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E-grāmata: Complex Analysis

(University of Washington)
  • Formāts: PDF+DRM
  • Sērija : Cambridge Mathematical Textbooks
  • Izdošanas datums: 07-Mar-2019
  • Izdevniecība: Cambridge University Press
  • Valoda: eng
  • ISBN-13: 9781108651851
  • Formāts - PDF+DRM
  • Cena: 52,34 €*
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  • Formāts: PDF+DRM
  • Sērija : Cambridge Mathematical Textbooks
  • Izdošanas datums: 07-Mar-2019
  • Izdevniecība: Cambridge University Press
  • Valoda: eng
  • ISBN-13: 9781108651851

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This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that illuminates many important concepts. This view allows readers to quickly obtain and understand many fundamental results of complex analysis, such as the maximum principle, Liouville's theorem, and Schwarz's lemma. The book covers all the essential material on complex analysis, and includes several elegant proofs that were recently discovered. It includes the zipper algorithm for computing conformal maps, as well as a constructive proof of the Riemann mapping theorem, and culminates in a complete proof of the uniformization theorem. Aimed at students with some undergraduate background in real analysis, though not Lebesgue integration, this classroom-tested textbook will teach the skills and intuition necessary to understand this important area of mathematics.

Recenzijas

'Marshall's book covers the basic topics with crystal clarity in a style that is conversational and concrete, and that guides the student into thinking about these topics the way a working mathematician does, especially one with a geometric or computational bent. Moreover, the book includes many results that are vital to modern function theory and its applications to geometry, dynamics and probability, but that are often omitted from introductory texts. I wish I had first learned the subject from this book, and I am delighted that my students can do so.' Christopher Bishop, State University of New York at Stony Brook 'This is an original and most welcomed new graduate text in complex analysis. Assuming only undergraduate real analysis and following the power series approach, it quickly and elegantly develops the basic theory through Cauchy's theorem for cycles, normal families, the Riemann mapping theorem, and the Weierstrass and Mittag-Leffler theorems. Unique aspects of the book include its many short, clever, and clear proofs of familiar results, the author's computational point of view about conformal mappings, a concise proof of the uniformization theorem from first principles (using the dipole Green's function for the parabolic case), and an excellent selection of exercises, some very thought provoking but having easy proofs.' John Garnett, University of California, Los Angeles 'There are essentially three points of view from which to begin the study of complex analysis, due principally to Cauchy, Weierstrass, and Riemann. These approaches emphasize integral formulas, power series and conformal mapping, respectively. Marshall has chosen to initially adopt the approach of Weierstrass and to emphasize at the outset the notion of a power series. From that point of view, many of the central ideas and theorems of complex analysis arise early in a rather natural way and are quite suggestive of what is true in a much wider context. One of the features of this book that distinguishes it from other texts is its emphasis on conformal mapping, culminating in a beautiful exposition of the Uniformization theorem for simply connected Riemann surfaces. From the outset, the exposition is placed in an historical context, is clear and concise throughout, and includes many new and interesting exercises.' James Brennan, University of Kentucky 'Written by a skillful teacher and grand master of complex analysis, this complex analysis graduate level textbook stands out from other texts through the clarity and elegance of the arguments, the efficiency of the presentation, and the selection of advanced topics. Each of the 16 chapters ends with a carefully selected set of exercises ranging from routine to challenging, making it an excellent textbook and ideal for a first-year graduate course. Marshall's choice of beginning with power series (following Weierstrass) has the advantage of a very fast and direct approach to some of the highlights of the theory. The connection to Cauchy's integral calculus, which is the starting point of most texts, is then made through partial fractions and Runge's theorem. This makes the book an invaluable addition to the complex analysis literature.' Steffen Rohde, University of Washington

