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Counterexamples in Analysis
 
 

Counterexamples in Analysis [Paperback]

Bernard R. Gelbaum , John M. H. Olmsted
4.8 out of 5 stars  See all reviews (5 customer reviews)
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These counterexamples deal mostly with the part of analysis known as "real variables." The 1st half of the book discusses the real number system, functions and limits, differentiation, Riemann integration, sequences, infinite series, more. The 2nd half examines functions of 2 variables, plane sets, area, metric and topological spaces, and function spaces. 1962 edition. Includes 12 figures.

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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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4.8 out of 5 stars (5 customer reviews)
 
 
 
 
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3 of 3 people found the following review helpful
5.0 out of 5 stars A Bestiary of Analysis Monsters, Dec 8 2003
By A Customer
This review is from: Counterexamples in Analysis (Paperback)
For 200 years after it was invented by Isaac Newton, calculus lacked a rigorous foundation. In the 1800's the missing rigor was finally provided by the ingenious theory of limits, developed by Bolzano, Cauchy, Weierstrass, and others. This development, in turn, revealed the need to formulate and understand the structure of the real numbers. This structure was provided by Cantor, Dedekind, and Peano, who showed how the real numbers can be constructed from set theory.

But it was a Faustian bargain, because immediately a host of bizarre and counterintuitive examples were discovered - continuous functions that were nowhere differentiable, nonmeasurable sets, one-to-one pairing of points between the line and the plane. These peculiar entities were deeply disturbing to many.

Poincare said "Logic sometimes makes monsters. For half a century we have seen a mass of bizarre functions which appear to be forced to resemble as little as possible honest functions which serve some purpose... In former times when one invented a new function it was for a practical purpose; today one invents them purposely to show up defects in the reasoning of our fathers and one will deduce from them only that."

These counterexamples displayed features that were nowhere to be found in the physical universe. When Richard Feynman was a physics graduate student at Princeton, he would tease his mathematician friends that mathematics was so easy that he could instantly decide the truth or falsehood of any mathematical statement they could give him. One day they challenged him with the grand-daddy of all the paradoxes, the Banach-Tarski paradox: That the unit ball in R3 could be divided into a finite number of pieces, and the pieces could, by rigid translation and rotation, be reassembled into two unit balls. But they made a mistake: instead of saying "unit ball in R3", they said "apple". Feynman quickly pointed out that the nonmeasurable pieces, that they had so rigorously defined, must split apart even every electron of the apple.

When I was a graduate student in mathematics, "Counterexamples in Analysis" was my favorite book, and I had a lot of fun amazing my fellow graduate students by quoting from it. Since then, however, I have swung around more to the viewpoint of Poincare and Feynman: "Logic sometimes makes monsters." From either viewpoint, however, the counterexamples are immensely entertaining.

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2 of 2 people found the following review helpful
5.0 out of 5 stars Great for the coffee table, July 22 2003
By 
James Arvo (Pasadena, CA USA) - See all my reviews
(REAL NAME)   
This review is from: Counterexamples in Analysis (Paperback)
It can happen to anybody. There you are, minding your own business, when the though hits you: Does every continuous function have a derivative somewhere? You try to prove that it must. It sure seems like it must. How could it not? Hours slip by, and you've made no progress. What do you do? You pick up Gelbaum and Olmsted's classic "Counterexamples in Analysis". There on page 38 is an example of a continuous function that has no derivative; none; anywhere. No wonder you couldn't prove it.

It turns out that questions of the form "Does A always imply B?" entail proofs with two very different flavors, depending on whether the answer is affirmative or negative. The affirmative variety can be very difficult, as it usually deals with an infinity of things. But a negative answer requires only one solitary example of an A that is not a B; this is affectionately known as a "counter-example". These are the slickest little proofs around--often a one liner--and they can provide a lot of insight. Here's a trickier one: Are all linear functions continuous? Surprisingly, the answer is "no", which means there is a counter-example. Gelbaum and Olmsted show how to construct a discontinuous linear function. Case closed. They also provide examples of

A perfect nowhere dense set

A linear function space that is a lattice but not an algebra

A connected compact set that is not an arc

A divergent series whose general term approaches zero

A nonuniform limit of bounded functions that is not bounded

I won't give away any more (although there are hundreds). The book has chapters on real numbers, functions and limits, differentiation, sequences, infinite series, set and measure on the real axis, functions of two variables, metric and topological spaces, and more. Each section begins with a brief summary of the basic concepts and definitions, then launches into a list of terse counter-examples. This is simply indispensable for students of mathematical analysis, as it can help to explain why you cannot weaken those seemingly stringent hypotheses to various theorems; if you do, one of these quirky counter-examples will rush in and ruin your day. This is a great book to have on hand. I highly recommend it. (I won't tell you how it ends.)

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1 of 1 people found the following review helpful
5.0 out of 5 stars Very Good To Have On Your Shelf, Jun 17 2004
By 
ktrmes "ktrmes" (New York, New York USA) - See all my reviews
This review is from: Counterexamples in Analysis (Paperback)
The counterexamples here are a wonderful aid to educating intuition about definitions in Real Variables. It may sound strange, but I always thought of this book as entertaining reading: If you glance at the table of contents, you'll may find youself saying, "wait, no, that can't -- well, I guess so, but what does that look like?" In later conversations you may find youself saying: "wait a second, I seem to recall seeing somewhere a continuous nowhere differentiable function," or someting of the sort. Unfortunately, there are not a whole lot of these creatures in the book, but they are worth spending some (enjoyable) time with.
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