MATH 1931: Mathematics (Special Studies Program)

1st semester 2019, Lecturer: Eduardo G. Altmann (Weeks 10-13)

Consultation time: Wednesday 11am-12pm (Weeks 10-13)

Webpages of the course at the School of Mathematics and Statistics .

Discussion and codes: www.edstem.org--

Abstract:

Chaos in dynamical systems

ABSTRACT: The goal of these four lectures is to learn how systems governed by known equations of motion, with no randomness, can still display an unpredictable temporal evolution. This seemingly contradictory phenomenon, known as deterministic chaos, was first discovered in Astronomy and Meteorology but is now known to appear in virtually all scientific disciplines. The complicated chaotic dynamics appears already in very simple (yet non-linear) equations, which we will study analytically and through simple computer simulations. Our excursion to understand chaos will lead us to some fundamental concepts in the mathematical theory of dynamical systems, such as attractors, bifurcations, invariant measure, Lyapunov exponents, and self-similarity.

References:

  • Simple mathematical models with very complicated dynamics, RM May Nature, 1976
  • Chaos: An introduction to Dynamical Systems, K. T. Alligood, T. Sauer, J. A. Yorke, Springer (2006)
  • Chaos: Making a new science, J Gleick, Open Road Media, 2011
  • Isaac Newton, J Gleick, Knopf Doubleday, 2007
  • PoincarĂ© and the Three Body Problem, J Barrow-Green, American Math. Soc. 1997
    Home