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This paper studies a particular class of higher order conformally invariant dif- ferential operators and related integral operators acting on functions taking values in particular finite dimensional irreducible representations of the Spin…

Differential Geometry · Mathematics 2016-08-18 Chao Ding , Raymond Walter , John Ryan

In this note, it is proved the existence of an infinitely generated multiplicative group consisting of entire functions that are, except for the constant function 1, hypercyclic with respect to the convolution operator associated to a given…

Functional Analysis · Mathematics 2017-10-31 Luis Bernal-González , J. Alberto Conejero , George Costakis , Juan B. Seoane-Sepúlveda

This paper investigates the eigenvalue problem of integral operators whose kernels can be expressed as a finite sum of pairwise products of single-variable functions, making them separable. By consdiering the matrix form of the separable…

Functional Analysis · Mathematics 2025-11-20 Soma Hirai , Ryoto Watanabe , Yuki Nishida , Masashi Iwasaki

We show that any function in a Bergman space with exponential type weights admits a representation in terms of an infinite series of kernel functions.

Complex Variables · Mathematics 2015-09-01 Hicham Arroussi , Jordi Pau

Compositional generalization (the ability to respond correctly to novel combinations of familiar components) is thought to be a cornerstone of intelligent behavior. Compositionally structured (e.g. disentangled) representations support this…

Machine Learning · Computer Science 2025-04-09 Samuel Lippl , Kim Stachenfeld

Explicit inversion formulas for a subclass of integral operators with $D$-difference kernels on a finite interval are obtained. A case of the positive operators is treated in greater detail. An application to the inverse problem to recover…

Classical Analysis and ODEs · Mathematics 2009-11-20 A. L. Sakhnovich , A. A. Karelin , J. Seck-Tuoh-Mora , G. Perez-Lechuga , M. Gonzalez-Hernandez

The logarithmic representation of infinitesimal generators is generalized to the cases when the evolution operator is unbounded. The generalized result is applicable to the representation of infinitesimal generators of unbounded evolution…

Functional Analysis · Mathematics 2023-01-11 Yoritaka Iwata

Given a compact of ${\bf R}^n$, there is always a doubling measure having it as its support. We use this fact to construct an integral operator that extends differentiable functions defined on any compact set of ${\bf R}^n$ to the whole of…

Classical Analysis and ODEs · Mathematics 2007-05-23 Jaume Gudayol

The general decomposition theory of exponential operators is briefly reviewed. A general scheme to construct independent determining equations for the relevant decomposition parameters is proposed using Lyndon words. Explicit formulas of…

Mathematical Physics · Physics 2009-12-04 Zengo Tsuboi , Masuo Suzuki

Given an operad P with a finite Groebner basis of relations, we study the generating functions for the dimensions of its graded components P(n). Under moderate assumptions on the relations we prove that the exponential generating function…

Quantum Algebra · Mathematics 2015-01-16 Anton Khoroshkin , Dmitri Piontkovski

In this article, we consider some generalizations of polynomial and exponential B-splines. Firstly, the extension from integral to complex orders is reviewed and presented. The second generalization involves the construction of uncountable…

Metric Geometry · Mathematics 2019-02-18 Peter Massopust

We consider positive semidefinite kernels valued in the $*$-algebra of adjointable operators on a VE-space (Vector Euclidean space) and that are invariant under actions of $*$-semigroups. A rather general dilation theorem is stated and…

Functional Analysis · Mathematics 2017-02-06 Serdar Ay , Aurelian Gheondea

We give a mathematical formalization of `generalized data parallel' operations, a concept that covers such common scientific kernels as matrix-vector multiplication, multi-grid coarsening, load distribution, and many more. We show that from…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-02-09 Victor Eijkhout

We consider the heat kernel for higher-derivative and nonlocal operators in $d$-dimensional Euclidean space-time and its asymptotic behavior. As a building block for operators of such type, we consider the heat kernel of the minimal…

High Energy Physics - Theory · Physics 2019-11-11 A. O. Barvinsky , P. I. Pronin , W. Wachowski

In this note we study the application of generalized fractional operators to a particular class of nonstandard Lagrangians. These are typical of dissipative systems and the corresponding Euler-Lagrange and Hamilton equations are analyzed.…

Mathematical Physics · Physics 2015-05-19 Giorgio S. Taverna , Delfim F. M. Torres

We show how a rescaling of fractional operators with bounded kernels may help circumvent their documented deficiencies, for example, the inconsistency at zero or the lack of inverse integral operator. On the other hand, we build a novel…

Probability · Mathematics 2024-11-18 Marc Jornet

A generalized quantum distribution function is introduced. The corresponding ordering rule for non-commuting operators is given in terms of a single parameter. The origin of this parameter is in the extended canonical transformations that…

Quantum Physics · Physics 2007-05-23 S. Nasiri , S. Khademi , S. Bahrami , F. Taati

Dunkl operators associated with finite reflection groups generate a commutative algebra of differential-difference operators. There exists a unique linear operator called intertwining operator which intertwines between this algebra and the…

Classical Analysis and ODEs · Mathematics 2020-10-26 Hendrik De Bie , Pan Lian

We develop a new setting for the exponential principle in the context of multisort species, where indecomposable objects are generated intrinsically instead of being given in advance. Our approach uses the language of functors and natural…

Combinatorics · Mathematics 2011-02-01 Peter Cameron , Christian Krattenthaler , Thomas W. Müller

Computing the expectation of kernel functions is a ubiquitous task in machine learning, with applications from classical support vector machines to exploiting kernel embeddings of distributions in probabilistic modeling, statistical…

Machine Learning · Computer Science 2021-07-23 Wenzhe Li , Zhe Zeng , Antonio Vergari , Guy Van den Broeck