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Orthogonal polynomials with respect to the weight function $w_{\beta,\gamma}(t) = t^\beta (1-t)^\gamma$, $\gamma > -1$, on the conic surface $\{(x,t): \|x\| = t, \, x \in \mathbb{R}^d, \, t \le 1\}$ are studied recently, and are shown to be…

Classical Analysis and ODEs · Mathematics 2026-05-27 Lidia Fernandez , Teresa Perez , Miguel Pinar , Yuan Xu

It has been shown recently [10] that Cauchy transforms of orthogonal polynomials appear naturally in general correlation functions containing ratios of characteristic polynomials of random NxN Hermitian matrices. Our main goal is to…

High Energy Physics - Theory · Physics 2011-07-19 G. Akemann , Y. V. Fyodorov

Strongly non-Gaussian ensembles of large random matrices possessing unitary symmetry and logarithmic level repulsion are studied both in presence and absence of hard edge in their energy spectra. Employing a theory of polynomials orthogonal…

Condensed Matter · Physics 2009-10-28 V. Freilikher , E. Kanzieper , I. Yurkevich

We introduce the ``skew apolarity lemma'' and we use it to give algorithms for the skew-symmetric rank and the decompositions of tensors in {$\bigwedge^dV_{\mathbb{C}}$ with $d\leq 3$ and $\dim V_{\mathbb{C}} \leq 8$}. New algorithms to…

Algebraic Geometry · Mathematics 2019-08-08 Enrique Arrondo , Alessandra Bernardi , Pedro Macias Marques , Bernard Mourrain

We analyze the effect of symmetrization in the theory of multiple orthogonal polynomials. For a symmetric sequence of type II multiple orthogonal polynomials satisfying a high-term recurrence relation, we fully characterize the Weyl…

Classical Analysis and ODEs · Mathematics 2021-02-19 Amílcar Branquinho , Edmundo J. Huertas

In this work we show how to get advantage from the Riemann--Hilbert analysis in order to obtain information about the matrix orthogonal polynomials and functions of second kind associated with a weight matrix. We deduce properties for the…

Classical Analysis and ODEs · Mathematics 2023-06-01 Amílcar Branquinho , Ana Foulquié-Moreno , Assil Fradi , Manuel Mañas

In this paper a general theory of semi-classical matrix orthogonal polynomials is developed. We define the semi-classical linear functionals by means of a distributional equation $D(u A) = u B,$ where $A$ and $B$ are matrix polynomials.…

Classical Analysis and ODEs · Mathematics 2007-05-23 M. J. Cantero , L. Moral , L. Velazquez

The purpose of this paper is to find the characterization of the Sheffer polynomial sets satisfying the d-orthogonality conditions. The generating function form of these polynomial sets is given in Theorem 2.2. As applications of the…

Classical Analysis and ODEs · Mathematics 2016-03-24 Serhan Varma

Exact eigenvalue correlation functions are computed for large $N$ hermitian one-matrix models with eigenvalues distributed in two symmetric cuts. An asymptotic form for orthogonal polynomials for arbitrary polynomial potentials that support…

Condensed Matter · Physics 2009-10-30 Nivedita Deo

This paper constitutes a first attempt to do analysis with skew polynomials. Precisely, our main objective is to develop a theory of residues for skew rational functions (which are, by definition, the quotients of two skew polynomials). We…

Rings and Algebras · Mathematics 2021-06-18 Xavier Caruso

A non-classical Weyl theory is developed for skew-self-adjoint Dirac systems with rectangular matrix potentials. The notion of the Weyl function is introduced and direct and inverse problems are solved. A Borg-Marchenko type uniqueness…

Classical Analysis and ODEs · Mathematics 2012-11-29 B. Fritzsche , B. Kirstein , I. Ya. Roitberg , A. L. Sakhnovich

Let K be the product O(n_1) x O(n_2) x ... x O(n_r) of orthogonal groups. Let V the r-fold tensor product of defining representations of each orthogonal factor. We compute a stable formula for the dimension of the K-invariant algebra of…

Representation Theory · Mathematics 2012-09-25 Lauren Kelly Williams

We present here a probabilistic approach to the generation of new polynomials in two discrete variables. This extends our earlier work on the 'classical' orthogonal polynomials in a previously unexplored direction, resulting in the…

Classical Analysis and ODEs · Mathematics 2008-12-22 Michael R. Hoare , Mizan Rahman

Dual complex numbers can represent rigid body motion in 2D spaces. Dual complex matrices are linked with screw theory, and have potential applications in various areas. In this paper, we study low rank approximation of dual complex…

Numerical Analysis · Mathematics 2022-02-01 Liqun Qi , David M. Alexander , Zhongming Chen , Chen Ling , Ziyan Luo

We introduce and study action of quantum groups on skew polynomial rings and related rings of quotients. This leads to a ``q-deformation'' of the Gel'fand-Kirillov conjecture which we partially prove. We propose a construction of…

High Energy Physics - Theory · Physics 2011-07-19 Kenji Iohara , Feodor Malikov

In this paper, we study the uniform and couniform dimensions of inverse polynomial modules over skew Ore polynomials.

Rings and Algebras · Mathematics 2024-08-15 Sebastián Higuera , Armando Reyes

The concepts of evaluation and interpolation are extended from univariate skew polynomials to multivariate skew polynomials, with coefficients over division rings. Iterated skew polynomial rings are in general not suitable for this purpose.…

Rings and Algebras · Mathematics 2018-11-02 Umberto Martínez-Peñas , Frank R. Kschischang

In this paper, we {\color{black}study four kinds of polynomials orthogonal with the singularly perturbed Gaussian weight $w_{\rm SPG}(x)$, the deformed Freud weight $w_{\rm DF}(x)$, the jumpy Gaussian weight $w_{\rm JG}(x)$, and the…

Classical Analysis and ODEs · Mathematics 2024-12-20 Mengkun Zhu , Yuting Chen , Jianduo Yu , Chuanzhong Li

The product of a complex skew-symmetric matrix and its conjugate transpose is a positive semi-definite Hermitian matrix with nonnegative eigenvalues, with a property that each distinct positive eigenvalue has even multiplicity. This…

Rings and Algebras · Mathematics 2021-10-19 Liqun Qi , Ziyan Luo

Optimizing and certifying the positivity of polynomials are fundamental primitives across mathematics and engineering applications, from dynamical systems to operations research. However, solving these problems in practice requires large…

Machine Learning · Computer Science 2023-12-05 Hannah Lawrence , Mitchell Tong Harris