English

Stability Estimates for the $k$-plane Transform on Measures and a H\"older-Type Comparison Between Wasserstein and Max-Sliced Wasserstein Distances

Functional Analysis 2026-05-04 v1 Probability

Abstract

We establish stability estimates for the kk-plane transform on positive Radon measures, with particular emphasis on Fourier and Wasserstein metrics. We first introduce a metric on kk-plane data and prove a bi-Lipschitz stability estimate showing that this metric is equivalent to a generalized Fourier metric obtained by combining the d2d_2-distance between centered normalized measures with separate terms accounting for differences in barycenter and total mass. Next, building on a H\"older-type comparison between Fourier and Wasserstein metrics due to Carrillo and Toscani, we prove an analogous estimate for positive Radon measures under uniform bounds on centered moments of order slightly higher than 22. As a consequence, we obtain a H\"older-type stability estimate for the kk-plane transform in terms of a generalized 22-Wasserstein distance. For centered probability measures, this yields a H\"older stability estimate in the 22-Wasserstein distance W2W_2. We also study the relation between W2W_2 and its max-sliced analogue. For centered probability measures with uniformly bounded moments of order slightly higher than 22, we prove a two-sided H\"older-type comparison between W2W_2 and max-sliced W2W_2. We then extend this comparison to positive Radon measures by combining the corresponding estimate for centered normalized measures with separate terms accounting for differences in barycenter and total mass. Finally, for absolutely continuous compactly supported probability measures with bounded densities, we obtain a strong equivalence between the 22-Wasserstein distance of the measures and the (k/21)(k/2-1)-order Sobolev norm of the kk-plane data of the difference of their densities.

Keywords

Cite

@article{arxiv.2605.00375,
  title  = {Stability Estimates for the $k$-plane Transform on Measures and a H\"older-Type Comparison Between Wasserstein and Max-Sliced Wasserstein Distances},
  author = {Fatma Terzioglu and Ryan Murray},
  journal= {arXiv preprint arXiv:2605.00375},
  year   = {2026}
}