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:
![](https://test.transtutors.com/qimg/9de823f2-0173-4185-a108-d7adf2c05422.png)