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0.95& 0.03 0.05& 0.97
| From | |||
|---|---|---|---|
| City | Suburbs | ||
| To | City | 95 % | 3 % |
| Suburbs | 5 % | 97 % | |
We can write a transition matrix corresponding to this table. 0.95& 0.03 0.05& 0.97
c s
Let's calculate and interpret the product matrix.
0.95& 0.03 0.05& 0.97
c s =
0.95c+0.03s 0.05c+0.97s
In this part of the question we are given the current population of the city and the suburbs. c&=16 275 s&=17 552 We are asked to predict the population next year. According to our interpretation of the product above, this can be done by calculating the following product matrix. 0.95& 0.03 0.05& 0.97 16 275 17 552 Let's evaluate the product.
Multiply matrices
Multiply
Add terms
Since the second element of the result corresponds to the population in the suburbs, according to this trend there will be about 17 839 people living in the suburbs next year.
0.95& 0.03 0.05& 0.97
c s =
16 275 17 552
A matrix equation like this can be solved using the inverse matrix.
Substitute values
Multiply matrices
Multiply
Add terms
Multiply matrix by 1/0.92
Since the first element of the result corresponds to the population in the city, we found that there were about 16 587 people living in the city last year.