemann Mapping Theorem (4/10 - 4/15) Definition 1. A class F of continuous functions defined on an open set G is called a normal family if every sequence of elements in F contains a subsequence that converges uniformly on compact subsets of G. The limit function is not required to be in F. By the above theorems we know that if F ⊆ H(G), then the limit function is in H(G). We require one direction of Montel's theorem, which relates normal families to families that are uniformly bounded on compact sets. Theorem 1. Let G be an open, connected set. Suppose F ⊂ H(G) and F is uniformly bounded on each compact subset of G. Then F is a normal family. ◦ Proof. Let Kn ⊆ Kn+1 be a sequence of compact sets whose union is G. Construction for these: Kn is the intersection of B(0; n) with the comple- ment of the (open) set [a=2GB(a; 1=n). We want to apply the Arzela-Ascoli theorem, hence we need to prove that F is equicontinuous. I.e., for " > 0 and z 2 G we need to show that there is δ > 0 so that if jz − wj < δ, then jf(z) − f(w)j < " for all f 2 F. (We emphasize that δ is allowed to depend on z.) Since every z 2 G is an element of one of the Kn, it suffices to prove this statement for fixed n and z 2 Kn. By assumption F is uniformly bounded on each Kn. -
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. -
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. -
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. -
Complex Analysis (620-413): Riemann Mapping Theorem and Riemann Surfaces 1 the Riemann Mapping Theorem
Complex Analysis (620-413): Riemann mapping theorem and Riemann surfaces Stephan Tillmann These notes are compiled for an Honours course in complex analysis given by the author at the University of Melbourne in Semester 2, 2007. Covered are the Riemann mapping theorem as well as some basic facts about Riemann surfaces. The text is based on the books titled “Complex Analysis” by Ahlfors [1] and Gamelin [2]. 1 The Riemann mapping theorem 1.1 Biholomorphic maps A domain is an open, path connected subset of the complex plane. Definition 1.1 (Biholomorphic) Domains U and V are said to be biholomorphic if there is a holomorphic, bijective function f : U → V whose inverse is also holomor- phic. Such a function f is also said to be biholomorphic (onto its image). Recall that a map f : U → C is conformal (or angle-preserving) at z0, if it preserves oriented angles between curves through z0; oriented meaning that not only the size but also the sense of any angle is preserved. Roughly speaking, infinitesimally small figures are rotated or stretched but not reflected by a conformal mapping. If U is an open subset of the complex plane, then a function f : U → C is conformal if and only if it is holomorphic and its derivative is everywhere non-zero on U. If f is antiholomorphic (that is, the conjugate of a holomorphic function), it still preserves the size of angles, but it reverses their orientation. Lemma 1.2 If f : U → V is a biholomorphic map, then f is conformal. The domains U and V are accordingly also termed conformally equivalent. -
Introduction to Mathematical Analysis
Introduction To Mathematical Analysis John E. Hutchinson 1994 Revised by Richard J. Loy 1995/6/7 Department of Mathematics School of Mathematical Sciences ANU Pure mathematics have one peculiar advantage, that they occa- sion no disputes among wrangling disputants, as in other branches of knowledge; and the reason is, because the denitions of the terms are premised, and everybody that reads a proposition has the same idea of every part of it. Hence it is easy to put an end to all mathematical controversies by shewing, either that our ad- versary has not stuck to his denitions, or has not laid down true premises, or else that he has drawn false conclusions from true principles; and in case we are able to do neither of these, we must acknowledge the truth of what he has proved ... The mathematics, he [Isaac Barrow] observes, eectually exercise, not vainly delude, nor vexatiously torment, studious minds with obscure subtilties; but plainly demonstrate everything within their reach, draw certain conclusions, instruct by protable rules, and unfold pleasant questions. These disciplines likewise enure and corroborate the mind to a constant diligence in study; they wholly deliver us from credulous simplicity; most strongly fortify us against the vanity of scepticism, eectually refrain us from a rash presumption, most easily incline us to a due assent, per- fectly subject us to the government of right reason. While the mind is abstracted and elevated from sensible matter, distinctly views pure forms, conceives the beauty of ideas and investigates the harmony of proportion; the manners themselves are sensibly corrected and improved, the aections composed and rectied, the fancy calmed and settled, and the understanding raised and exited to more divine contemplations. -