Papildus informācija

This user-friendly textbook follows Weierstrass' approach to offer a self-contained introduction to complex analysis.
List of Figures
viii
Preface xi
Prerequisites xv
PART I
1 Preliminaries
3(10)
1.1 Complex Numbers
3(3)
1.2 Estimates
6(2)
1.3 Stereographic Projection
8(2)
1.4 Exercises
10(3)
2 Analytic Functions
13(18)
2.1 Polynomials
13(2)
2.2 Fundamental Theorem of Algebra and Partial Fractions
15(2)
2.3 Power Series
17(3)
2.4 Analytic Functions
20(3)
2.5 Elementary Operations
23(4)
2.6 Exercises
27(4)
3 The Maximum Principle
31(12)
3.1 The Maximum Principle
31(2)
3.2 Local Behavior
33(2)
3.3 Growth on C and D
35(3)
3.4 Boundary Behavior
38(3)
3.5 Exercises
41(2)
4 Integration and Approximation
43(20)
4.1 Integration on Curves
43(4)
4.2 Equivalence of Analytic and Holomorphic
47(6)
4.3 Approximation by Rational Functions
53(7)
4.4 Exercises
60(3)
5 Cauchy's Theorem
63(18)
5.1 Cauchy's Theorem
63(1)
5.2 Winding Number
64(6)
5.3 Removable Singularities
70(2)
5.4 Laurent Series
72(4)
5.5 The Argument Principle
76(2)
5.6 Exercises
78(3)
6 Elementary Maps
81(24)
6.1 Linear Fractional Transformations
82(4)
6.2 Exp and Log
86(1)
6.3 Power Maps
87(2)
6.4 The Joukovski Map
89(2)
6.5 Trigonometric Functions
91(2)
6.6 Constructing Conformal Maps
93(5)
6.7 Exercises
98(7)
PART II
7 Harmonic Functions
105(18)
7.1 The Mean-Value Property and the Maximum Principle
105(6)
7.2 Cauchy-Riemann and Laplace Equations
111(3)
7.3 Hadamard, Lindelof and Harnack
114(4)
7.4 Exercises
118(5)
8 Conformal Maps and Harmonic Functions
123(18)
8.1 The Geodesic Zipper Algorithm
123(6)
8.2 The Riemann Mapping Theorem
129(3)
8.3 Symmetry and Conformal Maps
132(3)
8.4 Conformal Maps to Polygonal Regions
135(2)
8.5 Exercises
137(4)
9 Calculus of Residues
141(15)
9.1 Contour Integration and Residues
141(1)
9.2 Some Examples
142(3)
9.3 Fourier and Mellin Transforms
145(4)
9.4 Series via Residues
149(1)
9.5 Laplace and Inverse Laplace Transforms
150(4)
9.6 Exercises
154(2)
10 Normal Families
156(14)
10.1 Normality and Equicontinuity
156(6)
10.2 Riemann Mapping Theorem Revisited
162(2)
10.3 Zalcman, Montel and Picard
164(4)
10.4 Exercises
168(2)
11 Series and Products
170(25)
11.1 Mittag-Leffler's Theorem
170(5)
11.2 Weierstrass Products
175(6)
11.3 Blaschke Products
181(3)
11.4 The Gamma and Zeta Functions
184(5)
11.5 Exercises
189(6)
PART III
12 Conformal Maps to Jordan Regions
195(12)
12.1 Some Badly Behaved Regions
195(2)
12.2 Janiszewski's Lemma
197(2)
12.3 Jordan Curve Theorem
199(2)
12.4 Caratheodory's Theorem
201(4)
12.5 Exercises
205(2)
13 The Dirichlet Problem
207(9)
13.1 Perron Process
207(2)
13.2 Local Barriers
209(3)
13.3 Riemann Mapping Theorem Again
212(2)
13.4 Exercises
214(2)
14 Riemann Surfaces
216(14)
14.1 Analytic Continuation and Monodromy
216(4)
14.2 Riemann Surfaces and Universal Covers
220(6)
14.3 Deck Transformations
226(1)
14.4 Exercises
227(3)
15 The Uniformization Theorem
230(16)
15.1 The Modular Function
230(2)
15.2 Green's Function
232(5)
15.3 Simply-Connected Riemann Surfaces
237(6)
15.4 Classification of All Riemann Surfaces
243(1)
15.5 Exercises
243(3)
16 Meromorphic Functions on a Riemann Surface
246(14)
16.1 Existence of Meromorphic Functions
246(1)
16.2 Properly Discontinuous Groups on C* and C
246(2)
16.3 Elliptic Functions
248(3)
16.4 Fuchsian Groups
251(2)
16.5 Blaschke Products and Convergence Type
253(4)
16.6 Exercises
257(3)
Appendix
260(7)
A.1 Fifteen Conditions Equivalent to Analytic
260(1)
A.2 Program for Color Pictures
261(6)
Bibliography 267(2)
Index 269
Donald E. Marshall is Professor of Mathematics at the University of Washington. He received his Ph.D. from University of California, Los Angeles in 1976. Professor Marshall is a leading complex analyst with a very strong research record that has been continuously funded throughout his career. He has given invited lectures in over a dozen countries. He is coauthor of the research-level monograph Harmonic Measure (Cambridge, 2005).