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An Illustrative Introduction to Modern Analysis

2018-01-02 Mathematics
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Release : 2018-01-02
Genre : Mathematics
Kind : eBook
Book Rating : 337/5 ( reviews)

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Book Synopsis An Illustrative Introduction to Modern Analysis by : Nikolaos Katzourakis

Download or read book An Illustrative Introduction to Modern Analysis written by Nikolaos Katzourakis. This book was released on 2018-01-02. Available in PDF, EPUB and Kindle. Book excerpt: Aimed primarily at undergraduate level university students, An Illustrative Introduction to Modern Analysis provides an accessible and lucid contemporary account of the fundamental principles of Mathematical Analysis. The themes treated include Metric Spaces, General Topology, Continuity, Completeness, Compactness, Measure Theory, Integration, Lebesgue Spaces, Hilbert Spaces, Banach Spaces, Linear Operators, Weak and Weak* Topologies. Suitable both for classroom use and independent reading, this book is ideal preparation for further study in research areas where a broad mathematical toolbox is required.

Introduction to Modern Analysis

2003 Mathematics
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Release : 2003
Genre : Mathematics
Kind : eBook
Book Rating : 563/5 ( reviews)

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Book Synopsis Introduction to Modern Analysis by : Shmuel Kantorovitz

Download or read book Introduction to Modern Analysis written by Shmuel Kantorovitz. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: This text is based on lectures given by the author in measure theory, functional analysis, Banach algebras, spectral theory (of bounded and unbounded operators), semigroups of operators, probability and mathematical statistics, and partial differential equations.

Introduction to Modern Analysis

2022-07-18 Mathematics
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Release : 2022-07-18
Genre : Mathematics
Kind : eBook
Book Rating : 193/5 ( reviews)

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Book Synopsis Introduction to Modern Analysis by : Shmuel Kantorovitz

Download or read book Introduction to Modern Analysis written by Shmuel Kantorovitz. This book was released on 2022-07-18. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to modern analysis aimed at advanced undergraduate and graduate-level students of mathematics. Professional academics will also find this to be a useful reference work. It covers measure theory, basic functional analysis, single operator theory, spectral theory of bounded and unbounded operators, semigroups of operators, and Banach algebras. Further, this new edition of the textbook also delves deeper into C*-algebras and their standard constructions, von Neumann algebras, probability and mathematical statistics, and partial differential equations. Most chapters contain relatively advanced topics alongside simpler ones, starting from the very basics of modern analysis and slowly advancing to more involved topics. The text is supplemented by many exercises, to allow readers to test their understanding and practical analysis skills.

Modern Analysis (1997)

2017-11-22 Mathematics
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Release : 2017-11-22
Genre : Mathematics
Kind : eBook
Book Rating : 991/5 ( reviews)

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Book Synopsis Modern Analysis (1997) by : Kenneth Kuttler

Download or read book Modern Analysis (1997) written by Kenneth Kuttler. This book was released on 2017-11-22. Available in PDF, EPUB and Kindle. Book excerpt: Modern Analysis provides coverage of real and abstract analysis, offering a sensible introduction to functional analysis as well as a thorough discussion of measure theory, Lebesgue integration, and related topics. This significant study clearly and distinctively presents the teaching and research literature of graduate analysis: Providing a fundamental, modern approach to measure theory Investigating advanced material on the Bochner integral, geometric theory, and major theorems in Fourier Analysis Rn, including the theory of singular integrals and Milhin's theorem - material that does not appear in textbooks Offering exceptionally concise and cardinal versions of all the main theorems about characteristic functions Containing an original examination of sufficient statistics, based on the general theory of Radon measures With an ambitious scope, this resource unifies various topics into one volume succinctly and completely. The contents span basic measure theory in an abstract and concrete form, material on classic linear functional analysis, probability, and some major results used in the theory of partial differential equations. Two different proofs of the central limit theorem are examined as well as a straightforward approach to conditional probability and expectation. Modern Analysis provides ample and well-constructed exercises and examples. Introductory topology is included to help the reader understand such items as the Riesz theorem, detailing its proofs and statements. This work will help readers apply measure theory to probability theory, guiding them to understand the theorems rather than merely follow directions.

Modern Analysis

1997-11-20 Mathematics
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Release : 1997-11-20
Genre : Mathematics
Kind : eBook
Book Rating : 660/5 ( reviews)

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Book Synopsis Modern Analysis by : Kenneth Kuttler

Download or read book Modern Analysis written by Kenneth Kuttler. This book was released on 1997-11-20. Available in PDF, EPUB and Kindle. Book excerpt: Modern Analysis provides coverage of real and abstract analysis, offering a sensible introduction to functional analysis as well as a thorough discussion of measure theory, Lebesgue integration, and related topics. This significant study clearly and distinctively presents the teaching and research literature of graduate analysis: Providing a fundamental, modern approach to measure theory Investigating advanced material on the Bochner integral, geometric theory, and major theorems in Fourier Analysis Rn, including the theory of singular integrals and Milhin's theorem - material that does not appear in textbooks Offering exceptionally concise and cardinal versions of all the main theorems about characteristic functions Containing an original examination of sufficient statistics, based on the general theory of Radon measures With an ambitious scope, this resource unifies various topics into one volume succinctly and completely. The contents span basic measure theory in an abstract and concrete form, material on classic linear functional analysis, probability, and some major results used in the theory of partial differential equations. Two different proofs of the central limit theorem are examined as well as a straightforward approach to conditional probability and expectation. Modern Analysis provides ample and well-constructed exercises and examples. Introductory topology is included to help the reader understand such items as the Riesz theorem, detailing its proofs and statements. This work will help readers apply measure theory to probability theory, guiding them to understand the theorems rather than merely follow directions.

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