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.