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![]() Title:The Wasserstein Geometry of Random Measures Conference:IMPMS 2026 Tags:Random measures, Superposition principle and Wasserstein geometry Abstract: We study the geometric structure of the space of random measures $\mathcal{P}_p (\mathcal{P}_p(X))$, endowed with the Wasserstein-on-Wasserstein metric, where $(X, d)$ is a complete separable metric space. In this setting, we prove a metric superposition principle, that will allow us to recover important geometric features of the space. When $X$ is $\mathbb{R}^d$, we study the differential structure of \(\mathcal{P}_p(\mathcal{P}_p(\mathbb{R}^d))\) in analogy with the simpler Wasserstein space $\mathcal{P}_p(\mathbb{R}^d)$. We show that continuity equations for laws of random measures involving the abstract concept of derivation acting on cylinder functions can be more conveniently described by suitable non-local vector fields $b:[0,T]\times \mathbb{R}^d \times \mathcal{P}_p(\mathbb{R}^d) \to \mathbb{R}^d$. In this way, we can: characterize the absolutely continuous curves on the Wasserstein-on-Wasserstein space; define and characterize its tangent bundle; prove a Benamou-Brenier-like formula; prove a superposition principle for the solutions to the standard non-local continuity equation in terms of solutions of interacting particle systems. The Wasserstein Geometry of Random Measures ![]() The Wasserstein Geometry of Random Measures | ||||
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