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This question is basically from Ravi Vakil's web page, but modified for Math Overflow.

How do I write mathematics well? Learning by example is more helpful than being told what to do, so let's try to name as many examples of "great writing" as possible. Asking for "the best article you've read" isn't reasonable or helpful. Instead, ask yourself the question "what is a great article?", and implicitly, "what makes it great?"

If you think of a piece of mathematical writing you think is "great", check if it's already on the list. If it is, vote it up. If not, add it, with an explanation of why you think it's great. This question is "Community Wiki", which means that the question (and all answers) generate no reputation for the person who posted it. It also means that once you have 100 reputation, you can edit the posts (e.g. add a blurb that doesn't fit in a comment about why a piece of writing is great). Remember that each answer should be about a single piece of "great writing", and please restrict yourself to posting one answer per day.

I refuse to give criteria for greatness; that's your job. But please don't propose writing that has a major flaw unless it is outweighed by some other truly outstanding qualities. In particular, "great writing" is not the same as "proof of a great theorem". You are not allowed to recommend anything by yourself, because you're such a great writer that it just wouldn't be fair.

Not acceptable reasons:

  • This paper is really very good.
  • This book is the only book covering this material in a reasonable way.
  • This is the best article on this subject.

Acceptable reasons:

  • This paper changed my life.
  • This book inspired me to become a topologist. (Ideally in this case it should be a book in topology, not in real analysis...)
  • Anyone in my field who hasn't read this paper has led an impoverished existence.
  • I wish someone had told me about this paper when I was younger.
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A useful feature of Math Overflow on a post like this one is the ability to sort answers chronologically as well as by number of votes. Just click the "newest" tab above the answers to see the most recent additions. –  Anton Geraschenko Oct 19 '09 at 6:39

75 Answers 75

I think Sipser's Introduction to the Theory of Computation deserves a mention. It is incredibly clear, full of valuable examples, and an absolute classic. I can't think of a better book for a mathematician who's interested in theoretical computer science. It also seems to serve computer scientists without a great deal of mathematical background by providing an introduction to proofs at the beginning. My favorite part: all theorems come with "Proof Idea" first and then proof after that. This helps the computer scientists who are not that familiar with proofs, but it's also great for a mathematician to get the main idea of the proof, fill in the blanks themselves, and then move on to the next result.

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Algebraic Functions and Projective Curves by David M. Goldschmidt; October 2000

Beautiful proofs; Chapter 6 (Zeta Functions), 6.3 Riemann Hypothesis, nice mathematics.

Anyone in David's field who has not at least sampled this book is leading an impoverished existence.


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I loved reading Zelevinsky's 'Representations of finite classical groups'. It gave a totally different perspective to everything that I knew before about representation theory.

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I an algebraic geometer, so the book I'm going to propose is about as far from my subject as it can be. Still I think that Steele's book on stochastic calculus is one of the best written mathematical books I know. It really makes you enjoy probability, starting from the simplest examples of random walks and building a lot of theory, like martingales, Brownian motion and Ito's integral. I almost wanted to change my subject when I was reading it! :-)

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Mathematical logic has at least a couple of great writers. The canonical example is Bruno Poizat, especially the French originals; I would put Hodges in the same league. Both are emphatically not concise writers (at least in their most famous books). Their use of the full capabilities of language is very didactic, and often poetic. I greatly admire them both.

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I'll mention WL Burke's "Applied Differential Geometry." It's written for physicists, it will not be to the liking of the majority of mathematicians, but it changed this engineer's view of geometric methods forever.

The book changed the direction of my research because it presented a point of view that is not readily accessible if you follow the control and optimization literature. Becoming familiar with the differential geometry literature is an investment that a controls person is unlikely to make without a general idea of where the complete set of tools leads to. In this sense, the mathematics literature can present an obstacle. Burke's exposition is intuitive, though quite informal, and led me to read Spivak, Milnor, and other books, some mentioned here, which I would not have read if I had started with the math literature.

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Harder's Algebraic Geometry 1 is a beautiful example of explaining why an abstract subject makes sense. The book has a conversational style without wasting words, and focuses on providing intuition for the subject.

When I get disheartened, this is the book I turn to for inspiration.

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For anyone studying Stable Homotopy Theory, a fantastic text is Doug Ravenel's "green book" (although the second edition is red) Complex Cobordism and Stable Homotopy Theory

Not only is this book full of useful results for those in the field (making it an incredible reference for those starting out), it is also written in a very clear style and it's completely self-contained. I cannot think of a better book on how to do computation in homotopy theory. This definitely fits under "I wish someone had told me about this when I was younger" and "anyone in my field who hasn't read this is leading an impoverished existence"

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Steven Strogatz's "Nonlinear Dynamics and Chaos" book is written in a manner that almost allows one to kick back in a recliner and enjoy. The style is one that draws one into the material on nonlinear ODEs... probably the best undergrad text book that I used.

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'Galois Cohomology' by Larry Washington in Cornell-Silverman-Stevens is my one stop reference for the eponymous topic. In about twenty pages (and with minimal prerequisites), he introduces Galois cohomology groups, explains Tate Local Duality Theorem and Euler Charateristic, shows the connection between extensions, deformation and cohomology groups, introduces generalized Selmer groups and proves a result that appears in Wiles' proof. Along the way, he also fully explains the Poitou-Tate nine-term exact sequence! Terrific stuff.

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Harris and fulton Representation theory is a nice book. Linear algebraic groups of Jim Humphreys is also very good one. On Riemann Surface the book of Forster's is really very good one.

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I believe that the papers on $A_\infty$-structures by Bernhard Keller are extremely well written: they provide the reader with an overview of the state of the art of research in the topic(s), applications and even understandable proofs. I suggest in particular

A-infinity algebras, modules and functor categories

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I wish someone had told me about this paper when I was younger.

I have had this feeling a few times. For example: Gillman & Jerison, Rings of Continuous Functions.

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Hugo Steinhaus http://en.wikipedia.org/wiki/Hugo_Steinhaus book "Mathematical Kaleidoscope"

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I wish someone had told me about this book when I was younger: A.I. Mal'cev, Algorithms and Recursive Functions.

The exposition is simple, thought provoking and rigorous. You are teased to delve into many strains when reading it.

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