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<title>Daniel Tataru — Neckpinch</title><link>https://neckpinch.com/authors/daniel-tataru/</link><description>New arXiv papers by Daniel Tataru, from Neckpinch</description>
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<item><title>Local well-posedness of the skew mean curvature flow for large data</title><link>https://arxiv.org/abs/2512.21634</link><guid isPermaLink="false">arxiv:2512.21634</guid><pubDate>Thu, 25 Dec 2025 00:00:00 GMT</pubDate><description>Jiaxi Huang, Daniel Tataru — The skew mean curvature flow is an evolution equation for d dimensional ma\-nifolds embedded in ℝ^(d+2) (or more generally, in a Riemannian manifold). It can be viewed as a Schrödinger analogue of the mean curvature flow, or alternatively as a quasilinear version of the Schrödinger Map equation. In this article, we prove large data local well-posedness in low-regularity Sobolev spaces for the skew mean curvature flow in dimension d≥ 2. This is achieved by introducing several new ideas: (i) a time discretization method to establish the existence of smooth solutions, (ii) constructing the orthonormal frame by a parallel transport method and a lifting criterion, (iii) introducing intrinsic fractional function spaces X^s⊂ H^s on a noncompact manifold for any s&gt;d/2, such that the X^s-norm of the second fundamental form can be propagated well along the quasilinear Schrödinger flow, (iv) deriving a difference equation to prove the uniqueness result for solutions F∈ C², which is independent in the choices of gauge. Our method turns out to be more robust for large data problem.</description><category>Mean curvature flow</category><category>Stability &amp; uniqueness</category><category>Boundaries &amp; non-compact</category></item>
<item><title>Global regularity of Skew mean curvature flow for small data in d≥ 4 dimensions</title><link>https://arxiv.org/abs/2209.08941</link><guid isPermaLink="false">arxiv:2209.08941</guid><pubDate>Mon, 19 Sep 2022 00:00:00 GMT</pubDate><description>Jiaxi Huang, Ze Li, Daniel Tataru — The skew mean curvature flow is an evolution equation for a d dimensional manifold immersed into ℝ^(d+2), and which moves along the binormal direction with a speed proportional to its mean curvature. In this article, we prove small data global regularity in low-regularity Sobolev spaces for the skew mean curvature flow in dimensions d≥ 4. This extends the local well-posedness result in.</description><category>Mean curvature flow</category></item>
<item><title>Local well-posedness of the Skew mean curvature flow for small data in d≥ 2 dimensions</title><link>https://arxiv.org/abs/2202.10632</link><guid isPermaLink="false">arxiv:2202.10632</guid><pubDate>Tue, 22 Feb 2022 00:00:00 GMT</pubDate><description>Jiaxi Huang, Daniel Tataru — The skew mean curvature flow is an evolution equation for d dimensional manifolds embedded in ℝ^(d+2) (or more generally, in a Riemannian manifold). It can be viewed as a Schrödinger analogue of the mean curvature flow, or alternatively as a quasilinear version of the Schrödinger Map equation. In an earlier paper, the authors introduced a harmonic/Coulomb gauge formulation of the problem, and used it to prove small data local well-posedness in dimensions d ≥ 4. In this article, we prove small data local well-posedness in low-regularity Sobolev spaces for the skew mean curvature flow in dimension d≥ 2. This is achieved by introducing a new, heat gauge formulation of the equations, which turns out to be more robust in low dimensions.</description><category>Mean curvature flow</category></item>
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