1,722,228 research outputs found
Extending the Meijer -function
Full text linkBy replacing the Euler gamma function by the Barnes double gamma function in
the definition of the Meijer -function, we introduce a new family of special
functions, which we call -functions. This is a very general class of
functions, which includes as special cases Meijer -functions (thus also all
hypergeometric functions ) as well as several new functions that
appeared recently in the literature. Our goal is to define the -function,
study its analytic and transformation properties and relate it to several
functions that appeared recently in the study of random processes and the
fractional Laplacian. We further introduce a generalization of the Kilbas-Saigo
function and show that it is a special case of -function.Comment: 27 pages, 2 figure
Relation of Some Known Functions in terms of Generalized Meijer G-Functions
No full textThe aim of this paper is to prove some identities in the form of generalized Meijer G-function. We prove the relation of some known functions such as exponential functions, sine and cosine functions, product of exponential and trigonometric functions, product of exponential and hyperbolic functions, binomial expansion, logarithmic function, and sine integral, with the generalized Meijer G-function. We also prove the product of modified Bessel function of first and second kind in the form of generalized Meijer G-function and solve an integral involving the product of modified Bessel functions
Mehler-Heine asymptotics and zeros of some Meijer G-functions
Full text linkIn this contribution we investigate the asymptotic behavior of the zeros of some Meijer G–functions. To achieve this, we analyze the Mehler–Heine asymptotics for these G–functions. The findings are then illustrated through numerical experiments
LENSING PROPERTIES OF THE EINASTO PROFILE IN TERMS OF THE MEIJER G FUNCTION
Full text linkIn N-body simulations of cold dark matter, it has been found that three-parameter models, particularly the Einasto profile, yield better fits to a wide range of dark matter haloes than two parameter models like the Navarro-Frenk-White profile. Recently, the analytical properties of the Einasto profile has been studied, allowing closed expressions for its surface mass density and lensing properties in terms of the Fox H and Meijer G functions, using a Mellin transform formalism. These expressions are valid for all values of the Einasto index in terms of the Fox H function, and valid for integer and half-integer values of Einasto index in terms of the Meijer G function. In this paper, we derive expressions for lensing properties of the Einasto profile for all rational values of the Einasto index in terms of the Meijer G function. Equivalency between these expressions and other recent results is also discusse
A probabilistic proof of some integral formulas involving the Meijer G-function
Full text linkNew integral formulas involving the Meijer G-function are derived using recent results concerning distributional characterisations and distributional transformations in probability theory
Cauchy–Laguerre two-matrix model and the Meijer-G random point field
No full textWe apply the general theory of Cauchy biorthogonal polynomials developed in Bertola et al. (Commun Math Phys 287(3):983-1014, 2009) and Bertola et al. (J Approx Th 162(4):832-867, 2010) to the case associated with Laguerre measures. In particular, we obtain explicit formulae in terms of Meijer-G functions for all key objects relevant to the study of the corresponding biorthogonal polynomials and the Cauchy two-matrix model associated with them. The central theorem we prove is that a scaling limit of the correlation functions for eigenvalues near the origin exists, and is given by a new determinantal two-level random point field, the Meijer-G random field. We conjecture that this random point field leads to a novel universality class of random fields parametrized by exponents of Laguerre weights. We express the joint distributions of the smallest eigenvalues in terms of suitable Fredholm determinants and evaluate them numerically. We also show that in a suitable limit, the Meijer-G random field converges to the Bessel random field and hence the behavior of the eigenvalues of one of the two matrices converges to the one of the Laguerre ensemble. © 2013 Springer-Verlag Berlin Heidelberg
Resummation in QFT with Meijer G-functions
No full textWe employ a recent resummation method to deal with divergent series, based on the Meijer G-function, which gives access to the non-perturbative regime of any QFT from the first few known coefficients in the perturbative expansion. Using this technique, we consider in detail the ϕ4 model where we estimate the non-perturbative β-function and prove that its asymptotic behavior correctly reproduces instantonic effects calculated using semiclassical methods. After reviewing the emergence of the renormalons in this theory, we also speculate on how one can resum them. Finally, we resum the non-perturbative β-function of abelian and non-abelian gauge-fermion theories and analyze the behavior of these theories as a function of the number of fermion flavors. While in the former no fixed points are found, in the latter, a richer phase diagram is uncovered and illustrated by the regions of confinement, large-distance conformality, and asymptotic safety
Some Applications of Meijer G-Functions as Solutions of Differential Equations in Physical Models
