Skip to main content

Fermat’s Last Theorem [Fermat's Enigma] – Simon Singh *****

Just as the US publishers of Harry Potter and the Philosopher’s Stone reckoned the US public couldn’t cope with the word ‘philosopher’ and changed the title, this is calledFermat’s Enigma in the US (it could also be because of another book of the same name by Amir Aczel). But crazy assumptions from publishers apart, it’s the superb story of a bizarre little problem that no one could solve until the ever-wily mathematician Fermat scribbled in a margin that he had a wonderful solution, only there wasn’t room to write it down.
Fermat may well have been boasting, but it threw down a gauntlet to hundreds of mathematicians who were to follow until it was finally achieved in the 20th century. Don’t worry if the maths doesn’t interest you – the story will, both in its historical context and in the insight into the work and nature of modern mathematicians.
In some ways the star of the book is Andrew Wiles, the British Mathematician who pretty well single-handedly cracked the problem with an unusual level of secrecy, rather than the typical sharing approach of the profession. But equally it’s Fermat himself.
Whether or not Fermat actually had a solution is a moot point – but he certainly didn’t have Wiles’ complex approach. In fact it seems so difficult to come up with a straightforward solution to this problem that Fermat has to be more than a little doubted.
Like all the best popular science books – and this certainly is one of the best – it brings in a whole range of extras historically and mathematically to add to the fascinating cast. What can I say? Buy it!

Paperback:  
Using these links earns us commission at no cost to you 
Review by Brian Clegg
Community Review – Katy
I am 12 years old and I love maths. This book was amazing! It is the best book I have ever ever read. I really enjoyed all of it. I especially liked the bits with examples in because it helped me to understand more because I am doing my GCSE in maths in 4 months. It was fascinating to learn about the theorem and the story behind it. It tells you about lots of different people who have attempted to prove the theorem. It also talks about lots of different areas of mathematics associated with the theorem that do not even sound remotely similar. It is amazing to think that such a simple theorem has taken so long to solve – 358 years in fact. This book has been so inspirational to me. It has made my passion for mathematics stronger. I would strongly recommend it to anyone. You will not be able to put it down!!!!!!!!
Additional Review – Stephen Goldberg – ****
Fermat’s last theorem was that a certain equation, under certain circumstances, had no possible solution. This theorem was finally proven in 1995 by mathematician Andrew Wiles. What made Fermat’s last theorem so intriguing to mathematicians was that Pierre de Fermat, in 1637, claimed to have proven it but left behind no written proof. Since that time and until 1995, mathematicians around the world have been trying to prove this theorem. It is not even known if Fermat himself actually proved it. The object of this book was to explain how this puzzle was finally solved. But the book is not just about Andrew Wiles. Author Simon Singh takes the reader through a fascinating tour of the history of mathematics before delivering the solution to us.
On his way to proving Fermat’s theorem, Wiles used a variety of techniques developed by earlier mathematicians. When Singh takes us though Wiles work and the use of earlier mathematical tools, he takes extensive detours to give significant biographical information on these earlier mathematicians. In this, Singh did a most admirable job. The book starts with Wiles’ presentation of his proof in 1993, but quickly detours to discuss the Greek mathematicians Pythagoras and Euclid. As Singh leads us through mathematical history he also pays significant attention to notable mathematicians Leonhard Euler (1707-1783), David Hilbert (1862-1943), and Alan Turing (1912-1954), among others. Particularly interesting was the chapter “A mathematical disgrace” where Singh discusses the difficulties faced by women mathematicians, most notably Sophie Germaine (1776-1831) and Emmy Nother (1882-1935). Also interesting was how Wiles worked in almost complete seclusion for a number of years. After Wiles presented his proof in 1993, errors were found, and he struggled for another two years before finally completing his work.
Where the book fails is in trying to actually explain number theory. There is a lot of math in this book, some of it relegated to appendices at the end. Very difficult to understand were E-series and M-series. Singh also failed to adequately explain mathematical techniques such as the method of Kolyvagin and Flach or the Taniyama–Shimura conjecture. If the objective of the book was to actually explain the proof of Fermat’s theorem then it fails as I understood it no better after having read the book than before. Where the book succeeds is in explaining how mathematicians build on other mathematician’s work and how a proof in mathematics, based on logical reasoning, is conceptually different than proof in other sciences that are based on experimentation and observation. The writing style was very accessible and easy to understand (aside from the math) and the biographies he writes are fascinating. Overall, this book was well worth reading for anyone interested in the history of science or mathematics.

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on