Now ... I ve made it. Files are smaller.
I need help with question 2 part (b)
many thanks
I'm curious. If all you need is 2 (b) why did you post the first page?
Anyway, we have a matrix equation:
and an initial population distribution:
whereis the set of eigenvectors of A.
Letbe the set of eigenvalues corresponding to the (respective) eigenvector.
Then
Iterating this process gives:
Now, ifis the dominant eigenvalue (I think this said the first eigenvalue. It was hard to read.) then we may assume
for all
. (Obviously only a positive eigenvalue can dominate the population.) This means that for large k there is effectively only one term in the
that is significant: the first term. So
for large k.
This means the population is stable in the state represented by eigenvectorand has a growth rate represented by
.
If there is no dominant eigenvalue then the population will fluctuate in a series of eigenstates with no specific growth rate dominating. However, for large enough k the population should stabilize around a vector that is the sum of eigenvectors with the largest eigenvalues. For example, say that we know thatfor
. Then, given a large enough k we would have:
So the population would settle into a growth state vectorwith (in this case) a growth of
.
-Dan