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We interpret tensors on a smooth manifold M as differential forms over a graded commutative algebra called the algebra of iterated differential forms over M. This allows us to put standard tensor calculus in a new differentially closed…

Differential Geometry · Mathematics 2010-05-05 A. M. Vinogradov , L. Vitagliano

This is an expository paper on tensor products where the standard approaches for constructing concrete instances of algebraic tensor products of linear spaces, via quotient spaces or via linear maps of bilinear maps, are reviewed by…

Functional Analysis · Mathematics 2021-08-31 C. S. Kubrusly

We prove that singularities with holomorphic monodromies are preserved by the Hadamard product. We find an explicit formula for the monodromy of the singularities, and similar formulas for the exponential e\~ne product. Using these formulas…

Complex Variables · Mathematics 2025-02-10 Ricardo Pérez-Marco

By using the Hadamard matrix product concept, this paper introduces two generalized matrix formulation forms of numerical analogue of nonlinear differential operators. The SJT matrix-vector product approach is found to be a simple,…

Computational Engineering, Finance, and Science · Computer Science 2024-09-21 W. Chen

Generalizing a theorem of Macdonald, we show a formula for the mixed Hodge structure on the cohomology of the symmetric products of bounded complexes of mixed Hodge modules by showing the existence of the canonical action of the symmetric…

Algebraic Geometry · Mathematics 2012-04-03 Laurentiu Maxim , Morihiko Saito , Joerg Schuermann

The ability to simulate one Hamiltonian with another is an important primitive in quantum information processing. In this paper, a simulation method for arbitrary $\sigma_z \otimes \sigma_z$ interaction based on Hadamard matrices…

Quantum Physics · Physics 2009-11-07 D. W. Leung

Using the decomposition of semimagic squares into the associated and balanced symmetry types as a motivation, we introduce an equivalent representation in terms of block-structured matrices. This block representation provides a way of…

Combinatorics · Mathematics 2016-05-30 S. L. Hill , M. C. Lettington , K. M. Schmidt

We characterize in terms of inequalities the possible generalized singular numbers of a product AB of operators A and B having given generalized singular numbers, in an arbitrary finite von Neumann algebra. We also solve the analogous…

Operator Algebras · Mathematics 2016-01-26 Hari Bercovici , Benoit Collins , Ken Dykema , Wing Suet Li

This paper studies the issues about the generalized inverses of tensors under the C-Product. The aim of this paper is threefold. Firstly, this paper present the definition of the Moore-Penrose inverse, Drazin inverse of tensors under the…

Rings and Algebras · Mathematics 2024-12-12 Hongwei Jin , Shumin Xu , Hongjie Jiang , Xiaoji Liu

This paper investigates the eigenvalue problem of integral operators whose kernels can be expressed as a finite sum of pairwise products of single-variable functions, making them separable. By consdiering the matrix form of the separable…

Functional Analysis · Mathematics 2025-11-20 Soma Hirai , Ryoto Watanabe , Yuki Nishida , Masashi Iwasaki

The Eigendecomposition of quadratic forms (symmetric matrices) guaranteed by the spectral theorem is a foundational result in applied mathematics. Motivated by a shared structure found in inferential problems of recent interest---namely…

Machine Learning · Computer Science 2018-02-26 Mikhail Belkin , Luis Rademacher , James Voss

An algebraic investigation on bicomplex numbers is carried out here. Particularly matrices and linear maps defined on them are discussed. A new kind of cartesian product, referred to as an idempotent product, is introduced and studied. The…

Representation Theory · Mathematics 2023-12-04 Anjali , Fahed Zulfeqarr , Akhil Prakash , Prabhat Kumar

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

We propose a theory of eigenvalues, eigenvectors, singular values, and singular vectors for tensors based on a constrained variational approach much like the Rayleigh quotient for symmetric matrix eigenvalues. These notions are particularly…

Spectral Theory · Mathematics 2007-05-23 Lek-Heng Lim

Products and coproducts may be recognized as morphisms in a monoidal tensor category of vector spaces. To gain invariant data of these morphisms, we can use singular value decomposition which attaches singular values, ie generalized…

Mathematical Physics · Physics 2007-05-23 Bertfried Fauser

Our aim is to introduce the tropical tensor product and investigate its properties. In particular we show its use for solving tropical matrix equations.

Commutative Algebra · Mathematics 2018-05-09 Peter Butkovic , Miroslav Fiedler

As is known, there exists an alternative, "non-matricial" way to present basic notions and results of quantum functional analysis (= operator space theory). This approach is based on considering, instead of matrix spaces, a single space,…

Functional Analysis · Mathematics 2007-05-23 A. Ya. Helemskii

In this paper we establish a connection between the loop space homology of the generalization of wedge defined by a simplicial complex K (so called polyhedral product) and the homology of certain diagonal arrangements associated with K. We…

Algebraic Topology · Mathematics 2009-01-20 Natalia Dobrinskaya

A matrix-compression algorithm is derived from a novel isogenic block decomposition for square matrices. The resulting compression and inflation operations possess strong functorial and spectral-permanence properties. The basic observation…

Rings and Algebras · Mathematics 2022-11-01 Alexander Belton , Dominique Guillot , Apoorva Khare , Mihai Putinar

We discuss extended definitions of linear and multilinear operations such as Kronecker, Hadamard, and contracted products, and establish links between them for tensor calculus. Then we introduce effective low-rank tensor approximation…

Numerical Analysis · Mathematics 2016-02-26 Namgil Lee , Andrzej Cichocki