Sharp lower bound for the Monge-Amp\`ere torsion on convex sets
Francesco Salerno

TL;DR
This paper establishes a sharp lower bound for the Monge-Ampère torsion deficit in convex sets, linking it to geometric deficits and demonstrating bounds that depend only on the dimension.
Contribution
It introduces a novel lower bound for the Monge-Ampère torsion deficit using shape derivatives, connecting it to the Alexandrov-Fenchel inequality.
Findings
The ratio between the torsion deficit and the geometric deficit is bounded from below by a dimension-dependent constant.
The ratio is also bounded from above by a universal constant.
The results hold for smooth convex sets converging to a ball in ^n.
Abstract
The \emph{Monge-Amp\`ere} torsion deficit of an open, bounded convex set of class is the normalized gap between the value of the torsion functional evaluated on and its value on the ball with the same -quermassintegral as . Using the technique of the \emph{shape derivative}, we prove that the ratio between this deficit and to a geometric deficit arising from the \emph{Alexandrov-Fenchel inequality}, for any given family of open, bounded convex sets of () of class , smoothly converging to a ball, is bounded from below by a dimensional constant. We also show that this ratio is always bounded from above by a constant.
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Taxonomy
TopicsGeometry and complex manifolds · Geometric Analysis and Curvature Flows · Nonlinear Partial Differential Equations
