Upper Bound for Large Deviations of Reversible Diffusion Processes

Mathematics – Probability

Scientific paper

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Scientific paper

For a Markov process associated with a diffusion type Dirichlet form an upper
bound is shown for the law of the finite dimensional distributions of the
process. Under some more assumptions on the underlaying space this is also
shown for the law of the Markov process itself. In the last section we want to
give an application to the Wasserstein diffusion.

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