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Related papers: Orlicz spaces and the uncertainty principle

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In this paper, we establish the Cowling--Price's, Hardy's and Morgan's uncertainty principles for the Opdam-Cherednik transform on modulation spaces associated with this transform. The proofs of the theorems are based on the properties of…

Functional Analysis · Mathematics 2021-05-03 Anirudha Poria

The need to Fourier transform data sets with irregular sampling is shared by various domains of science. This is the case for example in astronomy or sismology. Iterative methods have been developed that allow to reach approximate…

Numerical Analysis · Mathematics 2024-01-23 Guy Perrin

Considering the ambiguousness of the discrete-time phase retrieval problem to recover a signal from its Fourier intensities, one can ask the question: what additional information about the unknown signal do we need to select the correct…

Numerical Analysis · Mathematics 2020-02-19 Robert Beinert , Gerlind Plonka

We provide necessary and sufficient conditions for the coincidence, up to equivalence of the norms, between strong and weak Orlicz spaces. Roughly speaking, this coincidence holds true only for the so-called exponential spaces. We find also…

Functional Analysis · Mathematics 2019-01-01 Maria Rosaria Formica , Eugeny Ostrovsky

We extend Strichartz's uncertainty principle [18] from the setting of the Sobolov space W 1,2 (R) to more general Besov spaces B 1/p p,1 (R). The main result gives an estimate from below of the trace of a function from the Besov space on a…

Classical Analysis and ODEs · Mathematics 2017-02-17 Philippe Jaming , Eugenia Malinnikova

We prove new Pitt inequalities for the Fourier transforms with radial and non-radial weights using weighted restriction inequalities for the Fourier transform on the sphere. We also prove new Riemann-Lebesgue estimates and versions of the…

Functional Analysis · Mathematics 2015-09-04 Laura De Carli , Dmitriy Gorbachev , Sergey Tikhonov

In this article we investigate the Fourier series and transforms for the functions defined on the [-pi, pi]^ d or on the R^d and belonging to the (Bilateral) Grand Lebesgue Spaces. As a particular case we obtain some results about Fourier's…

Functional Analysis · Mathematics 2010-10-22 E. Ostrovsky , L. Sirota

In this paper we extend the well-known concentration -- compactness principle of P.L. Lions to Orlicz spaces. As an application we show an existence result to some critical elliptic problem with nonstandard growth.

Analysis of PDEs · Mathematics 2023-10-20 Julián Fernández Bonder , Analía Silva

A central problem in signal processing and communications is to design signals that are compact both in time and frequency. Heisenberg's uncertainty principle states that a given function cannot be arbitrarily compact both in time and…

Information Theory · Computer Science 2014-01-17 Reza Parhizkar , Yann Barbotin , Martin Vetterli

Several local geometric properties of Orlicz space $L_\phi$ are presented for an increasing Orlicz function $\phi$ which is not necessarily convex, and thus $L_\phi$ does not need to be a Banach space. In addition to monotonicity of $\phi$…

Functional Analysis · Mathematics 2019-11-26 Anna Kamińska , Mariusz Żyluk

For an Orlicz function $\varphi$ and a decreasing weight $w$, two intrinsic exact descriptions are presented for the norm in the K\"othe dual of an Orlicz-Lorentz function space $\Lambda_{\varphi,w}$ or a sequence space…

Functional Analysis · Mathematics 2016-06-20 Anna Kamińska , Karol Leśnik , Yves Raynaud

We introduce a novel concept of convergence for Markovian processes within Orlicz spaces, extending beyond the conventional approach associated with $L_p$ spaces. After showing that Markovian operators are contractive in Orlicz spaces, our…

Information Theory · Computer Science 2025-11-24 Amedeo Roberto Esposito , Marco Mondelli

Windowing a Fourier transform is a useful tool, which gives us the similarity between the signal and time frequency signal, and it allows to get sense when/where ceratin frequencies occur in the input signal, this method is introduced by…

Classical Analysis and ODEs · Mathematics 2019-01-07 Mohammed El Kassimi , Mustapha Boujeddaine , Said Fahlaoui

We revisit the classical theory of linear second-order uniformly elliptic equations in divergence form whose solutions have H\"older continuous gradients, and prove versions of the generalized maximum principle, the $C^{1,\alpha}$-estimate,…

Analysis of PDEs · Mathematics 2024-12-10 Boyan Sirakov , Philippe Souplet

In this paper, we mainly establish the uncertainty principle (UP) for a function and its quaternion Fractional Fourier transform (QFrFT), as well as the UP for two QFrFTs. Using the polar representation of quaternion-valued signals, we give…

Complex Variables · Mathematics 2026-05-26 Ke Cui , Haipan Shi , Xiaomin Tang

In this work, we revisit the study by M. E. Schonbek [11] concerning the problem of existence of global entropic weak solutions for the classical Boussinesq system, as well as the study of the regularity of these solutions by C. J. Amick…

Analysis of PDEs · Mathematics 2020-02-03 Luc Molinet , Raafat Talhouk , Ibtissam Zaiter

Generalized versions of the entropic (Hirschman-Beckner) and support (Elad-Bruckstein) uncertainty principle are presented for frames representations. Moreover, a sharpened version of the support inequality has been obtained by introducing…

Information Theory · Computer Science 2012-10-30 Benjamin Ricaud , Bruno Torrésani

The uncertainty principle is a fundamental principle in theoretical physics, such as quantum mechanics and classical mechanics. It plays a prime role in signal processing, including optics, where a signal is to be analyzed simultaneously in…

Signal Processing · Electrical Eng. & Systems 2023-06-13 Manish Kumar , Bhawna

Urbanik's theorem for a Poisson process on an infinite measure space (X, A, $\mu$) relates integrability of stochastic integrals to a particular Orlicz function space L$\Phi$ ($\mu$) on which the L1-norm of the Poisson process induces a…

Dynamical Systems · Mathematics 2023-06-27 Emmanuel Roy

We study the problem of recovering an unknown compactly-supported multivariate function from samples of its Fourier transform that are acquired nonuniformly, i.e. not necessarily on a uniform Cartesian grid. Reconstruction problems of this…

Numerical Analysis · Mathematics 2022-05-04 Ben Adcock , Milana Gataric , José Luis Romero
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