Resolution of the wavefront set using general continuous wavelet transforms

TL;DR

This paper develops a unified framework to characterize the wavefront set of tempered distributions using continuous wavelet transforms with various dilation groups, enabling both single and multiple wavelet characterizations across dimensions.

Contribution

It introduces conditions on the dilation group's dual action, allowing comprehensive wavefront set characterizations for a wide class of groups including similitude, diagonal, and shearlet groups.

Findings

Wavefront set characterized via rapid decay of wavelet coefficients.

Single wavelet suffices for shearlet groups in any dimension.

Conditions verified for key dilation groups like similitude, diagonal, and shearlet.

Abstract

We consider the problem of characterizing the wavefront set of a tempered distribution $u\in\mathcal{S}'(\mathbb{R}^{d})$ in terms of its continuous wavelet transform, where the latter is defined with respect to a suitably chosen dilation group $H\subset{\rm GL}(\mathbb{R}^{d})$. In this paper we develop a comprehensive and unified approach that allows to establish characterizations of the wavefront set in terms of rapid coefficient decay, for a large variety of dilation groups. For this purpose, we introduce two technical conditions on the dual action of the group $H$, called microlocal admissibilty and (weak) cone approximation property. Essentially, microlocal admissibilty sets up a systematical relationship between the scales in a wavelet dilated by $h\in H$ on one side, and the matrix norm of $h$ on the other side. The (weak) cone approximation property describes the ability of the wavelet system to adapt its frequency-side localization to arbitrary frequency cones. Together, microlocal admissibility and the weak cone approximation property allow the characterization of points in the wavefront set using multiple wavelets. Replacing the weak cone approximation by its stronger counterpart gives access to single wavelet characterizations. We illustrate the scope of our results by discussing -- in any dimension $d\ge2$ -- the similitude, diagonal and shearlet dilation groups, for which we verify the pertinent conditions. As a result, similitude and diagonal groups can be employed for multiple wavelet characterizations, whereas for the shearlet groups a single wavelet suffices. In particular, the shearlet characterization (previously only established for $d=2$) holds in arbitrary dimensions.