Real Analysis [electronic resource] /

The focus of this modern graduate text in real analysis is to prepare the potential researcher to a rigorous "way of thinking" in applied mathematics and partial differential equations. The book will provide excellent foundations and serve as a solid building block for research in analysis, PDEs, the calculus of variations, probability, and approximation theory. All the core topics of the subject are covered, from a basic introduction to functional analysis, to measure theory, integration and weak differentiation of functions, and in a presentation that is hands-on, with little or no unnecessary abstractions. Additional features: * Carefully chosen topics, some not touched upon elsewhere: fine properties of integrable functions as they arise in applied mathematics and PDEs – Radon measures, the Lebesgue Theorem for general Radon measures, the Besicovitch covering Theorem, the Rademacher Theorem; topics in Marcinkiewicz integrals, functions of bounded variation, Legendre transform and the characterization of compact subset of some metric function spaces and in particular of Lp spaces * Constructive presentation of the Stone-Weierstrass Theorem * More specialized chapters (8-10) cover topics often absent from classical introductiory texts in analysis: maximal functions and weak Lp spaces, the Calderón-Zygmund decomposition, functions of bounded mean oscillation, the Stein-Fefferman Theorem, the Marcinkiewicz Interpolation Theorem, potential theory, rearrangements, estimations of Riesz potentials including limiting cases * Provides a self-sufficient introduction to Sobolev Spaces, Morrey Spaces and Poincaré inequalities as the backbone of PDEs and as an essential environment to develop modern and current analysis * Comprehensive index This clear, user-friendly exposition of real analysis covers a great deal of territory in a concise fashion, with sufficient motivation and examples throughout. A number of excellent problems, as well as some remarkable features of the exercises, occur at the end of every chapter, which point to additional theorems and results. Stimulating open problems are proposed to engage students in the classroom or in a self-study setting.

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Main Authors: DiBenedetto, Emmanuele. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2002
Subjects:Mathematics., Mathematical analysis., Analysis (Mathematics)., Measure theory., Partial differential equations., Applied mathematics., Engineering mathematics., Applications of Mathematics., Analysis., Measure and Integration., Partial Differential Equations.,
Online Access:http://dx.doi.org/10.1007/978-1-4612-0117-5
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institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
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tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Mathematical analysis.
Analysis (Mathematics).
Measure theory.
Partial differential equations.
Applied mathematics.
Engineering mathematics.
Mathematics.
Applications of Mathematics.
Analysis.
Measure and Integration.
Partial Differential Equations.
Mathematics.
Mathematical analysis.
Analysis (Mathematics).
Measure theory.
Partial differential equations.
Applied mathematics.
Engineering mathematics.
Mathematics.
Applications of Mathematics.
Analysis.
Measure and Integration.
Partial Differential Equations.
spellingShingle Mathematics.
Mathematical analysis.
Analysis (Mathematics).
Measure theory.
Partial differential equations.
Applied mathematics.
Engineering mathematics.
Mathematics.
Applications of Mathematics.
Analysis.
Measure and Integration.
Partial Differential Equations.
Mathematics.
Mathematical analysis.
Analysis (Mathematics).
Measure theory.
Partial differential equations.
Applied mathematics.
Engineering mathematics.
Mathematics.
Applications of Mathematics.
Analysis.
Measure and Integration.
Partial Differential Equations.
DiBenedetto, Emmanuele. author.
SpringerLink (Online service)
Real Analysis [electronic resource] /
description The focus of this modern graduate text in real analysis is to prepare the potential researcher to a rigorous "way of thinking" in applied mathematics and partial differential equations. The book will provide excellent foundations and serve as a solid building block for research in analysis, PDEs, the calculus of variations, probability, and approximation theory. All the core topics of the subject are covered, from a basic introduction to functional analysis, to measure theory, integration and weak differentiation of functions, and in a presentation that is hands-on, with little or no unnecessary abstractions. Additional features: * Carefully chosen topics, some not touched upon elsewhere: fine properties of integrable functions as they arise in applied mathematics and PDEs – Radon measures, the Lebesgue Theorem for general Radon measures, the Besicovitch covering Theorem, the Rademacher Theorem; topics in Marcinkiewicz integrals, functions of bounded variation, Legendre transform and the characterization of compact subset of some metric function spaces and in particular of Lp spaces * Constructive presentation of the Stone-Weierstrass Theorem * More specialized chapters (8-10) cover topics often absent from classical introductiory texts in analysis: maximal functions and weak Lp spaces, the Calderón-Zygmund decomposition, functions of bounded mean oscillation, the Stein-Fefferman Theorem, the Marcinkiewicz Interpolation Theorem, potential theory, rearrangements, estimations of Riesz potentials including limiting cases * Provides a self-sufficient introduction to Sobolev Spaces, Morrey Spaces and Poincaré inequalities as the backbone of PDEs and as an essential environment to develop modern and current analysis * Comprehensive index This clear, user-friendly exposition of real analysis covers a great deal of territory in a concise fashion, with sufficient motivation and examples throughout. A number of excellent problems, as well as some remarkable features of the exercises, occur at the end of every chapter, which point to additional theorems and results. Stimulating open problems are proposed to engage students in the classroom or in a self-study setting.
format Texto
topic_facet Mathematics.
Mathematical analysis.
Analysis (Mathematics).
Measure theory.
Partial differential equations.
Applied mathematics.
Engineering mathematics.
Mathematics.
Applications of Mathematics.
