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Considering discrete models, the univariate framework has been studied in depth compared to the multivariate one. This paper first proposes two criteria to define a sensu stricto multivariate discrete distribution. It then introduces the…

Statistics Theory · Mathematics 2018-02-07 Pierre Fernique , Jean Peyhardi , Jean-Baptiste Durand

We study 12 parameter families of two qubit density matrices, arising from a special class of two-fermion systems with four single particle states or alternatively from a four-qubit state with amplitudes arranged in an antisymmetric matrix.…

Quantum Physics · Physics 2010-01-29 Szilárd Szalay , Péter Lévay , Szilvia Nagy , János Pipek

In this paper, we study the distribution of multiplicatively dependent vectors. For example, although they have zero Lebesgue measure, they are everywhere dense both in $\mathbb{R}^n$ and $\mathbb{C}^n$. We also study this property in a…

Number Theory · Mathematics 2023-01-31 Sergei V. Konyagin , Min Sha , Igor E. Shparlinski , Cameron L. Stewart

The aim of this paper is to show a possibility to identify multivariate distribution by means of specially constructed one-dimensional random variable. We give some inequalities which may appear to helpful for a construction of multivariate…

Statistics Theory · Mathematics 2018-08-17 Lev B. Klebanov , Irina V. Volchenkova

We compute nuclear spin dependent structure functions using a dynamical model for bound nucleon densities and hence calculate nuclear modifications to asymmetries observed in recent doubly polarised deep inelastic scattering experiments. We…

High Energy Physics - Phenomenology · Physics 2009-10-28 D. Indumathi

Production and decay rates, polarization and differential distributions of decay products are calculated for a heavy neutrino produced in charged pseudoscalar meson decay and decaying itself in charged pseudoscalar and lepton or a…

High Energy Physics - Phenomenology · Physics 2019-02-14 Jean-Michel Levy

Matrix variate beta (MVB) distributions are used in different fields of hypothesis testing, multivariate correlation analysis, zero regression, canonical correlation analysis and etc. In this approach a unified methodology is proposed to…

Statistics Theory · Mathematics 2014-09-05 A. Bekker , M. Arashi

Spectral functions of symmetric matrices -- those depending on matrices only through their eigenvalues -- appear often in optimization. A cornerstone variational analytic tool for studying such functions is a formula relating their…

Optimization and Control · Mathematics 2015-07-23 D. Drusvyatskiy , C. Kempton

We discuss a bivariate beta distribution that can model arbitrary beta-distributed marginals with a positive correlation. The distribution is constructed from six independent gamma-distributed random variates. We show how the parameters of…

Statistics Theory · Mathematics 2021-06-03 Susanne Trick , Frank Jäkel , Constantin A. Rothkopf

We determine the fully resolved equilibrium density profiles for two binary hard-sphere crystal structures using classical density functional theory through the White Bear II functional from fundamental measure theory. While for the…

Statistical Mechanics · Physics 2026-04-21 Alessandro Simon , Martin Oettel

We investigate convex polytopes of doubly stochastic matrices having special structures: symmetric, Hankel symmetric, centrosymmetric, and both symmetric and Hankel symmetric. We determine dimensions of these polytopes and classify their…

Combinatorics · Mathematics 2017-12-11 Richard R. Brualdi , Lei Cao

It is proved that the sum of n independent but non-identically distributed doubly truncated Normal distributions converges in distribution to a Normal distribution. It is also shown how the result can be applied in estimating a constrained…

Statistics Theory · Mathematics 2021-07-30 Hao Chen , Lanshan Han , Alvin Lim

Several numerical evaluations of the density and distribution of convolution of independent gamma variables are compared in their accuracy and speed. In application to renewal processes, an efficient formula is derived for the probability…

Computation · Statistics 2022-12-15 Chaoran Hu , Vladimir Pozdnyakov , Jun Yan

The situation of the metastable phase decay on the several types of heterogeneous centers is considered. The method to spread the monodisperse approximation on the situation of the strong unsymmetry is presented. The simple analytical…

Statistical Mechanics · Physics 2007-05-23 V. Kurasov

The spin structure of wave functions is reflected in the magnetic structure of the one-particle density matrix. Indeed, for single determinants we can use either one to determine the other. In this work we discuss how one can simply examine…

Chemical Physics · Physics 2020-05-14 Thomas M. Henderson , Carlos A. Jimenez-Hoyos , Gustavo E. Scuseria

A class of discrete flavor-symmetry-based models predicts constrained neutrino mass matrix schemes that lead to specific neutrino mass sum-rules (MSR). We show how these theories may constrain the absolute scale of neutrino mass, leading in…

High Energy Physics - Phenomenology · Physics 2015-06-03 L. Dorame , D. Meloni , S. Morisi , E. Peinado , J. W. F. Valle

We show that density functions of a $(\alpha,1,\beta)$-superprocesses are almost sure multifractal for $\alpha>\beta+1$, $\beta\in(0,1)$ and calculate the corresponding spectrum of singularities.

Probability · Mathematics 2015-11-18 Leonid Mytnik , Vitali Wachtel

We study N=(0,2) deformed (2,2) two-dimensional sigma models. Such heterotic models were discovered previously on the world sheet of non-Abelian strings supported by certain four-dimensional N=1 theories. We study geometric aspects and…

High Energy Physics - Theory · Physics 2015-06-19 Jin Chen , Xiaoyi Cui , Mikhail Shifman , Arkady Vainshtein

The aim of this paper is to study a dimorphic property associated with two different sums of identically independent Bernoulli random variables having two different families of probability mass functions. In addition, we give two…

Number Theory · Mathematics 2022-01-03 taekyun Kim , Dae san kim , Hyunseok Lee , Seongho Park

In this paper, we study the matrix denosing model $Y=S+X$, where $S$ is a low-rank deterministic signal matrix and $X$ is a random noise matrix, and both are $M\times n$. In the scenario that $M$ and $n$ are comparably large and the signals…

Statistics Theory · Mathematics 2020-07-08 Zhigang Bao , Xiucai Ding , Ke Wang
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