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Main Authors: Mattesini, Francesco, Otto, Felix
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2505.10175
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author Mattesini, Francesco
Otto, Felix
author_facet Mattesini, Francesco
Otto, Felix
contents The optimal matching of point clouds in $\mathbb{R}^d$ is a combinatorial problem; applications in statistics motivate to consider random point clouds, like the Poisson point process. There is a crucial dependance on dimension $d$, with $d=2$ being the critical dimension. This is revealed by adopting an analytical perspective, connecting e.\,g.~to Optimal Transportation. These short notes provide an introduction to the subject. The material presented here is based on a series of lectures held at the International Max Planck Research School during the summer semester 2022. Recordings of the lectures are available at https://www.mis.mpg.de/events/event/imprs-ringvorlesung-summer-semester-2022.
format Preprint
id arxiv_https___arxiv_org_abs_2505_10175
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle From Combinatorics to Partial Differential Equations
Mattesini, Francesco
Otto, Felix
Probability
The optimal matching of point clouds in $\mathbb{R}^d$ is a combinatorial problem; applications in statistics motivate to consider random point clouds, like the Poisson point process. There is a crucial dependance on dimension $d$, with $d=2$ being the critical dimension. This is revealed by adopting an analytical perspective, connecting e.\,g.~to Optimal Transportation. These short notes provide an introduction to the subject. The material presented here is based on a series of lectures held at the International Max Planck Research School during the summer semester 2022. Recordings of the lectures are available at https://www.mis.mpg.de/events/event/imprs-ringvorlesung-summer-semester-2022.
title From Combinatorics to Partial Differential Equations
topic Probability
url https://arxiv.org/abs/2505.10175