9. the Jordan Curve Theorem It Is Established Then That Every Continuous (Closed) Curve Divides the Plane Into Two Regions, One Exterior, One Interior,
9. The Jordan Curve Theorem It is established then that every continuous (closed) curve divides the plane into two regions, one exterior, one interior, ... Camille Jordan, 1882 In his 1882 Cours d’analyse [Jordan], Camille Jordan (1838–1922) stated a classical theorem, topological in nature and inadequately proved by Jordan. The theorem concerns separation and connectedness in the plane on one hand, and the topological properties of simple, closed curves on the other. 2 The Jordan Curve Theorem. If is a simple, closed curve in the plane R , that 2 C 2 is, R and is homeomorphic to S1, then R , the complement of , has two components,C⊂ eachC sharing as boundary. −C C C The statement of the theorem borders on the obvious—few would doubt it to be true. However, mathematicians of the nineteenth century had developed a healthy respect for the monstrous possibilities that their new researches into analysis revealed. Furthermore, a proof using rigorous and appropriate tools of a fact that seemed obvious meant that the obvious was a solid point of departure for generalization. The proof that follows is an amalgam of two celebrated proofs—the principal part is based on work of Brouwer in which the notion of the index of a point relative to a curve plays a key role. Brouwer’s proof was simplified by Erhard Schmidt (1876–1959) (see [Schmidt] and [Alexandroff]). The second proof, due to J. W. Alexander (1888–1971) is based on the combinatorial and algebraic notion of a grating (see [Newman]). Although each proof can be developed independently, the main ideas of combinatorial approximation and an index provide a point of departure for generalizations that will be the focus of the final chapters. -
The Riemann Mapping Theorem
Chapter 14 The Riemann Mapping Theorem 14.1 Conformal Mapping and Hydrodynamics Before proving the Riemann Mapping Theorem, we examine the relation between conformal mapping and the theory of fluid flow. Our main goal is to motivate some of the results of the next section and the treatment here will be less formal than that of the remainder of the book. Consider a fluid flow which is independent of time and parallel to a given plane, which we take to be the complex plane. The flow (or velocity) function g is then a two-dimensional or complex variable of two variables and we can write it in the form g(z) = u(z) + iv(z) where u and v are real-valued. If we let σ and τ denote, respectively, the circulation around and the flux across a closed curve C, it can be shown that g(z)dz = σ + iτ (see Appendix II) . (1) C We will confine our attention to incompressible fluids and flows which are locally irrotational and source-free. That is, for any point z in our domain D, we assume there exists a δ>0 such that the circulation around and flux across any closed curve C in D(z; δ)is zero. Thus, for all such curves, if we define f (z) = g(z) it ( ) = follows by (1) that C f z dz 0. We will assume moreover that g (and hence f ) is continuous so that, by Morera’s Theorem (7.4), f is analytic. Conversely, given an analytic f = u − iv in a domain D, its conjugate g = u + iv can be viewed as a locally irrotational and source-free flow in D. -
Real Analysis Course Notes C
