Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with...

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Complexity: Ch. 2 Complexity in Systems 1

Transcript of Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with...

Page 1: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Complexity: Ch. 2

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Page 2: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Dynamical Systems

•Merely means systems that evolve with time• not intrinsically interesting in our context

•What is interesting are certain non-linear dynamical systems• So lets work our way up to those

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Page 3: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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What’s coming in this chapter

•Dynamical systems•Nonlinear dynamical systems•Nonlinear chaotic dynamical systems•Order in nonlinear chaotic dynamical systems

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Page 4: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Dynamical systems

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Page 5: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Newtonian Mechanics

•A triumph of reductionism•Led to Laplace’s description of a predictable, clockwork universe•Famous 19th century complacency that physics was essentially complete except for some details 5

Page 6: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Worms in the apple of certainty•Quantum mechanics and Heisenberg’s Principle•not sure this is relevant•Discovery of presumably well-posed problems that are pathologically dependent on initial conditions

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Page 7: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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On initial conditions

The state of a dynamical system, such as the Solar System, depends on• the position and velocity of all of its components at some particular time, called initial conditions, and• the application of its equations of motion (i.e., Newton’s laws, updated). 7

Page 8: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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The logistic map

The logistic map is the name of a class of dynamical systems that play a large role in complexity theory.

Think of it as thelogistic model of population growth

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Page 9: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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The logistic map

“Logistic” may come from the French word meaning “to house” but that’s only a guess.

“Map” just means function.

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Page 10: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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The logistic population model

Here it is:

is in [0, 1] and is the population at time n relative to the maximum possible population

R is in [0, 4] is a measure of the replacement rate

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Page 11: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Show us pictures!

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Page 12: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Same R, different starting value

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Page 13: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Larger R

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Page 14: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Slightly larger R

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Page 15: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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R = 4: SDIC and chaos

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Page 16: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Bifurcation map

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Page 17: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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First bifurcation

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Page 18: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Bifurcation map

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Page 19: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Onset of chaos (period doubling)

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Page 20: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Mitchell Feigenbaum

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Page 21: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Feigenbaum’s Constant

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4.6692016

Page 22: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Example: logistic map

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Page 23: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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δ = 4.669 201 609 102 990 671 853 203 821 578

Page 24: Complexity: Ch. 2 Complexity in Systems 1. Dynamical Systems Merely means systems that evolve with time not intrinsically interesting in our context What.

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Takeaway

• Simple, deterministic systems can generate apparent random behavior• Long term prediction for such systems may be impossible in principle• Such systems may show surprising regularities: period-doubling and Feigenbaum’s Constant 24