The weather Markov chain of Example 10.10 has stationary distribution is π = (1/4, 1/5, 11/20). Determine whether or not the Markov chain is time reversible.
Example 10.10
Consider a Markov chain model for winter weather in Minnesota. Suppose on any day the weather can be in one of three states: clear, rain, and snow. A meteorologist suggests the following transition matrix:
