Heintze-Karcher and Reverse Alexandrov-Fenchel Inequalities via Focal Geometry
Kwok-kun Kwong, Scott Parkins, Glen Wheeler

TL;DR
The paper establishes reverse Alexandrov-Fenchel inequalities across various geometries, linking deficits to curvature data and focal maps, and provides explicit identities and inequalities for convex curves and hypersurfaces.
Contribution
It introduces new reverse inequalities in anisotropic, Euclidean, spherical, and hyperbolic geometries, unifying curvature and focal geometry concepts with sharp bounds and identities.
Findings
Proved reverse Alexandrov-Fenchel inequalities in multiple geometries.
Derived a sharp reverse isoperimetric inequality for curves on spheres.
Connected isoperimetric deficits with Euclidean curvature and focal map volumes.
Abstract
We prove a collection of reverse Alexandrov-Fenchel type inequalities in anisotropic, Euclidean, spherical, and hyperbolic settings. The unifying principle is that the relevant deficit is controlled by curvature radius data, or equivalently by the signed volume of an associated evolute or focal map. For smooth simple strictly convex curves in a smooth Minkowski plane we prove an anisotropic Hurwitz-type inequality: the anisotropic isoperimetric deficit is bounded above by the signed Euclidean area of the Minkowski evolute. For smooth closed strictly convex hypersurfaces in , with denoting the normalised -th mean curvature, we establish the sharp reverse Alexandrov-Fenchel estimate \[ 0\le \frac{1}{|\mathbb S^{n}|} \left(\int_{M}E_{n-1}\,d\mu\right)^{2} -\int_{M}E_{n-2}\,d\mu \le \frac{n}{2(n+1)} \int_{M}\frac{E_{n-1}^{2}-E_{n-2}E_{n}}{E_{n}}\,d\mu . \] We…
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