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IEET > Life > Vision > Contributors > Gregory Benford

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Beautiful, Unreasonable Mathematics


Gregory Benford
By Gregory Benford
Ethical Technology

Posted: Jan 17, 2013

I find most beautiful not a particular equation or explanation, but the astounding fact that we have beauty and precision in science at all. That exactness comes from using mathematics to measure, check and even predict events. The deepest question is, why does this splendor work?

Beauty is everywhere in science. Physics abounds in symmetries and lovely curves, like the parabola we see in the path of a thrown ball. Equations like e+ 1 =0 show that there is exquisite order in mathematics, too.

Why does such beauty exist? That, too, has a beautiful explanation. This may be the most beautiful fact in science.

In 1960, Eugene Wigner published a classic article on the philosophy of physics and mathematics, “The Unreasonable Effectiveness of Mathematics in the Natural Sciences.” Wigner asked, why does mathematics work so well in describing our world? He was unsure.

We use Hilbert spaces in quantum mechanics, differential geometry in general relativity, and in biology difference equations and complex statistics. The role mathematics plays in these theories is also varied. Math both helps with empirical predictions and gives us elegant, economical statements of theories. I can’t imagine how we could ever invent quantum mechanics or general relativity without it.

But why is this true? For beautiful reasons? I think so.

Darwin stated his theory of natural selection without mathematics at all, but it can explain why math works for us. It has always seemed to me that evolutionary mechanisms should select for living forms that respond to nature’s underlying simplicities. Of course, it is difficult to know in general just what simple patterns the universe has. In a sense they may be like Plato’s perfect forms, the geometric constructions such as the circle and polygons. Supposedly we see their abstract perfection with our mind’s eye, but the actual world only approximately realizes them. Thinking further in like fashion, we can sense simple, elegant ways to viewing dynamical systems. Here’s why that matters.

Imagine a primate ancestor who saw the flight of a stone, thrown after fleeing prey, as a complicated matter, hard to predict. It could try a hunting strategy using stones or even spears, but with limited success, because complicated curves are hard to understand. A cousin who saw in the stone’s flight a simple and graceful parabola would have a better chance of predicting where it would fall. The cousin would eat more often and presumably reproduce more as well. Neural wiring could reinforce this behavior by instilling a sense of genuine pleasure at the sight of an artful parabola.

There’s a further selection at work, too. To hit running prey, it’s no good to ponder the problem for long. Speed drove selection: that primate had to see the beauty fast. This drove cognitive capacities all the harder. Plus, the pleasure of a full belly.

We descend from that appreciative cousin. Baseball outfielders learn to sense a ball’s deviations from its parabolic descent, due to air friction and wind, because they are building on mental processing machinery finely tuned to the parabola problem. Other appreciations of natural geometric ordering could emerge from hunting maneuvers on flat plains, from the clever design of simple tools, and the like. We all share an appreciation for the beauty of simplicity, a sense emerging from our origins. Simplicity is evolution’s way of saying, this works.

Evolution has primed humans to think mathematicallybecause they struggled to make sense of their world for selective advantage. Those who didn’t aren’t in our genome.

Many things in nature, inanimate and living, show bilateral, radial, concentric and other mathematically based symmetries. Our rectangular houses, football fields and books spring from engineering constraints, their beauty arising from necessity. We appreciate the curve of a suspension bridge, intuitively sensing the urgencies of gravity and tension.

Our cultures show this. Radial symmetry appears in the mandala patterns of almost every society, from Gothic stoneworks to Chinese rugs. Maybe they echo the sun’s glare flattened into two dimensions. In all cultures, small flaws in strict symmetries express artful creativity. So do symmetry breaking particle theories.

Philosophers have three views of the issue: mathematics is objective and real; it arises from our preconceptions; or it is social.

Physicist Max Tegmark argues the first view, that math so well describes the physical world because reality really is completely mathematical. This radical Platonism says that reality is isomorphic to a mathematical structure. We’re just uncovering this bit by bit. I hold the second view: we evolved mathematics because it describes the world and promotes survival. I differ from Tegmark because I don’t think mathematics somehow generated reality; as Hawking says, what gives fire to the equations, and makes them construct reality?

Social determinists, the third view, think math emerges by consensus. This is true in that we’re social animals, but this view also seems to ignore biology, which brought about humans themselves through evolution. Biology generates society, after all.

But how general were our adaptations to our world?

R. Lemarchand and Jon Lomberg have argued in detail that symmetries and other aesthetic principles should be truly universal, because they arise from fundamental physical properties. Aliens orbiting distant stars will still spring from evolutionary forces that reward a deep, automatic understanding of the laws of mechanics. The universe itself began with a Big Bang that can be envisioned as a four-dimensional symmetric expansion; yet without some flaws, so-called anisotropies, in the symmetry of the Big Bang, galaxies and stars would never happen.

