Tranport estimates for random measures in dimension one

Abstract

We show that there is a sharp threshold in dimension one for the transport cost between the Lebesgue measure $\lambda$ and an invariant random measure $\mu$ of unit intensity to be finite. We show that for \emph{any} such random measure the $L^1$ cost are infinite provided that the first central moments $\mathbb{E}[|n-\mu ([0,n))|]$ diverge. Furthermore, we establish simple and sharp criteria, based on the variance of $\mu ([0,n)]$, for the $L^p$ cost to be finite for $0<p<1$.

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References in corpus (1)

• Continuum limits of random matrices and the Brownian carousel