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We examine the rate of decay to the limit of the tail dependence coefficient of a bivariate skew t distribution which always displays asymptotic tail dependence. It contains as a special case the usual bivariate symmetric t distribution,…

Statistics Theory · Mathematics 2013-12-05 Thomas Fung , Eugene Seneta

It is shown that the series derived by Mizrahi, giving the Husimi transform (or covariant symbol) of an operator product, is absolutely convergent for a large class of operators. In particular, the generalized Liouville equation, describing…

Quantum Physics · Physics 2009-11-06 D. M. Appleby

Multivariate Exponentially Weighted Moving Average, MEWMA, charts are popular, handy and effective procedures to detect distributional changes in a stream of multivariate data. For doing appropriate performance analysis, dealing with the…

Methodology · Statistics 2021-01-12 Sven Knoth

We investigate a stationary random coefficient autoregressive process. Using renewal type arguments tailor-made for such processes, we show that the stationary distribution has a power-law tail. When the model is normal, we show that the…

Probability · Mathematics 2007-05-23 Claudia Kluppelberg , Serguei Pergamenchtchikov

We examine the spectrum of a family of Sturm--Liouville operators with regularly spaced delta function potentials parametrized by increasing strength. The limiting behavior of the eigenvalues under this spectral flow was described in a…

Spectral Theory · Mathematics 2020-06-25 Thomas Beck , Isabel Bors , Grace Conte , Graham Cox , Jeremy L. Marzuola

In this paper we introduce and study several multivariate, heavy-tailed distribution classes, and we explore their closure properties and their applications. We consider the class of multivariate, positively decreasing distributions, and…

Probability · Mathematics 2026-04-28 Dimitrios G. Konstantinides , Charalampos D. Passalidis

In this paper, the linear differential expression of order $n \ge 2$ with distribution coefficients of various singularity orders is considered. We obtain the associated matrix for the regularization of this expression. Furthermore, we…

Spectral Theory · Mathematics 2023-03-29 Natalia P. Bondarenko

Data exhibiting heavy-tails in one or more dimensions is often studied using the framework of regular variation. In a multivariate setting this requires identifying specific forms of dependence in the data; this means identifying that the…

Statistics Theory · Mathematics 2017-02-02 Bikramjit Das , Sidney I. Resnick

Eigenvalues of a Wilson loop operator are gauge invariant and their distribution undergoes a transition at infinite N as the size of the loop is changed. We study this transition using the average characteristic polynomial associated with…

High Energy Physics - Lattice · Physics 2010-01-21 Rajamani Narayanan , Herbert Neuberger

The tail behavior of aggregates of heavy-tailed random vectors is known to be determined by the so-called principle of "one large jump'', be it for finite sums, random sums, or, L\'evy processes. We establish that, in fact, a more general…

Probability · Mathematics 2023-01-26 Bikramjit Das , Vicky Fasen-Hartmann

This is Part II of our project on block-weighted planar maps and Liouville quantum duality. Focusing on the scaling properties at the dual critical point, we derive the conditional distribution of the root block size given the total size,…

Mathematical Physics · Physics 2026-04-28 Bertrand Duplantier , Emmanuel Guitter

This paper builds the theoretical foundations for dynamic mode decomposition (DMD) of control-affine dynamical systems by leveraging the theory of vector-valued reproducing kernel Hilbert spaces (RKHSs). Specifically, control Liouville…

Optimization and Control · Mathematics 2024-03-19 Joel A. Rosenfeld , Rushikesh Kamalapurkar

We attempt to bring some modest unity to three subareas of heavy tail analysis and extreme value theory: limit laws for componentwise maxima of iid random variables;hidden regular variation and asymptotic independence;conditioned limit laws…

Probability · Mathematics 2009-09-29 Sidney I. Resnick

In [1], an operator was introduced which acts parallel to the Riemann-Liouville differintegral on a transformation of the space of real analytic functions and commutes with itself. This paper aims to extend the technique - and its defining…

Classical Analysis and ODEs · Mathematics 2012-07-31 Matthew Parker

In this paper we establish a Liouville theorem in $\mathcal{H'}_{\mu}$ for a wider class of operators in $(0,\infty)^{n}$ that generalizes the $n$-dimensional Bessel operator. We will present two different proofs, based in two…

Functional Analysis · Mathematics 2019-04-17 Vanesa Galli , Sandra Molina , Alejandro Quintero

Considered are operators that leave the set of non-invertible (in the sense of Ehrenpreis) distributions stable. They simultaneously generalise the operation of convolution by a distribution with compact support and the operation of…

Functional Analysis · Mathematics 2013-12-18 Richard F. Bonner

The Multivariate Extreme Value distributions have shown their usefulness in environmental studies, financial and insurance mathematics. The Logistic or Gumbel-Hougaard distribution is one of the oldest multivariate extreme value models and…

Probability · Mathematics 2011-04-29 Helena Ferreira , Luísa Pereira

Sturm-Liouville oscillation theory is studied for Jacobi operators with block entries given by covariant operators on an infinite dimensional Hilbert space. It is shown that the integrated density of states of the Jacobi operator is…

Mathematical Physics · Physics 2020-01-22 Julian Grossmann , Hermann Schulz-Baldes , Carlos Villegas-Blas

In 2023 in (3), Uwe finds the explicit form of the map which is which is settled in ZN of finite functional degree and14 discusses how to compute its usual degree w.r.t to the derivative in the linear form, i.e. the product of ones formed…

General Mathematics · Mathematics 2025-03-27 Yunting Iris Gao

We develop theory and software for rotation equivariant operators on scalar and vector fields, with diverse applications in simulation, optimization and machine learning. Rotation equivariance (covariance) means all fields in the system…

Machine Learning · Computer Science 2022-08-08 Paul Shen , Michael Herbst , Venkat Viswanathan