1. Below are tables showing values for two iterated functions. For each function, tell whether it appears to be a chaotic function or not, and why you think so (all of the numbers are percents of the maximum capacity of the environment)
Iteration number
|
Function A
|
Function A
|
Function B
|
Function B
|
1
|
.240
|
.250
|
.240
|
.250
|
2
|
.511
|
.525
|
.638
|
656
|
3
|
.700 |
.698
|
.808
|
.790
|
...
|
...
|
...
|
...
|
...
|
14
|
.637
|
.638
|
.385
|
.461
|
15
|
.647
|
.647
|
.829
|
.870
|
16
|
.639
|
.639
|
.496
|
.396
|
Function A seems to be doing the same sort of thing with both inputs, so it is probably not chaotic; function B is pretty different for the two close inputs (by iteration 16, they are different by 10%), so it looks like it is behaving chaotically.
2. A. Using the population simulation equation
Pn+1 = (1-Pn)*Pn*3+Pn, starting with the value P0 = .250. Find the first 5 iterations of this function. Does it appear to be staying near a particular value? If so, tell what value it is getting close to.
the first 5 iterations would be: (iteration 0 is .25)
.813
|
1.269
|
.245
|
.8
|
1.28
|
Note: iteration 1 is (1-.25)*.25*3+.25=.8125 which rounds (3 decimal places) to .813
This doesn't seem to be getting close to anything: it is bouncing around in a probably chaotic way.
Pn+1 = (1-Pn)*Pn*2+Pn
.625
|
1.094
|
.888
|
1.087
|
.898
|
This one looks like it is settling down (or possibly bouncing back and forth) to a number between about .9 and 1.09. This one doesn't look as unpredictable as the last one.