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Applications of the theory and computations of boolean matrices are of fundamental importance to study a variety of discrete structural models. But the increasing ability of data collection systems to store huge volumes of multidimensional…

Numerical Analysis · Mathematics 2021-03-09 Ratikanta Behera , Jajati Keshari Sahoo

We present a fit-for-purpose introduction to tensors and their operations. It is envisaged to help the reader become acquainted with its underpinning concepts for the study of path signatures. The text includes exercises, solutions and many…

History and Overview · Mathematics 2025-02-26 Jack Beda , Goncalo dos Reis , Nikolas Tapia

Recently, the joint probability density functions of complex eigenvalues for products of independent complex Ginibre matrices have been explicitly derived as determinantal point processes. We express truncated series coming from the…

Probability · Mathematics 2015-08-24 Dang-Zheng Liu , Yanhui Wang

In this article, we explain the link between Pohlen's extended Hadamard product and the holomorphic cohomological convolution on $\mathbb{C}^*$. For this purpose, we introduce a generalized Hadamard product, which is defined even if the…

Complex Variables · Mathematics 2018-12-18 Christophe Dubussy , Jean-Pierre Schneiders

We describe a logarithmic tensor product theory for certain module categories for a ``conformal vertex algebra.'' In this theory, which is a natural, although intricate, generalization of earlier work of Huang and Lepowsky, we do not…

Quantum Algebra · Mathematics 2008-11-26 Yi-Zhi Huang , James Lepowsky , Lin Zhang

In this paper, we introduce a particular class of matrices. We study the concept of a matrix to be \emph{balanced}. We study some properties of this concept in the context of matrix operations. We examine the behaviour of various matrix…

Rings and Algebras · Mathematics 2026-03-12 Theophilus Agama , Gael Kibiti

Take a multiplicative monoid of sequences in which the multiplication is given by Hadamard product. The set of linear combinations of interleaving monoid elements then yields a ring. For hypergeometric sequences, the resulting ring is a…

Symbolic Computation · Computer Science 2024-10-16 Bertrand Teguia Tabuguia

In this review we summarise recent results for the complex eigenvalues and singular values of finite products of finite size random matrices, their correlation functions and asymptotic limits. The matrices in the product are taken from…

Mathematical Physics · Physics 2015-10-28 Gernot Akemann , Jesper R. Ipsen

We study scalar products of Bethe vectors in integrable models solvable by nested algebraic Bethe ansatz and possessing $\mathfrak{gl}(2|1)$ symmetry. Using explicit formulas of the monodromy matrix entries multiple actions onto Bethe…

Mathematical Physics · Physics 2016-11-24 A. Hutsalyuk , A. Liashyk , S. Z. Pakuliak , E. Ragoucy , N. A. Slavnov

Generalized product formulas and index transforms, involving products of Whittaker's functions of different indices are established and investigated. The corresponding inversion formulas are found. Particular cases cover index transforms…

Classical Analysis and ODEs · Mathematics 2025-06-09 Semyon Yakubovich

We prove new explicit asymptotic formulae between (geometric) eigenvalues in max-algebra and classical distinguished eigenvalues of nonnegative matrices, which are useful tools for transferring results between both settings. We establish…

Functional Analysis · Mathematics 2021-11-09 S. M. Manjegani , A. Peperko , H. Shokooh Saljooghi

While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product. Despite its widespread implementation across various…

Machine Learning · Computer Science 2025-04-18 Grigorios G Chrysos , Yongtao Wu , Razvan Pascanu , Philip Torr , Volkan Cevher

Eigenvectors of tensors, as studied recently in numerical multilinear algebra, correspond to fixed points of self-maps of a projective space. We determine the number of eigenvectors and eigenvalues of a generic tensor, and we show that the…

Numerical Analysis · Mathematics 2018-06-18 Dustin Cartwright , Bernd Sturmfels

Hadamard matrices in $\{0,1\}$ presentation are square $m\times m$ matrices whose entries are zeros and ones and whose rows considered as vectors in $\Bbb R^m$ produce the Gram matrix of a special form with respect to the standard scalar…

Data Structures and Algorithms · Computer Science 2021-05-20 Ruslan Sharipov

Following up on a previous analysis of graph embeddings, we generalize and expand some results to the general setting of vector symbolic architectures (VSA) and hyperdimensional computing (HDC). Importantly, we explore the mathematical…

Machine Learning · Statistics 2023-05-23 Frank Qiu

We use the well-known isomorphism between operator algebras and function spaces equipped with a star product to study the asymptotic properties of certain matrix sequences in which the matrix dimension $D$ tends to infinity. Our approach is…

Mathematical Physics · Physics 2015-06-05 J. N. Kriel , F. G. Scholtz

We present the basic concepts of tensor products of vector spaces, emphasizing linear algebraic and combinatorial techniques as needed for applied areas of research. The topics include (1) Introduction; (2) Basic multilinear algebra; (3)…

Commutative Algebra · Mathematics 2015-10-09 S. Gill Williamson

We study unital operator spaces endowed with a partially defined product. We give a matrix-norm characterization of such products that allows for a representation theorem where the partial product is realized as composition of operators on…

Operator Algebras · Mathematics 2025-11-07 Adam Dor-On , Travis B. Russell

We give an introduction to the concept of Kan extensions, and study its relation with the notions of coend and adjoint functors. We state and prove in detail a well known formula to compute Kan extensions by using coends: a certain colimit…

Category Theory · Mathematics 2016-10-05 Marco A. Pérez

Braman [B08] described a construction where third-order tensors are exactly the set of linear transformations acting on the set of matrices with vectors as scalars. This extends the familiar notion that matrices form the set of all linear…

Numerical Analysis · Mathematics 2010-05-12 Carmeliza Navasca , Michael Opperman , Timothy Penderghest , Christino Tamon
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