No full textIn this paper, we aim to show that the Meijer G-functions can serve to find explicit solutions of partial differential equations (PDEs) related to some mathematical models of physical phenomena, as for example, the Laplace equation, the diffusion equation and the Schrödinger equation. Usually, the first step in solving such equations is to use the separation of variables method to reduce them to ordinary differential equations (ODEs). Very often this equation happens to be a case of the linear ordinary differential equation satisfied by the G-function, and so, by proper selection of its orders m; n; p; q and the parameters, we can find the solution of the ODE explicitly. We illustrate this approach by proposing solutions as: the potential function Ф, the temperature function T and the wave function Ψ, all of which are symmetric product forms of the Meijer G-functions. We show that one of the three basic univalent Meijer G-functions, namely G₀,₂¹’⁰, appears in all the mentioned solutions.Цель этой статьи - показать, что G-функции Мейера можно использовать для нахождения в явном виде решений уравнений в частных производных, связанных с некоторыми математическими моделями физических явлений, таких как, например, уравнение Лапласа, уравнение диффузии и уравнение Шредингера. Как правило, первым шагом в решении таких уравнений является использование метода разделения переменных для того, чтобы свести их к обыкновенным дифференциальным уравнениям (ОДУ). Очень часто это уравнение оказывается случаем линейного обыкновенного дифференциального уравнения, которое удовлетворяет G-функция и поэтому, правильно выбрав ее порядок m; n; p; q и параметры, мы можем найти решение ОДУ в явном виде. Мы иллюстрируем этот подход, предлагая такие решения, как потенциальная функция Ф, температурная функция T и волновая функция Ψ, все из которых являются видами симметричных произведений G-функций Мейера. Показано, что одна из трех основных однолистных G-функций Мейера, а именно G₀,₂¹’⁰, встречается во всех упомянутых решениях.The authors also would like to thank all the referees for the informative critics to improve the content of the article
Some Applications of Meijer G-Functions as Solutions of Differential Equations in Physical Models
No full textIn this paper, we aim to show that the Meijer G-functions can serve to find explicit solutions of partial differential equations (PDEs) related to some mathematical models of physical phenomena, as for example, the Laplace equation, the diffusion equation and the Schrödinger equation. Usually, the first step in solving such equations is to use the separation of variables method to reduce them to ordinary differential equations (ODEs). Very often this equation happens to be a case of the linear ordinary differential equation satisfied by the G-function, and so, by proper selection of its orders m; n; p; q and the parameters, we can find the solution of the ODE explicitly. We illustrate this approach by proposing solutions as: the potential function Ф, the temperature function T and the wave function Ψ, all of which are symmetric product forms of the Meijer G-functions. We show that one of the three basic univalent Meijer G-functions, namely G₀,₂¹’⁰, appears in all the mentioned solutions.Цель этой статьи - показать, что G-функции Мейера можно использовать для нахождения в явном виде решений уравнений в частных производных, связанных с некоторыми математическими моделями физических явлений, таких как, например, уравнение Лапласа, уравнение диффузии и уравнение Шредингера. Как правило, первым шагом в решении таких уравнений является использование метода разделения переменных для того, чтобы свести их к обыкновенным дифференциальным уравнениям (ОДУ). Очень часто это уравнение оказывается случаем линейного обыкновенного дифференциального уравнения, которое удовлетворяет G-функция и поэтому, правильно выбрав ее порядок m; n; p; q и параметры, мы можем найти решение ОДУ в явном виде. Мы иллюстрируем этот подход, предлагая такие решения, как потенциальная функция Ф, температурная функция T и волновая функция Ψ, все из которых являются видами симметричных произведений G-функций Мейера. Показано, что одна из трех основных однолистных G-функций Мейера, а именно G₀,₂¹’⁰, встречается во всех упомянутых решениях.The authors also would like to thank all the referees for the informative critics to improve the content of the article
Finite Form Representations for Meijer G and Fox H Functions [electronic resource] : Applied to Multivariate Likelihood Ratio Tests Using Mathematica®, MAXIMA and R /
No full textThis book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions. Accordingly, it will be of interest to researchers and graduate students who, when implementing likelihood ratio tests in multivariate analysis, would like to know if there exists an explicit manageable finite form for the distribution of the test statistics. In these cases, both the exact quantiles and the exact p-values of the likelihood ratio tests can be computed quickly and efficiently. The test statistics in question range from common ones, such as those used to test e.g. the equality of means or the independence of blocks of variables in real or complex normally distributed random vectors; to far more elaborate tests on the structure of covariance matrices and equality of mean vectors. The book also provides computational modules in Mathematica®, MAXIMA and R, which allow readers to easily implement, plot and compute the distributions of any of these statistics, or any other statistics that fit into the general paradigm described here.Preface -- Setting the Scene -- The Meijer G and Fox H Functions -- Multiple Products of Independent Beta Random Variables with Finite Form Representations for Their Distributions -- Finite Form Representations for Extended Instances of Meijer G and Fox H Functions -- Application of the Finite Form Representations of Meijer G and Fox H Functions to the Distribution of Several Likelihood Ratio Test Statistics -- Mathematica, MAXIMA and R Packages to Implement the Likelihood Ratio Tests and Compute the Distributions in the Previous Chapter -- Approximate Finite Forms for the Cases not Covered by the Finite Representation Approach -- Index.This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions. Accordingly, it will be of interest to researchers and graduate students who, when implementing likelihood ratio tests in multivariate analysis, would like to know if there exists an explicit manageable finite form for the distribution of the test statistics. In these cases, both the exact quantiles and the exact p-values of the likelihood ratio tests can be computed quickly and efficiently. The test statistics in question range from common ones, such as those used to test e.g. the equality of means or the independence of blocks of variables in real or complex normally distributed random vectors; to far more elaborate tests on the structure of covariance matrices and equality of mean vectors. The book also provides computational modules in Mathematica®, MAXIMA and R, which allow readers to easily implement, plot and compute the distributions of any of these statistics, or any other statistics that fit into the general paradigm described here
- …
