Introduction to Real Analysis (Dover Books on Mathematics)

Let us start by saying that Real Variables is not going to be an easy topic. (Like saying that Schramm's book is a very bad book, but all of the others are so much worse, to paraphrase Churchill.). If you grabbed a bunch of books on Real variables and read them side by side. like I did, this would be the one that you will finish reading first as you lay the others aside for later reading. One reason is the learning curve which is not particularly steep, but it is monotonic, closed, and bounded. Unlike other Real Variable texts, this one is about Proof Building. Part One lays the foundation with Proof Building Methodology. Part Two is ostensibly about the Real Number System, the centerpiece of which is "The Big Theorem", a set of nine theorms which mutually prove each other. Though Schramm does not give all 45 proofs, he does give a set of nine Theorems, a Theorem Chain from which a path can be traced from one proof to another. For example, The Connectedness Property implies The Least Upper Bound Property which implies the Nested Intervals Peoperty which implies The Bolszano-Weirstrauss Theorem which implies that Cauchy Sequences converge. The path back from Cauchy Sequenses converging to The Connectedness Property is different and as follows: Cauchy Sequences converging implies The Bolzano-Weirstrauss Theorem which implies The Least Upper Bound Property which implies The Connectedness Property. (Are you with me so far?) As Schramm does this, he does two very important things: 1) He gives Proof Building Strategies, inventorying the tools you haveto work with for each proof; 2) he uses The Forward and Back Method, which is basically stating the facts you have in the beginning, leaving the middle for later, and stating how the proof should end. Then he procedes to flesh out the middle such stat A implies B implies C (C implies D will be the next stem, left for later) . . . (W implies X is left for later), X implies Y implies Z. Eventually, he completes the proof chain. Part Three ties everything to Calculus. It answers questions as to why properties like Compactness matter. Once you get here, you are never totally lost. This is because the material is parallelly, not sequentially, learnable material. Nevertheless, learning your epsilonics from the previous two sections is a big advantage here. The book ends with Part Four, a small colection of special topics. In all, this is more a book about learning and writing Proofs in Real Variables than anything else. It should not be your only book on Real Variables, but it should be your first. By all means you should read the other scribes to get depth in the subject. Know also that this book has width, not depth. It will introduce you to topics, but it won't make you expert at them, which is why you need the other texts for later.

The prerequisites for analysis at the university I attended were multivariable calculus (Marsden), linear algebra (FIS), and an introduction to proofs (Cupillari). I believe my lowest grade in those courses (on any test or homework) was 90. To say that I was confident going into my analysis course would be an understatement. Rudin greeted me with a delicious slice of humble pie and I think I got a 60 on my first homework assignment. Unlike the prior courses where I was able to gain mastery through repetition, I was stumped by Rudin because the concepts were unfamiliar and there weren't enough easy problems to work on. The remedy is, of course, to attend office hours regularly and collaborate with your classmates. Because of my schedule, neither was possible. I stumbled upon Schramm's book and ultimately earned an A- (and have since then come to enjoy Rudin). Schramm's book gave me the hand holding I needed at that time - he moves very slowly through sup, inf, open/closed sets and cluster points. Additionally, he discusses the "forward-backward" technique of writing proofs found in Solow's book - which I used as well. My initial approach was to write a proof in a linear fashion. From Schramm (and Solow) I discovered that writing a proof is like putting a puzzle together; you can start anyway/anywhere to make progress as the picture becomes clear to you, so long as the end result is the correct picture (and then once you've got it, you should clean it up to make it presentable). I would recommend this book to anyone struggling with Rudin. Will it help you? As Oscar Wilde so eloquently stated in the preface of The Picture of Dorian Gray, "It is the spectator, and not life, that art really mirrors". Schramm's explanations, detailed proofs, and exercises made things clear for *me*. It may/may not for you, but given the price of the dover edition I'd say it's a good risk. *As an aside: I emailed professor Schramm some time ago and he not only responded, but was gracious, humble and very humorous.

Why do real analysis books teach the nested intervals theorem? Why do they teach Cauchy sequences, and compact sets? Why bother teaching Archimedes Axiom? Wouldn't just teaching the Completeness Axiom suffice? I recommend Schramm's book because it makes clear that the above topics distinguish the real numbers from the rationals, AND the book shows how the topics are equivalent. Schramm's book gives those "ah ha" moments on a large level. Another strength of this book is that he demonstrates how to work through and write proofs. The author uses Daniel Solow's How to Read and Do Proofs: An Introduction to Mathematical Thought Processes "forward-backward" method. For learning how to do proofs, I also recommend Daniel Velleman's How to Prove It: A Structured Approach . One is advised to have a teacher handy for hints and help in working through this book ( I try to keep a spare teacher in my upper desk drawer -- just kidding). The questions that the exercises pose are germane despite the book not having a solutions section. Well rated and well written. On the introductory level I recommend Steven Lay Analysis with an Introduction to Proof (5th Edition) as well as Bartel The Elements of Real Analysis, Second Edition . But there are many other good texts. And any review must pay homage to Rudin Principles of Mathematical Analysis (International Series in Pure and Applied Mathematics) . Hope this helps.

a little vague

This book is can be easily used as a reference for a course in real-analysis, or as a self-teaching book for the enthusiast. I did like the presentation, and the examples are very clear. The author takes you step by step, and I didn't need any external source (wikipedia etc) for more information / a different way of explaining the subject, which is good. Please note that this book is dense - it's not an easy stroll through the park. There is a lot of material to digest, but if you like it / need it, then this book is OK. Also book assumes you at least review the problem sets, since some of the material is taught by solving problems and not in the regular chapters.

First, I bought used, and the book was in good condition and would have been even better if someone had taken a second to peel of the "used" tags. The exposition of the matrrial is excellent. No, there is no appendix with answers to exercises, but this is minor compated to the incredibly systematic approach to the subject, managing the uncertainties of a student to the material and how it fits into the big picture.

A very well put-together and easy to read title. It won't make you an expert in analysis, but I found it to be a nice bridge between the more procedural, practical style of mathematics one learns in an undergraduate science/engineering curriculum (in my case electrical engineering) and the more abstract math you start to encounter in graduate level courses (or upper level undergraduate core math classes I'd imagine). Since this is exactly what the book claims to be, I say well done.

The book is very well organized. It is especially useful since it points out clearlly what is important to remember and consider. My suggestion is that any student using this text do all the exercises thoroughly. They reinforce the concepts and are used to introduce other concepts not specifically discussed in the text. But those exercises later become important with future concepts.

Livro muito bom. Leitura de fácil entendimento. Tem exemplos que s8exclatecedores da teoria. Tem uma boa quantidade de exercícios propostos.

Fabulous, in depth analysis given right from the scratch. Exposition of the theory is worth appreciation. Exercises are enjoyable and constitutes an integral part of the theory. You will not regret purchasing this masterpiece. Those who want to start studying real analysis , may go for it, thoroughly enjoyable.