What would you like to understand?

The stationary distribution is the row vector $\pi = [4/11, 7/11]$.

Conditions: The transition matrix is $P = \begin{bmatrix} 0.3 & 0.7 \\ 0.4 & 0.6 \end{bmatrix}$.; $\pi$ is a row vector satisfying $\pi P = \pi$ and $\sum \pi_i = 1$.

The stationary distribution is the row vector $\pi = [4/11, 7/11]$.

Conditions: The transition matrix is $P = \begin{bmatrix} 0.3 & 0.7 \\ 0.4 & 0.6 \end{bmatrix}$.; $\pi$ is a row vector satisfying $\pi P = \pi$ and $\sum \pi_i = 1$.

A simple sanity check is to verify that the sum of the probabilities in each row of the transition matrix equals 1.

Conditions: The matrix is intended to be a transition matrix for a Markov chain.

A simple sanity check is to verify that the sum of the probabilities in each row of the transition matrix equals 1.

Conditions: The matrix is intended to be a transition matrix for a Markov chain.