A discrete-time Markov chain is a mathematical model that represents a sequence of events where the outcome of each event only depends on the state of the previous event and not on the sequence of events that preceded it. This characteristic of 'memorylessness' is known as the Markov property, making these chains useful for modeling systems that evolve over discrete time intervals with probabilistic transitions between states.
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