On the Distributional Hessian of the Distance Function
arXiv:1303.1421 · doi:10.2140/pjm.2014.270.151
Abstract
We describe the precise structure of the distributional Hessian of the distance function from a point of a Riemannian manifold. In doing this we also discuss some geometrical properties of the cutlocus of a point and we compare some different weak notions of Hessian and Laplacian.
References in corpus (1)
Cited by in corpus (11)
- New formulas for the Laplacian of distance functions and applications
- Duality between Ahlfors-Liouville and Khas'minskii properties for nonlinear equations
- Non-negative Ricci curvature and Minimal graphs with linear growth
- Ancient solutions of superlinear heat equations on Riemannian manifolds
- Statistical models and probabilistic methods on Riemannian manifolds
- Monopoles and foliations without holonomy-invariant transverse measure
- Small curvature concentration and Ricci flow smoothing
- Laplacian of the distance function on the cut locus on a riemannian manifold
- Ricci flow under local almost non-negative curvature conditions
- The Wasserstein geometry of non-linear sigma models and the Hamilton-Perelman Ricci flow
- Scalar curvature lower bound under integral convergence