The values towards which state probabilities converge are the steady-state probabilities.

Name: The values towards which state probabilities converge are the steady-state probabilities.
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This statement is true according to the theory of Markov chains. As the state probabilities are updated through successive iterations of the transition matrix, they converge towards a set of values known as the steady-state probabilities, which represent the long-term distribution of the system.

The Values Towards Which State Probabilities Converge Are the Steady-State