Strategies for the Search for Extra-Terrestrial Intelligence, SETI, have assumed this since their beginnings in the early 1960s. Many supposed that interesting properties such as the prime numbers, which do not appear in nature, would figure in schemes to send messages by radio. Primes come from thinking about our mathematical constructions of the world, not directly from that world. So they’re evidence for a high culture based on studying mathematics.

A case for the universality of mathematics is in turn an argument for the universality of aesthetic principles: evolution should shape all of us to the general contours of physical reality. The specifics will differ enormously, of course, as a glance at the odd creatures in our fossil record shows.

Einstein once remarked, “How can it be that mathematics, being after all a product of human thought which is independent of experience, is so admirably appropriate to the objects of reality?” But it isn’t independent—and that’s beautiful.


Gregory Benford is an astrophysicist and science fiction writer. He is a Professor of Physics at the University of California, Irvine. His fiction has won many awards, including a Nebula Award for his novel Timescape.
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COMMENTS


Thank you. I really appreciate this text.

I’m thinking through this very topic, and I’m curious what your response would be. You don’t take into account the very human ability to abstract, to throw away details that refute the theory, in order to concentrate on the details that reinforce it. (Think of false memories for an example of to the extreme degree we can replace reality with theory.) This is not something we do consciously, but I would ague is inherent in how our minds/brains work.

When it comes to measurement, we must actively choose something to measure. In short, we must have a theory in place a priori that expects a degree of importance of that parameter. Because its a priori, it already exists in our minds, is already situated in a social and cultural context of ideas and values. We can’t measure everything at the same time. Of course these theories can be correct, but more than one theory can explain the same measurements, and may even be incompatible: Perhaps for example particle-wave duality.

How can we know that the regularities we see are not due to a particular interaction of scale, perspective and existing theory? Take any example of symmetry, does that symmetry hold in all contexts? If we zoom in close enough (with a microscope) is it still symmetrical? You say the world does not perfectly manifest the math, but “approximately realizes them”, this approximation sounds like the kind of abstraction I began with. To reinforce the theory, we emphasize those measurements at particular scales through particular points of view that indicate symmetry and ignore the scales and points of view that refute symmetry.

Our cognitive and perceptual abilities are directly tuned to this ability to see a pattern despite the refuting evidence, which we just call “noise”.

The difficulty in determining whether it was us or math that came first is that we have all learned a set of concepts and theories as we are brought up. Our very acquisition of language involves the refinement of arbitrary categories of things out in the world, binary distinctions between dogs and cats that are not hard, but soft gradients. Anything you say about a dog, can be said about a cat (to some degree, at some scale, from some perspective). Any single line that separates their properties, will likely fall apart under closer inspection. I would argue this is because the world is dense and continuous, no matter how deep we get we will continue to find more density and continuity.

I’m not saying math is not real, I think it is real the same sense as Dennet’s weak realism. I am saying that the reality represented in math is a function of both our human biases, expectations and desires, and the real physical processes that occur in the material world. I don’t think these two parts are so easily separated. Math can be both real and socially constructed at the same time.





@b.: I think you’re right. Something vaguely analogous would be how culture and language can shape human perception of color, separating it into some categories and not others. Despite the fact that the EM spectrum is continuous and exists independently of humans, the nature of human physiology shapes what is being perceived; despite the fact that the logical possibility space described by mathematics exists independently of humans, the way humans construct theories shapes what is being perceived.





It’s also interesting to consider the idea that the only things we can be aware of are those things that our consciousness organizes in a certain way. Maybe all we can be aware of is a mental construct that is being actively made compatible with our human facility of awareness.

For instance, what if all our mind could ever perceive were things that were displayed on a mosaic tiling of a certain kind. Mathematics would then be the study of all possible patterns that could appear within that mosaic system and science would be the study of how frequently different patterns appear and, possibly, how they relate to one another when they do appear.

Maybe we really are converging on a perfected knowledge of all the patterns we can and do perceive and that has great utility for us as individuals and a society. The Universe does not have to be a Platonic reality just because all that we can perceive is conditioned by a mathematical-like framework that limits what our minds are capable of perceiving.

I find this perspective somewhat compatible with all three views you shared above.





Humans can learn to predict where a moving stone will go, and since
this was useful during prehistory for hunting, it is plausible that
this faculty was selected for.  But I doubt that it depends on
mathematical appreciation of something as specific as a parabola—
especially since doing a really good job of this prediction involves
taking account of effects that make the trajectory vary from a
parabola, such as air resistance, wind, and rotation.  What equation
defines the motion of a thrown baseball?  I don’t think ballplayers
need to know it.  What they do depend on is reproducibility of the
motion.

Tarsiers hunt by jumping from one tree branch to another very
accurately.  Perhaps they use the same mental faculty.





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