5.2 A Markov process is a process for which the probability of entering a certain state depends on the last state occupi

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5 2 A Markov Process Is A Process For Which The Probability Of Entering A Certain State Depends On The Last State Occupi 1 (46.82 KiB) Viewed 55 times

5.2 A Markov process is a process for which the probability of entering a certain state depends on the last state occupied and not on an earlier state. Suppose that the 2017 state of land use in Kampala city with 176 km2 of built up area is as follows: с Commercially used 25% ! Industrially used 20% R Residentially used 55% a) Find the state of Kampala City in 2022. 2027 and 2032, assuming that the transition probabilities for 5-year intervals are given by the matrix A and remain practically the same over the time considered. [7 Marks) From C From I From R 0.7 0.1 0 То с A = 0.2 0.9 0.2 To I 0.1 0 0.8 TOR [10 Marks] b) Compute A- for the stochastic matrix A Note: A is a stochastic matrix i.e. a square matrix with all entries non-negative and all column sums equal to 1.