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Classes of simple polynomial and simple trigonometric splines given by Fourier series are considered. It is shown that the class of simple trigonometric splines includes the class of simple polynomial splines. For some parameter values, the…

Numerical Analysis · Mathematics 2021-10-12 V. Denysiuk

The convergence of partial sums and Ces\'aro means of negative order of double Walsh-Fourier series of functions of bounded \ generalized variation is investigated.

Analysis of PDEs · Mathematics 2014-02-07 Ushangi Goginava , Artur Sahakian

This article establishes a real-variable argument for Zygmund's theorem on almost everywhere convergence of strong arithmetic means of partial sums of Fourier series on $\mathbb{T}$, up to passing to a subsequence. Our approach extends to,…

Classical Analysis and ODEs · Mathematics 2013-04-15 Bobby Wilson

I reconsider the approximation of Bessel functions with finite sums of trigonometric functions, in the light of recent evaluations of Neumann-Bessel series with trigonometric coefficients. A proper choice of the angle allows for an…

General Mathematics · Mathematics 2022-12-26 Luca Guido Molinari

On the sets of $2\pi$-periodic functions $f$, which are defined with a help of $(\psi, \beta)$-integrals of the functions $\varphi$ from $L_{1}$, we establish Lebesgue-type inequalities, in which the uniform norms of deviations of Fourier…

Classical Analysis and ODEs · Mathematics 2023-01-06 Anatoly Serdyuk , Tetiana Stepaniuk

The success of Neural networks in providing miraculous results when applied to a wide variety of tasks is astonishing. Insight in the working can be obtained by studying the universal approximation property of neural networks. It is proved…

Machine Learning · Computer Science 2021-11-17 R Subhash Chandra Bose , Kakarla Yaswanth

The perimeter and area generating functions of exactly solvable polygon models satisfy q-functional equations, where q is the area variable. The behaviour in the vicinity of the point where the perimeter generating function diverges can…

Statistical Mechanics · Physics 2008-08-28 C. Richard , A. J. Guttmann

Fourier series multiscale method, a concise and efficient analytical approach for multiscale computation, will be developed out of this series of papers. In the seventh paper, the usual structural analysis of beams on an elastic foundation…

Numerical Analysis · Mathematics 2023-01-04 Weiming Sun , Zimao Zhang

Fourier series of smooth, non-periodic functions on $[-1,1]$ are known to exhibit the Gibbs phenomenon, and exhibit overall slow convergence. One way of overcoming these problems is by using a Fourier series on a larger domain, say $[-T,T]$…

Numerical Analysis · Computer Science 2015-09-02 Roel Matthysen , Daan Huybrechs

We propose a new way to compute the radius of convergence for Quaternionic hyperholomorphic functions and for Octonion analytic functions. We extend the theorem of Cauchy Hadamard and the theorem of Abel on convergence of series to…

Complex Variables · Mathematics 2019-04-25 Eric Dolores

In this paper, we have proved four theorems on the degree of approximation of continuous functions by matrix means of their Fourier series which is expressed in terms of the modulus of continuity and a non-negative mediate function.

Classical Analysis and ODEs · Mathematics 2023-06-22 Xhevat Z. Krasniqi

Extension to Walsh series of theorems of Helson and Katznelson on trigonometric series, saying that a trigonometric series whose partial sums are positive has its coefficients tend to zero but is not necessarily a Fourier-Lebesgue series

Classical Analysis and ODEs · Mathematics 2007-09-28 Jean-Pierre Kahane

A novel method of summation for power series is developed. The method is based on the self-similar approximation theory. The trick employed is in transforming, first, a series expansion into a product expansion and in applying the…

Statistical Mechanics · Physics 2009-11-10 V. I. Yukalov , S. Gluzman , D. Sornette

We review neural network architectures which were motivated by Fourier series and integrals and which are referred to as Fourier neural networks. These networks are empirically evaluated in synthetic and real-world tasks. Neither of them…

Neural and Evolutionary Computing · Computer Science 2023-10-26 Abylay Zhumekenov , Malika Uteuliyeva , Olzhas Kabdolov , Rustem Takhanov , Zhenisbek Assylbekov , Alejandro J. Castro

The paper develops a method for discrete computational Fourier analysis of functions defined on quasicrystals and other almost periodic sets. A key point is to build the analysis around the emerging theory of quasicrystals and diffraction…

Mathematical Physics · Physics 2008-08-14 R. V. Moody , M. Nesterenko , J. Patera

We study orthogonality relations for Fourier frequencies and complex exponentials in Hilbert spaces $L^2(\mu)$ with measures $\mu$ arising from iterated function systems (IFS). This includes equilibrium measures in complex dynamics.…

Functional Analysis · Mathematics 2007-09-28 Dorin Ervin Dutkay , Palle E. T. Jorgensen

Using the theorem of residues Chiarella and Reichel derived a series that can be represented in terms of the complex error function (CEF). Here we show a simple derivation of this CEF series by Fourier expansion of the exponential function…

General Mathematics · Mathematics 2012-08-13 S. M. Abrarov , B. M. Quine , R. K. Jagpal

This is a discussion of miscellaneous summation, integration and transformation formulas obtained using Fourier analysis. The topics covered are: Series of the form $\sum_{n\in\mathbb{Z}} c_ne^{\pi i \gamma n^2}$; Fusion of integrals, and…

Classical Analysis and ODEs · Mathematics 2025-02-12 Martin Nicholson

Function approximation is a generic process in a variety of computational problems, from data interpolation to the solution of differential equations and inverse problems. In this work, a unified approach for such techniques is…

Numerical Analysis · Mathematics 2019-10-01 Nikolaos P. Bakas

In our recent publication [1] we presented an exponential series approximation suitable for highly accurate computation of the complex error function in a rapid algorithm. In this Short Communication we describe how a simplified…

Numerical Analysis · Mathematics 2012-05-09 S. M. Abrarov , B. M. Quine
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