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Chaos in Logistic Models
Transition to chaos in a family of logistic growth sequences. Presented in Elementary Math Models class, April 21, 2015
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Fish Pop Model Let an = population in 100,000’s
Diff eqn an+1 = m(1 – an) an Look at various combinations of m and a0 Note that L = 1 so mL = m
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m = 3.2 a0 = .7 and .4
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m = 3.4 a0 = .7 and .4
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m = 3.5 a0 = .7 and .4
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m = a0 = and
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New Kind of Graph Transition to Chaos
Compare long term behavior of models differing only in the value of m Horizontal axis shows values of m Compress sequence graph to a single vertical line, located above the value of m Discard first 100 terms, plot next 500, so that only long term behavior is shown First example: m = 3.2
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Bifurcation Diagram Detailed survey of results for 0 ≤ m ≤ 4
Shows long term behavior for ALL logistic growth models in one graph Shows transition to chaos Shows surprising visual patterns in the chaotic behaviors A new kind of order – not in the evolution of any one model, but in relations among many different versions of the model
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Closeup on Chaos Expanded view for for 3.5 ≤ m ≤ 4
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High Resolution Image Expanded view for for 2.8 ≤ m ≤ 4 by Robert Devaney, Boston University
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