. 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)
1Iteration 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.