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We study self-adjoint semigroups of partial isometries on a Hilbert space. These semigroups coincide precisely with faithful representations of abstract inverse semigroups. Groups of unitary operators are specialized examples of…

Functional Analysis · Mathematics 2013-06-13 Alexey I. Popov , Heydar Radjavi

We re-examine the appearance of semiheaps and (para-associative) ternary algebras in quantum mechanics. In particular, we review the construction of a semiheap on a Hilbert space and the set of bounded operators on a Hilbert space. The new…

Mathematical Physics · Physics 2022-01-19 Andrew James Bruce

We review some recent progress in quantum field theory in non-commutative space, focusing onto the fuzzy sphere as a non-perturbative regularisation scheme. We first introduce the basic formalism, and discuss the limits corresponding to…

High Energy Physics - Theory · Physics 2008-12-19 Marco Panero

What is a vector field on a C*-algebra is defined. Its relation to semigroups of endomorphisms was researched. Some results given about those vector fields and semigroups. There are also various constructions of semigroups including one…

Mathematical Physics · Physics 2012-12-04 Innocenti Maresin

We study isometric representations of the semigroup $\mathbb{Z}_+\backslash \{1\}$. Notion of an inverse representation is introduced and a complete description (up to unitary equivalence) of such representations is given. Also, we study a…

Operator Algebras · Mathematics 2013-03-05 Suren A. Grigoryan , Vardan H. Tepoyan

The possibility of defining sesquilinear forms starting from one or two sequences of elements of a Hilbert space is investigated. One can associate operators to these forms and in particular look for conditions to apply representation…

Functional Analysis · Mathematics 2023-10-31 Rosario Corso

We investigate some new classes of operator algebras which we call semi-$\sigma$-finite subdiagonal and Riesz approximable. These constitute the most general setting to date for a noncommutative Hardy space theory based on Arveson's…

Operator Algebras · Mathematics 2023-07-28 David P. Blecher , Louis E. Labuschagne

In this paper some fundamental relationships of a gamma semigroup and its operator semigroups in terms of intuitionistic fuzzy subsets, intuitionistic fuzzy ideals, intuitionistic fuzzy prime(semiprime) ideals, intuitionistic fuzzy ideal…

General Mathematics · Mathematics 2011-02-02 Sujit Kumar Sardar , Samit Kumar Majumder , Manasi Mandal

An introductory overview of vector spaces, algebras, and linear geometries over an arbitrary commutative field is given. Quotient spaces are emphasized and used in constructing the exterior and the symmetric algebras of a vector space.…

History and Overview · Mathematics 2011-10-18 Richard A. Smith

We develop the basic constructions of homological algebra in the (appropriately defined) unbounded derived categories of modules over algebras over coalgebras over noncommutative rings (which we call semialgebras over corings). We define…

Category Theory · Mathematics 2014-05-12 Leonid Positselski

The rank-three tensor models, which have a rank-three tensor as their only dynamical variable, may be interpreted as models of dynamical fuzzy spaces. In this interpretation, the generalized Hermiticity condition on the rank-three tensor…

High Energy Physics - Theory · Physics 2012-04-05 Naoki Sasakura

The author studies the Smarandache Fuzzy Algebra, which, like its predecessor Fuzzy Algebra, arose from the need to define structures that were more compatible with the real world where the grey areas mattered, not only black or white. This…

General Mathematics · Mathematics 2007-05-23 Dr. W. B. Vasantha Kandasamy

Deep learning has been successfully applied to many classification problems including underwater challenges. However, a long-standing issue with deep learning is the need for large and consistently labeled datasets. Although current…

Computer Vision and Pattern Recognition · Computer Science 2021-10-14 Lars Schmarje , Johannes Brünger , Monty Santarossa , Simon-Martin Schröder , Rainer Kiko , Reinhard Koch

A long-standing issue with deep learning is the need for large and consistently labeled datasets. Although the current research in semi-supervised learning can decrease the required amount of annotated data by a factor of 10 or even more,…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Lars Schmarje , Johannes Brünger , Monty Santarossa , Simon-Martin Schröder , Rainer Kiko , Reinhard Koch

Semi-entwining structures are proposed as concepts simpler than entwining structures, yet they are shown to have interesting applications in constructing intertwining operators and braided algebras, lifting functors, finding solutions for…

Quantum Algebra · Mathematics 2013-05-13 Florin F. Nichita , Deepak Parashar , Bartosz Zielinski

We review the description of scalar field theories on fuzzy spaces by Hermitian random matrix models. After reminding the reader of the relevant aspects of the random matrix theory and construction of the fuzzy spaces, we summarize the most…

High Energy Physics - Theory · Physics 2020-06-24 Mária Šubjaková , Juraj Tekel

Motivated by the optimality principles for non-subdifferentiable optimization problems, we introduce new relative subdifferentials and examine some properties for relatively lower semicontinuous functions including $\epsilon$-regular…

Optimization and Control · Mathematics 2024-10-15 Vo Duc Thinh , Thai Doan Chuong , Xiaolong Qin

We study fiber bundles where the fibers are not a group $G$, but a free $G$-space with disjoint orbits. These bundles closely resemble principal bundles, hence we call them semi-principal bundles. The study of such bundles is facilitated by…

Differential Geometry · Mathematics 2025-01-24 Eric J. Pap , Holger Waalkens

The purpose of this note is to show how some results from the theory of partial differential equations apply to the study of pseudo-spectra of non-self-adjoint operators, which is a topic of current interest in applied mathematics.

Analysis of PDEs · Mathematics 2011-11-10 Nils Dencker , Johannes Sjoestrand , Maciej Zworski

Vector-valued learning, where the output space admits a vector-valued structure, is an important problem that covers a broad family of important domains, e.g. multi-task learning and transfer learning. Using local Rademacher complexity and…

Machine Learning · Computer Science 2023-08-30 Jian Li , Yong Liu , Weiping Wang