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

Upper Bound for Large Deviations of Reversible Diffusion Processes