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In past few decades, tensor algebra also known as multi-linear algebra has been developed and customized as a tool to be used for various engineering applications. In particular, with the help of a special form of tensor contracted product,…

Systems and Control · Electrical Eng. & Systems 2024-01-01 Divyanshu Pandey , Adithya Venugopal , Harry Leib

We construct the tensor hierarchies of generic, bosonic, 5- and 6-dimensional field theories. The construction of the tensor hierarchy starts with the introduction of two tensors: the embedding tensor which tells us which vector is used for…

High Energy Physics - Theory · Physics 2009-09-28 Jelle Hartong , Tomás Ortín

We define a general product of two $n$-dimensional tensors $\mathbb {A}$ and $\mathbb {B}$ with orders $m\ge 2$ and $k\ge 1$, respectively. This product is a generalization of the usual matrix product, and satisfies the associative law.…

Combinatorics · Mathematics 2012-12-10 Jia-Yu Shao

In this article we shall consider the tensor gauge fields which are possible to embed into the existing framework of generalized YM theory and therefore allows to construct the gauge invariant and metric independent forms in 2n+4 and 2n+2…

High Energy Physics - Theory · Physics 2013-07-12 George Georgiou , George Savvidy

The representation theory of tensor functions is a powerful mathematical tool for constitutive modeling of anisotropic materials. A major limitation of the traditional theory is that many point groups require fourth- or sixth-order…

Representation Theory · Mathematics 2026-03-13 Mohammad Madadi , Pu Zhang

We construct manifestly superconformal field theories in six dimensions which contain a non-Abelian tensor multiplet. In particular, we show how principal 3-bundles over a suitable twistor space encode solutions to these self-dual tensor…

High Energy Physics - Theory · Physics 2014-07-10 Christian Saemann , Martin Wolf

We introduce a notion of planar algebra, the simplest example of which is a vector space of tensors, closed under planar contractions. A planar algebra with suitable positivity properties produces a finite index subfactor of a II_1 factor,…

Quantum Algebra · Mathematics 2007-05-23 Vaughan F. R. Jones

In this thesis manuscript we explore different facets of random tensor models. These models have been introduced to mimic the incredible successes of random matrix models in physics, mathematics and combinatorics. After giving a very short…

Mathematical Physics · Physics 2015-12-07 Stephane Dartois

Let $R$ be a commutative Noetherian local ring. We study tensor products involving a finitely generated $R$-module $M$ through the natural action of its endomorphism ring. In particular, we study torsion properties of self tensor products…

Commutative Algebra · Mathematics 2025-05-26 Justin Lyle

Tannaka duality and its extensions by Lurie, Sch\"appi et al. reveal that many schemes as well as algebraic stacks may be identified with their tensor categories of quasi-coherent sheaves. In this thesis we study constructions of cocomplete…

Algebraic Geometry · Mathematics 2014-10-08 Martin Brandenburg

We define and study a certain relative tensor product of subfactors over a modular tensor category. This gives a relative tensor product of two completely rational heterotic full local conformal nets with trivial superselection structures…

Operator Algebras · Mathematics 2017-12-01 Yasuyuki Kawahigashi

Developing a theory for quantum gravity is one of the big open questions in theoretical high-energy physics. Recently, a tensor model approach has been considered that treats tensors as the generators of commutative non-associative…

General Relativity and Quantum Cosmology · Physics 2022-11-29 Dennis Obster

We study idempotent analogs of topological tensor products in the sense of A. Grothendieck. The basic concepts and results are simulated on the algebraic level. This is one of a series of papers on idempotent functional analysis.

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

We study tensor network varieties associated with the triangular graph, with a focus on the case where one of the physical dimensions is 2. This allows us to interpret the tensors as pencils of matrices. We provide a complete…

Algebraic Geometry · Mathematics 2026-02-18 Alessandra Bernardi , Fulvio Gesmundo

This paper constructs the geometrically natural objects which are associated with any projection tensor field on a manifold with any affine connection. The approaches to projection tensor fields which have been used in general relativity…

General Relativity and Quantum Cosmology · Physics 2009-10-22 Robert H. Gowdy

We analyse a class of quantum field theory models illustrating some of the possibilities that have emerged in the general study of the short distance properties of superselection sectors, performed in a previous paper (together with R.…

Mathematical Physics · Physics 2010-11-11 Claudio D'Antoni , Gerardo Morsella

In recent years finite tensor products of reproducing kernel Hilbert spaces (RKHSs) of Gaussian kernels on the one hand and of Hermite spaces on the other hand have been considered in tractability analysis of multivariate problems. In the…

Functional Analysis · Mathematics 2022-02-23 M. Gnewuch , M. Hefter , A. Hinrichs , K. Ritter

Given a vector-space $~V~$ which is the tensor product of vector-spaces $A$ and $B$, we reconstruct $A$ and $B$ from the family of simple tensors $a{\otimes}b$ within $V$. In an application to quantum mechanics, one would be reconstructing…

Mathematical Physics · Physics 2023-03-28 Rafael D. Sorkin

We prove a theorem about the derivation algebra of the tensor product of two algebras. As an application, we determine the derivation algebra of the fixed point algebra of the tensor product of two algebras, with respect to the tensor…

Quantum Algebra · Mathematics 2007-05-23 Saeid Azam

A fully tensorial theoretical framework for hypercomplex-valued neural networks is presented. The proposed approach enables neural network architectures to operate on data defined over arbitrary finite-dimensional algebras. The central…

Machine Learning · Computer Science 2026-01-27 Agnieszka Niemczynowicz , Radosław Antoni Kycia
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