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Averaging of semigroups associated to diffusion processes on a simplex

Published 14 Nov 2021 in math.PR | (2111.07310v2)

Abstract: We study the averaging of a diffusion process living in a simplex $K$ of $\mathbb Rn$, $n\ge 1$. We assume that its infinitesimal generator can be decomposed as a sum of two generators corresponding to two distinct timescales and that the one corresponding to the fastest timescale is pure noise with a diffusion coefficient vanishing exactly on the vertices of $K$. We show that this diffusion process averages to a pure jump Markov process living on the vertices of $K$ for the Meyer-Zheng topology. The role of the geometric assumptions done on $K$ is also discussed.

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