Proof of the existence of a unique stationary distribution in a finite irreducible Markov chain.

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I am currently trying to understand a proof for the above, which states that, in other words, there exists a unique $\overrightarrow{v}$, such that $\overrightarrow{v}P = \overrightarrow{v}$ for the transition matrix $P$.

He first shows that there exists a non-zero $\overrightarrow{v}$, which satisfies $\overrightarrow{v}P = \overrightarrow{v}$.

Next, he proves that either $\forall v \in \overrightarrow{v} (v \text{ is non-negative})$ or $\forall v \in \overrightarrow{v} (v \text{ is non-positive})$ by contradiction. However, I don't understand what's the contradiction in this part of the proof. Attached is the proof for your reference.

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