Higher order pointwise differential for distribution
Yu-Tong Liu
TL;DR
This work extends the theory of pointwise differentials to distributions valued in a Banach space via the $\nu_{i,p}$-scale, establishing Borel regularity, Lusin-type approximation, rectifiability of the jets, and a higher-order Rademacher-type theorem. The analysis combines deformation arguments, a detailed PDE toolkit for poly-\(\mathrm{Laplacian}\) operators, and topological methods for measurability in spaces of distributions. The results unify and generalize previous work (notably by Menne) to Sobolev-type norms, enabling robust local regularity descriptions of distributional objects. The findings have implications for the geometric-measure-theoretic understanding of distributions and their higher-order jets, with potential applications to partial differential equations and variational problems.
Abstract
The notion of pointwise differentials for distributions is a way to extract local information of distributions by rescaling the distribution at a point. In this paper, we study the pointwise differentials for distributions corresponding to a negative order Sobolev functions. Our main results prove Borel regularity, Lusin approximation, rectifiability, and a Rademacher theorem for these pointwise differentials.
