The Chapman-Kolmogorov equations provide a fundamental relationship in the theory of stochastic processes, describing how the probability distribution of a system evolves over time by integrating over all possible intermediate states. These equations are crucial for understanding Markov processes, where the future state depends only on the current state and not on the sequence of events that preceded it.