Analysis.
Measure and Integration.
Partial Differential Equations.
author DiBenedetto, Emmanuele. author.
SpringerLink (Online service)
author_facet DiBenedetto, Emmanuele. author.
SpringerLink (Online service)
author_sort DiBenedetto, Emmanuele. author.
title Real Analysis [electronic resource] /
title_short Real Analysis [electronic resource] /
title_full Real Analysis [electronic resource] /
title_fullStr Real Analysis [electronic resource] /
title_full_unstemmed Real Analysis [electronic resource] /
title_sort real analysis [electronic resource] /
publisher Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser,
publishDate 2002
url http://dx.doi.org/10.1007/978-1-4612-0117-5
work_keys_str_mv AT dibenedettoemmanueleauthor realanalysiselectronicresource
AT springerlinkonlineservice realanalysiselectronicresource
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spelling KOHA-OAI-TEST:1738722018-07-30T22:51:25ZReal Analysis [electronic resource] / DiBenedetto, Emmanuele. author. SpringerLink (Online service) textBoston, MA : Birkhäuser Boston : Imprint: Birkhäuser,2002.engThe focus of this modern graduate text in real analysis is to prepare the potential researcher to a rigorous "way of thinking" in applied mathematics and partial differential equations. The book will provide excellent foundations and serve as a solid building block for research in analysis, PDEs, the calculus of variations, probability, and approximation theory. All the core topics of the subject are covered, from a basic introduction to functional analysis, to measure theory, integration and weak differentiation of functions, and in a presentation that is hands-on, with little or no unnecessary abstractions. Additional features: * Carefully chosen topics, some not touched upon elsewhere: fine properties of integrable functions as they arise in applied mathematics and PDEs – Radon measures, the Lebesgue Theorem for general Radon measures, the Besicovitch covering Theorem, the Rademacher Theorem; topics in Marcinkiewicz integrals, functions of bounded variation, Legendre transform and the characterization of compact subset of some metric function spaces and in particular of Lp spaces * Constructive presentation of the Stone-Weierstrass Theorem * More specialized chapters (8-10) cover topics often absent from classical introductiory texts in analysis: maximal functions and weak Lp spaces, the Calderón-Zygmund decomposition, functions of bounded mean oscillation, the Stein-Fefferman Theorem, the Marcinkiewicz Interpolation Theorem, potential theory, rearrangements, estimations of Riesz potentials including limiting cases * Provides a self-sufficient introduction to Sobolev Spaces, Morrey Spaces and Poincaré inequalities as the backbone of PDEs and as an essential environment to develop modern and current analysis * Comprehensive index This clear, user-friendly exposition of real analysis covers a great deal of territory in a concise fashion, with sufficient motivation and examples throughout. A number of excellent problems, as well as some remarkable features of the exercises, occur at the end of every chapter, which point to additional theorems and results. Stimulating open problems are proposed to engage students in the classroom or in a self-study setting.Preliminaries -- I Topologies and Metric Spaces -- II Measuring Sets -- III The Lebesgue Integral -- IV Topics on Measurable Functions of Real Variables -- V The Lp(E) Spaces -- VI Banach Spaces -- VII Spaces of Continuous Functions, Distributions, and Weak Derivatives -- VIII Topics on Integrable Functions of Real Variables -- IX Embeddings of W1,p (E) into Lq (E) -- References.The focus of this modern graduate text in real analysis is to prepare the potential researcher to a rigorous "way of thinking" in applied mathematics and partial differential equations. The book will provide excellent foundations and serve as a solid building block for research in analysis, PDEs, the calculus of variations, probability, and approximation theory. All the core topics of the subject are covered, from a basic introduction to functional analysis, to measure theory, integration and weak differentiation of functions, and in a presentation that is hands-on, with little or no unnecessary abstractions. Additional features: * Carefully chosen topics, some not touched upon elsewhere: fine properties of integrable functions as they arise in applied mathematics and PDEs – Radon measures, the Lebesgue Theorem for general Radon measures, the Besicovitch covering Theorem, the Rademacher Theorem; topics in Marcinkiewicz integrals, functions of bounded variation, Legendre transform and the characterization of compact subset of some metric function spaces and in particular of Lp spaces * Constructive presentation of the Stone-Weierstrass Theorem * More specialized chapters (8-10) cover topics often absent from classical introductiory texts in analysis: maximal functions and weak Lp spaces, the Calderón-Zygmund decomposition, functions of bounded mean oscillation, the Stein-Fefferman Theorem, the Marcinkiewicz Interpolation Theorem, potential theory, rearrangements, estimations of Riesz potentials including limiting cases * Provides a self-sufficient introduction to Sobolev Spaces, Morrey Spaces and Poincaré inequalities as the backbone of PDEs and as an essential environment to develop modern and current analysis * Comprehensive index This clear, user-friendly exposition of real analysis covers a great deal of territory in a concise fashion, with sufficient motivation and examples throughout. A number of excellent problems, as well as some remarkable features of the exercises, occur at the end of every chapter, which point to additional theorems and results. Stimulating open problems are proposed to engage students in the classroom or in a self-study setting.Mathematics.Mathematical analysis.Analysis (Mathematics).Measure theory.Partial differential equations.Applied mathematics.Engineering mathematics.Mathematics.Applications of Mathematics.Analysis.Measure and Integration.Partial Differential Equations.Springer eBookshttp://dx.doi.org/10.1007/978-1-4612-0117-5URN:ISBN:9781461201175