Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels

📅 2026-08-02
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This work addresses the failure of standard gradient flow theory in Wasserstein space for maximum mean discrepancy (MMD) induced by non-smooth energy kernels, stemming from the lack of displacement semiconvexity. To overcome this, the authors develop a novel framework for Wasserstein gradient flows tailored to non-displacement-semiconvex energies. By integrating the modulated energy method, Lagrangian critical point analysis, subcritical $L^p$ estimates, moment bounds, mean-field limits, and $\omega$-limit set theory, they establish the first global well-posedness result for MMD gradient flows. The study reveals a critical correspondence between particle systems and their continuum limit and constructs collision-free saddle-point equilibria. Furthermore, it proves compactness and convergence of solution trajectories, achieving convergence to the target measure under rigidity conditions, while simultaneously disproving the validity of a global Polyak–Łojasiewicz inequality and the existence of an initial-data-independent MMD decay modulus.
📝 Abstract
We study the Wasserstein gradient flow of the squared Maximum Mean Discrepancy (MMD) generated by the nonsmooth energy kernels $K(z)=-|z|^q$, $0<q<2$. In dimensions $d\ge2$, the corresponding energies are not displacement semiconvex, so standard Wasserstein-gradient-flow theory does not apply. When $d+q-2>0$, we prove global well-posedness on $\mathbb{R}^d$ for probability densities in subcritical $L^p$ spaces, with targets in the same integrability class and with finite moments. We also include the one-dimensional Coulomb endpoint $d=q=1$. For the associated $N$-particle system, we prove global noncollision and fixed-$N$ convergence to the collision-free critical set, a particle-to-continuum criticality principle, and a modulated-energy mean-field estimate that yields convergence of the particle dynamics to the continuum flow as $N\to\infty$ on every finite time interval. We also construct collision-free saddle equilibria, showing that deterministic particle trajectories need not approach global empirical minimizers. For $1\le q<2$, every continuum solution in our class has a narrowly relatively compact orbit, every $ω$-limit point is Lagrangian critical, and the orbit approaches the Lagrangian critical set. For $0<q<1$, the same conclusions hold under uniform-in-time moment and subcritical $L^p$ bounds. We prove that an absolutely continuous Lagrangian critical point equals the target when the source and target have finite moments of order $q$, except when $0<q<1$ and $d\in\{1,3\}$. Under the preceding uniform bounds, rigidity gives convergence of the continuum flow to the target throughout the rigid part of the well-posedness range. Finally, we show that no initial-data-independent multiplicative MMD decay modulus exists on $\mathbb{R}^d$, and that global Polyak--Łojasiewicz inequalities fail in several whole-space and periodic Riesz/Coulomb regimes.
Problem

Research questions and friction points this paper is trying to address.

Wasserstein gradient flow
Maximum Mean Discrepancy
energy kernels
nonconvex energy
particle systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

Wasserstein gradient flow
Maximum Mean Discrepancy
energy kernels
modulated energy
nonconvex interaction
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