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Matrix product states (MPS) provide a powerful framework for characterizing one-dimensional symmetry-protected topological (SPT) phases of matter and for formulating Lieb-Schultz-Mattis (LSM)-type constraints. Here we generalize the MPS…

Strongly Correlated Electrons · Physics 2026-03-20 Amogh Anakru , Sarvesh Srinivasan , Linhao Li , Zhen Bi

We show that two tensor permutation matrices permutate tensor product of rectangle matrices. Some examples, in the particular case of tensor commutation matrices, for studying some linear matrix equations are given.

General Mathematics · Mathematics 2013-06-19 Christian Rakotonirina

We found a necessary and sufficient condition for the existence of the tensor product of modules over a vertex algebra. We defined the notion of vertex bilinear map and we provide two algebraic construction of the tensor product, where one…

Quantum Algebra · Mathematics 2016-09-27 Jose I. Liberati

Tensor networks (TNs) are one of the best available tools to study many-body quantum systems. TNs are particularly suitable for one-dimensional local Hamiltonians, while their performance for generic geometries is mainly limited by two…

Quantum Physics · Physics 2026-04-08 Apimuk Sornsaeng , Itai Arad , Dario Poletti

A (control) network over a finite ring is proposed. Using semi-tensor product (STP) of matrices, a set of algebraic equations are provided to verify whether a finite set with two binary operators is a ring. It is then shown that the…

Systems and Control · Electrical Eng. & Systems 2021-10-14 Daizhan Cheng

We propose a semiparametric family of copulas based on a set of orthonormal functions and a matrix. This new copula permits to reach values of Spearman's Rho arbitrarily close to one without introducing a singular component. Moreover, it…

Statistics Theory · Mathematics 2013-10-22 Cécile Amblard , Stephane Girard , Ludovic Menneteau

In this paper, some tensor commutation matrices are expressed in termes of the generalized Pauli matrices by tensor products of the Pauli matrices.

General Mathematics · Mathematics 2014-01-21 Christian Rakotonirina , Joseph Rakotondramavonirina

Tensor network, which originates from quantum physics, is emerging as an efficient tool for classical and quantum machine learning. Nevertheless, there still exists a considerable accuracy gap between tensor network and the sophisticated…

Machine Learning · Computer Science 2023-06-07 Ye-Ming Meng , Jing Zhang , Peng Zhang , Chao Gao , Shi-Ju Ran

The T-product for third-order tensors has been used extensively in the literature. In this paper, we first introduce the first-order and second-order T-derivatives for the multi-vector real-valued function with the tensor T-product; and…

Optimization and Control · Mathematics 2020-06-22 Meng-Meng Zheng , Zheng-Hai Huang , Yong Wang

We modify the well-known tensor product of modules over a semiring, in order to treat modules over hyperrings, and, more generally, for bimodules (and bimagmas) over monoids. The tensor product of residue hypermodules is functorial. Special…

Rings and Algebras · Mathematics 2025-12-24 Louis H. Rowen

Additive models can be used for interpretable machine learning for their clarity and simplicity. However, In the classical models for high-order data, the vectorization operation disrupts the data structure, which may lead to degenerated…

Machine Learning · Computer Science 2024-06-06 Yang Chen , Ce Zhu , Jiani Liu , Yipeng Liu

Motivated by some recent developments in abstract theories of quadratic forms, we start to develop in this work an expansion of Linear Algebra to multivalued structures (a multialgebraic structure is essentially an algebraic structure but…

The work starts a series of papers on topological radicals and their applications. Among other results we present a theory of radicals related to the joint tensor radius.

Functional Analysis · Mathematics 2012-08-23 Victor S. Shulman , Yuri V. Turovskii

Approximating higher-order tensors by the Tucker format has been applied in many fields such as psychometrics, chemometrics, signal processing, pattern classification, and so on. In this paper, we propose some new Tucker-like approximations…

Numerical Analysis · Mathematics 2023-01-18 Ze-Jia Xie , Xiao-Qing Jin , Zhi Zhao

Nonlinear matrix equations play a crucial role in science and engineering problems. However, solutions of nonlinear matrix equations cannot, in general, be given analytically. One standard way of solving nonlinear matrix equations is to…

Numerical Analysis · Mathematics 2018-11-05 Matthew M. Lin , Chun-Yueh Chiang

We propose a tensor product structure that is compatible with the hypergraph structure. We define the algebraic connectivity of the $(m+1)$-uniform hypergraph in this product, and prove the relationship with the vertex connectivity. We…

Numerical Analysis · Mathematics 2023-10-10 Jiaqi Gu , Shenghao Feng , Yimin Wei

In this paper we study finite dimensional algebras, in particular finite semifields, through their correspondence with nonsingular threefold tensors. We introduce a alternative embedding of the tensor product space into a projective space.…

Combinatorics · Mathematics 2024-03-14 Stefano Lia , John Sheekey

The canonical form of Matrix Product States (MPS) and the associated fundamental theorem, which relates different MPS representations of a state, are the theoretical framework underlying many of the analytical results derived through MPS,…

Quantum Physics · Physics 2018-04-17 Gemma De las Cuevas , J. Ignacio Cirac , Norbert Schuch , David Perez-Garcia

By a tensor we mean an element of a tensor product of vector spaces over a field. Up to a choice of bases in factors of tensor products, every tensor may be coordinatized, that is, represented as an array consisting of numbers. This note is…

Functional Analysis · Mathematics 2019-01-11 R. N. Gumerov , A. S. Sharafutdinov

An unpublished identity of Gosper restates a hypergeometric identity for odd zeta values in terms of an infinite product of matrices. We show that this correspondence runs much deeper, and show that many examples of WZ-accelerated series…

Number Theory · Mathematics 2023-01-03 T. Wakhare , C. Vignat