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In this paper we study algebraic supergroups and their coadjoint orbits as affine algebraic supervarieties. We find an algebraic deformation quantization of them that can be related to the fuzzy spaces of non commutative geometry.

Quantum Algebra · Mathematics 2009-11-10 R. Fioresi , M. A. Lledo

We characterize bijections on matrix spaces (operator algebras) preserving full rank (invertibility) of differences of matrix (operator) pairs in both directions.

Rings and Algebras · Mathematics 2024-02-05 Hans Havlicek , Peter Šemrl

In a recent work of Matteo Mio on compact quantitative equational theories (here compact means that all its consequences are derivable by means of finite proofs) convex algebras on the carrier set [0,1] whose operations are monotone and…

Logic in Computer Science · Computer Science 2026-03-17 Ana Sokolova , Harald Woracek

Graphs are used in almost every scientific discipline to express relations among a set of objects. Algorithms that compare graphs, and output a closeness score, or a correspondence among their nodes, are thus extremely important. Despite…

Discrete Mathematics · Computer Science 2020-11-17 Sam Safavi , José Bento

The connection between the commutativity of a family of $n\times n$ matrices and the generalized joint numerical ranges is studied. For instance, it is shown that ${\cal F}$ is a family of mutually commuting normal matrices if and only if…

Functional Analysis · Mathematics 2020-02-10 Chi-Kwong Li , Yiu-Tung Poon , Ya-Shu Wang

We study coadjoint orbitopes, i.e. convex hulls of coadjoint orbits of a compact Lie group. We show that all the faces of such an orbitope are exposed. The face structure is studied by means of the momentum map and it is shown that every…

Representation Theory · Mathematics 2013-04-19 Leonardo Biliotti , Alessandro Ghigi , Peter Heinzner

The reverse degree distance is a connected graph invariant closely related to the degree distance proposed in mathematical chemistry. We determine the unicyclic graphs of given girth, number of pendant vertices and maximum degree,…

Combinatorics · Mathematics 2011-07-13 Zhibin Du , Bo Zhou

We prove that for a bijective, unital, linear map between absolute order unit spaces is an isometry if, and only if, it is absolute value preserving. We deduce that, on (unital) $JB$-algebras, such maps are precisely Jordan isomorphisms.…

Functional Analysis · Mathematics 2019-03-14 Anil Kumar Karn , Amit kumar

Let G be a Lie group, $g = Lie(G)$ - its Lie algebra, $g*$ - the dual vector space and $\widehat G$ - the set of equivalence classes of unitary irreducible representations of $G$. The orbit method [1] establishes a correspondence between…

Representation Theory · Mathematics 2025-07-08 Dmitry Fuchs , Alexandre Kirillov

Motivated by M-theory, we define a new type of non-associative algebra involving usual and cubic matrices at the same time. The resulting algebra can be regarded as a two-term truncated $L_\infty$ algebra giving rise to a fundamental…

High Energy Physics - Theory · Physics 2025-04-09 Ralph Blumenhagen , Antonia Paraskevopoulou , Thomas Raml

A compatible associative algebra is a vector space equipped with two associative multiplication structures that interact in a certain natural way. This article presents the classification of these algebras with dimension less than four, as…

Rings and Algebras · Mathematics 2024-12-05 Erik Mainellis , Bouzid Mosbahi , Ahmed Zahari

We obtain sequences of inclusion sets for the spectrum, essential spectrum, and pseudospectrum of banded, in general non-normal, matrices of finite or infinite size. Each inclusion set is the union of the pseudospectra of certain…

Spectral Theory · Mathematics 2023-06-21 Simon N. Chandler-Wilde , Ratchanikorn Chonchaiya , Marko Lindner

We first review the definition of the angle between subspaces and how it is computed using matrix algebra. Then we introduce the Grassmann and Clifford algebra description of subspaces. The geometric product of two subspaces yields the full…

Metric Geometry · Mathematics 2013-06-10 Eckhard Hitzer

Distance metric learning is a branch of machine learning that aims to learn distances from the data, which enhances the performance of similarity-based algorithms. This tutorial provides a theoretical background and foundations on this…

Machine Learning · Computer Science 2020-08-20 Juan Luis Suárez-Díaz , Salvador García , Francisco Herrera

For an arbitrary octonion algebra, we determine all subalgebras. It turns out that every subalgebra of dimension less than four is associative, while every subalgebra of dimension greater than four is not associative. In any split octonion…

Rings and Algebras · Mathematics 2024-10-15 Norbert Knarr , Markus J. Stroppel

Every state on the algebra $M_n$ of complex nxn matrices restricts to a state on any matrix system. Whereas the restriction to a matrix system is generally not open, we prove that the restriction to every *-subalgebra of $M_n$ is open. This…

Functional Analysis · Mathematics 2025-06-23 Stephan Weis

We study a class of holomorphic matrix models. The integrals are taken over middle dimensional cycles in the space of complex square matrices. As the size of the matrices tends to infinity, the distribution of eigenvalues is given by a…

High Energy Physics - Theory · Physics 2009-11-10 Giovanni Felder , Roman Riser

Minimizing the Euclidean distance to a set arises frequently in applications. When the set is algebraic, a measure of complexity of this optimization problem is its number of critical points. In this paper we provide a general framework to…

Optimization and Control · Mathematics 2015-06-17 Dmitriy Drusvyatskiy , Hon-Leung Lee , Rekha R. Thomas

We study a class of coadjoint orbits of the area preserving diffeomorphism group of the plane consisting of vortex loops, namely closed curves in the plane decorated with one-forms (vorticity densities) allowed to have zeros.

Differential Geometry · Mathematics 2026-01-27 Ioana Ciuclea , Cornelia Vizman

This is an exercise based approach to matrix groups. The idea is to collect a bunch of exercises at one place which anyone with basic knowledge of linear algebra can attempt to solve and learn matrix groups and algebraic groups.

Group Theory · Mathematics 2019-07-30 Anupam Singh
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