Results 1 to 10 of about 1,059,681 (321)

The Kernel of a Block of a Group Algebra [PDF]

open access: bronzeProceedings of the American Mathematical Society, 1973
Avoiding the theory of characters of finite groups and group algebras over fields of characteristic zero a ring theoretical proof is given for R. Brauer's theorem which asserts that the (modular) kernel of a block of a group algebra FG of a finite group ...
Gerhard O. Michler
semanticscholar   +3 more sources

Convolutional kernel function algebra [PDF]

open access: goldFrontiers in Computer Science, 2022
Many systems for image manipulation, signal analysis, machine learning, and scientific computing make use of discrete convolutional filters that are known before computation begins.
Edward Stow, Paul H. J. Kelly
doaj   +5 more sources

Invertibility in the flag kernels algebra on the Heisenberg group [PDF]

open access: yesJournal of Fourier Analysis and Applications, 2015
Flag kernels are tempered distributions which generalize these of Calderon-Zygmund type. For any homogeneous group $\mathbb{G}$ the class of operators which acts on $L^{2}(\mathbb{G})$ by convolution with a flag kernel is closed under composition. In the
Kępa, Grzegorz
core   +5 more sources

Kernel approximation on algebraic varieties [PDF]

open access: yesSIAM Journal on Applied Algebra and Geometry, 2021
Low-rank approximation of kernels is a fundamental mathematical problem with widespread algorithmic applications. Often the kernel is restricted to an algebraic variety, e.g., in problems involving sparse or low-rank data.
Jason M. Altschuler, P. Parrilo
semanticscholar   +3 more sources

Block-encoding dense and full-rank kernels using hierarchical matrices: applications in quantum numerical linear algebra [PDF]

open access: yesQuantum, 2022
Many quantum algorithms for numerical linear algebra assume black-box access to a block-encoding of the matrix of interest, which is a strong assumption when the matrix is not sparse.
Quynh T. Nguyen   +2 more
doaj   +3 more sources

Kernel L-Ideals and L-Congruence on a Subclass of Ockham Algebras [PDF]

open access: goldJournal of Mathematics, 2022
In this paper, we study L-congruences and their kernel in a subclass Kn,0 of the variety of Ockham algebras A. We prove that the class of kernel L-ideals of an Ockham algebra forms a complete Heyting algebra.
Teferi Getachew Alemayehu   +2 more
doaj   +2 more sources

The inner kernel theorem for a certain Segal algebra [PDF]

open access: hybridMonatshefte für Mathematik (Print), 2022
The Segal algebra S0(G)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\
Hans G. Feichtinger, Mads S. Jakobsen
openalex   +3 more sources

A vertex operator algebra construction of the colour-kinematics dual numerator [PDF]

open access: yesJournal of High Energy Physics, 2018
We derive a vertex operator based expression for the kinematic numerators of Yang-Mills amplitudes by applying the momentum kernel formalism to open string amplitudes. The expression involves an α ′ -weighted commutator induced by the monodromy relations
Chih-Hao Fu, Pierre Vanhove, Yihong Wang
doaj   +2 more sources

Algebraicity of the Bergman Kernel

open access: greenMathematische Annalen, 2020
Our main result introduces a new way to characterize two-dimensional finite ball quotients by algebraicity of their Bergman kernels. This characterization is particular to dimension two and fails in higher dimensions, as is illustrated by a counterexample in dimension three constructed in this paper.
Peter Ebenfelt, Ming Xiao, Hang Xu
openalex   +4 more sources

Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs [PDF]

open access: greenACM Transactions on Mathematical Software, 2019
Batched dense linear algebra kernels are becoming ubiquitous in scientific applications, ranging from tensor contractions in deep learning to data compression in hierarchical low-rank matrix approximation.
Ali Charara   +2 more
openalex   +2 more sources

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