The backward Kolmogorov equation describes the evolution of conditional probabilities in a stochastic process. It connects the present state of a system to its past states, enabling the calculation of the expected future behavior of a process based on its current information. This equation is essential for understanding how systems transition over time, particularly in the context of Markov processes.
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