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We prove sharp estimates on the time-average behavior of the squared absolute value of the Fourier transform of some absolutely continuous measures that may have power-law singularities, in the sense that their Radon-Nikodym derivatives…

Spectral Theory · Mathematics 2022-05-17 M. Aloisio , S. L. de Carvalho , C. R. de Oliveira , E. Souza

We study measures on $\mathbb{R}^d$ which are induced by a class of infinite and recursive iterations in symbolic dynamics. Beginning with a finite set of data, we analyze prescribed recursive iteration systems, each involving subdivisions.…

Dynamical Systems · Mathematics 2007-08-20 Palle E. T. Jorgensen , Keri A. Kornelson , Karen L. Shuman

We use recent results on the Fourier analysis of the zero sets of Brownian motion to explore the diophantine properties of an algorithmically random Brownian motion (also known as a complex oscillation). We discuss the construction and…

Logic in Computer Science · Computer Science 2014-09-08 Willem L. Fouche

We study spectrum of finite truncations of unbounded Jacobi matrices with periodically modulated entries. In particular, we show that under some hypotheses a sequence of properly normalized eigenvalue counting measures converge vaguely to…

Spectral Theory · Mathematics 2026-02-06 Grzegorz Świderski , Bartosz Trojan

This paper establishes connections between the group-Fourier transform and the geometry of measures in the Heisenberg group. Firstly, it is shown that if the Fourier transform of a compactly supported, finite, Radon measure is square…

Functional Analysis · Mathematics 2020-02-27 Fernando Roman-Garcia

We consider some random series parametrised by complex binary strings. The simplest case is that of Rademacher series, independent of a time parameter. This is then extended to the case of Fourier series on the circle with Rademacher…

Probability · Mathematics 2017-01-02 Paul Potgieter

Fourier-transformable Radon measures are called doubly sparse when both the measure and its transform are pure point measures with sparse support. Their structure is reasonably well understood in Euclidean space, based on the use of…

Metric Geometry · Mathematics 2020-05-06 Michael Baake , Nicolae Strungaru , Venta Terauds

One of the basic questions in harmonic analysis is to study the decay properties of the Fourier transform of measures or distributions supported on thin sets in $\mathbb{R}^n$. When the support is a smooth enough manifold, an almost…

Classical Analysis and ODEs · Mathematics 2019-06-21 K. S. Senthil Raani

This paper relates to the Fourier decay properties of images of self-similar measures $\mu$ on $\mathbb{R}^k$ under nonlinear smooth maps $f \colon \mathbb{R}^k \to \mathbb{R}$. For example, we prove that if the linear parts of the…

Dynamical Systems · Mathematics 2025-03-11 Amlan Banaji , Han Yu

We consider measures supported on sets of irrational numbers possessing many consecutive partial quotients satisfying a condition based on the previous partial quotients. We show that under mild assumptions, such sets will always support…

Classical Analysis and ODEs · Mathematics 2025-03-24 Robert Fraser

Several classes of tempered measures are characterised that are eigenmeasures of the Fourier transform, the latter viewed as a linear operator on (generally unbounded) Radon measures on $\RR^d$. In particular, we classify all periodic…

Spectral Theory · Mathematics 2024-04-22 Michael Baake , Timo Spindeler , Nicolae Strungaru

For a family of fractal measures, we find an explicit Fourier duality. The measures in the pair have compact support in $\br^d$, and they both have the same matrix scaling. But the two use different translation vectors, one by a subset $B$…

Functional Analysis · Mathematics 2011-06-21 Dorin Ervin Dutkay , Palle E. T. Jorgensen

We study Fourier frames of exponentials on fractal measures associated with a class of affine iterated function systems. We prove that, under a mild technical condition, the Beurling dimension of a Fourier frame coincides with the Hausdorff…

Functional Analysis · Mathematics 2010-06-07 Dorin Ervin Dutkay , Deguang Han , Qiyu Sun , Eric Weber

We prove a uniform spectral gap for complex transfer operators near the critical line associated to overlapping $C^2$ iterated function systems on the real line satisfying a Uniform Non-Integrability (UNI) condition. Our work extends that…

Dynamical Systems · Mathematics 2023-06-05 Simon Baker , Tuomas Sahlsten

Fractional Brownian motion is a Gaussian stochastic process with stationary, long-time correlated increments and is frequently used to model anomalous diffusion processes. We study numerically fractional Brownian motion confined to a finite…

Statistical Mechanics · Physics 2019-03-22 T. Guggenberger , G. Pagnini , T. Vojta , R. Metzler

We introduce a continuous analog of the Fourier ratio for compactly supported Borel measures. For a measure \(\mu\) on \(\mathbb{R}^d\) and \(f\in L^2(\mu)\), the Fourier ratio compares \(L^1\) and \(L^2\) norms of a regularized Fourier…

Classical Analysis and ODEs · Mathematics 2025-12-19 A. Iosevich , Z. Li , E. Palsson , A. Yavicoli

We revisit the description provided by Ph. Biane of the spectral measure of the free unitary Brownian motion. We actually construct for any $t \in (0,4)$ a Jordan curve $\gamma_t$ around the origin, not intersecting the semi-axis…

Operator Algebras · Mathematics 2011-03-25 Nizar Demni , Taoufik Hmidi

Theorems and explicit examples are used to show how transformations between self-similar sets (general sense) may be continuous almost everywhere with respect to stationary measures on the sets and may be used to carry well known flows and…

Dynamical Systems · Mathematics 2014-09-12 Christoph Bandt , Michael Barnsley , Markus Hegland , Andrew Vince

We investigate the relationship between algorithmic fractal dimensions and the classical local fractal dimensions of outer measures in Euclidean spaces. We introduce global and local optimality conditions for lower semicomputable outer…

Computational Complexity · Computer Science 2025-01-08 Jack H. Lutz , Neil Lutz

The random Fourier features (RFFs) method is a powerful and popular technique in kernel approximation for scalability of kernel methods. The theoretical foundation of RFFs is based on the Bochner theorem that relates symmetric, positive…

Machine Learning · Computer Science 2022-09-20 Mingzhen He , Fan He , Fanghui Liu , Xiaolin Huang
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