Paper · Sep 9, 2025
A gradient estimate for the linearized translator equation
As on arXiv
Abstract
In this paper, we develop some analytic foundations for the linearized translator equation in , i.e. in the first dimension where the Bernstein property fails. This equation governs how the (noncompact) singularity models of the mean curvature flow in fit together in a common moduli space. Here, we prove a gradient estimate, which gives a sharp bound for , namely for the derivative of the variation field in the tip region. This serves as a substitute for the fundamental quadratic concavity estimate from Angenent-Daskalopoulos-Sesum, which has been crucial for controlling , namely the derivative of the profile function in the tip region. Moreover, together with interior estimates by virtue of the linearized translator equation our gradient estimate implies a bound for as well. Hence, our gradient estimate also serves as substitute Hamilton's Harnack inequality, which has played an important role for controlling in the tip region.
- Submitted
- Sep 9, 2025
- Last revised
- Mar 22, 2026 (v2)
- Subjects
- math.AP, math.DG
Comments: 20 pages (v2: minor corrections)
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Background reading
The guides for the topics of this paper: what each idea is, why it matters, and the papers to read first.
In the guidebook
- 6D.5Diffusions on Manifolds and Curvature
Brownian motion on a Riemannian manifold, the Bakry–Émery calculus, curvature-dimension inequalities, gradient estimates and log-Sobolev, coupling, and Brownian motion along a Ricci flow.
- 11B.2Ancient Solutions and the Harnack Inequality
Comparing curvature across space and time.
- 12A.6𝓛-Geodesics and the Variational Formulas
Perelman's §7.1 derived line by line: the first and second variation of 𝓛-length, 𝓛-Jacobi fields, adapted fields, Hamilton's Harnack expressions, and the differential inequalities for the reduced distance.