Hierarchical construction of bounded solutions in critical regularity spaces

TL;DR

This paper develops a hierarchical, multiscale method to construct uniformly bounded solutions for divergence and curl equations in critical regularity spaces, overcoming linear solution limitations in these contexts.

Contribution

It introduces a novel hierarchical framework for solving linear equations in critical spaces, using recursive minimization and multiscale decomposition.

Findings

Constructed solutions are uniformly bounded in critical spaces.

Framework applies to a broad class of linear operators with closed range.

Hierarchical solutions overcome linear solution limitations in critical regularity.

Abstract

We construct uniformly bounded solutions for the equations $\text{div}\, U=f$ and $\text{curl}\, U=F$ in the critical cases $f \in L^d(T^d,R)$, and respectively, $F \in L^3(T^3,R^3)$. Criticality in this context, manifests itself by the lack of linear solution operator mapping $L^d$ to $L^\infty(T^d)$, Bourgain & Brezis \cite{BB03,BB07}. Thus, the intriguing aspect here is that although the problems are linear, the construction of their solution is not. Our constructions are special cases of a general framework for solving linear equations of the form $T\, U=f$, where $T$ is a linear operator densely defined in Banach space $B$ with a closed range in a (proper subspace) of Lebesgue space $L^p(\Omega)$, and with an injective dual $T^*$. The solutions are realized in terms of a multiscale {\em hierarchical representation}, $U=\sum_{j=1}^\infty u_j$, interesting for its own sake. Here, the $u_j$'s are constructed recursively as minimizers of $u_{j+1} = \text{arginf}_{u}{|u|_B+\lambda_{j+1} |r_j-T u |^p_{L^p}}$, where the residuals $r_j:=f- T (\sum^j_{k=1} u_k)$ are resolved in terms of a dyadic sequence of scales $\lambda_{j+1} =\lambda_1 2^j$ with sufficiently large $\lambda_1$. The nonlinear aspect of this construction is a counterpart of the fact that one cannot linearly solve $T U =f$ in critical spaces.