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Measure and Integral (2nd Ed.) An Introduction to Real Analysis, Second Edition Chapman & Hall/CRC Pure and Applied Mathematics Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Measure and Integral

Now considered a classic text on the topic, Measure and Integral: An Introduction to Real Analysis provides an introduction to real analysis by first developing the theory of measure and integration in the simple setting of Euclidean space, and then presenting a more general treatment based on abstract notions characterized by axioms and with less geometric content.

Published nearly forty years after the first edition, this long-awaited Second Edition also:

  • Studies the Fourier transform of functions in the spaces L1, L2, and Lp, 1 < p < 2
  • Shows the Hilbert transform to be a bounded operator on L2, as an application of the L2 theory of the Fourier transform in the one-dimensional case
  • Covers fractional integration and some topics related to mean oscillation properties of functions, such as the classes of Hölder continuous functions and the space of functions of bounded mean oscillation
  • Derives a subrepresentation formula, which in higher dimensions plays a role roughly similar to the one played by the fundamental theorem of calculus in one dimension
  • Extends the subrepresentation formula derived for smooth functions to functions with a weak gradient
  • Applies the norm estimates derived for fractional integral operators to obtain local and global first-order Poincaré?Sobolev inequalities, including endpoint cases
  • Proves the existence of a tangent plane to the graph of a Lipschitz function of several variables
  • Includes many new exercises not present in the first edition

This widely used and highly respected text for upper-division undergraduate and first-year graduate students of mathematics, statistics, probability, or engineering is revised for a new generation of students and instructors. The book also serves as a handy reference for professional mathematicians.

Preface to the Second Edition

Preface to the First Edition



Points and Sets in Rn

Rn as a Metric Space

Open and Closed Sets in Rn, and Special Sets

Compact Sets and the Heine–Borel Theorem


Continuous Functions and Transformations

The Riemann Integral


Functions of Bounded Variation and the Riemann–Stieltjes Integral

Functions of Bounded Variation

Rectifiable Curves

The Riemann–Stieltjes Integral

Further Results about Riemann–Stieltjes Integrals


Lebesgue Measure and Outer Measure

Lebesgue Outer Measure and the Cantor Set

Lebesgue Measurable Sets

Two Properties of Lebesgue Measure

Characterizations of Measurability

Lipschitz Transformations of Rn

A Nonmeasurable Set


Lebesgue Measurable Functions

Elementary Properties of Measurable Functions

Semicontinuous Functions

Properties of Measurable Functions and Theorems of Egorov and Lusin

Convergence in Measure


The Lebesgue Integral

Definition of the Integral of a Nonnegative Function

Properties of the Integral

The Integral of an Arbitrary Measurable f

Relation between Riemann–Stieltjes and Lebesgue Integrals, and the Lp Spaces, 0 < p < ∞

Riemann and Lebesgue Integrals


Repeated Integration

Fubini’s Theorem

Tonelli’s Theorem

Applications of Fubini’s Theorem



The Indefinite Integral

Lebesgue’s Differentiation Theorem

Vitali Covering Lemma

Differentiation of Monotone Functions

Absolutely Continuous and Singular Functions

Convex Functions

The Differential in Rn


Lp Classes

Definition of Lp

Hölder’s Inequality and Minkowski’s Inequality

Classes l p

Banach and Metric Space Properties

The Space L2 and Orthogonality

Fourier Series and Parseval’s Formula

Hilbert Spaces


Approximations of the Identity and Maximal Functions


Approximations of the Identity

The Hardy–Littlewood Maximal Function

The Marcinkiewicz Integral


Abstract Integration

Additive Set Functions and Measures

Measurable Functions and Integration

Absolutely Continuous and Singular Set Functions and Measures

The Dual Space of Lp

Relative Differentiation of Measures


Outer Measure and Measure

Constructing Measures from Outer Measures

Metric Outer Measures

Lebesgue–Stieltjes Measure

Hausdorff Measure

Carathéodory–Hahn Extension Theorem


A Few Facts from Harmonic Analysis

Trigonometric Fourier Series

Theorems about Fourier Coefficients

Convergence of S[f] and [f]

Divergence of Fourier Series

Summability of Sequences and Series

Summability of S[f] and [f] by the Method of the Arithmetic Mean

Summability of S[f] by Abel Means

Existence of f Þ

Properties of f Þ for fLp, 1 < p < ∞

Application of Conjugate Functions to Partial Sums of S[f]


The Fourier Transform

The Fourier Transform on L1

The Fourier Transform on L2

The Hilbert Transform on L2

The Fourier Transform on Lp, 1 < p < 2


Fractional Integration

Subrepresentation Formulas and Fractional Integrals

L1, L1 Poincaré Estimates and the Subrepresentation Formula; Hölder Classes

Norm Estimates for Iα

Exponential Integrability of Iαf

Bounded Mean Oscillation


Weak Derivatives and Poincaré–Sobolev Estimates

Weak Derivatives

Approximation by Smooth Functions and Sobolev Spaces

Poincaré–Sobolev Estimates




Upper-division undergraduate and graduate students of mathematics, statistics, probability, or engineering, as well as professional mathematicians.

Date de parution :

15.6x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 13 jours).

Prix indicatif 86,27 €

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