A regularized transportation cost stemming from entropic approximation
Camilla Brizzi, Luigi De Pascale, Anna Kausamo
TL;DR
The paper develops a comprehensive theory for entropic regularization of optimal transport with lower semicontinuous costs under natural summability bounds. It proves uniform bounds and regularity for the entropic transforms, establishes convergence of the Sinkhorn algorithm, and analyzes the limit as the regularization parameter $\\varepsilon$ vanishes, showing convergence to a Kantorovich-type dual pair for a regularized cost $\\tilde c$ and to OT minimizers with this cost in the primal. The results extend to the multi-marginal setting and encompass costs like the Coulomb interaction, providing a robust framework for understanding variational limits beyond convergence to the original unregularized problem. The findings offer a principled way to interpret entropic regularizations as approximations that remain well-posed under broad conditions and reveal the precise form of the limiting problem.
Abstract
We study the entropic regularizations of optimal transport problems under suitable summability assumptions on the point-wise transport cost. These summability assumptions already appear in the literature. However, we show that the weakest compactness conditions that can be derived are already enough to obtain the convergence of the regularized functionals. This approach allows us to characterize the variational limit of the regularization even when it does not converge to the original problem. The results apply also to problems with more than two marginals.
