![SOLVED: Example 6: Find the stationary distribution of Markov chain in Example 4. 0.6 0. 0.5 0.3 0.2 0.4 0.4 0.2 Solution: Let V stationary distribution = [V1 V2 V3] [0.6 0.3](https://cdn.numerade.com/ask_images/6ec5b37fecc54d94bfa846d2628c51dd.jpg "SOLVED: Example 6: Find the stationary distribution of Markov chain in Example 4. 0.6 0. 0.5 0.3 0.2 0.4 0.4 0.2 Solution: Let V stationary distribution = [V1 V2 V3] [0.6 0.3")
SOLVED: Example 6: Find the stationary distribution of Markov chain in Example 4. 0.6 0. 0.5 0.3 0.2 0.4 0.4 0.2 Solution: Let V stationary distribution = [V1 V2 V3] [0.6 0.3
SOLVED: A stationary distribution of a Markov chain is a probability distribution that remains unchanged in the Markov chain as time progresses. Typically, it is represented as a row vector T whose
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