A Course in Mathematical Analysis: Volume 3, Complex Analysis, Measure and Integration

Author: D. J. H. Garling  

Publisher: Cambridge University Press‎

Publication year: 2014

E-ISBN: 9781107596542

P-ISBN(Paperback): 9781107032040

Subject: O17 Mathematical Analysis

Keyword: 实分析、实变函数

Language: ENG

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A Course in Mathematical Analysis: Volume 3, Complex Analysis, Measure and Integration

Description

The three volumes of A Course in Mathematical Analysis provide a full and detailed account of all those elements of real and complex analysis that an undergraduate mathematics student can expect to encounter in the first two or three years of study. Containing hundreds of exercises, examples and applications, these books will become an invaluable resource for both students and instructors. Volume 1 focuses on the analysis of real-valued functions of a real variable. Volume 2 goes on to consider metric and topological spaces. This third volume develops the classical theory of functions of a complex variable. It carefully establishes the properties of the complex plane, including a proof of the Jordan curve theorem. Lebesgue measure is introduced, and is used as a model for other measure spaces, where the theory of integration is developed. The Radon–Nikodym theorem is proved, and the differentiation of measures discussed.

Chapter

20.6 The maximum modulus principle

21 The topology of the complex plane

21.1 Winding numbers

21.2 Homotopic closed paths

21.3 The Jordan curve theorem

21.4 Surrounding a compact connected set

21.5 Simply connected sets

22 Complex integration

22.1 Integration along a path

22.2 Approximating path integrals

22.3 Cauchy's theorem

22.4 The Cauchy kernel

22.5 The winding number as an integral

22.6 Cauchy's integral formula for circular and square paths

22.7 Simply connected domains

22.8 Liouville's theorem

22.9 Cauchy's theorem revisited

22.10 Cycles; Cauchy's integral formula revisited

22.11 Functions defined inside a contour

22.12 The Schwarz reflection principle

23 Zeros and singularities

23.1 Zeros

23.2 Laurent series

23.3 Isolated singularities

23.4 Meromorphic functions and the complex sphere

23.5 The residue theorem

23.6 The principle of the argument

23.7 Locating zeros

24 The calculus of residues

24.1 Calculating residues

24.2 Integrals of the form ∫[sup(2π)][sub(0)] f(cos t, sin t) dt

24.3 Integrals of the form ∫[sup(∞)][sub(-∞)] f(x) dx

24.4 Integrals of the form ∫[sup(∞)][sub(0)] x[sup(α)] f(x) dx

24.5 Integrals of the form ∫[sup(∞)][sub(0)] f(x) dx

25 Conformal transformations

25.1 Introduction

25.2 Univalent functions on C

25.3 Univalent functions on the punctured plane C*

25.4 The Möbius group

25.5 The conformal automorphisms of D

25.6 Some more conformal transformations

25.7 The space H(U) of holomorphic functions on a domain U

25.8 The Riemann mapping theorem

26 Applications

26.1 Jensen's formula

26.2 The function π cot πz

26.3 The functions π cosec πz

26.4 Infinite products

26.5 *Euler's product formula*

26.6 Weierstrass products

26.7 The gamma function revisited

26.8 Bernoulli numbers, and the evaluation of ζ(2k)

26.9 The Riemann zeta function revisited

Part Six Measure and Integration

27 Lebesgue measure on R

27.1 Introduction

27.2 The size of open sets, and of closed sets

27.3 Inner and outer measure

27.4 Lebesgue measurable sets

27.5 Lebesgue measure on R

27.6 A non-measurable set

28 Measurable spaces and measurable functions

28.1 Some collections of sets

28.2 Borel sets

28.3 Measurable real-valued functions

28.4 Measure spaces

28.5 Null sets and Borel sets

28.6 Almost sure convergence

29 Integration

29.1 Integrating non-negative functions

29.2 Integrable functions

29.3 Changing measures and changing variables

29.4 Convergence in measure

29.5 The spaces L[sup(1)][sub(R)] (X, Σ, μ) and L[sup(1)][sub(C)] (X, Σ, μ)

29.6 The spaces L[sup(p)][sub(R)] (X, Σ, μ) and L[sup(p)][sub(C)] (X, Σ, μ), for 0 < p < ∞

29.7 The spaces L[sup(∞ )][sub(R)] (X, Σ, μ) and L[sup(∞)][sub(C)] (X, Σ, μ)

30 Constructing measures

30.1 Outer measures

30.2 Caratheodory's extension theorem

30.3 Uniqueness

30.4 Product measures

30.5 Borel measures on R, I

31 Signed measures and complex measures

31.1 Signed measures

31.2 Complex measures

31.3 Functions of bounded variation

32 Measures on metric spaces

32.1 Borel measures on metric spaces

32.2 Tight measures

32.3 Radon measures

33 Differentiation

33.1 The Lebesgue decomposition theorem

33.2 Sublinear mappings

33.3 The Lebesgue differentiation theorem

33.4 Borel measures on R, II

34 Applications

34.1 Bernstein polynomials

34.2 The dual space of L[sup(p)][sub(C)] (X, Σ, μ), for 1 ≤ p < ∞

34.3 Convolution

34.4 Fourier series revisited

34.5 The Poisson kernel

34.6 Boundary behaviour of harmonic functions

Index

Contents for Volume I

Contents for Volume II

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