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Existence of a solution of the TV Wasserstein gradient flow

Kexin Lin, Filippo Santambrogio

TL;DR

The paper proves the existence of a TV-Wasserstein gradient flow on the flat torus for densities bounded above and below, extending prior 1D results to higher dimensions by introducing a lower-bound regularization in a TV-JKO scheme. It establishes a minimum principle for the approximated flow, demonstrates convergence of the approximated scheme to a weak solution, and derives explicit BV-norm decay rates: $J(\rho(t)) \le \min\{A t^{-1}, B t^{-1/3}, J(\rho_0)\}$ with $A=\kappa/(4\pi^2)$, $B=3\kappa^{1/3}$ and $\kappa=\beta/\alpha$, where $\alpha\le\rho_0\le\beta$. These results yield existence for BV initial data and extend to general densities via BV-approximation, preserving density bounds and providing decay in BV that is robust to initial regularity. The methods blend a detailed BV/optimal-transport framework with a regularized JKO scheme to overcome convexity obstacles in higher dimensions.

Abstract

On the flat torus in any dimension we prove existence of a solution to the TV Wasserstein gradient flow equation, only assuming that the initial density $ρ_0$ is bounded from below and above by strictly positive constants. This solution preserves upper and lower bounds of the densities, and shows a certain decay of the BV norm (of the order of $t^{-1/3}$ for $t\to 0$ -- if $ρ_0\notin BV$, otherwise the BV norm is of course bounded -- and of the order of $t^{-1}$ as $t\to\infty$). This generalizes a previous result by Carlier and Poon, who only gave a full proof in one dimension of space and did not consider the case $ρ_0\notin BV$. The main tool consists in considering an approximated TV-JKO scheme which artificially imposes a lower bound on the density and allows to find a continuous-in-time solution regular enough to prove that the lower bounds of the initial datum propagates in time, and study on this approximated equation the decay of the BV norm.

Existence of a solution of the TV Wasserstein gradient flow

TL;DR

The paper proves the existence of a TV-Wasserstein gradient flow on the flat torus for densities bounded above and below, extending prior 1D results to higher dimensions by introducing a lower-bound regularization in a TV-JKO scheme. It establishes a minimum principle for the approximated flow, demonstrates convergence of the approximated scheme to a weak solution, and derives explicit BV-norm decay rates: with , and , where . These results yield existence for BV initial data and extend to general densities via BV-approximation, preserving density bounds and providing decay in BV that is robust to initial regularity. The methods blend a detailed BV/optimal-transport framework with a regularized JKO scheme to overcome convexity obstacles in higher dimensions.

Abstract

On the flat torus in any dimension we prove existence of a solution to the TV Wasserstein gradient flow equation, only assuming that the initial density is bounded from below and above by strictly positive constants. This solution preserves upper and lower bounds of the densities, and shows a certain decay of the BV norm (of the order of for -- if , otherwise the BV norm is of course bounded -- and of the order of as ). This generalizes a previous result by Carlier and Poon, who only gave a full proof in one dimension of space and did not consider the case . The main tool consists in considering an approximated TV-JKO scheme which artificially imposes a lower bound on the density and allows to find a continuous-in-time solution regular enough to prove that the lower bounds of the initial datum propagates in time, and study on this approximated equation the decay of the BV norm.
Paper Structure (13 sections, 11 theorems, 89 equations)

This paper contains 13 sections, 11 theorems, 89 equations.

Key Result

Lemma 2.1

Given a $C^1$ function $g$ such that $g'$ is bounded and strictly positive, then for any $(\rho, z) \in \mathcal{A}$, the pair $(g(\rho), z)$ is also in $\mathcal{A}$.

Theorems & Definitions (27)

  • Definition 2.1
  • Remark 2.1
  • Lemma 2.1
  • proof
  • Lemma 2.2
  • proof
  • Definition 2.2
  • Theorem 3.1
  • proof : Proof of Theorem \ref{['thm:regularity_to_minimum_principle']}
  • Theorem 4.1
  • ...and 17 more