This is an introductory text on real analysis that will prepare the reader well for further reading. The discussion is at a very elementary level, but no less useful for all that. Mattuck's sense of humor glimmers throughout the text ('Theorems are there to save work. Adults cite theorems.'); he was my second-term lecturer in calculus at MIT, and the humor that was present in his quizzes is evident here. Highly recommended for someone who wants a gentler introduction to analysis than typically provided by books such as Rudin. I recommend also referring to Course 18.100A, Introduction to Analysis, on the MIT Open Courseware site, which uses this book.
Mattuck's book will not cover some topics that are found in a more traditional analysis book such as the implicit function theorem, continuity defined in terms of open sets, Lebesgue integration (touched on only briefly here), and Stokes's Theorem. Nonetheless, a very useful text and a bargain at the price.
Some reviewers have complained about the print quality, but I don't find that to be much of a problem.
I used this book for a Real Analysis class at MIT. This book is amazing. The author is a genius, his methodology is perfect for learning. It reminds me a bit of Gilbert Strang's way of thinking and exposing concepts - another absolute genius on teaching. It's a great book to study on your own, and if you prove the theorems yourself and work through the Questions without reading the solutions, you'll very likely learn all the most relevant concepts and be able to tackle something more complex like Rudin. It's all about understanding the concepts, which is far more important than banging your head with Rudin and not getting anywhere.
This was actually my first contact with writing actual math proofs after my undergraduate in engineering, and I think I couldn't have had a better introduction to this.
Yes, the printing quality is not the greatest, as other people have mentioned. I tend to be bothered by this kind of stuff but with this book it's really not that bad, I stopped noticing it after the first minutes. Highly recommended!!
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.
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.
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.