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Copyright ©2013, 2021 Open Agenda Publishing. All rights reserved.
Edited with an introduction by Howard Burton.
The contents of this book are based upon a filmed conversation between Howard Burton and Ian Stewart in Coventry, England, on March 18, 2013.
Introduction
Counting Sheep
An engineer, a physicist and a mathematician are on a train that has just crossed into Scotland when outside of their window they see a black sheep standing in a field.
âHow odd,â says the engineer. âAll the sheep in Scotland are black.â
âNo, no!â counters the physicist indignantly. âYou canât just generalize like that. All we can say is that only some Scottish sheep are black.â
âYou idiots,â sighs the mathematician, exasperated. âAlways jumping to conclusions. The only thing we can say with any certainty is that there is at least one sheep in Scotland which is black on one side.â
This joke might surprise you for two reasons.
For starters, you may be shocked to discover that there is such a thing as âmathematical humourâ at all. Itâs not the sort of thing that most people are even aware of.
But more significantly, it might make you suspect that what mathematicians areâwhat they do, how they think and what motivates themâis very, very different from what any long buried tussles with long division might have naively led you to believe.
Of course, we frequently have a pretty superficial image of other professions. Policemen do more than chase bad guys, while doctors do more than dispense medicine. On the other hand, policemen do chase bad guys and doctors do dispense medicine. Mathematicians, on the other hand, typically spend no more time doing long division than the rest of us. And most arenât any better at itâor any more excited at the prospect of doing itâthan anyone else.
So what do they do all day?
According to Ian Stewart, Professor of Mathematics at the University of Warwick and a highly acclaimed writer of both popular math books and science fiction, real mathematics is far removed from arithmetic.
âItâs about form and structure and logical connections. If certain things happen, if a problem is set up in a particular way, it has certain ingredients. What does that tell you? How can you answer it? Itâs about problem solving, but itâs also about seeing the kind of elegant structure that opens up a better understanding of whatever it is youâre working on.â
If all that seems a little too abstract and highfalutin, jarring a bit too harshly with your own school day experiences, Professor Stewart will happily detail his mathematical motivations further.
âI like to work in areas, which, essentially, combine symmetry with the real world. Symmetries give you a built-in, beautiful, mathematical structure even before you start. Itâs got to be nice, because symmetries are always nice. And then I find some connection to the real world. Combining the two, thatâs where I feel happiest.â
Still too abstract?
Well, consider this. One of Stewartâs most significant achievements came from applying mathematical symmetry to animal movement. And it happened, as so often tends to be the case in the world of basic research, quite by accident.
At the time he was an expert on the mathematical symmetry principles of linked oscillators (think of springs or pendulums that are connected in some way). But then one day a popular science magazine asked him to review a book on how engineers take inspiration from nature, which serendipitously drove him in quite another direction entirelyâat least at first.
âThere were chapters on vision and robots, but it had a chapter with a whole series of papers on animal movement. One of the things they talked about was symmetric gaits, a gait being a pattern. And as soon as I saw âsymmetricâ I thought, âOh! Thatâs interesting!â
âI looked at the patterns and they were just like our oscillator systems. So in my review, I put in a throw-away sentence saying, âThese patterns look like things Iâve seen in coupled oscillators. I wonder if anyone would want to fund that sort of research?â I think I said, âCould anyone fund a robot cat?â
âAbout two days later I got a phone call from Jim Collins, whoâs a biomechanical engineer now at Boston. Jim was in Oxford at the time, and he phoned up and said, âI canât fund a robot cat but I know some people who can. Can I come and talk to you?â
âHe knew the biology, the physiology of animal movement, and I knew the mathematics of coupled oscillators. We talked to each other and we put together a series of papers explaining how we thought this connection went. And thatâs how it started.
âThe beautiful patterns you see when an animal movesâthink of a trotting horse, one diagonal pair of legs hits the ground and then the other diagonal pairâitâs absolutely perfect rhythm and itâs this beautifully symmetric movement. Thatâs one of the standard patterns you expect to see in a network of nerve cells, which is presumably what is controlling the movement.â
So now, suddenly, weâve gone from networks of coupled oscillators to neurophysiology.
And that sort of leap, that rapid interplay between mathematical structure and the world around us, happens all the time, every moment.
âMath is in everything we use, everything we do. If youâre aware of this, from the moment you get up in the morning you start to see it. I look at the clock: itâs one of these modern clocks that sets its own time by radio. Without radio, that clock would not work in that way. Well, radio works because of a whole pile of mathematics. The engineers have to know the math. We donât need to know it to read the clock, but in order to manufacture the clock somebody there has to know a certain amount about that. And thatâs just one example.
âItâs absolutely everywhere. I often feel t...