English

Gradient Estimates on Dirichlet Eigenfunctions

Probability 2018-08-14 v3

Abstract

By methods of stochastic analysis on Riemannian manifolds, we derive explicit constants c_1(D)c\_1(D) and c_2(D)c\_2(D) for a dd-dimensional compact Riemannian manifold DD with boundary such that c_1(D)λϕ_ϕ_c_2(D)λϕ_c\_1(D)\sqrt{\lambda}\|\phi\|\_\infty \le \|\nabla \phi\|\_\infty\le c\_2(D)\sqrt{\lambda} \|\phi\|\_\infty holds for any Dirichlet eigenfunction ϕ\phi of Δ-\Delta with eigenvalue λ\lambda. In particular, when DD is convex with nonnegative Ricci curvature, this estimate holds for c_1(D)=1dec\_1(D)=\frac{1}{de} and c_2(D)=e(2π+π42)c\_2(D)=\sqrt{e}\left(\frac{\sqrt{2}}{\sqrt{\pi}}+\frac{\sqrt{\pi}}{4\sqrt{2}}\right). Corresponding two-sided gradient estimates for Neumann eigenfunctions are derived in the second part of the paper.

Keywords

Cite

@article{arxiv.1710.10832,
  title  = {Gradient Estimates on Dirichlet Eigenfunctions},
  author = {Marc Arnaudon and Anton Thalmaier and Feng-Yu Wang},
  journal= {arXiv preprint arXiv:1710.10832},
  year   = {2018}
}