English

Global Well-Posedness of the 3D Navier-Stokes Equations under Multi-Level Logarithmically Improved Criteria

Analysis of PDEs 2025-04-01 v1

Abstract

This paper extends our previous results on logarithmically improved regularity criteria for the three-dimensional Navier-Stokes equations by establishing a comprehensive framework of multi-level logarithmic improvements. We prove that if the initial data u0L2(R3)u_0 \in L^2(\mathbb{R}^3) satisfies a nested logarithmically weakened condition (Δ)s/2u0Lq(R3)C0j=1n(1+Lj(u0H˙s))δj\|(-\Delta)^{s/2}u_0\|_{L^q(\mathbb{R}^3)} \leq \frac{C_0}{\prod_{j=1}^{n} (1 + L_j(\|u_0\|_{\dot{H}^s}))^{\delta_j}} for some s(1/2,1)s \in (1/2, 1), where LjL_j represents jj-fold nested logarithms, then the corresponding solution exists globally in time and is unique. The proof introduces a novel sequence of increasingly precise commutator estimates incorporating multiple layers of logarithmic corrections. We establish the existence of a critical threshold function Φ(s,q,{δj}j=1n)\Phi(s,q,\{\delta_j\}_{j=1}^n) that completely characterizes the boundary between global regularity and potential singularity formation, with explicit asymptotics as ss approaches the critical value 1/21/2. This paper further provides a rigorous geometric characterization of potential singular structures through refined multi-fractal analysis, showing that any singular set must have Hausdorff dimension bounded by 1j=1nδj1+δj1j+11 - \sum_{j=1}^n \frac{\delta_j}{1+\delta_j} \cdot \frac{1}{j+1}. Our results constitute a significant advancement toward resolving the global regularity question for the Navier-Stokes equations, as we demonstrate that with properly calibrated sequences of nested logarithmic improvements, the gap to the critical case can be systematically reduced.

Cite

@article{arxiv.2503.24029,
  title  = {Global Well-Posedness of the 3D Navier-Stokes Equations under Multi-Level Logarithmically Improved Criteria},
  author = {Rishabh Mishra},
  journal= {arXiv preprint arXiv:2503.24029},
  year   = {2025}
}