Nonlinear dynamics and chaos

Course web page

(Fall 2009)

Teaching assistant: TBA

Day and time of course: Tuesday 14:00-16:00;

Day and time of weekly tutorial/ exercise session: (tentative, final time to be decided in coordination with attending students) Thursday at 16:00-17:00;

Location: TBA.

First meeting: November 10.

Teaching notes Textbooks Syllabus Requirements

Announcements
Feel free to write or call the instructors with any questions:

Teaching notes online:
first lecture, intro1, intro2, bif1d1, bif1d2, bif2d1, bif2d2, bif2d3, cntr-mnfld, chaos1, chaos2, chaos3, chaos4, fract, Ham1, Ham2,

Sample Matlab programs: bakers_map.m, circle_map.m, cobweb.m, euler_course.m, feigenbaum.m, henon.m, global_bif_cycle_saddle.m, logistic_map.m, lorenz.m, lorenz2.m, my_quiver.m, pendulum.m, pendulum_self_sustained.m, shilnikov.m, standard_map.m, standard_map_color.m, standard_map_interactive.m, van_der_pol.m,

Homework: will be posted semi-weekly to course web page.

Homework solutions: will be posted to course web page.

What's the point of optional/ extra credit problems appearing in HW: apart from the fun of doing them, they will count instead of homework problems in which you may have missed an answer. . .

Textbooks:

Additional reading:

Outline

The course will introduce the students to the basic concepts of nonlinear physics, dynamical system theory, and chaos. These concepts will be demonstrated using simple fundamental model systems based on ordinary differential equations and some discrete maps. Additional examples will be given from physics, engineering, biology and major earth systems. The aim of this course is to provide the students with analytical methods, concrete approaches and examples, and geometrical intuition so as to provide them with working ability with non-linear systems.

Introduction

(1 week) (St 1-37,+)

Bifurcations in one dimensional systems

(3 weeks)

Two-dimensional systems and some more basics

(4 weeks)

Chaos, transition to chaos

(4 weeks)

The Lorentz model as an introduction to chaotic systems (examples briefly motivating it from atmospheric dynamics and as a model of Magnetic field reversals of the Earth); and then a more systematic characterization of chaotic systems (examples from fluid dynamics and mantle convection) (St §9). Some preliminaries: Poincare maps.

Universal routes to chaos:

More:

Chaos in Hamiltonian systems

(2 weeks)

Misc

(time permitting)

Course requirements

Homeworks will be given throughout the course. The best 80% of the assignments will constitute 50% of the final grade. A final exam will constitute another 50%.

Misc

  1. A Java applet demonstrating sensitivity to initial conditions in the Lorenz system: here.
  2. An on-line chaos course is at http://www.cmp.caltech.edu/~mcc/Chaos_Course/
  3. An interactive on line demo of a driven pendulum.
  4. Devil's staircase in circle map and Farey tree: and also this paper.
  5. For some interesting details about the KAM theorem, check here.
  6. Nonlinear resonance and bridge collapsing: The Tacoma Narrows Bridge and the millennium pedestrian bridge in the UK.