3DNavier–StokesGlobalRegularityviaEigen-Gap CarlesonPackingandDirectionalPacketAnalysis

This paper takes a new approach to the three-dimensional incompressible Navier–Stokes equations by introducing a directional decomposition of the vorticity that aligns with the actual geometry of the flow. Instead of analyzing the solution purely through frequency-based methods, the authors define scale-localized packets that also respect the dominant stretching direction at each point. This refinement allows them to isolate where the flow is truly active and track how energy moves across scales and directions. The method builds a per-scale energy balance for each directional packet, accounting for both nonlinear effects and the influence of variable geometry. The key idea is that in regions where the flow becomes complicated—where the dominant stretching direction breaks down—the geometry forces those regions to be sparse in space-time. The paper quantifies this sparsity using analytic sublevel estimates and a Carleson packing argument, ensuring these bad regions can't accumulate to cause a singularity. By summing the energy balances across scales with explicit weights, the authors derive a differential inequality—referred to as the ledger—which controls the total directional energy. Once it is shown that this ledger remains bounded over time, a classical endpoint inequality converts that control into a bound on the maximum vorticity. From this, global smoothness and uniqueness follow for all finite-energy initial data. The argument avoids common bootstrapping techniques and does not rely on conditional regularity criteria. All parameters and constants are tracked explicitly, and no steps are deferred or left unproven. What emerges is a self-contained mechanism that remains stable for all time, yielding smooth solutions unconditionally, pending full peer review.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-07
DOI
https://doi.org/10.5281/zenodo.17547746
Primary Topic
Navier-Stokes equation solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3DNavier–StokesGlobalRegularityviaEigen-Gap CarlesonPackingandDirectionalPacketAnalysis

Zenodo (CERN European Organization for Nuclear Research)
Navier-Stokes equation solutions
article

3DNavier–StokesGlobalRegularityviaEigen-Gap CarlesonPackingandDirectionalPacketAnalysis

article en

Abstract

This paper takes a new approach to the three-dimensional incompressible Navier–Stokes equations by introducing a directional decomposition of the vorticity that aligns with the actual geometry of the flow. Instead of analyzing the solution purely through frequency-based methods, the authors define scale-localized packets that also respect the dominant stretching direction at each point. This refinement allows them to isolate where the flow is truly active and track how energy moves across scales and directions. The method builds a per-scale energy balance for each directional packet, accounting for both nonlinear effects and the influence of variable geometry. The key idea is that in regions where the flow becomes complicated—where the dominant stretching direction breaks down—the geometry forces those regions to be sparse in space-time. The paper quantifies this sparsity using analytic sublevel estimates and a Carleson packing argument, ensuring these bad regions can't accumulate to cause a singularity. By summing the energy balances across scales with explicit weights, the authors derive a differential inequality—referred to as the ledger—which controls the total directional energy. Once it is shown that this ledger remains bounded over time, a classical endpoint inequality converts that control into a bound on the maximum vorticity. From this, global smoothness and uniqueness follow for all finite-energy initial data. The argument avoids common bootstrapping techniques and does not rely on conditional regularity criteria. All parameters and constants are tracked explicitly, and no steps are deferred or left unproven. What emerges is a self-contained mechanism that remains stable for all time, yielding smooth solutions unconditionally, pending full peer review.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 33%
Navier-Stokes equation solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.