Weak optimal transport with unnormalized kernels
Philippe Chon\'e (CREST), Nathael Gozlan (MAP5 - UMR 8145), Francis, Kramarz (CREST)

TL;DR
This paper introduces a novel variant of weak optimal transport using unnormalized kernels, providing dual formulas, attainment conditions, and a new characterization of stochastic order related to convex functions.
Contribution
It develops a new weak optimal transport framework with unnormalized kernels, establishing duality results and stochastic order characterizations.
Findings
Dual formula for the new transport problem
Conditions for primal and dual attainment
Transport characterization of convex stochastic order
Abstract
We introduce a new variant of the weak optimal transport problem where mass is distributed from one space to the other through unnormalized kernels. We give sufficient conditions for primal attainment and prove a dual formula for this transport problem. We also obtain dual attainment conditions for some specific cost functions. As a byproduct we obtain a transport characterization of the stochastic order defined by convex positively 1-homogenous functions, in the spirit of Strassen theorem for convex domination.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Point processes and geometric inequalities · Markov Chains and Monte Carlo Methods
