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Introduction to the Modeling and Analysis of Complex Systems

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168 CHAPTER 9. CHAOScan’t cross, which imposes limitations on where you can go in <strong>the</strong> future. In such an increasinglyconstraining environment, it is not possible <strong>to</strong> maintain continuously exploringdynamics for an indefinitely long period <strong>of</strong> time.Exercise 9.8 Ga<strong>the</strong>r a pen <strong>and</strong> a piece <strong>of</strong> blank paper. Start drawing a continuouscurve on <strong>the</strong> paper that represents <strong>the</strong> trajec<strong>to</strong>ry <strong>of</strong> a hypo<strong>the</strong>tical dynamicalsystem in a 2-D phase space. The shape <strong>of</strong> <strong>the</strong> curve you draw can be arbitrary,but with <strong>the</strong> following limitations:• You can’t let <strong>the</strong> pen go <strong>of</strong>f <strong>the</strong> paper. The curve must be drawn in one continuousstroke.• The curve can’t merge in<strong>to</strong> or cross itself.• You can’t draw curves flowing in opposing directions within a very tiny area(this violates <strong>the</strong> assumption <strong>of</strong> phase space continuity).Keep drawing <strong>the</strong> curve as long as you can, <strong>and</strong> see what happens. Discuss <strong>the</strong>implications <strong>of</strong> <strong>the</strong> result for dynamical systems. Then consider what would happenif you drew <strong>the</strong> curve in a 3-D space instead <strong>of</strong> 2-D.Exercise 9.9 Let z i denote <strong>the</strong> value <strong>of</strong> <strong>the</strong> i-th peak <strong>of</strong> z(t) produced by <strong>the</strong>Lorenz equations. Obtain time series data {z 1 , z 2 , z 3 , . . .} from numerical simulationresults. Plot z t against z t−1 , like in a cobweb plot, <strong>and</strong> see what kind <strong>of</strong> structureyou find <strong>the</strong>re. Do this visualization for various values <strong>of</strong> r, while keeping s = 10<strong>and</strong> b = 3, <strong>and</strong> compare <strong>the</strong> results with <strong>the</strong> results <strong>of</strong> <strong>the</strong> bifurcation analysisobtained in Exercise 9.6.As reviewed through this <strong>and</strong> previous chapters, bifurcations <strong>and</strong> chaos are <strong>the</strong> mostdistinctive characteristics <strong>of</strong> nonlinear systems. They can produce unexpected systembehaviors that are <strong>of</strong>ten counter-intuitive <strong>to</strong> our everyday underst<strong>and</strong>ing <strong>of</strong> nature. Bu<strong>to</strong>nce you realize <strong>the</strong> possibility <strong>of</strong> such system behaviors <strong>and</strong> you know how <strong>and</strong> when<strong>the</strong>y can occur, your view <strong>of</strong> <strong>the</strong> world becomes a more informed, enriched one. After all,bifurcations <strong>and</strong> chaos are playing important roles in our physical, biological, ecological,<strong>and</strong> technological environments (as well as inside our bodies <strong>and</strong> brains). They shouldthus deserve our appreciation.This chapter concludes our journey through systems with a small number <strong>of</strong> variables.We will shift gears <strong>and</strong> finally go in<strong>to</strong> <strong>the</strong> realm <strong>of</strong> complex systems that are made <strong>of</strong> a

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