Fractals, Chaos, and Complexity

 
 

This course will introduce students to the ideas of Fractals, Chaos, Complexity and Computation.  We will begin with the examples of objects, such as trees, river networks, coastlines, weather, earthquakes, the human body, the stock market, evolution, and others that display examples of fractal geometry.  We will then explore many of the fascinating ideas popularized by Mandelbrot and others about self-similarity across different geometric scales.  Chaos, how it arises in familiar everyday systems, and the link with fractal geometry, will be discussed.  We will talk about how processes of "self-organization" arise in systems with feedback, and the ways in which those processes lead to the emergence of coherent space-time structures for systems with no natural length or time scales.  We will discuss the idea of Cellular Automata and its relationship to computation.  We will examine how chaos and order are inextricably linked with a kind of strange duality.  Many of these ideas are having a profound effect in fields far from their point of origin.  As a result, we will explore the profound philosophical implications of these ideas, including their effects on modern art and architecture, and especially on the definition of life itself.

Syllabus

  1. 1.Geometry, self similarity, and patterns

  2. 2.Making fractals through recursive iteration

  3. 3.Measuring fractals - fractal dimension

  4. 4.Chaos, randomness, and noise - similarities and differences

  5. 5.Iterated maps - the logistic and tent maps - fixed points

  6. 6.Complex numbers and the Mandelbrot set

  7. 7.Edge of chaos, fractal boundaries, and fractal domains

  8. 8.Cellular automata and information processing

  9. 9.Applications to real systems

Description

Stats