Directional square functions and a sharp Meyer lemma

TL;DR

This paper introduces a new framework for sharp square function estimates related to directional singular integrals, improving bounds for Meyer lemmas and Fourier restriction problems using time-frequency analysis.

Contribution

It develops a novel approach based on Carleson embeddings and multi-parameter analysis to achieve sharp bounds for Meyer lemmas and related operators.

Findings

Proved sharp operator norm bounds for vector-valued directional singular integrals.

Improved quantification of reverse square function estimates on the circle.

Established new bounds for Fourier restriction to polygons.

Abstract

Quantitative formulations of Fefferman's counterexample for the ball multiplier are naturally linked to square function and vector-valued estimates for directional singular integrals. The latter are usually referred to as Meyer-type lemmas and are traditionally attacked by combining weighted inequalities with sharp estimates for maximal directional averaging operators. This classical approach fails to give sharp bounds. In this article we develop a novel framework for square function estimates, based on directional Carleson embedding theorems and multi-parameter time-frequency analysis, which overcomes the limitations of weighted theory. In particular we prove the sharp form of Meyer's lemma, namely a sharp operator norm bound for vector-valued directional singular integrals, in both one and two parameters, in terms of the cardinality of the given set of directions. Our sharp Meyer lemma implies an improved quantification of the reverse square function estimate for tangential $\delta\times \delta^2$-caps on $\mathbb S^1$. We also prove sharp square function estimates for conical and radial multipliers. A suitable combination of these estimates yields a new and currently best known bound for the Fourier restriction to a $N$-gon, improving on previous results of A. C\'ordoba.