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.