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Chaos You Can Play In May Tan Lim, Erin Miller, Nicky Grigg, Aaron Clauset SFI Complex System Summer School 3 July 2003 Outline Experimental setup Equations of Motion The Lorentz Equations Mathematical Simulation Data


  1. Chaos You Can Play In May Tan Lim, Erin Miller, Nicky Grigg, Aaron Clauset SFI Complex System Summer School 3 July 2003

  2. Outline ● Experimental setup ● Equations of Motion ● The Lorentz Equations ● Mathematical Simulation ● Data Analysis ● Getting Lucky

  3. Experimental Setup Wheel Diameter 25cm Cup Diameter 6.6cm Cup Volume 400mL Inclination Angle 15 deg Diagram from Strogatz (1994) Tracking the fluorescent ball color CCD camera (fish eye lens) shutter speed = 1/2000 s NI frame grabber + LabView 6.0

  4. Waterwheel in Action Watch for the change in behavior

  5. Equations of Motion 1) Angle change for each cup 2) Mass change in each cup 3) Torque balance of entire wheel

  6. Equations of Motion 1) Angle change for each cup 2) Mass change in each cup Note: Q = 0 for m > mmax 3) Torque balance of entire wheel

  7. Equations of Motion 1) Angle change for each cup 2) Mass change in each cup Note: Q = 0 for m > mmax 3) Torque balance of entire wheel

  8. Leak Rate Our assumption – Potential energy per unit volume at top of liquid is equal Mass to kinetic energy per unit volume of leaking water. Time (by 100’s of ms) So…

  9. Limitations of Strogatz Model ● Lorenz system ● Discrete vs. continuous distribution of mass ● Take lowest order term in Fourier expansion, then change variables ● Completeness of model relative to experiment

  10. Simulated Mass Regimes

  11. Omega Regimes Lorenz Equations Waterwheel Equations

  12. Model Agreement

  13. Phase Space Reconstruction ● reconstruction preserves topological features ● delay coordinate (tau) embedding ● average mutual entropy ● global false nearest neighbors, d E ● d not associated with E dimensionality of original system y(k) = [s(k), s(k+T), ... , s(k+(d-1)T ] NN NN NN NN y (k) = [s (k), s (k+T), ... , s (k+(d-1)T]

  14. Lorenz and Model Attractors Lorenz Model

  15. Model/Reality Agreement Data Model

  16. Sensitivity to Initial Conditions ● simulating x and x+delta 0 0 ● local Lyapunov exponent - nearby points separate exponentially in time

  17. Sensitivity to Initial Conditions

  18. Special thanks to • Andrew Belmonte • Ray Goldstein • CSSS Experimental Lab Sponsors

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