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Invited 4
in
Workshop: Optimal Transport and Machine Learning

Laplacian operator and Brownian motions on the Wasserstein space

Wilfrid Gangbo

[ ]
2017 Invited 4
in
Workshop: Optimal Transport and Machine Learning

Abstract: We endow the space of probability measures on $\mathbb{R}^d$ with $\Delta_w$, a Laplacian operator. A Brownian motion is shown to be consistent with the Laplacian operator. The smoothing effect of the heat equation is established for a class of functions. Special perturbations of the Laplacian operator, denoted $\Delta_{w,\epsilon}$, appearing in Mean Field Games theory, are considered (Joint work with Y. T. Chow).

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