English

A sparse resolution of the DiPerna-Majda gap problem for $2$D Euler equations

Analysis of PDEs 2024-09-05 v1 Functional Analysis

Abstract

A central question which originates in the celebrated work in the 1980's of DiPerna and Majda asks what is the optimal decay f>0f > 0 such that uniform rates ω(Q)f(Q)|\omega|(Q) \leq f(|Q|) of the vorticity maximal functions guarantee strong convergence without concentrations of approximate solutions to energy-conserving weak solutions of the 22D Euler equations with vortex sheet initial data. A famous result of Majda (1993) shows f(r)=[log(1/r)]1/2f(r) = [\log (1/r)]^{-1/2}, r<1/2r<1/2, as the optimal decay for \emph{distinguished} sign vortex sheets. In the general setting of \emph{mixed} sign vortex sheets, DiPerna and Majda (1987) established f(r)=[log(1/r)]αf(r) = [\log (1/r)]^{-\alpha} with α>1\alpha > 1 as a sufficient condition for the lack of concentrations, while the expected gap α(1/2,1]\alpha \in (1/2, 1] remains as an open question. In this paper we resolve the DiPerna-Majda 22D gap problem: In striking contrast to the well-known case of distinguished sign vortex sheets, we identify f(r)=[log(1/r)]1f(r) = [\log (1/r)]^{-1} as the optimal regularity for mixed sign vortex sheets that rules out concentrations. For the proof, we propose a novel method to construct explicitly solutions with mixed sign to the 22D Euler equations in such a way that wild behaviour creates within the relevant geometry of \emph{sparse} cubes (i.e., these cubes are not necessarily pairwise disjoint, but their possible overlappings can be controlled in a sharp fashion). Such a strategy is inspired by the recent work of the first author and Milman \cite{DM} where strong connections between energy conservation and sparseness are established.

Cite

@article{arxiv.2409.02344,
  title  = {A sparse resolution of the DiPerna-Majda gap problem for $2$D Euler equations},
  author = {Oscar Domínguez and Daniel Spector},
  journal= {arXiv preprint arXiv:2409.02344},
  year   = {2024}
}

Comments

24 pages

R2 v1 2026-06-28T18:33:23.688Z