Pointwise and Weighted Hessian Estimates for Kolmogorov-Fokker-Planck type operators
Abhishek Ghosh, Vivek Tewary

TL;DR
This paper establishes sharp Hessian estimates for Kolmogorov-Fokker-Planck operators in various Banach spaces using advanced harmonic analysis techniques, providing new quantitative bounds.
Contribution
It introduces a novel approach employing sparse domination techniques to derive Hessian estimates for these operators in non-divergence form.
Findings
Sharp Hessian estimates in weighted Lebesgue spaces
Representation formula and sparse domination methods
Quantitative bounds for Kolmogorov-Fokker-Planck operators
Abstract
In this article, we obtain hessian estimates for Kolmogorov-Fokker-Planck operators in non-divergence form in several Banach function spaces. Our approach relies on a representation formula and newly developed sparse domination techniques in Harmonic Analysis. Our result when restricted to weighted Lebesgue spaces yields sharp quantitative hessian estimates for the Kolmogorov-Fokker-Planck operators.
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Stochastic processes and financial applications · Geometric Analysis and Curvature Flows
