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Fourier series multiscale method, a concise and efficient analytical approach for multiscale computation, will be developed out of this series of papers. The second paper is concerned with simultaneous approximation to functions and their…

Numerical Analysis · Mathematics 2022-08-09 Weiming Sun , Zimao Zhang

For all $s\in[0,1]$ and $t\in(0,s]\cup [2-s,2)$, we find the supremum of numbers $\omega\in(0,2)$ such that $\text{I}_\omega(\mu\ast\sigma) \lesssim 1$, where $\mu$ is any Borel measure on $B(1)$ with $\text{I}_t(\mu)\leq 1$ and $\sigma$ is…

Classical Analysis and ODEs · Mathematics 2024-10-31 Guangzeng Yi

Complex signed measures of finite total variation are a powerful signal model in many applications. Restricting to the $d$-dimensional torus, finitely supported measures allow for exact recovery if the trigonometric moments up to some order…

Numerical Analysis · Mathematics 2022-03-23 Paul Catala , Mathias Hockmann , Stefan Kunis , Markus Wageringel

We prove sharp estimates for Fourier transforms of indicator functions of bounded open sets in ${\mathbb R}^n$ with real analytic boundary, as well as nontrivial lattice point discrepancy results. Both will be derived from estimates on…

Classical Analysis and ODEs · Mathematics 2021-01-19 Michael Greenblatt

The accuracy of wavefront reconstruction from discrete slope measurements depends on the sampling geometry, coherence length of the incoming wavefronts, wavefront sensor specifications and the accuracy of the reconstruction algorithm. Monte…

Instrumentation and Methods for Astrophysics · Physics 2009-11-08 M B Roopashree , Akondi Vyas , B Raghavendra Prasad

In this work we construct an optimal linear shrinkage estimator for the covariance matrix in high dimensions. The recent results from the random matrix theory allow us to find the asymptotic deterministic equivalents of the optimal…

Statistics Theory · Mathematics 2014-10-28 Taras Bodnar , Arjun K. Gupta , Nestor Parolya

We establish a complete algebraic characterization of self-similar iterated function systems $\Phi$ on $\mathbb{R}^{d}$, for which there exists a positive probability vector $p$ so that the Fourier transform of the self-similar measure…

Dynamical Systems · Mathematics 2021-04-22 Ariel Rapaport

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

We develop a new approximative estimation method for conditional Shapley values obtained using a linear regression model. We develop a new estimation method and outperform existing methodology and implementations. Compared to the sequential…

Methodology · Statistics 2025-04-28 Fredrik Lohne Aanes

We establish estimates for restrictions to certain curves in R^2 of the Fourier transforms of some fractal measures.

Classical Analysis and ODEs · Mathematics 2010-09-28 M. Burak Erdogan , Daniel M. Oberlin

In this article, we establish the arithmetic purity of strong approximation for smooth loci of weighted projective spaces. By using this result and the descent method, we also prove that the arithmetic purity of strong approximation with…

Algebraic Geometry · Mathematics 2022-07-20 Sheng Chen

The Fourier extension method, also known as the Fourier continuation method, is a method for approximating non-periodic functions on an interval using truncated Fourier series with period larger than the interval on which the function is…

Numerical Analysis · Mathematics 2021-11-08 Jeffrey S. Geronimo , Karl Liechty

With the advent of gravitational wave detectors employing squeezed light, quantum waveform estimation---estimating a time-dependent signal by means of a quantum-mechanical probe---is of increasing importance. As is well known, backaction of…

Quantum Physics · Physics 2021-06-30 Sami Boulebnane , Mischa P. Woods , Joseph M. Renes

We derive and showcase a novel approach to approximating Fourier transforms in higher dimensions, focusing specifically on the case of 2D radially concentrated ('ring-like') functions. We first reduce the problem to that of evaluating the…

High Energy Astrophysical Phenomena · Physics 2026-04-08 Filip Niewiński , Michael D. Johnson

In this paper we investigate some convergence and divergence properties of the logarithmic means of quadratical partial sums of double Fourier series of functions in the measure and in the $L$ Lebesgue norm.

Analysis of PDEs · Mathematics 2013-01-15 Ushangi Goginava

In this paper, we introduce and study the Fourier transform of functions which are integrable with respect to a vector measure on a compact group (not necessarily abelian). We also study the Fourier transform of vector measures. We also…

Functional Analysis · Mathematics 2019-05-30 Manoj Kumar , N. Shravan Kumar

A space of entire functions of several complex variables rapidly decreasing on ${\mathbb R}^n$ and such that their growth along $i{\mathbb R}^n$ is majorized with the help of a family of weight functions is considered in this paper. For…

Functional Analysis · Mathematics 2017-03-14 I. Kh. Musin

We prove that the spherical mean of the Fourier transform of the characteristic function of a bounded convex set (without any additional assumptions) or a bounded set with a C^{3/2} boundary decays at infinity at the same rate as the…

Classical Analysis and ODEs · Mathematics 2007-05-23 L. Brandolini , S. Hofmann , A. Iosevich

A value given by a simple mathematical expression is proposed which is close to the fine structure constant given by 1998 CODATA recommended values of the fundamental physical constants up to relative accuracy 10^{-7}. This expression…

General Physics · Physics 2007-05-23 Zi-Xiang Zhou

Assuming that both a function and its Fourier transform are dominated by a Gaussian of large variance, it is shown that the Hermite coefficients of the function decay exponentially. A sharp estimate for the rate of exponential decay is…

Analysis of PDEs · Mathematics 2008-01-16 M. K. Vemuri