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This paper studies rescaled images, under , of the sample Fr'{e}chet means of i.i.d. random variables with Fr'{e}chet mean on a Riemannian manifold. We show that, with appropriate scaling, these images converge weakly to a diffusion process. Similar to the Euclidean case, this limiting diffusion is a Brownian motion up to a linear transformation. However, in addition to the covariance structure of , this linear transformation also depends on the global Riemannian structure of the manifold.

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