The varied gaits of a horse are consequences of the different ways in which the animal moves its feet. These characteristic movements—walk, amble, pace, trot, gallop, bound, canter—serve as visible expressions of different types and degrees of symmetry. They also represent one example of how symmetry-breaking in a simple dynamical system can lead to distinctive patterns and motions.
We see patterns all around us, Golubitsky began. All we have to do is look.
The mathematical notion of symmetry is a key to understanding how and why such patterns occur, Golubitsky argued. In many cases, changes in symmetry associated with a relatively simple mechanism can produce surprisingly complicated patterns of behavior. Examples include not only the gaits of animals but also patterns in geological formations, shifting flame fronts, convection cells, and even visual hallucinations.
Such patterns also arise in purely mathematical contexts—as visualizations of the behavior of iterative mathematical systems in which symmetry plays an important role. The resulting computer-generated images of symmetric chaos are both complex and familiar, where the chaotic dynamics produces the complexity and symmetry provides the familiarity.
Golubitsky highlighted these and other fascinating patterns and explained their key relationship to mathematical symmetry. He provided intriguing glimpses of and insights into the mathematical and scientific discipline of pattern formation, which underlies much of his collaborative work on symmetry, pattern, and motion.