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A large class of supersymmetric extended objects is considered from the viewpoint of embeddings of super worldsurfaces into target superspaces. It is shown that a simple geometrical condition leads to the equations of motion for the brane…

High Energy Physics - Theory · Physics 2009-10-30 P. S. Howe , E. Sezgin

Brief review of concepts and unsolved problems in the theory of matrix models.

High Energy Physics - Theory · Physics 2015-06-26 A. Morozov

We study operator algebras associated to integral domains. In particular, with respect to a set of natural identities we look at the possible nonselfadjoint operator algebras which encode the ring structure of an integral domain. We show…

Operator Algebras · Mathematics 2013-07-23 Benton L. Duncan

We study connections between closure operators on an algebra $(A,\Om)$ and congruences on the extended power algebra defined on the same algebra. We use these connections to give an alternative description of the lattice of all subvarieties…

Rings and Algebras · Mathematics 2015-08-18 Agata Pilitowska , Anna Zamojska-Dzienio

We prove bilinear inequalities for differential operators in $\mathbb{R}^2$. Such type inequalities turned out to be useful for anisotropic embedding theorems for overdetermined systems and the limiting order summation exponent. However,…

Classical Analysis and ODEs · Mathematics 2016-04-07 Dmitriy M. Stolyarov

We generalize the notion of an intertwining operator to N-graded weak modules over a vertex operator algebra and study their properties. We show a formula for the dimensions of these intertwining operators in terms of modules over the Zhu…

Quantum Algebra · Mathematics 2017-09-21 Kenichiro Tanabe

In recent years, there have been significant advances in the use of deep learning methods in inverse problems such as denoising, compressive sensing, inpainting, and super-resolution. While this line of works has predominantly been driven…

Machine Learning · Statistics 2023-01-31 Jonathan Scarlett , Reinhard Heckel , Miguel R. D. Rodrigues , Paul Hand , Yonina C. Eldar

Supervised deep learning is most commonly applied to difficult problems defined on large and often extensively curated datasets. Here we demonstrate the ability of deep representation learning to address problems of classification and…

Machine Learning · Computer Science 2022-11-30 Benjamin L. Badger

This paper discusses the modeling of inverters used in distributed energy resources in steady state. Modeling the interaction between distribution grids and inverter-based resources is crucial to understand the consequences for the…

Optimization and Control · Mathematics 2024-03-13 Rahmat Heidari , Frederik Geth

A summary of the construction procedure of generalized versions of Baxter's Q-operator is given. Illustrated by several figures and diagrams the use of representation theory is explained step-by-step avoiding technical details. The relation…

Statistical Mechanics · Physics 2007-05-23 Christian Korff

Algebraic operads provide a powerful tool to understand the homotopy theory of the types of (co)algebras they encode. So far, the principal results and methods that this theory provides were only available in characteristic zero. The reason…

Algebraic Topology · Mathematics 2023-12-11 Brice Le Grignou , Victor Roca i Lucio

We describe algorithms for computing the induced nilpotent orbits in semisimple Lie algebras. We use them to obtain the induction tables for the Lie algebras of exceptional type. This also yields the classification of the rigid nilpotent…

Representation Theory · Mathematics 2009-07-09 W. A. de Graaf , A. G. Elashvili

The concept of complementability is extended from bounded operators to densely defined operators on Hilbert spaces. By introducing appropriate projections and decomposition techniques, a framework is developed for analyzing…

Functional Analysis · Mathematics 2025-11-27 Sachin Manjunath Naik , P. Sam Johnson

We introduce layers to modal type theories, which subsequently enables type theories for pattern matching on code in meta-programming and clean and straightforward semantics.

Logic in Computer Science · Computer Science 2024-03-01 Jason Z. S. Hu , Brigitte Pientka

Tabular deep-learning methods require embedding numerical and categorical input features into high-dimensional spaces before processing them. Existing methods deal with this heterogeneous nature of tabular data by employing separate…

Machine Learning · Computer Science 2025-02-18 Boshko Koloski , Andrei Margeloiu , Xiangjian Jiang , Blaž Škrlj , Nikola Simidjievski , Mateja Jamnik

Embedders play a central role in machine learning, projecting any object into numerical representations that can, in turn, be leveraged to perform various downstream tasks. The evaluation of embedding models typically depends on…

Machine Learning · Computer Science 2024-11-19 Maxime Darrin , Philippe Formont , Ismail Ben Ayed , Jackie CK Cheung , Pablo Piantanida

In this note we describe conditions under which, in idempotent functional analysis, linear operators have integral representations in terms of idempotent integral of V. P. Maslov. We define the notion of nuclear idempotent semimodule and…

Functional Analysis · Mathematics 2007-05-23 Grigori Litvinov , Grigori Shpiz

The Kirchberg Embedding Problem (KEP) asks if every C*-algebra embeds into an ultrapower of the Cuntz algebra $\cal O_2$. Motivated by the recent refutation of the Connes Embedding Problem using the quantum complexity result MIP*=RE, we…

Operator Algebras · Mathematics 2023-03-03 Isaac Goldbring , Bradd Hart

Some new trace inequalities for operators in Hilbert spaces are provided. The superadditivity and monotonicity of some associated functionals are investigated and applications for power series of such operators are given. Some trace…

Functional Analysis · Mathematics 2014-09-24 Silvestru Sever Dragomir

In this paper we introduce a very general setting dealing with the superposition of operators of any positive order and provide a systematic study of them. We also provide examples and counterexamples, as well as characterizing properties…

Analysis of PDEs · Mathematics 2025-10-10 Serena Dipierro , Sven Jarohs , Enrico Valdinoci