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In this paper, using the theory of the so-called fractional calculus we show that it is possible to easily obtain the solutions for the confluent hypergeometric equation. Our approach is to be compared with the standard one (Frobenius)…

Mathematical Physics · Physics 2016-12-23 Fabio G. Rodrigues , Edmundo C. Oliveira

In this work, we extend the fractional linear multistep methods in [C. Lubich, SIAM J. Math. Anal., 17 (1986), pp.704--719] to the tempered fractional integral and derivative operators in the sense that the tempered fractional derivative…

Numerical Analysis · Mathematics 2018-12-11 Ling Guo , Fanhai Zeng , Ian Turner , Kevin Burrage , George Em Karniadakis

The Bessel function of the first kind $J_{N}\left(kx\right)$ is expanded in a Fourier-Legendre series, as is the modified Bessel functions of the first kind $I_{N}\left(kx\right)$. The purpose of these expansions in Legendre polynomials was…

General Mathematics · Mathematics 2026-01-21 Jack C. Straton

The Riemann zeta function at integer arguments can be written as an infinite sum of certain hypergeometric functions and more generally the same can be done with polylogarithms, for which several zeta functions are a special case. An…

Number Theory · Mathematics 2012-07-06 Stephen Crowley

First derivatives of the Whittaker function $\mathrm{M}_{\kappa ,\mu }\left(x\right) $ with respect to the parameters are calculated. Using the confluent hypergeometric function, these derivarives can be expressed as infinite sums of…

Classical Analysis and ODEs · Mathematics 2023-04-28 Alexander Apelblat , Juan Luis González-Santander

Value of generalized hypergeometric function at a special point is calculated. More precisely, value of certain multiple integral over vanishing cycle (all arguments collapse to unity) is calculated. The answer is expressed in terms of…

High Energy Physics - Theory · Physics 2008-02-03 A. Kazarnovski-Krol

We introduce quasi-Monte Carlo rules for the numerical integration of functions $f$ defined on $[0,1]^s$, $s \ge 1$, which satisfy the following properties: the Fourier-, Fourier cosine- or Walsh coefficients of $f$ are absolutely summable…

Numerical Analysis · Mathematics 2014-03-13 Josef Dick

In this paper, we use some standard numerical techniques to approximate the hypergeometric function $$ {}_2F_1[a,b;c;x]=1+\frac{ab}{c}x+\frac{a(a+1)b(b+1)}{c(c+1)}\frac{x^2}{2!}+\cdots $$ for a range of parameter triples $(a,b,c)$ on the…

Numerical Analysis · Mathematics 2017-07-26 Hina Manoj Arora , Swadesh Kumar Sahoo

In this paper, we study the error behavior of the nonequispaced fast Fourier transform (NFFT). This approximate algorithm is mainly based on the convenient choice of a compactly supported window function. Here we consider the continuous…

Numerical Analysis · Mathematics 2021-08-25 Daniel Potts , Manfred Tasche

In this paper a double integral containing two Gaussian hypergeometric functions is discussed. The integral is not found in the literature and a direct computation is not (yet) possible. Therefore, a complete different integral is computed…

Classical Analysis and ODEs · Mathematics 2023-02-28 E. Diekema

In this paper, we study the zero sets of the confluent hypergeometric function $_{1}F_{1}(\alpha;\gamma;z):=\sum_{n=0}^{\infty}\frac{(\alpha)_{n}}{n!(\gamma)_{n}}z^{n}$, where $\alpha, \gamma, \gamma-\alpha\not\in \mathbb{Z}_{\leq 0}$, and…

Classical Analysis and ODEs · Mathematics 2015-10-06 Wei-Chuan Lin , Xu-Dan Luo

Generalized matrix-fractional (GMF) functions are a class of matrix support functions introduced by Burke and Hoheisel as a tool for unifying a range of seemingly divergent matrix optimization problems associated with inverse problems,…

Optimization and Control · Mathematics 2017-03-07 James V. Burke , Yuan Gao , Tim Hoheisel

We analyze the problem of regression when both input covariates and output responses are functions from a nonparametric function class. Function to function regression (FFR) covers a large range of interesting applications including…

Machine Learning · Statistics 2014-10-29 Junier Oliva , Willie Neiswanger , Barnabas Poczos , Eric Xing , Jeff Schneider

We propose a numerical method to efficiently compute quantum generating functions (QGF) for a wide class of observables in one-dimensional quantum systems at high temperature. We obtain high-accuracy estimates for the cumulants and…

In this note is presented a method, given nodal values on multidimensional nonconforming spectral elements, for calculating global Fourier-series coefficients. This method is ``exact'' in that given the approximation inherent in the…

Numerical Analysis · Mathematics 2009-11-11 Aime' Fournier

In this paper, we aim to present new extensions of incomplete gamma, beta, Gauss hypergeometric, confluent hypergeometric function and Appell-Lauricella hypergeometric functions, by using the extended Bessel function due to Boudjelkha [4].…

Classical Analysis and ODEs · Mathematics 2019-12-10 Abbas Hafida , Azzouz Abdelhalim , Zahaf Mohammed Brahim , Belmekki Mohamed

A general explicit form for generating functions for approximating fractional derivatives is derived. To achieve this, an equivalent characterisation for consistency and order of approximations established on a general generating function…

Numerical Analysis · Mathematics 2021-05-31 W. A. Gunarathna , H. M. Nasir , W. B. Daundasekera

The present study seeks to investigate mathematical structures of a multi-frequency subspace migration weighted by the natural logarithmic function for imaging of thin electromagnetic inhomogeneities from measured far-field pattern. To this…

Mathematical Physics · Physics 2014-12-23 Young-Deuk Joh , Won-Kwang Park

We show that there exist infinitely many nontrivial choices of parameters of the single confluent Heun equation for which the three-term recurrence relations governing the expansions of the solutions in terms of the confluent hypergeometric…

Classical Analysis and ODEs · Mathematics 2019-12-19 T. A. Ishkhanyan , V. P. Krainov , A. M. Ishkhanyan

We propose the convex factorization machine (CFM), which is a convex variant of the widely used Factorization Machines (FMs). Specifically, we employ a linear+quadratic model and regularize the linear term with the $\ell_2$-regularizer and…

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