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We introduce a multiparametric quantum superspace with $m$ even generators and $n$ odd generators whose commutation relations are in the sense of Manin such that the corresponding algebra has a Hopf superalgebra. By using its Hopf…

Mathematical Physics · Physics 2014-08-13 Muttalip Ozavsar , Ergun Yasar

We propose a computationally efficient $G$-invariant neural network that approximates functions invariant to the action of a given permutation subgroup $G \leq S_n$ of the symmetric group on input data. The key element of the proposed…

Machine Learning · Computer Science 2020-12-14 Piotr Kicki , Mete Ozay , Piotr Skrzypczyński

Let $n\geq 2$ be an integer, $p$ be a prime number and $K$ be a finite extension of $\mathbb{Q}_p$. Motivated by Schraen's thesis and Gehrmann's definition of automorphic simple $\mathscr{L}$-invariants, we study the first non-vanishing…

Number Theory · Mathematics 2026-01-01 Zicheng Qian

Since any string theory involves a path integration on the world-sheet metric, their partition functions are volume forms on the moduli space of genus g Riemann surfaces M_g, or on its super analog. It is well known that modular invariance…

High Energy Physics - Theory · Physics 2014-01-15 Marco Matone

Models of geometric flows pertaining to $\mathcal{R}^2$ scale invariant (super) gravity theories coupled to conformally invariant matter fields are investigated. Related to this work are supersymmetric scalar manifolds that are isomorphic…

High Energy Physics - Theory · Physics 2017-10-13 Subhash Rajpoot , Sergiu I. Vacaru

In recent years, digraph induced generators of quantum dynamical semigroups have been introduced and studied, particularly in the context of unique relaxation and invariance. In this article we define the class of pair block diagonal…

Mathematical Physics · Physics 2019-06-17 George Androulakis , Alexander Wiedemann

We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks. We develop gauge equivariant convolutional neural networks on arbitrary manifolds $\mathcal{M}$ using…

We propose a framework to study models of computation of indeterministic data, represented by abstract "distributions". In these distributions, probabilities are replaced by "amplitudes" drawn from a fixed semi-ring $S$, of which the…

Computational Complexity · Computer Science 2014-12-24 Niel de Beaudrap

In this paper we construct a GL-equivariant complex of Schur modules over a ring of positive characteristic that can be used to deduce classical alternating sum identities for Schur polynomials. This complex globalizes to a complex of…

Commutative Algebra · Mathematics 2022-03-25 Keller VandeBogert

Matrix models with continuous symmetry are powerful tools for studying quantum gravity and holography. Tensor models have also found applications in holographic quantum gravity. Matrix models with discrete permutation symmetry have been…

High Energy Physics - Theory · Physics 2023-12-15 George Barnes , Adrian Padellaro , Sanjaye Ramgoolam

This is a note for constructing fundamental invariants and computing the Hilbert series of the invariant subalgebras of tensor products of polynomial rings under the action by a direct product of symmetric groups. Our computation relies on…

Combinatorics · Mathematics 2021-03-04 Zhipeng Lu

Fix $\mathbb Z/2$ is the prime field of two elements and write $\mathcal A_2$ for the mod $2$ Steenrod algebra. Denote by $GL_d:= GL(d, \mathbb Z/2)$ the general linear group of rank $d$ over $\mathbb Z/2$ and by $\mathscr P_d$ the…

Rings and Algebras · Mathematics 2021-12-06 Dang Vo Phuc

We establish an algebra-isomorphism between the complexified Grothendieck ring F of certain bimodule categories over a modular tensor category and the endomorphism algebra of appropriate morphism spaces of those bimodule categories. This…

Category Theory · Mathematics 2009-02-24 Jurgen Fuchs , Ingo Runkel , Christoph Schweigert

The idea that the cohomology of finite groups might be fruitfully approached via the cohomology of ambient semisimple algebraic groups was first shown to be viable in the papers [CPS75] and [CPSvdK77]. The second paper introduced, through a…

Representation Theory · Mathematics 2012-05-08 Brian J. Parshall , Leonard L. Scott , David I. Stewart

Machine learning is becoming an increasingly valuable tool in mathematics, enabling one to identify subtle patterns across collections of examples so vast that they would be impossible for a single researcher to feasibly review and analyze.…

Machine Learning · Computer Science 2025-08-05 Jesse He , Helen Jenne , Herman Chau , Davis Brown , Mark Raugas , Sara Billey , Henry Kvinge

We construct knot invariants categorifying the quantum knot variants for all representations of quantum groups. We show that these invariants coincide with previous invariants defined by Khovanov for sl_2 and sl_3 and by Mazorchuk-Stroppel…

Geometric Topology · Mathematics 2017-11-15 Ben Webster

The symmetry and geometry of input data are considered to be encoded in the internal data representation inside the neural network, but the specific encoding rule has been less investigated. In this study, we present a systematic method to…

Machine Learning · Computer Science 2023-11-14 Sho Sonoda , Hideyuki Ishi , Isao Ishikawa , Masahiro Ikeda

We study quantum field theories which have quantum groups as global internal symmetries. We show that in such theories operators are generically non-local, and should be thought as living at the ends of topological lines. We describe the…

High Energy Physics - Theory · Physics 2025-08-25 Barak Gabai , Victor Gorbenko , Jiaxin Qiao , Bernardo Zan , Aleksandr Zhabin

Given a complex reductive group $G$ and a $G$-representation $\mathbf{N}$, there is an associated Coulomb branch algebra $\mathcal{A}_{G,\mathbf{N}}^\hbar$ defined by Braverman, Finkelberg and Nakajima. In this paper, we provide a new…

Algebraic Geometry · Mathematics 2025-11-14 Ki Fung Chan , Kwokwai Chan , Chin Hang Eddie Lam

This paper presents geometrical foundation for a systematic treatment of three main (elliptic, parabolic and hyperbolic) types of analytic function theories based on the representation theory of SL(2,R) group. We describe here geometries of…

Complex Variables · Mathematics 2013-07-16 Vladimir V. Kisil