The Chapman-Kolmogorov equation is a fundamental identity in the theory of stochastic processes, describing how the probability distribution of a process evolves over time by relating joint probabilities of different states. It provides the mathematical foundation for understanding and analyzing Markov processes, where the future state depends only on the present state and not on the sequence of events that preceded it.
