Wasserstein Asymptotics for the Empirical Measure of Fractional Brownian Motion on a Flat Torus
Martin Huesmann, Francesco Mattesini, Dario Trevisan

TL;DR
This paper investigates the asymptotic behavior of the Wasserstein distance between the empirical measure of fractional Brownian motion on a flat torus and the uniform measure, revealing phase transitions influenced by the Hurst index and dimension.
Contribution
It provides new bounds for Wasserstein distances involving fractional Brownian motion, highlighting a phase transition phenomenon and combining PDE and probabilistic methods.
Findings
Identifies phase transition in Wasserstein rates at dimension d=2+1/H.
Establishes bounds for empirical measures of fractional Brownian motion.
Extends results to discrete-time approximations and lower bounds on Euclidean space.
Abstract
We establish asymptotic upper and lower bounds for the Wasserstein distance of any order between the empirical measure of a fractional Brownian motion on a flat torus and the uniform Lebesgue measure. Our inequalities reveal an interesting interaction between the Hurst index and the dimension of the state space, with a "phase-transition" in the rates when , akin to the Ajtai-Koml\'os-Tusn\'ady theorem for the optimal matching of i.i.d. points in two-dimensions. Our proof couples PDE's and probabilistic techniques, and also yields a similar result for discrete-time approximations of the process, as well as a lower bound for the same problem on .
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Stochastic processes and statistical mechanics · Stochastic processes and financial applications
