English
Related papers

Related papers: Bispectral and (gl_N, gl_M) Dualities, Discrete Ve…

200 papers

We consider two principal bundles of embeddings with total space $Emb(M,N),$ with structure groups $Diff(M)$ and $Diff_+(M),$ where $Diff_+(M)$ is the groups of orientation preserving diffeomorphisms. The aim of this paper is to describe…

Differential Geometry · Mathematics 2016-01-05 Jean-Pierre Magnot

We study the ring of differential operators D(X) on the basic affine space X=G/U of a complex semisimple group G with maximal unipotent subgroup U. One of the main results shows that the cohomology group H^*(X,O_X) decomposes as a finite…

Representation Theory · Mathematics 2007-05-23 T. Levasseur , J. T. Stafford

Let $(M,g)$ be a pseudo-Riemannian manifold and $F_\lambda(M)$ the space of densities of degree $\lambda$ on $M$. We study the space $D^2_{\lambda,\mu}(M)$ of second-order differential operators from $F_\lambda(M)$ to $F_\mu(M)$. If $(M,g)$…

Differential Geometry · Mathematics 2007-05-23 C. Duval , V. Ovsienko

The ring $\text{Diff}_{\mathbf{h}}(n)$ of $\mathbf{h}$-deformed differential operators appears in the theory of reduction algebras. In this thesis, we construct the rings of generalized differential operators on the $\mathbf{h}$-deformed…

Mathematical Physics · Physics 2018-02-06 Basile Herlemont

A symmetric function of $N$ variables can be given in terms of symmetric polynomials of these variables. We determine those symmetric polynomials in which the dual differential operators take the neatest form when expressed in terms of our…

Classical Analysis and ODEs · Mathematics 2023-02-02 Shaul Zemel

For the class of quantum integrable models generated from the $q-$Onsager algebra, a basis of bispectral multivariable $q-$orthogonal polynomials is exhibited. In a first part, it is shown that the multivariable Askey-Wilson polynomials…

Mathematical Physics · Physics 2018-02-01 Pascal Baseilhac , Xavier Martin

Motivated by questions originating from the study of a class of shallow student-teacher neural networks, methods are developed for the analysis of spurious minima in classes of gradient equivariant dynamics related to neural nets. In the…

Machine Learning · Computer Science 2022-06-22 Yossi Arjevani , Michael Field

In recent years, algebras and modules of differential operators have been extensively studied. Equivariant quantization and dequantization establish a tight link between invariant operators connecting modules of differential operators on…

Representation Theory · Mathematics 2007-10-02 Yaël Frégier , Pierre Mathonet , Norbert Poncin

Given two real numbers, the $L^2$ functions whose Fourier transforms vanish with a certain rapidity near the given numbers are characterised as those that are expressible as the sum of a certain number of generalised finite differences that…

Classical Analysis and ODEs · Mathematics 2016-05-24 Rodney Nillsen

We completely characterize all nonlinear partial differential equations leaving a given finite-dimensional vector space of analytic functions invariant. Existence of an invariant subspace leads to a re duction of the associated dynamical…

solv-int · Physics 2007-05-23 Niky Kamran , Robert Milson , Peter Olver

In this article we study operators with a dimension $\Delta\sim O(N)$ and show that simple analytic expressions for the action of the dilatation operator can be found. The operators we consider are restricted Schur polynomials. There are…

High Energy Physics - Theory · Physics 2011-03-28 Warren Carlson , Robert de Mello Koch , Hai Lin

We make a generalization of the type C monomial space of a single variable, which was introduced in the construction of type C N-fold supersymmetry, to several variables. Then, we construct the most general quasi-solvable second-order…

High Energy Physics - Theory · Physics 2007-05-23 Toshiaki Tanaka

In this paper, the $mn$-dimensional space of tensor-product polynomials of two variables, of degree at most $(m-1)+(n-1)$, is considered. A theory of two-variate polynomials is developed by establishing the algebra and basic algebraic…

General Mathematics · Mathematics 2017-12-29 Dharm Prakash Singh , Amit Ujlayan

Qualitative and spectral properties of the form-sums S_{\pm}(V):=D_{\pm}^{2m}\dotplus V(x),\quad m\in \mathbb{N}, in the Hilbert space $L_{2}(0,1)$ are studied. Here the periodic $(D_{+})$ and the semiperiodic $(D_{-})$ differential…

Functional Analysis · Mathematics 2009-04-06 V. A. Mikhailets , V. M. Molyboga

This paper gives a classification of first order polynomial differential operators of form $\mathscr{X} = X_1(x_1,x_2)\delta_1 + X_2(x_1,x_2)\delta_2$, $(\delta_i = \partial/\partial x_i)$. The classification is given through the order of…

Classical Analysis and ODEs · Mathematics 2011-07-19 Jinzhi Lei

We obtain a family of functional identities satisfied by vector-valued functions of two variables and their geometric inversions. For this we introduce particular differential operators of arbitrary order attached to Gegenbauer polynomials.…

Representation Theory · Mathematics 2015-01-27 Toshiyuki Kobayashi , Toshihisa Kubo , Michael Pevzner

We present a framework for recovering/approximating unknown time-dependent partial differential equation (PDE) using its solution data. Instead of identifying the terms in the underlying PDE, we seek to approximate the evolution operator of…

Numerical Analysis · Mathematics 2020-05-05 Kailiang Wu , Dongbin Xiu

We introduce a new type of reduction of inversive difference polynomials that is associated with a partition of the basic set of automorphisms $\sigma$ and uses a generalization of the concept of effective order of a difference polynomial.…

Rings and Algebras · Mathematics 2023-09-12 Alexander Levin

A Drazin invertible Hilbert space operator $T\in \B$, with Drazin inverse $T_d$, is $(n,m)$-power D-normal, $T\in [(n,m) DN]$, if $[T_d^n,T^{*m}]=T^n_dT^{*m}-T^{*m}T_d^n=0$; $T$ is $(n,m)$-power D-quasinormal, $T\in [(n,m) DQN]$, if…

Functional Analysis · Mathematics 2019-10-31 B. P. Duggal , I. H. Kim

Neural Operators (NOs) have emerged as powerful tools for learning mappings between function spaces. Among them, the kernel integral operator has been widely used in universally approximating architectures. Following the original…

Machine Learning · Computer Science 2026-01-30 Haoze Song , Zhihao Li , Xiaobo Zhang , Zecheng Gan , Zhilu Lai , Wei Wang