Semi-discrete optimal transport techniques for the compressible semi-geostrophic equations

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Main Authors: Bourne, David P., Egan, Charlie P., Lavier, Théo, Pelloni, Beatrice
Format: Preprint
Published: 2025
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author Bourne, David P.
Egan, Charlie P.
Lavier, Théo
Pelloni, Beatrice
author_facet Bourne, David P.
Egan, Charlie P.
Lavier, Théo
Pelloni, Beatrice
contents We prove existence of weak solutions of the 3D compressible semi-geostrophic (SG) equations with compactly supported measure-valued initial data. These equations model large-scale atmospheric flows. Our proof uses a particle discretisation and semi-discrete optimal transport techniques. We show that, if the initial data is a discrete measure, then the compressible SG equations admit a unique, twice continuously differentiable, energy-conserving and global-in-time solution. In general, by discretising the initial measure by particles and sending the number of particles to infinity, we show that for any compactly supported initial measure there exists a global-in-time solution of the compressible SG equations that is Lipschitz in time. This significantly generalises the original results due to Cullen and Maroofi (2003), and it provides the theoretical foundation for the design of numerical schemes using semi-discrete optimal transport to solve the 3D compressible SG equations.
format Preprint
id arxiv_https___arxiv_org_abs_2504_20807
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Semi-discrete optimal transport techniques for the compressible semi-geostrophic equations
Bourne, David P.
Egan, Charlie P.
Lavier, Théo
Pelloni, Beatrice
Analysis of PDEs
We prove existence of weak solutions of the 3D compressible semi-geostrophic (SG) equations with compactly supported measure-valued initial data. These equations model large-scale atmospheric flows. Our proof uses a particle discretisation and semi-discrete optimal transport techniques. We show that, if the initial data is a discrete measure, then the compressible SG equations admit a unique, twice continuously differentiable, energy-conserving and global-in-time solution. In general, by discretising the initial measure by particles and sending the number of particles to infinity, we show that for any compactly supported initial measure there exists a global-in-time solution of the compressible SG equations that is Lipschitz in time. This significantly generalises the original results due to Cullen and Maroofi (2003), and it provides the theoretical foundation for the design of numerical schemes using semi-discrete optimal transport to solve the 3D compressible SG equations.
title Semi-discrete optimal transport techniques for the compressible semi-geostrophic equations
topic Analysis of PDEs
url https://arxiv.org/abs/2504.20807