ABSTRACT

Principles of Analysis: Measure, Integration, Functional Analysis, and Applications prepares readers for advanced courses in analysis, probability, harmonic analysis, and applied mathematics at the doctoral level. The book also helps them prepare for qualifying exams in real analysis. It is designed so that the reader or instructor may select topics suitable to their needs. The author presents the text in a clear and straightforward manner for the readers’ benefit. At the same time, the text is a thorough and rigorous examination of the essentials of measure, integration and functional analysis.

The book includes a wide variety of detailed topics and serves as a valuable reference and as an efficient and streamlined examination of advanced real analysis. The text is divided into four distinct sections: Part I develops the general theory of Lebesgue integration; Part II is organized as a course in functional analysis; Part III discusses various advanced topics, building on material covered in the previous parts; Part IV includes two appendices with proofs of the change of the variable theorem and a joint continuity theorem. Additionally, the theory of metric spaces and of general topological spaces are covered in detail in a preliminary chapter .

Features:

  • Contains direct and concise proofs with attention to detail
  • Features a substantial variety of interesting and nontrivial examples
  • Includes nearly 700 exercises ranging from routine to challenging with hints for the more difficult exercises
  • Provides an eclectic set of special topics and applications

About the Author:

Hugo D. Junghenn is a professor of mathematics at The George Washington University. He has published numerous journal articles and is the author of several books, including Option Valuation: A First Course in Financial Mathematics and A Course in Real Analysis. His research interests include functional analysis, semigroups, and probability.

chapter |40 pages

Preliminaries

part I|155 pages

Measure and Integration

chapter 1|31 pages

Measurable Sets

chapter 2|14 pages

Measurable Functions

chapter 3|34 pages

Integration

chapter 5|29 pages

Differentiation

chapter 6|12 pages

Fourier Analysis on R d $ \mathbb R ^d $

chapter 7|15 pages

Measures on Locally Compact Spaces

part II|170 pages

Functional Analysis

chapter 8|42 pages

Banach Spaces

chapter 9|15 pages

Locally Convex Spaces

chapter 10|15 pages

Weak Topologies on Normed Spaces

chapter 11|16 pages

Hilbert Spaces

chapter 12|26 pages

Operator Theory

chapter 13|26 pages

Banach Algebras

chapter 14|26 pages

Miscellaneous Topics

part III|125 pages

Applications

chapter 15|16 pages

Distributions

chapter 16|38 pages

Analysis on Locally Compact Groups

chapter 17|20 pages

Analysis on Semigroups

chapter 18|49 pages

Probability Theory