Publications
Preprints
Getter, Max; Trapasso, S. Ivan
The stability landscape in wave-packet scattering: geometric rigidity and sharp Sobolev thresholds Preprint
2026.
Abstract | Links | BibTeX | Tags: deformation stability, harmonic analysis, machine learning, microlocal analysis, multiscale analysis, scattering transform
@workingpaper{GT_2026,
title = {The stability landscape in wave-packet scattering: geometric rigidity and sharp Sobolev thresholds},
author = {Max Getter and S. Ivan Trapasso},
url = {https://arxiv.org/abs/2607.21578, arXiv},
year = {2026},
date = {2026-07-24},
urldate = {2026-07-24},
abstract = {A central challenge in modern harmonic analysis is to quantify the balance between the approximation power of finely resolved multiscale representations and their robustness to nonlinear changes of coordinates, a problem arising naturally in signal processing and partial differential equations. Motivated by Mallat's pioneering results on the wavelet scattering transform, we identify a sharp resolution--robustness trade-off for scattering-type nonlinear multiscale representations built upon general wave-packet systems, showing that stability under small diffeomorphisms is governed by the geometry of the underlying frequency decomposition. In particular, for wave-packet systems with finer transverse resolution than wavelets, including curvelets and shearlets, we establish a geometric rigidity phenomenon: arbitrarily small, smooth, compactly supported deformations can move high-frequency mass across adjacent channels, leading to instability already at the first scattering layer. We complement this obstruction by identifying the sharp Sobolev threshold for deformation stability: below the critical regularity no Mallat-type estimate can hold, while at and above it stability is recovered by means of matched commutator bounds that allow deformations to be propagated through the frequency channels. Together, these results provide a systematic deformation-stability theory for Euclidean scattering transforms and yield the first stability estimates intrinsic to the scattering architecture beyond the classical wavelet setting.},
keywords = {deformation stability, harmonic analysis, machine learning, microlocal analysis, multiscale analysis, scattering transform},
pubstate = {published},
tppubtype = {workingpaper}
}
Book chapters
Rodino, Luigi; Trapasso, S. Ivan
An introduction to the Gabor wave front set Book chapter
In: Anomalies in Partial Differential Equations, pp. 369–393, Springer, Cham, 2021.
Abstract | Links | BibTeX | Tags: Gabor analysis, microlocal analysis, time-frequency analysis, wave front sets
@incollection{RT_INDAM_21,
title = {An introduction to the Gabor wave front set},
author = {Luigi Rodino and S. Ivan Trapasso},
url = {https://arxiv.org/abs/2004.01290, arXiv},
doi = {10.1007/978-3-030-61346-4_17},
year = {2021},
date = {2021-02-01},
urldate = {2021-02-01},
booktitle = {Anomalies in Partial Differential Equations},
pages = {369–393},
publisher = {Springer, Cham},
abstract = {In this expository note we present an introduction to the Gabor wave front set. As is often the case, this tool in microlocal analysis has been introduced and reinvented in different forms which turn out to be equivalent or intimately related. We provide a short review of the history of this notion and then focus on some recent variations inspired by function spaces in time-frequency analysis. Old and new results are presented, together with a number of concrete examples and applications to the problem of propagation of singularities.},
keywords = {Gabor analysis, microlocal analysis, time-frequency analysis, wave front sets},
pubstate = {published},
tppubtype = {incollection}
}
Edited volumes
Cordero, Elena; Trapasso, S. Ivan (Ed.)
Microlocal and Time-Frequency Analysis Edited volume
MDPI, Basel, 2022, ISBN: 978-3-0365-3173-1.
Abstract | Links | BibTeX | Tags: microlocal analysis, pseudodifferential operators, time-frequency analysis, wave front sets
@collection{CT_M_22,
title = {Microlocal and Time-Frequency Analysis},
editor = {Elena Cordero and S. Ivan Trapasso},
url = {https://mdpi-res.com/bookfiles/book/5000/Microlocal_and_TimeFrequency_Analysis.pdf, PDF
https://www.mdpi.com/journal/mathematics/special_issues/time-frequency-analysis, Special Issue details},
doi = {10.3390/books978-3-0365-3172-4},
isbn = {978-3-0365-3173-1},
year = {2022},
date = {2022-02-01},
urldate = {2022-02-01},
publisher = {MDPI, Basel},
abstract = {Printed edition of the Special Issue "Microlocal and Time-Frequency Analysis" published in Mathematics.},
keywords = {microlocal analysis, pseudodifferential operators, time-frequency analysis, wave front sets},
pubstate = {published},
tppubtype = {collection}
}