The ________ is average, constant probability that the system will be in a state in the future.
A) transition probability
B) state of the system
C) steady-state probability
D) transition matrix

Question

Quizplus · Accepted Answer

Steady-state probability represents the long-term behavior of a Markov chain and is defined as the probability of the system being in a state in the distant future, assuming the chain has been running for a long time. It is constant and does not depend on the starting state or the length of the chain. Transition probability refers to the probability of moving from one state to another in a single step, while a transition matrix shows the probabilities of moving between all pairs of states in one step. State of the system refers to the current state of the system. Therefore, steady-state probability is the best choice for the given definition.

The ________ Is Average, Constant Probability That the System Will