You are given a starting state start, a list of transition probabilities for a Markov chain, and a number of steps num_steps. Run the Markov chain starting from start for num_steps and compute the number of times we visited each state.
For example, given the starting state a, number of steps 5000, and the following transition probabilities:
[
('a', 'a', 0.9),
('a', 'b', 0.075),
('a', 'c', 0.025),
('b', 'a', 0.15),
('b', 'b', 0.8),
('b', 'c', 0.05),
('c', 'a', 0.25),
('c', 'b', 0.25),
('c', 'c', 0.5)
]
One instance of running this Markov chain might produce { 'a': 3012, 'b': 1656, 'c': 332 }
.