← Back to results Optimal matching problem on the Boolean cube Shi Feng
Abstract We establish upper and lower bounds for the expected Wasserstein-1 distance between the random empirical measure and the uniform measure on the Boolean cube. Our analysis leverages techniques from Fourier analysis, following the framework introduced in (Ann. Appl. Probab. 31 (2021) 2567–2584), as well as methods from large deviations theory.
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@article{shi2026,
title = {{Optimal matching problem on the Boolean cube}},
author = {Shi Feng},
journal = {Bernoulli},
year = {2026},
doi = {https://doi.org/https://doi.org/10.3150/25-bej1919},
} TY - JOUR
TI - Optimal matching problem on the Boolean cube
AU - Feng, Shi
JO - Bernoulli
PY - 2026
ER - Shi Feng (2026). Optimal matching problem on the Boolean cube. *Bernoulli*. https://doi.org/https://doi.org/10.3150/25-bej1919 Shi Feng. "Optimal matching problem on the Boolean cube." *Bernoulli* (2026). https://doi.org/https://doi.org/10.3150/25-bej1919. Optimal matching problem on the Boolean cube
Shi Feng · Bernoulli · 2026
https://doi.org/https://doi.org/10.3150/25-bej1919 Copy
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