The Talenti comparison result in a quantitative form
Vincenzo Amato, Rosa Barbato, Alba Lia Masiello, Gloria Paoli

TL;DR
This paper provides a quantitative version of Talenti's classical comparison result for elliptic problems, utilizing enhanced inequalities to measure the differences explicitly.
Contribution
It introduces a quantitative form of Talenti's comparison theorem, advancing the understanding of elliptic problem solutions through precise inequality estimates.
Findings
Quantitative bounds for elliptic problem solutions
Enhanced Pólya-Szegő and Hardy-Littlewood inequalities
Explicit comparison metrics for elliptic PDEs
Abstract
In this paper, we obtain a quantitative version of the classical comparison result of Talenti for elliptic problems with Dirichlet boundary conditions. The key role is played by quantitative versions of the P\'olya-Szego inequality and of the Hardy-Littlewood inequality.
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Taxonomy
TopicsAI-based Problem Solving and Planning · Reinforcement Learning in Robotics
