KEY BENEFIT:This new book is written in a conversational, accessible style, offering a great deal of examples. It gradually ascends in difficulty to help the student avoid sudden changes in difficulty. Discusses analysis from the start of the book, to avoid unnecessary discussion on real numbers beyond what is immediately needed. Includes simplified and meaningful proofs. Features Exercises and Problems at the end of each chapter as well as Questions at the end of each section with answers at the end of each chapter. Presents analysis in a unified way as the mathematics based on inequalities, estimations, and approximations. For mathematicians.
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This new book is written in a conversational, accessible style, offering a great deal of examples. It gradually ascends in difficulty to help the student avoid sudden changes in difficulty. Discusses analysis from the start of the book, to avoid unnecessary discussion on real numbers beyond what is immediately needed. Includes simplified and meaningful proofs. Features Exercises and Problems at the end of each chapter as well as Questions at the end of each section with answers at the end of each chapter. Presents analysis in a unified way as the mathematics based on inequalities, estimations, and approximations.
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Most Helpful Customer Reviews
24 of 25 people found the following review helpful:
5.0 out of 5 stars
A great introduction to analysis,
By Steven R. Givant (Oakland, CA USA) - See all my reviews
This review is from: Introduction to Analysis (Paperback)
This is an unusual and beautifully written introduction to real analysis. The presentation is carefully crafted and extremely lucid, with wonderfully creative examples and proofs, and a generous sprinkle of subtle humor. The layout of the pages is exceptionally attractive. The author has clearly put a great deal of thought and effort into producing an analysis text of the highest quality.Most of the book concentrates on real-valued functions of a single (real) variable. There is a gradual and careful development of the ideas, with helpful explanations of elementary matters that are often skipped in other books. For instance, prior to the chapter on limits of sequences, the book has a chapter on estimation and approximation, discussing algebraic laws governing inequalities, giving examples of how to use these laws, and developing techniques for bounding sequences and for approximating numbers. Proofs involving "epsilons" and "arbitrarily large n" make their first appearance here. The overall presentation of the book is carefully thought out. Each chapter is broken up into small sections, and each section emphasizes one principle idea or theorem. The proofs of the main theorems are lovely, and give both intuitive explanations and rigorous details. Genuinely interesting examples and problems illuminate the key ideas. Each chapter contains a mix of problems: "questions" that help students test their grasp of the main points of each section, "exercises" that are intermediate in scope, and more difficult "problems". (A solutions manual is available for instructors from the publisher.) The careful explanations, even of "elementary" matters, and two appendices on sets, numbers, logic, and methods of argumentation, make the book suitable for a first analysis course in which students have had no prior exposure to proofs. There is ample material for a one-semester, or in some cases a one-year, course. In summary, I believe that this is the best introductory real analysis book on the market. Students and instructors alike will find it a joy to read.
11 of 11 people found the following review helpful:
5.0 out of 5 stars
An Excellent Bridge to Theoretical Math for Scientists,
This review is from: Introduction to Analysis (Paperback)
I had trained as a physicist in college, and found this book useful when I began my PhD work in mathematics, where the way of thinking was just different enough to trip me up. My real analysis and Lebesgue integration class used the formidable classic "Introductory Real Analysis" by Kolmogorov and Fomin, and this book was a useful adjunct as I worked through the material for the class.
The authors take a more explicitly numerical or equation-based approach to analysis than Kolmogorov and Fomin, who are more abstract and set-based. While this book does not go into topic Lebesgue integrals with anywhere near the depth of K&F, the appeal to numerical thinking is useful for helping someone in natural science get a handle on where the abstract math is going. When I read the authors' introduction, I was gratified to know that this book's approach stemmed from the travails that physics majors at MIT faced when they took real analysis! I found this book handy for the basics on the limits of sets and the Picard condition for ordinary differential equations. Its coverage of more advanced topics like Lebesgue integration is very light, but as an undergraduate text or as an adjunct for graduate students new to the field, it can be highly useful.
5 of 6 people found the following review helpful:
5.0 out of 5 stars
Great introduction to analysis,
By "giref" (quebec, Quebec Canada) - See all my reviews
This review is from: Introduction to Analysis (Paperback)
The book is slow to begin but it does a great job in explaining all the concepts. The author explains the proofs and theorems and it introduces some intermediate ideas to understand the theorems and definitions. The book contains a lot of exercise of different nature and difficulty. It covers a great range of subjects but not enough on the Rn. The book is basic in it contain, it is not difficult to read and follow. It can serve as an introduction to analysis. I would recommend it if you want an introduction to analysis.
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