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A Sharp Li-Yau gradient bound on Compact Manifolds

Differential Geometry 2024-12-31 v3 Analysis of PDEs

Abstract

Let (\Mn,g)(\M^n, g) be a nn dimensional, complete ( compact or noncompact) Riemannian manifold whose Ricci curvature is bounded from below by a constant K0-K \le 0. Let uu be a positive solution of the heat equation on \Mn×(0,)\M^n \times (0, \infty). The well known Li-Yau gradient bound states that t(u2u2α\patuu)nα22+tnα2K2(α1),α>1,t>0. t \left(\frac{|\nabla u|^2}{u^2} - \alpha\frac{\pa_t u}{u}\right) \leq \frac{n\alpha^2}{2} + t \frac{n\alpha^2K}{2(\alpha-1)},\quad \forall \alpha>1, t>0. The bound with α=1\alpha =1 is sharp if K=0K=0. If K<0-K < 0, the bound tends to infinity if α=1\alpha=1. In over 30 years, several sharpening of the bounds have been obtained with α\alpha replaced by several functions α=α(t)>1\alpha=\alpha(t)>1 but not equal to 11. An open question (\cite{CLN}, \citeLX} etc) asks if a sharp bound can be reached. In this short note, we observe that for all complete compact manifolds one can take α=1\alpha=1. Thus a sharp bound, up to computable constants, is found in the compact case. This result also seems to sharpen Theorem 1.4 in \cite{LY} for compact manifolds with convex boundaries. In the noncompact case one can not take α=1\alpha=1 even for the hyperbolic space. An example is also given, which shows that there does not exist an optimal function of time only α=α(t)\alpha=\alpha(t) for all noncompact manifolds with Ricci lower bound, giving a negative answer to the open question in the noncompact case.

Keywords

Cite

@article{arxiv.2110.08933,
  title  = {A Sharp Li-Yau gradient bound on Compact Manifolds},
  author = {Qi S. Zhang},
  journal= {arXiv preprint arXiv:2110.08933},
  year   = {2024}
}

Comments

10 pages; An example is added, which shows that there does not exist an optimal function of time only $\alpha=\alpha(t)$ for all noncompact manifolds with Ricci lower bound, giving a negative answer to the open question in the noncompact case. to appear in Communications in Analysis and Geometry

R2 v1 2026-06-24T06:57:36.639Z