Markov chains is a stochastic process that models sequences of possible events where the probability of transitioning to any future state depends solely on the current state, not on the historical sequence of states that led to it, thereby exhibiting the property of memorylessness. This mathematical framework is significant for analyzing and predicting the long-term behavior of systems that evolve through discrete states over time.