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How to Read and Do Proofs: An Introduction to Mathematical Thought Processes, by Daniel Solow
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This book categorizes, identifies and explains the various techniques that are used repeatedly in all proofs and explains how to read proofs that arise in mathematical literature by understanding which techniques are used and how they are applied.
- Sales Rank: #402429 in Books
- Published on: 2001-07-06
- Original language: English
- Number of items: 1
- Dimensions: 3.17" h x 1.41" w x 4.55" l, .0 pounds
- Binding: Paperback
- 224 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
Five Stars
By Amazon Customer
Excellent book!
26 of 28 people found the following review helpful.
Basic proof techniques
By UNPINGCO
This book is the "magic decoder ring" for terse proofs. This book should be passed out to every undergraduate taking the first mathematical analysis course. Numerous examples and exercises are included. The typesetting and notation are very readable. The great strength of this book is that the proofs used for exercises are restricted to the level of algebra and set theory. This makes it easy to concentrate on the technique of proof rather than the specific results. Also check out Polya's book "How to Prove It" and Velleman's book of the same name.
16 of 16 people found the following review helpful.
Like it says for Engineers...
By Juan Gustavo Sanchez
I'm an Electronic and Computer Systems Engineer, but in my spare time I like to do Mathematics, specially Real & Functional Analysis, I didn't go to any formal courses, but thanx to this book I had the possibility to learn these abstract subjects, now the part that I like most is to analyze proofs in any other subject of Mathematics dissecting their steps using what is taught in this book. I have, I thing, all the other books that talk about proofs, but for me this is the best.
P.S.:
This book works for Mathematicians too.
Recomendation:
Now you can have a Real Analysis Book that use the Dr. Solow Method of analyzing proofs, its name is: Introduction to Real Analysis by Michael J. Schramm
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