Table of Contents
Fetching ...

Using Sinkhorn in the JKO scheme adds linear diffusion

Aymeric Baradat, Anastasiia Hraivoronska, Filippo Santambrogio

TL;DR

The paper investigates the effect of replacing the quadratic optimal transport cost in the JKO scheme by its entropic regularization $D_ε$ (computed via the Sinkhorn algorithm) at each step. In the joint limit where the time step $τ$ and regularization parameter $ε$ vanish with $ε/τ→α$, the authors prove that the limiting evolution acquires a linear diffusion term, yielding the PDE $\partial_t ρ - \nabla\cdot( ρ(∇V+∇W*ρ) ) = Δ g(ρ) + (α/2) Δ ρ$, with $g(s)=s f'(s)-f(s)$ arising from the internal energy functional. The result unifies the entropic and classical JKO frameworks by showing how entropic regularization induces diffusion in the gradient-flow limit, and it strengthens existing α=0 results by relaxing a prior logarithmic-entropy constraint. The analysis leverages the Benamou–Brenier dynamic formulation of $D_ε$, duality for Schrödinger problems, and novel compactness estimates that control both the density and its entropy, enabling convergence to a well-posed weak (distributional) solution of the limit PDE. Practically, the work explains how entropic regularization used for numerical efficiency (via Sinkhorn) directly translates into a mathematically meaningful diffusion term in the continuum limit, strengthening the link between approximate OT and Wasserstein gradient flows.

Abstract

The JKO scheme is a time-discrete scheme of implicit Euler type that allows to construct weak solutions of evolution PDEs which have a Wasserstein gradient structure. The purpose of this work is to study the effect of replacing the classical quadratic optimal transport problem by the Schrödinger problem (\emph{a.k.a.}\ the entropic regularization of optimal transport, efficiently computed by the Sinkhorn algorithm) at each step of this scheme. We find that if $ε$ is the regularization parameter of the Schrödinger problem, and $τ$ is the time step parameter, considering the limit $τ,ε\to 0$ with $\fracετ \to α\in \mathbb{R}_+$ results in adding the term $\fracα{2} Δρ$ on the right-hand side of the limiting PDE. In the case $α= 0$ we improve a previous result by Carlier, Duval, Peyr{é} and Schmitzer (2017).

Using Sinkhorn in the JKO scheme adds linear diffusion

TL;DR

The paper investigates the effect of replacing the quadratic optimal transport cost in the JKO scheme by its entropic regularization (computed via the Sinkhorn algorithm) at each step. In the joint limit where the time step and regularization parameter vanish with , the authors prove that the limiting evolution acquires a linear diffusion term, yielding the PDE , with arising from the internal energy functional. The result unifies the entropic and classical JKO frameworks by showing how entropic regularization induces diffusion in the gradient-flow limit, and it strengthens existing α=0 results by relaxing a prior logarithmic-entropy constraint. The analysis leverages the Benamou–Brenier dynamic formulation of , duality for Schrödinger problems, and novel compactness estimates that control both the density and its entropy, enabling convergence to a well-posed weak (distributional) solution of the limit PDE. Practically, the work explains how entropic regularization used for numerical efficiency (via Sinkhorn) directly translates into a mathematically meaningful diffusion term in the continuum limit, strengthening the link between approximate OT and Wasserstein gradient flows.

Abstract

The JKO scheme is a time-discrete scheme of implicit Euler type that allows to construct weak solutions of evolution PDEs which have a Wasserstein gradient structure. The purpose of this work is to study the effect of replacing the classical quadratic optimal transport problem by the Schrödinger problem (\emph{a.k.a.}\ the entropic regularization of optimal transport, efficiently computed by the Sinkhorn algorithm) at each step of this scheme. We find that if is the regularization parameter of the Schrödinger problem, and is the time step parameter, considering the limit with results in adding the term on the right-hand side of the limiting PDE. In the case we improve a previous result by Carlier, Duval, Peyr{é} and Schmitzer (2017).

Paper Structure

This paper contains 11 sections, 10 theorems, 148 equations.

Key Result

Theorem 2.9

Let us assume that $V$ and $W$ are of class $C^2$, that $f$ satisfies Assumption ass:smooth_f, and let us define $\mathcal{F}$ as in eq:def_F and $g$ as in eq:def_g. Let us consider two sequences of positive numbers $(\tau_k)_{k \in \mathbb{N}}$ and $(\varepsilon_k)_{k \in \mathbb{N}}$ such that Let $\rho_0 \in \mathcal{P}(\mathbb{T}^d)$ satisfy $\mathcal{F}(\rho_0)< + \infty$ and $H(\rho_0)< + \

Theorems & Definitions (26)

  • Definition 2.1
  • Remark 2.2
  • Definition 2.3
  • Remark 2.4
  • Remark 2.6
  • Remark 2.8
  • Theorem 2.9
  • Remark 2.10
  • Proposition 3.1
  • proof : Formal proof
  • ...and 16 more