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We consider the limiting process that arises at the hard edge of Muttalib--Borodin ensembles. This point process depends on $\theta > 0$ and has a kernel built out of Wright's generalized Bessel functions. In a recent paper, Claeys, Girotti…

Mathematical Physics · Physics 2019-07-01 Christophe Charlier , Jonatan Lenells , Julian Mauersberger

The paper contains two main parts: in the first part, we analyze the general case of $p\geq 2$ matrices coupled in a chain subject to Cauchy interaction. Similarly to the Itzykson-Zuber interaction model, the eigenvalues of the Cauchy chain…

Mathematical Physics · Physics 2015-05-20 Marco Bertola , Thomas Bothner

Keeping in view applications to numerical simulations of the evolution of a nuclear reactor core around criticality, we use a general mathematical framework for describing the evolutions of multiplicative processes (processes involving…

General Physics · Physics 2018-12-10 Bernard Gaveau , Marc-Thierry Jaekel , Jacques Maillard , Jorge Silva

The Ginibre point process is one of the main examples of deter- minantal point processes on the complex plane. It forms a recurring model in stochastic matrix theory as well as in pratical applications. However, this model has mostly been…

Probability · Mathematics 2018-07-30 Laurent Decreusefond , Ian Flint , Anaïs Vergne

For a class of one-dimensional determinantal point processes including those induced by orthogonal projections with integrable kernels satisfying a growth condition, it is proved that their conditional measures, with respect to the…

Probability · Mathematics 2016-05-05 Alexander I. Bufetov

We calculate in this paper the norm of composition, multiplicative and product operator, generated by multiplicative and measurable argument transformation between two different ordinary Lebesgue-Riesz and Grand Lebesgue spaces. We set…

Functional Analysis · Mathematics 2016-08-12 E. Ostrovsky , L. Sirota

In this paper, we critically examine the prevalent practice of using additive mixtures of Mat\'ern kernels in single-output Gaussian process (GP) models and explore the properties of multiplicative mixtures of Mat\'ern kernels for…

Machine Learning · Statistics 2023-10-27 Jiawen Chen , Wancen Mu , Yun Li , Didong Li

As well as arising naturally in the study of non-intersecting random paths, random spanning trees, and eigenvalues of random matrices, determinantal point processes (sometimes also called fermionic point processes) are relatively easy to…

Probability · Mathematics 2008-04-04 Steven N. Evans , Alex Gottlieb

In the series of lectures, we will discuss probability laws of random points, curves, and surfaces. Starting from a brief review of the notion of martingales, one-dimensional Brownian motion (BM), and the $D$-dimensional Bessel processes,…

Probability · Mathematics 2022-08-16 Makoto Katori

The notation of generalized Bessel multipliers is obtained by a bounded operator on $\ell^2$ which is inserted between the analysis and synthesis operators. We show that various properties of generalized multipliers are closely related to…

Functional Analysis · Mathematics 2018-02-20 GH. Abbaspour Tabadkan , H. Hossein-nezhad , A. Rahimi

Consider the product of $M$ quadratic random matrices with complex elements and no further symmetry, where all matrix elements of each factor have a Gaussian distribution. This generalises the classical Wishart-Laguerre Gaussian Unitary…

Mathematical Physics · Physics 2013-06-28 Gernot Akemann , Mario Kieburg , Lu Wei

An important application of Lebesgue integral quadrature arXiv:1807.06007 is developed. Given two random processes, $f(x)$ and $g(x)$, two generalized eigenvalue problems can be formulated and solved. In addition to obtaining two Lebesgue…

Numerical Analysis · Mathematics 2020-12-01 Vladislav Gennadievich Malyshkin

Nonparametric kernel density estimation is a very natural procedure which simply makes use of the smoothing power of the convolution operation. Yet, it performs poorly when the density of a positive variable is to be estimated (boundary…

Statistics Theory · Mathematics 2017-07-17 Gery Geenens

We construct the multilevel correlation kernel for the rising GUE eigenvalue process starting from a fixed initial configuration $x^{(m)}$, and show that it converges on short time scales (as quickly as $\text{polylog}(m)$) to the extended…

Probability · Mathematics 2026-05-01 Zoe Himwich

Linear second order differential equations having a large real parameter and turning point in the complex plane are considered. Classical asymptotic expansions for solutions involve the Airy function and its derivative, along with two…

Classical Analysis and ODEs · Mathematics 2017-02-27 T. M. Dunster , A. Gil , J. Segura

To target challenges in differentiable optimization we analyze and propose strategies for derivatives of the Mat\'ern kernel with respect to the smoothness parameter. This problem is of high interest in Gaussian processes modelling due to…

Numerical Analysis · Mathematics 2022-01-04 Oana Marin , Christopher Geoga , Michel Schanen

We consider the gap probability for the Bessel process in the single-time and multi-time case. We prove that the scalar and matrix Fredholm determinants of such process can be expressed in terms of determinants of integrable kernels \`a la…

Mathematical Physics · Physics 2013-07-04 Manuela Girotti

We give explicit numerical values with 100 decimal digits for the Mertens constant involved in the asymptotic formula for $\sum\limits_{\substack{p\leq x p\equiv a \bmod{q}}}1/p$ and, as a by-product, for the Meissel-Mertens constant…

Number Theory · Mathematics 2012-12-27 Alessandro Languasco , Alessandro Zaccagnini

We study the joint probability generating function for $k$ occupancy numbers on disjoint intervals in the Bessel point process. This generating function can be expressed as a Fredholm determinant. We obtain an expression for it in terms of…

Mathematical Physics · Physics 2020-10-12 Christophe Charlier , Antoine Doeraene

We investigate the hard edge scaling limit of the ensemble defined by the squared singular values of the product of two coupled complex random matrices. When taking the coupling parameter to be dependent on the size of the product matrix,…

Mathematical Physics · Physics 2016-12-23 Gernot Akemann , Eugene Strahov