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Four families of special functions, depending on n variables, are studied. We call them symmetric and antisymmetric multivariate sine and cosine functions. They are given as determinants or antideterminants of matrices, whose matrix…

Classical Analysis and ODEs · Mathematics 2009-11-13 A. Klimyk , J. Patera

In this paper, we propose a new construction for the Mexican hat wavelets on shapes with applications to partial shape matching. Our approach takes its main inspiration from the well-established methodology of diffusion wavelets. This novel…

Graphics · Computer Science 2020-09-16 M. Kirgo , S. Melzi , G. Patanè , E. Rodolà , M. Ovsjanikov

The heat kernel or Bargmann-Segal transform on a noncompact Riemannian symmetric space X=G/K maps a square integrable function on X to a holomorphic function on the complex crown. In this article we determine the range of this transform.

Classical Analysis and ODEs · Mathematics 2007-05-23 Bernhard Kroetz , Gestur Olafsson , Robert Stanton

A higher order theory of gravitation is considered which is obtained by modifying Einstein field equations. The Lagrange used to modify this in the form a polynomial in (scalar curvature) R. In this equation we have studied spherical…

General Relativity and Quantum Cosmology · Physics 2009-11-04 S. N. Pandey , B. K. Sinha

We consider the Szeg\H{o} reproducing kernel associated with the space of $H$-harmonic functions on the unit ball in n-dimensional space, i.e. functions that are characterized by being annihilated by the hyperbolic Laplacian. This paper…

Functional Analysis · Mathematics 2025-10-15 Matěj Moravík

We investigate some properties of non-symmetric Jack, Hermite and Laguerre polynomials which occur as the polynomial part of the eigenfunctions for certain Calogero-Sutherland models with exchange terms. For the non-symmetric Jack…

q-alg · Mathematics 2008-02-03 T. H. Baker , P. J. Forrester

This paper is concerned with spherical harmonics, and two refinements thereof: complex harmonics and symplectic harmonics. The reproducing kernels of the spherical and complex harmonics are explicitly given in terms of Gegenbauer or Jacobi…

Classical Analysis and ODEs · Mathematics 2017-08-04 Hendrik De Bie , Frank Sommen , Michael Wutzig

We present Spline-based Convolutional Neural Networks (SplineCNNs), a variant of deep neural networks for irregular structured and geometric input, e.g., graphs or meshes. Our main contribution is a novel convolution operator based on…

Computer Vision and Pattern Recognition · Computer Science 2018-05-24 Matthias Fey , Jan Eric Lenssen , Frank Weichert , Heinrich Müller

The theory of quantum symmetric pairs is applied to $q$-special functions. Previous work shows the existence of a family $\chi$-spherical functions indexed by the integers for each Hermitian quantum symmetric pair. A distinguished family of…

Representation Theory · Mathematics 2025-02-27 Stein Meereboer

Compact convolutional neural networks gain efficiency mainly through depthwise convolutions, expanded channels and complex topologies, which contrarily aggravate the training process. Besides, 3x3 kernels dominate the spatial representation…

Computer Vision and Pattern Recognition · Computer Science 2019-05-23 Shuang Wu , Guanrui Wang , Pei Tang , Feng Chen , Luping Shi

We study the heat kernel of the sub-Laplacian L on the CR sphere S2n+1. An explicit and geometrically meaningful formula for the heat kernel is obtained. As a by-product we recover in a simple way the Green function of the conformal sub-…

Analysis of PDEs · Mathematics 2011-12-15 Fabrice Baudoin , Jing Wang

We introduce a class of non-commutative, complex, infinite-dimensional Heisenberg like Lie groups based on an abstract Wiener space. The holomorphic functions which are also square integrable with respect to a heat kernel measure $\mu$ on…

Probability · Mathematics 2008-09-30 Bruce Driver , Maria Gordina

The kernel polynomial method allows to sample overall spectral properties of a quantum system, while sparse diagonalization provides accurate information about a few important states. We present a method combining these two approaches…

Considering the kernel of an integral operator intertwining two realizations of the group of motions of the pseudo-Euclidian space, we derive two formulas for series containing Whittaker's functions or Weber's parabolic cylinder functions.…

Classical Analysis and ODEs · Mathematics 2023-06-22 J. Choi , I. A. Shilin

We study the space of biinvariants and zonal spherical functions associated to quantum symmetric pairs in the maximally split case. Under the obvious restriction map, the space of biinvariants is proved isomorphic to the Weyl group…

Quantum Algebra · Mathematics 2007-05-23 Gail Letzter

A systematic and unified approach to transformations and symmetries of general second order linear parabolic partial differential equations is presented. Equivalence group is used to derive the Appell type transformations, specifically…

Mathematical Physics · Physics 2017-08-11 F. Gungor

We consider the Dunkl intertwining operator $V_\alpha$ and its dual ${}^tV_\alpha$, we define and study the Dunkl Sonine operator and its dual on $\mathbb{R}$. Next, we introduce complex powers of the Dunkl Laplacian $\Delta_\alpha$ and…

Classical Analysis and ODEs · Mathematics 2008-12-31 Fethi Soltani

We prove several extension theorems for Roumieu ultraholomorphic classes of functions in sectors of the Riemann surface of the logarithm which are defined by means of a weight function or weight matrix. Our main aim is to transfer the…

Functional Analysis · Mathematics 2019-08-20 Javier Jiménez-Garrido , Javier Sanz , Gerhard Schindl

We reinvestigate the Calogero-Sutherland-type (CS-type) models and generalized hypergeometric functions. We construct the generalized CS operators for circular, Hermite, Laguerre, Jacobi and Bessel cases and establish the generalized…

High Energy Physics - Theory · Physics 2025-08-21 Fan Liu , Rui Wang , Jie Yang , Wei-Zhong Zhao

We consider Convolutional Neural Networks (CNNs) with 2D structured features that are symmetric in the spatial dimensions. Such networks arise in modeling pairwise relationships for a sequential recommendation problem, as well as secondary…

Machine Learning · Statistics 2022-03-07 Kehelwala Dewage Gayan Maduranga , Vasily Zadorozhnyy , Qiang Ye