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alexdok [17]
3 years ago
12

Data collected from selected major metropolitan areas in the eastern United States show that 2% of individuals living within the

city limits move to the suburbs during a one-year period, while 1% of individuals living in the suburbs move to the city during a one-year period. Assuming that this process is modeled by a Markov process with two states: city and suburbs.
a. Prepare the matrix of transition probabilities.
b. Compute the steady-state probabilities.
c. In a particular metropolitan area, 40% of the population lives in the city, and 60% of the population lives in the suburbs. What population changes do your steady-state probabilities project for this metropolitan area?
Mathematics
1 answer:
disa [49]3 years ago
7 0

Answer:

a)  City Suburbs city 0.98 0.02 ,  Suburbs  0.01 0.99

b)  0.333 ,  0.667

c )  Using the steady-state probabilities, There will be an increase in the Suburb population and a decrease in City population

Step-by-step explanation:

2% living within the city limits move to suburbs

1% living within the suburbs move to the city

a) Matrix of transition probabilities  

City Suburbs city 0.98 0.02 ,  Suburbs  0.01 0.99

<u>b) Steady -state probabilities </u>

attached below

steady state probabilities = 0.333 ,  0.667

<u>c) Determine the population changes the steady-state probabilities </u>

Using the steady-state probabilities, There will be an increase in the Suburb population and a decrease in City population i.e. a decrease from 40% to 33%

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