Resolution of the Wavefront Set Using General Continuous Wavelet Transforms

We consider the problem of characterizing the wavefront set of a tempered distribution u ∈ S ′ ( R d ) in terms of its continuous wavelet transform, where the latter is defined with respect to a suitably chosen dilation group H ⊂ GL ( R d ) . In this paper we develop a comprehensive and unified appr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of fourier analysis and applications 2016-10, Vol.22 (5), p.997-1058
Hauptverfasser: Fell, Jonathan, Führ, Hartmut, Voigtlaender, Felix
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We consider the problem of characterizing the wavefront set of a tempered distribution u ∈ S ′ ( R d ) in terms of its continuous wavelet transform, where the latter is defined with respect to a suitably chosen dilation group H ⊂ GL ( 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 admissibility and (weak) cone approximation property . Essentially, microlocal admissibility sets up a systematic relationship between the scales in a wavelet dilated by h ∈ 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 rise to single wavelet characterizations. We illustrate the scope of our results by discussing—in any dimension d ≥ 2 —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.
ISSN:1069-5869
1531-5851
DOI:10.1007/s00041-015-9445-7