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内容大纲
本书作品旨在为读者提供学习欧几里得调和解析领域的理论基础,各章有习题及提示。
本书原始版本是以单卷集发布的,但是由于其体积、范围和新材料的增加,第2版改为两卷集发行,新增时频分析和Carleson-Hunt定理等内容。
第3版在第2版的基础上修订新增一些章节,并将加权不等式一章从《现代傅里叶分析》调整到《经典傅里叶分析》,新增若干实例和应用内容,以及一些习题和提示。 -
作者介绍
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目录
1 Lp Spaces and Interpolation
1.1 Lp and Weak Lp
1.1.1 The Distribution Function
1.1.2 Convergence in Measure
1.1.3 A First Glimpse at Interpolation
Exercises
1.2 Convolution and Approximate Identities
1.2.1 Examples of Topological Groups
1.2.2 Convolution
1.2.3 Basic Convolution Inequalities
1.2.4 Approximate Identities
Exercises
1.3 Interpolation
1.3.1 Real Method: The Marcinkiewicz Interpolation Theorem
1.3.2 Complex Method: The Riesz-Thorin Interpolation Theorem
1.3.3 Interpolation of Analytic Families of Operators
Exercises
1.4 Lorentz Spaces
1.4.1 Decreasing Rearrangements
1.4.2 Lorentz Spaces
1.4.3 Duals of Lorentz Spaces
1.4.4 The Off-Diagonal Marcinkiewicz Interpolation Theorem
Exercises
2 Maximal Functions, Fourier Transform, and Distributions
2.1 Maximal Functions
2.1.1 The Hardy-Littlewood Maximal Operator
2.1.2 Control of Other Maximal Operators
2.1.3 Applications to Differentiation Theory
Exercises
2.2 The Schwartz Class and the Fourier Transform
2.2.1 The Class of Schwartz Functions
2.2.2 The Fourier Transform of a Schwartz Function
2.2.3 The Inverse Fourier Transform and Fourier Inversion
2.2.4 The Fourier Transform on L1 + L2
Exercises
2.3 The Class of Tempered Distributions
2.3.1 Spaces of Test Functions
2.3.2 Spaces of Functionals on Test Functions
2.3.3 The Space of Tempered Distributions
Exercises
2.4 More About Distributions and the Fourier Transform
2.4.1 Distributions Supported at a Point
2.4.2 The Laplacian
2.4.3 Homogeneous Distributions
Exercises
2.5 Convolution Operators on Lp Spaces and Multipliers
2.5.1 Operators That Commute with Translations
2.5.2 The Transpose and the Adjoint of a Linear Operator
2.5.3 The Spaces Mp,q(Rn)
2.5.4 Characterizations of M1,1 (Rn) and M2,2 (Rn)
2.5.5 The Space of Fourier Multipliers Mp(Rn)
Exercises
2.6 Oscillatory Integrals
2.6.1 Phases with No Critical Points
2.6.2 Sublevel Set Estimates and the Van der Corput Lemma
Exercises
3 Fourier Series
3.1 Fourier Coefficients
3.1.1 The n-Torus Tn
3.1.2 Fourier Coefficients
3.1.3 The Dirichlet and Fejer Kernels
Exercises
3.2 Reproduction of Functions from Their Fourier Coefficients
3.2.1 Partial sums and Fourier inversion
3.2.2 Fourier series of square summable functions
3.2.3 The Poisson Summation Formula
Exercises
3.3 Decay of Fourier Coefficients
3.3.1 Decay of Fourier Coefficients of Arbitrary Integrable Functions
3.3.2 Decay of Fourier Coefficients of Smooth Functions
……
4 Topics on Fourier Series
5 Singular Integrals of Convolution Type
6 Littlewood-Paley Theory and Multipliers
7 Weighted Inequalities
A Gamma and Beta Functions
B Bessel Functions
C Rademacher Functions
D Spherical Coordinates
E Some Trigonometric Identities and Inequalities
F Summation by Parts
G Basic Functional Analysis
H The Minimax Lemma
I Taylor's and Mean Value Theorem in Several Variables
J The Whitney Decomposition of Open Sets in Rn
Glossary
References
Index
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