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We give a simple proof of the Kernel theorem for the space of tempered ultradistributions of Beurling - Komatsu type, using the characterization of Fourier-Hermite coefficients of the elements of the space. We prove in details that the test…

Functional Analysis · Mathematics 2007-05-23 Z. Lozanov-Crvenkovic , D. Perisic

A semilinear parabolic problem of second order with an unknown time-convolution kernel is considered. The missing kernel is recovered from an additional integral measurement. The existence, uniqueness and regularity of a weak solution is…

Analysis of PDEs · Mathematics 2014-06-19 R. H. De Staelen , M. Slodička

Several new transformations for q-binomial coefficients are found, which have the special feature that the kernel is a polynomial with nonnegative coefficients. By studying the group-like properties of these positivity preserving…

Combinatorics · Mathematics 2009-12-09 Alexander Berkovich , S. Ole Warnaar

Convergence of the Schwinger --- DeWitt expansion for the evolution operator kernel for special class of potentials is studied. It is shown, that this expansion, which is in general case asymptotic, converges for the potentials considered…

High Energy Physics - Theory · Physics 2007-05-23 V. A. Slobodenyuk

We consider Kemp's q-analogue of the binomial distribution. Several convergence results involving the classical binomial, the Heine, the discrete normal, and the Poisson distribution are established. Some of them are q-analogues of…

Probability · Mathematics 2008-04-04 Stefan Gerhold , Martin Zeiner

Consider a setting with multiple units (e.g., individuals, cohorts, geographic locations) and outcomes (e.g., treatments, times, items), where the goal is to learn a multivariate distribution for each unit-outcome entry, such as the…

Machine Learning · Statistics 2025-10-21 Kyuseong Choi , Jacob Feitelberg , Caleb Chin , Anish Agarwal , Raaz Dwivedi

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

This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new. The first development is bringing predictive distributions into machine…

Machine Learning · Computer Science 2017-10-25 Vladimir Vovk , Ilia Nouretdinov , Valery Manokhin , Alex Gammerman

A q-analogue of Erdelyi's formula for the Hankel transform of the product of Laguerre polynomials is derived using the quantum linking groupoid between the quantum SU(2) and E(2) groups. The kernel of the q-Hankel transform is given by the…

Classical Analysis and ODEs · Mathematics 2015-07-14 Kenny De Commer , Erik Koelink

In this paper we consider the mathematical relationship between nonlocal interactions of convolution type and multiple diffusive substances in high dimensions. Motivated by that the nonlocal evolution equations reproduce similar patterns to…

Analysis of PDEs · Mathematics 2025-11-07 Hiroshi Ishii , Yoshitaro Tanaka

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

Our primary result concerns the positivity of specific kernels constructed using the $q$-ultraspherical polynomials. In other words, it concerns a two-parameter family of bivariate, compactly supported distributions. Moreover, this family…

Functional Analysis · Mathematics 2024-03-20 Paweł J. Szabłowski

We study a family of convolution operators whose kernels have a singularity on the unit sphere. As a result, we prove the regarding L^p-L^q Sobolev inequalities.

Classical Analysis and ODEs · Mathematics 2022-03-15 Zipeng Wang

In this work, a general definition of Convolution between two arbitrary Tempered Ultradistributions is given. When one of the Tempered Ultradistributions is rapidly decreasing this definition coincides with the definition of J. Sebastiao e…

High Energy Physics - Theory · Physics 2007-05-23 C. G. Bollini , T. Escobar , M. C. Rocca

The big empirical success of group equivariant networks has led in recent years to the sprouting of a great variety of equivariant network architectures. A particular focus has thereby been on rotation and reflection equivariant CNNs for…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Maurice Weiler , Gabriele Cesa

In this note we announce that under general hypotheses, wavelet-type expansions (of functions in $L^p,\ 1\leq p \leq \infty$, in one or more dimensions) converge pointwise almost everywhere, and identify the Lebesgue set of a function as a…

Functional Analysis · Mathematics 2016-09-06 Susan E. Kelly , Mark A. Kon , Louise A. Raphael

The distribution regression problem encompasses many important statistics and machine learning tasks, and arises in a large range of applications. Among various existing approaches to tackle this problem, kernel methods have become a method…

Statistics Theory · Mathematics 2025-09-22 François Bachoc , Louis Béthune , Alberto González-Sanz , Jean-Michel Loubes

In this paper we define and study the Dunkl convolution product and the Dunkl transform on spaces of distributions on $ \mathbb{R}^d$. By using the main results obtained, we study the hypoelliptic Dunkl convolution equations in the space of…

Functional Analysis · Mathematics 2007-05-23 Hatem Mejjaoli

The functions on a lattice generated by the integer degrees of $q^2$ are considered, 0<q<1. The $q^2$-translation operator is defined. The multiplicators and the $q^2$-convolutors are defined in the functional spaces which are dual with…

Quantum Algebra · Mathematics 2009-10-31 V. -B. K. Rogov

In this paper we consider the kernel of the radially deformed Fourier transform introduced in the context of Clifford analysis in [10]. By adapting the Laplace transform method from [4], we obtain the Laplace domain expressions of the…

Classical Analysis and ODEs · Mathematics 2024-08-09 Hendrik De Bie , Ze Yang