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Related papers: 447 Instances of Hypergeometric 3F2(1)

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Using contiguous relations we construct an infinite number of continued fraction expansions for ratios of generalized hypergeometric series 3F2(1). We establish exact error term estimates for their approximants and prove their rapid…

Classical Analysis and ODEs · Mathematics 2017-09-04 Akihito Ebisu , Katsunori Iwasaki

In a joint paper [4] by Otsubo, Terasoma and the first author, we proved that the special value 3F2(a,b,q;a+b,q;1) of the generalized hypergeometric function is a linear combination of log of algebraic numbers if the triplet (a,b,q) of…

Algebraic Geometry · Mathematics 2019-06-10 Masanori Asakura , Toshifumi Yabu

3D local feature extraction and matching is the basis for solving many tasks in the area of computer vision, such as 3D registration, modeling, recognition and retrieval. However, this process commonly draws into false correspondences, due…

Computer Vision and Pattern Recognition · Computer Science 2019-01-17 Bao Zhao , Xiaobo Chen , Xinyi Le , Juntong Xi

We consider the asymptotic behaviour of the generalised hypergeometric function \[{}_3F_2\bl(\!\!\begin{array}{c} 1, (1+t)k/2, (1+t)k/2+1/2\\tk+1, k+1\end{array}\!\!; x\br),\qquad 0<x,t\leq 1\] as the parameter $k\to+\infty$. Numerical…

Classical Analysis and ODEs · Mathematics 2018-10-03 R B Paris

We construct a class of representations of the quadratic $R$-matrix algebra given by the reflection equation with the spectral parameter, $$ R{\,}(u-v)\,T^{(1)}(u)\,R{\,}(u+v)\,T^{(2)}(v)= T^{(2)}(v)\,R{\,}(u+v)\,T^{(1)}(u)\,R{\,}(u-v), $$…

Quantum Algebra · Mathematics 2016-09-06 Vadim B. Kuznetsov

HYPERDIRE is a project devoted to the creation of a set of Mathematica based programs for the differential reduction of hypergeometric functions. The current version includes two parts: one, pfq, is relevant for manipulations of…

Mathematical Physics · Physics 2013-09-09 Vladimir V. Bytev , Mikhail Yu. Kalmykov , Bernd A. Kniehl

We study the examples mentioned in [2,Tables A & C] and establish the arithmeticity of four examples of symplectic hypergeometric groups of degree six. Following [2] we know that there are 458 inequivalent symplectic hypergeometric groups…

Group Theory · Mathematics 2022-03-11 Jitendra Bajpai

The generalized hypergeometric function $_qF_p$ is a power series in which the ratio of successive terms is a rational function of the summation index. The Gaussian hypergeometric functions $_2F_1$ and $_3F_2$ are most common special cases…

Mathematical Physics · Physics 2008-10-28 Jonathan Murley , Nasser Saad

By making use of some techniques based upon certain inverse new pairs of symbolic operators, the author investigate several decomposition formulas associated with Humbert hypergeometric functions $\Phi_1 $, $\Phi_2 $, $\Phi_3 $, $\Psi_1 $,…

Mathematical Physics · Physics 2008-10-22 A. Hasanov

Enumerative algebraic geometry counts the solutions to certain geometric constraints. Numerical algebraic geometry determines these solutions for any given instance. This article illustrates how these two fields complement each other. Our…

Algebraic Geometry · Mathematics 2019-09-09 Paul Breiding , Bernd Sturmfels , Sascha Timme

Symmetries play a crucial role in shaping the structure and predictions of multi-Higgs-doublet models. In three-Higgs-doublet models considerable effort has been put into classifying possible symmetry groups and the conditions for their…

High Energy Physics - Phenomenology · Physics 2026-01-06 A. Kunčinas , P. Osland , M. N. Rebelo

We construct a class of representations of the quadratic R-matrix algebra, given by the reflection equation with the spectral parameter, in terms of certain ordinary difference operators. These operators turn out to act as parameter…

High Energy Physics - Theory · Physics 2008-02-03 Vadim B. Kuznetsov

In this article three expansion formulas for a generalized hypergeometric function $_4F_3$ are derived, when its upper parameters differ by integers. Though the results are special cases of a general continuation formula for $_pF_q$, they…

Classical Analysis and ODEs · Mathematics 2007-05-23 Megumi Saigo , Rajendra K. Saxena

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

We give a sufficient condition for that the hypergeometric function 3F2 is a linear combination of the logarithmic function. The proof is based on the regulator formula which we proved in another preprint, arXiv:1709.04144.

Algebraic Geometry · Mathematics 2018-01-22 Masanori Asakura , Noriyuki Otsubo

New relations are established between families of three-variable Mahler measures. Those identities are then expressed as transformations for the $_5F_4$ hypergeometric function. We use these results to obtain two explicit $_5F_4$…

Number Theory · Mathematics 2008-05-16 Mathew D. Rogers

We construct an explicit orthonormal basis of piecewise ${}_{i+1}F_{i}$ hypergeometric polynomials for the Alpert multiresolution analysis. The Fourier transform of each basis function is written in terms of ${}_2F_3$ hypergeometric…

Classical Analysis and ODEs · Mathematics 2015-02-05 Jeffrey S. Geronimo , Plamen Iliev

For each of the eight $n$-th derivative parameter changing formulas for Gauss hypergeometric functions a corresponding fractional integration formula is given. For both types of formulas the differential or integral operator is intertwining…

Classical Analysis and ODEs · Mathematics 2015-09-22 Tom H. Koornwinder

HYPERDIRE is a project devoted to the creation of a set of Mathematica based programs for the differential reduction of hypergeometric functions. The current version includes two parts: the first one, FdFunction, for manipulations with…

Mathematical Physics · Physics 2014-10-27 Vladimir V. Bytev , Mikhail Yu. Kalmykov , Sven-Olaf Moch

Hyperdimensional (HD) computing is built upon its unique data type referred to as hypervectors. The dimension of these hypervectors is typically in the range of tens of thousands. Proposed to solve cognitive tasks, HD computing aims at…

Machine Learning · Computer Science 2020-06-08 Lulu Ge , Keshab K. Parhi