The above is an example of "3\\times3" Markov chain.
To calculate the long run market share of the manufacturers, we need to create first "3\\times3" transition matrix for this problem. The columns denote the conditional probability of buying a car manufactured by three companies and rows represents the respective manufacturer of the car
Hence the matrix "T" will be equal to
We can define "T^{(n)}" as an n step transition matrix, now we can find "T^{(2)}"
Now let us assume the current share in the market for different manufacturers as "s_0 = [0.56,\\ 0.24,\\ 0.20]" , then the companies share after two years
Hence percentage share will be "A = 36.12\\%,\\ B = 37.885\\%" and "C = 25.995\\%"
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