The weather on any given day in a particular city can be sunny, cloudy, or rainy. It has been observed to be predictable largely on the basis of the weather on the previous day. Specfically:
if it is sunny on one day, it will be sunny the next day 1/3 of the time, and be cloudy the next day 1/2 of the time
if it is cloudy on one day, it will be sunny the next day 1/3 of the time, and be cloudy the next day 1/2 of the time
if it is rainy on one day, it will be sunny the next day 1/6 of the time, and be cloudy the next day 1/3 of the time
Using 'sunny', 'cloudy', and 'rainy' (in that order) as the states in a system, set up the transition matrix for a Markov chain to describe this system.
Find the proportion of days that have each type of weather in the long run.
p = [ 0 0 0
0 0 0
0 0 0]
proportion of days that are: [sunny] [cloudy] [rainy] = [0
0
0]
0 answers