Stochastic homogenization of dynamical discrete optimal transport
Peter Gladbach, Eva Kopfer

TL;DR
This paper investigates how dynamical optimal transport on random graphs behaves at large scales, establishing a stochastic homogenization result that links discrete graph problems to a continuous optimal transport framework.
Contribution
It introduces a stochastic homogenization theorem that describes the effective large-scale behavior of dynamical optimal transport on stationary random graphs.
Findings
Effective behavior characterized by a continuous optimal transport problem
Homogenized energy density depends on graph geometry
Bridges discrete and continuous optimal transport theories
Abstract
The aim of this paper is to examine the large-scale behavior of dynamical optimal transport on stationary random graphs embedded in . Our primary contribution is a stochastic homogenization result that characterizes the effective behavior of the discrete problems in terms of a continuous optimal transport problem, where the homogenized energy density results from the geometry of the discrete graph.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering
