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Long Term Behavior -- Cycles


You should use one of the computer algebra systems below with this module. Click on the appropriate icon for your preferred CAS and then arrange your screen so that you can easily move back-and-forth between this window and your CAS window. Click on the appropriate help button for help.

Maple worksheet Mathematica notebook TI-92 Browser Window

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You may recall one of the logistic models we looked at.

p(1) = 50

p(n + 1) = 3.4 [1 - .001 p(n)] p(n)

        1   50.00        6  840.11       11  454.66       16  842.65
        2  161.50        7  456.69       12  843.01       17  450.81
        3  460.42        8  843.62       13  449.97       18  841.77
        4  844.67        9  448.54       14  841.49       19  452.85
        5  446.08       10  841.00       15  453.51       20  842.44

Missing Graphic

In this model the population seems to be settling in a pattern -- going back-and-forth between two different populations -- roughly 450 and 840. This kind of pattern in which the same numbers repeat over and over again is called a cycle. In this case because two numbers are repeating it is called a 2-cycle. When the repeating pattern has three numbers, it is called a 3-cycle and so forth. Sometimes we say a cycle of period 2 or a cycle of period 3 instead of a 2-cycle or a 3-cycle.

Cycles have some similarities with equilibrium points. We find equilibrium points for a dynamical system with the change equation


p(n + 1) = f(p(n))

by solving the equation


p = f(p)

Graphically, solving this equation finds the points at which the curve y = f(p) crosses the diagonal line y = p.

We find 2-cycles by solving the equation


p = f(f(p))
Graphically, solving this equation finds the points at which the curve y = f(f(p)) crosses the diagonal line y = p as shown in the figure below.

Missing Graphic

Notice that equilibrium points are also a solution of this equation.


Use your CAS window to study this model by reproducing the graphs and calculations above and also by solving the equation

f(f(p)) = p

where

f(p) = 3.4 [1 - .001 p] p.


Recall that an equilibrium point of a dynamical system may or may not be a limit of the sequence generated by that dynamical system. In a similar way a 2-cycle or, more generally an n-cycle may or may not attract a sequence. Consider, for example, another logistic model, the model

p(1) = 50

p(n + 1) = 4.0 [1 - .001 p(n)] p(n)

        1   50.00        6  645.70       11  999.65       16  316.37
        2  190.00        7  915.09       12    1.39       17  865.11
        3  615.60        8  310.82       13    5.57       18  466.77
        4  946.55        9  856.84       14   22.14       19  995.58
        5  202.38       10  490.67       15   86.59       20   17.59

Missing Graphic


Use your CAS window to solve the equation

f(f(p)) = p

where

f(p) = 4 [1 - .001 p] p


Notice there is a 2-cycle but looking at the calculations above we see that the sequence is not attracted to the 2-cycle. In fact, there is no apparent pattern at all. This situation is called chaos.


Check Your Understanding


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Copyright c 1995 by PWS Publishing Company, a division of International Thomson Publishing Inc. Comments to Frank Wattenberg, Department of Mathematics, Carroll College, Helena, MT 59625.