Sharp PDE estimates for random two-dimensional bipartite matching with power cost function
Luigi Ambrosio, Federico Vitillaro, Dario Trevisan

TL;DR
This paper extends PDE-based analysis to the two-dimensional bipartite matching problem with convex power costs, linking PDE solutions to optimal transport costs and revealing new asymptotic behaviors.
Contribution
It generalizes the PDE approach from quadratic costs to convex power costs, introducing a non-linear q-Poisson equation for better analysis.
Findings
Established asymptotic relations between PDE energy and transport cost.
Extended PDE ansatz to non-linear q-Poisson equations.
Provided new insights into the asymptotic behavior of optimal matching costs.
Abstract
We investigate the random bipartite optimal matching problem on a flat torus in two-dimensions, considering general strictly convex power costs of the distance. We extend the successful ansatz first introduced by Caracciolo et al. for the quadratic case, involving a linear Poisson equation, to a non-linear equation of -Poisson type, allowing for a more comprehensive analysis of the optimal transport cost. Our results establish new asymptotic connections between the energy of the solution to the PDE and the optimal transport cost, providing insights on their asymptotic behavior.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSecurity in Wireless Sensor Networks · Wireless Communication Security Techniques · Statistical Methods and Inference
