
Real Analysis is indispensable for in-depth understanding and effective application of methods of modern analysis. This concise and friendly book is written for early graduate students of mathematics or of related disciplines hoping to learn the basics of Real Analysis with reasonable ease. The essential role of Real Analysis in the construction of basic function spaces necessary for the application of Functional Analysis in many fields of scientific disciplines is demonstrated with due explanations and illuminating examples. After the introductory chapter, a compact but precise treatment of general measure and integration is taken up so that readers have an overall view of the simple structure of the general theory before delving into special measures. The universality of the method of outer measure in the construction of measures is emphasized because it provides a unified way of looking for useful regularity properties of measures. The chapter on functions of real variables sits at the core of the book; it treats in detail properties of functions that are not only basic for understanding the general feature of functions but also relevant for the study of those function spaces which are important when application of functional analytical methods is in question. This is then followed naturally by an introductory chapter on basic principles of Functional Analysis which reveals, together with the last two chapters on the space of p-integrable functions and Fourier integral, the intimate interplay between Functional Analysis and Real Analysis. Applications of many of the topics discussed are included to motivate the readers for further related studies; these contain explorations towards probability theory and partial differential equations.
This text investigates the foundational principles of Real Analysis and its critical role in the construction of function spaces required for Functional Analysis. Author Fon-Che Liu provides a structured pedagogical framework designed for early graduate students, utilizing a blend of theoretical rigor and illustrative examples to bridge the gap between basic measure theory and advanced scientific applications.
What You Will Find
Scope Limits
Readers frequently note the accessible yet precise nature of the prose, which makes complex analytical concepts manageable for graduate students. Experts highlight this as a useful bridge for those transitioning from undergraduate calculus to specialized research in probability theory or partial differential equations.
Page Count:
288
Publication Date:
2016-01-01
Publisher:
OUP Oxford
ISBN-10:
0192507656
ISBN-13:
9780192507655
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