Science Bytes

Writing on the Science Bytes pages is copyrighted. It is for you to read, not take. You may not publish or distribute it electronically or in hard copy without written permission from Explorit or other cited copyright owner. The material is here for your entertainment or edification - you may of course pass the URL to whom ever you wish.


CHAOS THEORY

by Jennifer LeBlanc (1996)

Chaos is a misnomer. Chaos theory cannot explain the mess on your desk. Dr. Alan Hastings, head of the environmental studies division at the University of California at Davis defines it as "the complex dynamics found in simple patterns." Chaos theory is a relatively new, nonlinear way of looking at problems that have plagued scientists for centuries: population changes, turbulence, irregular heartbeats and other apparently disordered systems.

Chaos theory was developed mostly by mathematicians and physicists but also received help from research problems in ecology, economics, physiology and epidemiology. It has been a bridge for scientific communication between these apparently unrelated fields. For example, Dr. Hastings and his doctoral student, Kevin Higgins, used the mathematics of chaos theory to understand Dungeness crab population changes. They used a simplified computer model to study patterns of population change over 10 000 years.

Contrary to their expectations, the population did not settle on any equilibrium value. This means yearly variations in Dungeness crabs may be due to chaotic forces within the population, rather than previously suspected external forces, such as environmental changes. This result also shows variability is the norm in some populations, not the exception.

Chaotic systems all share one characteristic - they are extremely sensitive to initial conditions and therefore, the final results are unpredictable. Edward Lorenz, a meteorologist working at MIT in the 1960s was one of the first to recognize this characteristic while playing with a simplified weather computer model. He designed this toy weather' model hoping to find recognizable patterns that would eventually lead to long-term weather forecasting.

One day, wanting to review some intermediate results but not wanting to start all over, he stopped the program, input the intermediate numbers from the printout, and restarted it. Soon the computer showed radically different weather than it had previously. Lorenz knew the only difference had been that the printout produced numbers with three decimal places whereas the program normally calculated with six decimal place precision.

Newtonian physical laws would predict that such small differences would produce only small final variations. However, Newtonian laws apply to linear systems. From his unusual results, Lorenz hypothesized that weather was a nonlinear, chaotic system. Through further work, he confirmed this hypothesis and found that, in chaotic systems, tiny initial differences become magnified over time to produce dramatically different final results.

Lorenz once explained his work on chaotic systems in terms of the effect of a butterfly flapping its wings in Brazil. The butterfly could alter local wind patterns and as these changes became magnified over time and space, they could play a role in the formation of a tornado in Texas. This explanation led to the popular term, the "Butterfly Effect," to describe the behavior of chaotic systems. Such conclusions forced Lorenz to abandon his dream of long-term weather forecasting and his results remain true today - weather predictions are rarely good for much longer than a week.

Chaos theory has been described in bold terms. Chaos proponents talk of revolution, conversion', a paradigm shift. Evangelical statements are rife. It is not a field lacking in passion or ego.

Others researchers have predicted the death of chaos. Chaos theoreticians predicted itwould become the elusive Theory of Everything and because it hasn't, some have pronounced the entire science dead. Dr. Hastings emphatically says, "No." Chaos theory remains as a useful model to ecologists and other scientists. Their study, using chaos as a model, showed the unpredictable nature of population changes and will have an impact on resource management in the future. Other scientists are looking to chaos theory to explain turbulence, the nemesis of physicists and engineers.

Chaos theory has also given us fractal geometry, the visual representation of chaos theory. Fractals give the world a language and an explanation for the exquisite forms found in Nature. Chaos theory and fractal geometry have squarely turned mathematics around to face the problems and the beauty of the real world.

Sources and Contacts Used

  1. Gleick, James, "Chaos," in The World Treasury of Physics, Astronomy and Mathematics, ed.

  2. Timothy Ferris (Boston: Little, Brown and Company, 1991).

  3. Gleick, James. Chaos: Making a New Science. New York: Viking, 1987.

  4. Hastings, Alan. Interview by author. Davis, CA, 6 October 1995.

  5. Hazen, Robert M. and James Trefil, Science Matters: Achieving Scientific Literacy (New York: Doubleday, 1991), 18-19.

  6. Mandelbrot, Benoit B., "How Long is the Coast of Britain?" in The World Treasury of Physics,

  7. Astronomy and Mathematics, ed. Timothy Ferris (Boston: Little, Brown and Company, 1991).

  8. McGuire, Michael. An Eye for Fractals. Redwood City: Addison-Wesley, 1991.

  9. Morton, Carol Cruzan, "Beyond Chaos: Ecological Systems Show Further Uncertainty," UCDavis News, Thursday, 24 February 1994. (University of California at Davis News Service Office, Mrak Hall, Davis, CA, 95616)

  10. Morton, Carol Cruzan. Interview by author. Davis, CA, 5 October 1995.

  11. Trefil, James, "Chaos," in 1001 Things Everyone should know about Science (New York: Doubleday, 1992), 183-185.

  12. Yoon, Carol Kaesuk, "Boom and Bust May Be the Norm in Nature," New York Times, Tuesday, 15 March 1994, sec 2, p.7.

[Home]
Send feedback to
Explorit Science Center
P.O. Box 1288, Davis, CA 95617, USA
Phone: (530)756-0191     Fax: (530)756-1227