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We study certain linear algebra algorithms for recursive block matrices. This representation has useful practical and theoretical properties. We summarize some previous results for block matrix inversion and present some results on…

Symbolic Computation · Computer Science 2024-07-08 Stephen M. Watt

This paper presents a method for expressing the determinant of an N {\times} N complex block matrix in terms of its constituent blocks. The result allows one to reduce the determinant of a matrix with N^2 blocks to the product of the…

Rings and Algebras · Mathematics 2011-12-22 Philip D. Powell

Though algebraic geometry over $\mathbb C$ is often used to describe the closure of the tensors of a given size and complex rank, this variety includes tensors of both smaller and larger rank. Here we focus on the $n\times n\times n$…

Algebraic Geometry · Mathematics 2012-11-16 Elizabeth S. Allman , Peter D. Jarvis , John A. Rhodes , Jeremy G. Sumner

A convex envelope for the problem of finding the best approximation to a given matrix with a prescribed rank is constructed. This convex envelope allows the usage of traditional optimization techniques when additional constraints are added…

Functional Analysis · Mathematics 2016-08-30 Fredrik Andersson , Marcus Carlsson , Carl Olsson

We show how to represent a class of expressions involving discrete sums over partitions as matrix models. We apply this technique to the partition functions of 2* theories, i.e. Seiberg-Witten theories with the massive hypermultiplet in the…

High Energy Physics - Theory · Physics 2009-10-29 Piotr Sułkowski

Orthogonal sets of idempotents are used to design sets of unitary matrices, known as constellations, such that the modulus of the determinant of the difference of any two distinct elements is greater than $0$. It is shown that unitary…

Information Theory · Computer Science 2017-02-07 Ted Hurley

We investigate the structure of graded commutative exponential functors. We give applications of these structure results, including computations of the homology of the symmetric groups and of extensions in the category of strict polynomial…

K-Theory and Homology · Mathematics 2020-02-18 Antoine Touzé

We study the class of those linear relations that can be factorized as products of idempotent relations. We provide several characterizations of this class, extending known factorization results for operators to the more general setting of…

Functional Analysis · Mathematics 2025-06-13 M. Laura Arias , Maximiliano Contino , Stefania Marcantognini

Hierarchical matrices approximate a given matrix by a decomposition into low-rank submatrices that can be handled efficiently in factorized form. $\mathcal{H}^2$-matrices refine this representation following the ideas of fast multipole…

Numerical Analysis · Mathematics 2024-04-24 Steffen Börm

We introduce tensor generalized bilateral inverses (TGBIs) under the Einstein tensor product as an extension of generalized bilateral inverses (GBIs) in the matrix environment. Moreover, the TBGI class includes so far considered composite…

Numerical Analysis · Mathematics 2023-11-30 Ratikanta Behera , Jajati Keshari Sahoo , Predrag S. Stanimirovic , Alena Stupina , Artem Stupin

We present a formula for the trace of any symmetric power of a $n\times n$ matrix (with coefficients in a field) in terms of the ordinary powers of the matrix, an arbitrarily chosen linear function which vanishes on the identity matrix, and…

Differential Geometry · Mathematics 2014-11-04 Jose Luis Cisneros , Rafael Herrera , Noemi Santana

Consider rectangular matrices over a local ring R. In the previous work we have obtained criteria for block-diagonalization of such matrices, i.e. U A V=A_1\oplus A_2, where U,V are invertible matrices over R. In this short note we extend…

Representation Theory · Mathematics 2014-11-25 Dmitry Kerner

We construct ensembles of random integrable matrices with any prescribed number of nontrivial integrals and formulate integrable matrix theory (IMT) -- a counterpart of random matrix theory (RMT) for quantum integrable models. A type-M…

Mesoscale and Nanoscale Physics · Physics 2016-05-20 Emil A. Yuzbashyan , B. Sriram Shastry , Jasen A. Scaramazza

We introduce a generalization of immanants of matrices, using partition algebra characters in place of symmetric group characters. We prove that our immanant-like function on square matrices, which we refer to as the recombinant, agrees…

Combinatorics · Mathematics 2024-12-11 John M. Campbell

We derive novel explicit formulas for the inverses of truncated block Toeplitz matrices that correspond to a multivariate minimal stationary process. The main ingredients of the formulas are the Fourier coefficients of the phase function…

Functional Analysis · Mathematics 2022-10-11 Akihiko Inoue

We construct a new family of strong linearizations of rational matrices considering the polynomial part of them expressed in a basis that satisfies a three term recurrence relation. For this purpose, we combine the theory developed by…

Numerical Analysis · Mathematics 2018-06-28 Froilán M. Dopico , Silvia Marcaida , María C. Quintana

We study the generalized rank weight distribution of a linear code. First, we provide a MacWilliams-type identity which relates the distributions of a code and its dual. Then, we give a formula for the enumerator polynomial. Finally, we…

Information Theory · Computer Science 2026-02-12 Julien Molina

This paper establishes mixed multiplicity formulas concerning the relationship between mixed multiplicities of modules and mixed multiplicities of rings via rank of modules.

Commutative Algebra · Mathematics 2012-08-02 Duong Quoc Viet , Truong Thi Hong Thanh

We define tensors, corresponding to cubic polynomials, which have the same exponent $\omega$ as the matrix multiplication tensor. In particular, we study the symmetrized matrix multiplication tensor $sM_n$ defined on an $n\times n$ matrix…

Algebraic Geometry · Mathematics 2018-04-04 Luca Chiantini , Jonathan D. Hauenstein , Christian Ikenmeyer , J. M. Landsberg , Giorgio Ottaviani

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