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Applications of a Markov mapping theorem

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Conditions in terms of generators are given under which the image of a solution of a martingale problem with values in one metric space gives a solution of a martingale problem with values in the image space. Applications of the general result will be discussed including Burke’s theorem, uniqueness for stochastic partial differential equations, and limit theorems for branching processes.

This talk is part of the Probability series.

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