Close the strip: type-I Navier-Stokes blowup and the direction-regularity exponent in [-1/2, 0]
Close the strip: type-I Navier-Stokes blowup and the direction-regularity exponent in [-1/2, 0]
Setting. For a Navier-Stokes velocity field with vorticity , direction , and peak set (the high-vorticity region), define the scale-invariant direction-regularity observable
Under the Navier-Stokes rescaling one has and , so is invariant and is a pure number.
What is known. (i) Unconditionally, from Constantin's decomposition of the vorticity equation into magnitude and direction: at any growing spatial maximum of , the Laplacian term is nonpositive, hence there, where is the stretching rate. (ii) Qualitatively, under a type-I condition, direction continuity where vorticity is large excludes blowup (Giga-Miura 2011; Barker-Prange 2020 in the half-space with no-slip boundary). (iii) Quantified, conditional on a coherence hypothesis (H) (the peak set is a single coherent structure on which the near-field gradient bound holds out to the optimizing radius; measured constant ): splitting the Biot-Savart kernel at radius and optimizing gives
and feeding the energy dissipation identity with a type-I rate , : at geometric depletion begins to act, and excludes type-I blowup by geometry and energy alone.
The problem: close the strip . The corollary in (i) forbids the top under viscosity at a growing maximum; the conditional chain in (iii) supplies the bottom. Concretely:
(a) Establish the bound in (iii), or any bound sufficient for the exclusion, without Hypothesis (H), or exhibit the coherence-violating peak structure that defeats it.
(b) Show that a type-I singular solution cannot sustain as . With (a) and the endpoint corollary, type-I Navier-Stokes blowup is finished for this route.
Measured motivation. On the inviscid Luo-Hou corner flow, where blowup is proven in the Boussinesq analogue by Chen-Hou, the exponent calibrates at (full window; window-matched deep anchor on two grids). Under free-slip viscosity the deep-collapse exponent inverts to at , with no resolved -dependence at five tested viscosities down to . The measured mechanism sits below the strip at every tested viscosity. Measurement details, calibration, instrument checks, and the retraction record are in the referenced pages; the measurements are AI-assisted with a Leiden-format disclosure.
Progress summary
No public proof, counterexample, or claimed solution has been found for this problem.
The scanned literature contains relevant geometric regularity criteria for Navier–Stokes, including qualitative exclusion of type-I blowup under direction continuity, but nothing addressing the observable, the exponent strip, Hypothesis (H), or the proposed Biot–Savart estimate. No published progress or public resolution of this exact problem was found.
Current status (as of August 2026): The problem appears open, with no recorded proof, counterexample, or claimed resolution of the strip-closing questions.
Sources & referencesView supporting material
References
P. Constantin, Geometric statistics in turbulence, SIAM Review 36 (1994) P. Constantin, C. Fefferman, Direction of vorticity and the problem of global regularity for the Navier-Stokes equations, Indiana Univ. Math. J. 42 (1993) H. Beirao da Veiga, L. C. Berselli, On the regularizing effect of the vorticity direction, Diff. Int. Eq. 15 (2002) Y. Giga, H. Miura, On vorticity directions near singularities for the Navier-Stokes flows with infinite energy, Comm. Math. Phys. 303 (2011) T. Barker, C. Prange, Localized smoothing for the Navier-Stokes equations and concentration of critical norms near singularities, ARMA 235 (2020). https://arxiv.org/abs/1906.08225 G. Luo, T. Y. Hou, Toward the finite-time blowup of the 3D axisymmetric Euler equations, PNAS 111(36) (2014) J. Chen, T. Y. Hou, https://arxiv.org/abs/2210.07191 J. Chen, T. Y. Hou, https://arxiv.org/abs/2305.05660 J. Hill, sigma_Lambda measurement and calibration. https://epagoge.github.io/parzival/sigma/ J. Hill, viscosity dependence and trigger location. https://epagoge.github.io/parzival/sigma2/
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