A Markov diffusion is a continuous-path Markov process whose local evolution is described by a drift vector and diffusion matrix. For sufficiently regular coefficients, its infinitesimal generator is a second-order differential operator and its conditional expectations satisfy a Kolmogorov backward equation.
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