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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Format: | Texto biblioteca |
Language: | eng |
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Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser,
2002
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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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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. |
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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] / |
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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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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) |
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DiBenedetto, Emmanuele. author. SpringerLink (Online service) |
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DiBenedetto, Emmanuele. author. |
title |
Real Analysis [electronic resource] / |
title_short |
Real Analysis [electronic resource] / |
title_full |
Real Analysis [electronic resource] / |
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Real Analysis [electronic resource] / |
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Real Analysis [electronic resource] / |
title_sort |
real analysis [electronic resource] / |
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Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, |
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2002 |
url |
http://dx.doi.org/10.1007/978-1-4612-0117-5 |
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AT dibenedettoemmanueleauthor realanalysiselectronicresource AT springerlinkonlineservice realanalysiselectronicresource |
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1756263785552674816 |
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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 |