. 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)

1
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

(1-N)*N*3+N, starting with the value N = .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.

B. (1-N)*N*2+N

.625
1.094
.888
1.087
.898

This one looks like it is settling down (or possibly bouncing back and forth) between about .9 and 1.09. This one doesn't look as chaotic as the last one.