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The outer inverse of tensors plays increasingly significant roles in computational mathematics, numerical analysis, and other generalized inverses of tensors. In this paper, we compute outer inverses with prescribed ranges and kernels of a…

Numerical Analysis · Mathematics 2025-07-22 Ratikanta Behera , Krushnachandra Panigrahy , Jajati Keshari Sahoo , Yimin Wei

The Hadamard product of two tensors in the tensor-train (TT) format is a fundamental operation across various applications, such as TT-based function multiplication for nonlinear differential equations or convolutions. However, conventional…

Quantum Physics · Physics 2026-02-23 Zhaonan Meng , Yuehaw Khoo , Jiajia Li , E. Miles Stoudenmire

We introduce the smt toolbox for Matlab. It implements optimized storage and fast arithmetics for circulant and Toeplitz matrices, and is intended to be transparent to the user and easily extensible. It also provides a set of test matrices,…

Numerical Analysis · Mathematics 2019-10-16 Michela Redivo-Zaglia , Giuseppe Rodriguez

Generalized fusion frame and some of their properties in tensor product of Hilbert spaces are described. Also, the canonical dual g-fusion frame in tensor product of Hilbert spaces is considered. Finally, the frame operator for a pair of…

Functional Analysis · Mathematics 2023-03-28 Prasenjit Ghosh , Tapas Kumar Samanta

It is well-known that the tensor product of two bialgebras constitutes the binary product in the category of cocommutative bialgebras and morphisms of bialgebras between them. In this paper, we extend this result to triangular bialgebras…

Quantum Algebra · Mathematics 2026-05-27 Alessandro Ardizzoni , Andrea Sciandra

Tensor networks are a compressed format for multi-dimensional data. One-dimensional tensor networks -- often referred to as tensor trains (TT) or matrix product states (MPS) -- are increasingly being used as a numerical ansatz for continuum…

Quantum Physics · Physics 2025-12-09 Joseph Tindall , E. Miles Stoudenmire , Ryan Levy

Dynamic mode decomposition (DMD) has become a powerful data-driven method for analyzing the spatiotemporal dynamics of complex, high-dimensional systems. However, conventional DMD methods are limited to matrix-based formulations, which…

Systems and Control · Electrical Eng. & Systems 2025-08-05 Ziqin He , Mengqi Hu , Yifei Lou , Can Chen

We investigate the algebraic complexity of tensor calulus. We consider a generalization of iterated matrix product to tensors and show that the resulting formulas exactly capture VP, the class of polynomial families efficiently computable…

Computational Complexity · Computer Science 2012-09-24 Florent Capelli , Arnaud Durand , Stefan Mengel

The theory of tensor categories has found applications across various fields, including representation theory, quantum field theory (conformal in 2 dimensions, and topological in 3 and 4 dimensions), quantum invariants of low-dimensional…

Mathematical Physics · Physics 2025-01-13 Manuel Araújo , Jin-Cheng Guu , Skyler Hudson

This paper studies symmetric tensor decompositions. For symmetric tensors, there exist linear relations of recursive patterns among their entries. Such a relation can be represented by a polynomial, which is called a generating polynomial.…

Numerical Analysis · Mathematics 2015-10-06 Jiawang Nie

We first formulate a definition of tensor product for two modules for a vertex operator algebra in terms of a certain universal property and then we give a construction of tensor products. We prove the unital property of the adjoint module…

High Energy Physics - Theory · Physics 2009-09-25 Hai-sheng Li

A new connection between two different necessary conditions for a polymatroid to be linearly representable is presented. Specifically, we prove that the existence of a tensor product with the uniform matroid of rank two on three elements…

Combinatorics · Mathematics 2025-02-20 Carles Padró

We present an extension of the summation-by-parts (SBP) framework to tensor-product spectral-element operators in collapsed coordinates. The proposed approach enables the construction of provably stable discretizations of arbitrary order…

Numerical Analysis · Mathematics 2025-04-29 Tristan Montoya , David W. Zingg

We develop a systematic study of the schur tensor product both in the category of operator spaces and in that of $C^*$-algebras.

Operator Algebras · Mathematics 2013-08-22 Vandana Rajpal , Ajay Kumar , Takashi Itoh

A concept of multiplicator of symmetric function space concerning to projective tensor product is introduced and studied. This allows to obtain some concrete results. In particular, the well-known theorem of R. O'Neil about the boundedness…

Functional Analysis · Mathematics 2007-05-23 S. V. Astashkin

The general linear model is a universally accepted method to conduct and test multiple linear regression models. Using this model one has the ability to simultaneously regress covariates among different groups of data. Moreover, there are…

Methodology · Statistics 2024-10-15 Gavin T. Kress

The theory and computation of tensors with different tensor products play increasingly important roles in scientific computing and machine learning. Different products aim to preserve different algebraic properties from the matrix algebra,…

In this article, specific definitions of the Moore-Penrose inverse, Drazin inverse of the quaternion tensor and the inverse along two quaternion tensors are introduced under the T-product. Some characterizations, representations and…

Rings and Algebras · Mathematics 2022-11-08 Hongwei Jin , Peifeng Zhou , Hongjie Jiang , Xiaoji Liu

We define the twisted tensor product of two enriched categories, which generalizes various sorts of `products' of algebraic structures, including the bicrossed product of groups, the twisted tensor product of (co)algebras and the double…

Category Theory · Mathematics 2011-12-06 Aura Bârdeş , Dragoş Ştefan

Tensors play a pivotal role in the realms of science and engineering, particularly in the realms of data analysis, machine learning, and computational mathematics. The process of unfolding a tensor into matrices, commonly known as tensor…

Rings and Algebras · Mathematics 2023-11-28 Shih-Yu Chang
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