Advanced Real Analysis: Cornerstones
Autor Anthony W. Knappen Limba Engleză Hardback – 27 iul 2005
Advanced Real Analysis requires of the reader a first course in measure theory, including an introduction to the Fourier transform and to Hilbert and Banach spaces. Some familiarity with complex analysis is helpful for certain chapters. The book is suitable as a text in graduate courses such as Fourier and functional analysis, modern analysis, and partial differential equations. Because it focuses on what every young mathematician needs to know about real analysis, the book is ideal both as a course text and forself-study, especially for graduate students preparing for qualifying examinations. Its scope and approach will appeal to instructors and professors in nearly all areas of pure mathematics, as well as applied mathematicians working in analytic areas such as statistics, mathematical physics, and differential equations. Indeed, the clarity and breadth of Advanced Real Analysis make it a welcome addition to the personal library of every mathematician.
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Specificații
ISBN-13: 9780817643829
ISBN-10: 0817643826
Pagini: 466
Ilustrații: XXIV, 466 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.81 kg
Ediția:2005
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Cornerstones
Locul publicării:Boston, MA, United States
ISBN-10: 0817643826
Pagini: 466
Ilustrații: XXIV, 466 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.81 kg
Ediția:2005
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Cornerstones
Locul publicării:Boston, MA, United States
Public țintă
GraduateCuprins
to Boundary-Value Problems.- Compact Self-Adjoint Operators.- Topics in Euclidean Fourier Analysis.- Topics in Functional Analysis.- Distributions.- Compact and Locally Compact Groups.- Aspects of Partial Differential Equations.- Analysis on Manifolds.- Foundations of Probability.
Recenzii
From the reviews:
“It is useful both as a course text and for self-study. One can see, that its content is near all areas of pure mathematics, as well as applied mathematics, including statistics, mathematical physics, and differential equations. I think that and this volume turns to be useful for any mathematical library and can be recommended to students and lecturers.”(ZENTRALBLATT MATH)
“It is useful both as a course text and for self-study. One can see, that its content is near all areas of pure mathematics, as well as applied mathematics, including statistics, mathematical physics, and differential equations. I think that and this volume turns to be useful for any mathematical library and can be recommended to students and lecturers.”(ZENTRALBLATT MATH)
Textul de pe ultima copertă
Basic Real Analysis and Advanced Real Analysis (available separately or together as a Set) systematically develop those concepts and tools in real analysis that are vital to every mathematician, whether pure or applied, aspiring or established. These works present a comprehensive treatment with a global view of the subject, emphasizing the connections between real analysis and other branches of mathematics.
Key topics and features of Advanced Real Analysis:
* Develops Fourier analysis and functional analysis with an eye toward partial differential equations
* Includes chapters on Sturm–Liouville theory, compact self-adjoint operators, Euclidean Fourier analysis, topological vector spaces and distributions, compact and locally compact groups, and aspects of partial differential equations
* Contains chapters about analysis on manifolds and foundations of probability
* Proceeds from the particular to the general, often introducing examples well before a theory that incorporates them
* Includes many examples and nearly two hundred problems, and a separate 45-page section gives hints or complete solutions for most of the problems
* Incorporates, in the text and especially in the problems, material in which real analysis is used in algebra, in topology, in complex analysis, in probability, in differential geometry, and in applied mathematics of various kinds
Advanced Real Analysis requires of the reader a first course in measure theory, including an introduction to the Fourier transform and to Hilbert and Banach spaces. Some familiarity with complex analysis is helpful for certain chapters. The book is suitable as a text in graduate courses such as Fourier and functional analysis, modern analysis, and partial differential equations. Because it focuses on what every young mathematician needs to know about real analysis, the book is ideal both asa course text and for self-study, especially for graduate students preparing for qualifying examinations. Its scope and approach will appeal to instructors and professors in nearly all areas of pure mathematics, as well as applied mathematicians working in analytic areas such as statistics, mathematical physics, and differential equations. Indeed, the clarity and breadth of Advanced Real Analysis make it a welcome addition to the personal library of every mathematician.
Key topics and features of Advanced Real Analysis:
* Develops Fourier analysis and functional analysis with an eye toward partial differential equations
* Includes chapters on Sturm–Liouville theory, compact self-adjoint operators, Euclidean Fourier analysis, topological vector spaces and distributions, compact and locally compact groups, and aspects of partial differential equations
* Contains chapters about analysis on manifolds and foundations of probability
* Proceeds from the particular to the general, often introducing examples well before a theory that incorporates them
* Includes many examples and nearly two hundred problems, and a separate 45-page section gives hints or complete solutions for most of the problems
* Incorporates, in the text and especially in the problems, material in which real analysis is used in algebra, in topology, in complex analysis, in probability, in differential geometry, and in applied mathematics of various kinds
Advanced Real Analysis requires of the reader a first course in measure theory, including an introduction to the Fourier transform and to Hilbert and Banach spaces. Some familiarity with complex analysis is helpful for certain chapters. The book is suitable as a text in graduate courses such as Fourier and functional analysis, modern analysis, and partial differential equations. Because it focuses on what every young mathematician needs to know about real analysis, the book is ideal both asa course text and for self-study, especially for graduate students preparing for qualifying examinations. Its scope and approach will appeal to instructors and professors in nearly all areas of pure mathematics, as well as applied mathematicians working in analytic areas such as statistics, mathematical physics, and differential equations. Indeed, the clarity and breadth of Advanced Real Analysis make it a welcome addition to the personal library of every mathematician.
Caracteristici
Presents a comprehensive treatment with a global view of the subject Rich in examples, problems with hints, and solutions, the book makes a welcome addition to the library of every mathematician Includes supplementary material: sn.pub/extras