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20242026
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10 papers · 1 filter

math.CA2026

Spectral synthesis with the complexity parameter

S. Deodhar, A. Iosevich

We show that spectral synthesis thresholds are governed by a quantitative spectral complexity parameter, the Fourier Ratio, in addition to the geometric size of the Fourier support…

math.CA2026

Spectral synthesis on Riemannian manifolds

A. Iosevich, A. Mayeli, E. Wyman

We study spectral synthesis for measures supported on thin subsets of compact Riemannian manifolds. We prove that under natural non-concentration conditions, such measures admit qu…

math.CA2026

Discretization, sampling, and the Fourier ratio

A. Iosevich, E. Palsson, A. Yavicoli

We derive fundamental sampling bounds for smooth signals in continuous settings without sparsity assumptions. By introducing the Fourier ratio as a measure of spectral compressibil…

math.CA2026

The Fourier Ratio: A Unifying Measure of Complexity for Recovery, Localization, and Learning

Will Burstein, Alex Iosevich, Hari Sarang Nathan

We introduce a generalized Fourier ratio, the \(\ell^1/\ell^2\) norm ratio of coefficients in an \emph{arbitrary} orthonormal system, as a single, basis-invariant measure of \emph{…

math.CA2025

The Fourier Ratio and complexity of signals

K. Aldaleh, W. Burstein, G. Garza +12

We study the Fourier ratio of a signal , \[ \mathrm{FR}(f)\ :=\ \sqrt{N}\,\frac{\|\widehat f\|_{L^1(μ)}}{\|\widehat f\|_{L^2(μ)}} \ =\ \frac{\|\widehat f…

math.CA2025

Orlicz spaces and the uncertainty principle

A. Iosevich, I. Li, Z. Li +1

Let be a finite signal. The classical uncertainty principle tells us that the product of the support of and the support of , the Fourier transform of , must sat…

math.CA2025

On spectral synthesis in

P. Bhowmik, S. Deodhar, A. Iosevich

A classical result due to Agranovsky and Narayanan (\cite{AN04}) says that if the support of the Fourier transform of is carried by a smooth meas…

math.CA2025

Fourier minimization and imputation of time series

Will Burstein, Alex Iosevich, Azita Mayeli +1

One of the most common procedures in modern data analytics is filling in missing values in times series. For a variety of reasons, the data provided by clients to obtain a forecast…

math.CA2025

Uncertainty Principle, annihilating pairs and Fourier restriction

Philippe Jaming, Alexander Iosevich, Azita Mayeli

Let be a locally compact abelian group, and let denote its dual group, equipped with a Haar measure. A variant of the uncertainty principle states that for any $S…

math.CA2024

Effective support, Dirac combs, and signal recovery

G. Garza, K. Gurevich, A. Iosevich +3

Let be a signal with the Fourier transform . A classical result due to Matolcsi and Szucs (\cite{MS73}), and…