Steady state condition
In many cases, the Markov process will converge to a steady state or equilibrium.
In general, as number of transitions `n' increase, the state values tend to stabilize at steady state. This is a logical occurrence, since the present state tends to lose significance.
Steady State vector:
A steady vector is given in terms of decimal proportions as
Subject to X + Y + Z = 1
i.e. once a steady state is arrived at, multiplication of a state condition by the transition probabilities does not change its state condition.