Real Analysis Course Notes C. McMullen Contents 1 Introduction . 1 2 Set Theory and the Real Numbers . 4 3 Lebesgue Measurable Sets . 13 4 Measurable Functions . 26 5 Integration . 35 6 Differentiation and Integration . 44 7 The Classical Banach Spaces . 60 8 Baire Category . 72 9 General Topology . 81 10 Banach Spaces . 97 11 Fourier Series . 112 2 12 Harmonic Analysis on R and S . 126 13 General Measure Theory . 131 A Measurable A with A − A nonmeasurable . 136 1 Introduction We begin by discussing the motivation for real analysis, and especially for the reconsideration of the notion of integral and the invention of Lebesgue integration, which goes beyond the Riemannian integral familiar from clas- sical calculus. 1. Usefulness of analysis. As one of the oldest branches of mathematics, and one that includes calculus, analysis is hardly in need of justification. But just in case, we remark that its uses include: 1. The description of physical systems, such as planetary motion, by dynamical systems (ordinary differential equations); 2. The theory of partial differential equations, such as those describing heat flow or quantum particles; 3. Harmonic analysis on Lie groups, of which R is a simple example; 4. Representation theory; 1 5. The description of optimal structures, from minimal surfaces to eco- nomic equilibria; 6. The foundations of probability theory; 7. Automorphic forms and analytic number theory; and 8. Dynamics and ergodic theory. 2. Completeness. We now motivate the need for a sophisticated theory of measure and integration, called the Lebesgue theory, which will form the first topic in this course. -
Jordan's Proof of the Jordan Curve Theorem
STUDIES IN LOGIC, GRAMMAR AND RHETORIC 10 (23) 2007 Jordan’s Proof of the Jordan Curve Theorem Thomas C. Hales⋆ University of Pittsburgh Abstract. This article defends Jordan’s original proof of the Jordan curve theorem. The celebrated theorem of Jordan states that every simple closed curve in the plane separates the complement into two connected nonempty sets: an interior region and an exterior. In 1905, O. Veblen declared that this theorem is “justly regarded as a most important step in the direction of a perfectly rigorous mathe- matics” [13]. I dedicate this article to A. Trybulec, for moving us much further “in the direction of a perfectly rigorous mathematics.” 1 Introduction Critics have been unsparing in their condemnation of Jordan’s original proof. Ac- cording to Courant and Robbins, “The proof given by Jordan was neither short nor simple, and the surprise was even greater when it turned out that Jordan’s proof was invalid and that considerable effort was necessary to fill the gaps in his reasoning” [2]. A web page maintained by a topologist calls Jordan’s proof “com- pletely wrong.” Morris Kline writes that “Jordan himself and many distinguished mathematicians gave incorrect proofs of the theorem. The first rigorous proof is due to Veblen” [8]. A different Kline remarks that “Jordan’s argument did not suffice even for the case of a polygon” [7]. Dissatisfaction with Jordan’s proof originated early. In 1905, Veblen complained that Jordan’s proof “is unsatisfactory to many mathematicians. It assumes the theorem without proof in the important special case of a simple polygon and of the argument from that point on, one must admit at least that all details are not given” [13]. -
The Topology of Subsets of Rn
APPENDIXA The Topology of Subsets of Rn In this appendix, we briefly review some notions from topology that are used throughout the book. The exposition is intended as a quick review for readers with some previous exposure to these topics. 1. Open and Closed Sets and Limit Points The natural distance function on Rn is defined such that for all a, b ∈ Rn, dist(a, b)=|a − b| = a − b, a − b. Its most important property is the triangle inequality: Proposition A.1 (TheTriangleInequality). For all a, b, c ∈ Rn, dist(a, c) ≤ dist(a, b)+dist(b, c). Proof. The Schwarz inequality (Lemma 1.12) says that |v, w| ≤ |v||w| for all v, w ∈ Rn.Thus, |v + w|2 = |v|2 +2v, w + |w|2 ≤|v|2 +2|v|·|w| + |w|2 =(|v| + |w|)2. © Springer International Publishing Switzerland 2016 345 K. Tapp, Differential Geometry of Curves and Surfaces, Undergraduate Texts in Mathematics, DOI 10.1007/978-3-319-39799-3 346 A. THE TOPOLOGY OF SUBSETS OF Rn So |v + w|≤|v| + |w|. Applying this inequality to the vectors pictured in Fig. A.1 proves the triangle inequality. Figure A.1. Proof of the triangle inequality Topology begins with precise language for discussing whether a subset of Euclidean space contains its boundary points. First, for p ∈ Rn and r>0, we denote the ball about p of radius r by B(p,r)={q ∈ Rn | dist(p, q) <r}. In other words, B(p,r) contains all points closer than a distance r from p. Definition A.2.