On the Distributional Hessian of the Distance Function
Carlo Mantegazza, Giovanni Mascellani, Gennady Uraltsev

TL;DR
This paper characterizes the distributional Hessian of the distance function on Riemannian manifolds, exploring geometric properties of the cutlocus and comparing various weak notions of Hessian and Laplacian.
Contribution
It provides a detailed description of the distributional Hessian of the distance function and analyzes related geometric and analytical properties.
Findings
Explicit structure of the distributional Hessian derived
Insights into the geometry of the cutlocus
Comparison of weak Hessian and Laplacian notions
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.
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