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In this paper we derive a representation of an arbitrary real matrix M as the difference of a real matrix A and the transpose of its inverse. This expression may prove useful for progressing beyond known results for which the appearance of…

Rings and Algebras · Mathematics 2021-06-21 Mil Mascaras , Jeffrey Uhlmann

Computation of the trace of a matrix function plays an important role in many scientific computing applications, including applications in machine learning, computational physics (e.g., lattice quantum chromodynamics), network analysis and…

Data Structures and Algorithms · Computer Science 2017-03-10 Insu Han , Dmitry Malioutov , Haim Avron , Jinwoo Shin

Studies on time and memory costs of products in geometric algebra have been limited to cases where multivectors with multiple grades have only non-zero elements. This allows to design efficient algorithms for a generic purpose; however, it…

Data Structures and Algorithms · Computer Science 2020-02-27 Stephane Breuils , Vincent Nozick , Akihiro Sugimoto

We introduce a new matrix product, that we call the wreath product of matrices. The name is inspired by the analogous product for graphs, and the following important correspondence is proven: the wreath product of the adjacency matrices of…

Rings and Algebras · Mathematics 2016-11-03 Daniele D'Angeli , Alfredo Donno

An invertible matrix is called a Perron similarity if one of its columns and the corresponding row of its inverse are both nonnegative or both nonpositive. Such matrices are of relevance and import in the study of the nonnegative inverse…

Spectral Theory · Mathematics 2021-10-28 Janelle M. Dockter , Pietro Paparella , Robert L. Perry , Jonathan D Ta

We generalise the formula expressing the matrix trace of a given square matrix as the integral of the numerical values of $A$ over the Euclidean sphere to the unit spheres of finite-dimensional normed spaces that have a 1-symmetric basis.…

Functional Analysis · Mathematics 2016-11-08 Tomasz Kania , Kent E. Morrison

We prove an elementary yet useful inequality bounding the maximal value of certain linear programs. This leads directly to a bound on the martingale difference for arbitrarily dependent random variables, providing a generalization of some…

Functional Analysis · Mathematics 2007-05-23 Leonid Kontorovich

Let $\alpha$ be a totally positive algebraic integer, and define its absolute trace to be $\frac{Tr(\alpha)}{\text{deg}(\alpha)}$, the trace of $\alpha$ divided by the degree of $\alpha$. Elementary considerations show that the absolute…

Number Theory · Mathematics 2022-08-09 Kyle Pratt , George Shakan , Alexandru Zaharescu

A nonlinear inequality is formulated in the paper. An estimate of the rate of decay of solutions to this inequality is obtained. This inequality is of interest in a study of dynamical systems and nonlinear evolution equations. It can be…

Classical Analysis and ODEs · Mathematics 2009-03-05 N. S. Hoang , A. G. Ramm

In the following short paper we list some useful results concerning determinants and inverses of matrices. First we show, how to calculate determinants of $d \times d$ matrices, if their traces are known. As a next step $4 \times 4$…

High Energy Physics - Phenomenology · Physics 2007-05-23 Frieder Kleefeld , Manfred Dillig

A natural definition of the product of infinite matrices mimics the usual formulation of multiplication of finite matrices with the caveat (in the absence of any sense of convergence) that the intersection of the support of each row of the…

Rings and Algebras · Mathematics 2018-03-30 Daniel P. Bossaller , Sergio R. López-Permouth

In these notes, we present versions of trace theorems for Sobolev spaces over an interval in the real line, and also a one-dimensional version of the well-known Poincare inequality.

The semi-tensor product (STP) of matrices is extended to the STP of hypermatrices. Some basic properties of the STP of matrices are extended to the STP of hypermatrices. The hyperdeterminant of hypersquares is introduced. Some algebraic and…

Systems and Control · Electrical Eng. & Systems 2023-03-14 Daizhan Cheng , Xiao Zhang , Zhengping Ji

Bidiagonal matrices are widespread in numerical linear algebra, not least because of their use in the standard algorithm for computing the singular value decomposition and their appearance as LU factors of tridiagonal matrices. We show that…

Numerical Analysis · Mathematics 2023-11-14 Nicholas J. Higham

The condition number of a diagonally scaled matrix, for appropriately chosen scaling matrices, is often less than that of the original. Equilibration scales a matrix so that the scaled matrix's row and column norms are equal. Scaling can be…

Numerical Analysis · Mathematics 2012-06-21 Andrew M. Bradley , Walter Murray

In this paper we consider the trace regression model. Assume that we observe a small set of entries or linear combinations of entries of an unknown matrix $A_0$ corrupted by noise. We propose a new rank penalized estimator of $A_0$. For…

Statistics Theory · Mathematics 2011-09-14 Olga Klopp

Matrices are very popular and widely used in mathematics and other fields of science. Every mathematician has known the properties of finite-sized matrices since the time of study. In this paper, we consider the basic theory of infnite…

General Mathematics · Mathematics 2021-08-19 Lukasz Matysiak , Weronika Przewozniak , Natalia Rulinska

By the use of the celebrated Kato's inequality we obtain in this paper some new inequalities for trace class operators on a complex Hilbert space H. Natural applications for functions defined by power series of normal operators are given as…

Functional Analysis · Mathematics 2014-09-29 Silvestru Sever Dragomir

For many applications, it is convenient to have good upper bounds for the norm of the inverse of a given matrix. In this paper, we obtain such bounds when A is a Nekrasov matrix, by means of a scaling matrix transforming A into a strictly…

Numerical Analysis · Mathematics 2025-01-17 Héctor Orera , Juan Manuel Peña

Let H be a positive semidefinite matrix partitioned into Hermitian blocks. Then, up to a direct sum operation, H is the average of matrices isometrically congruent to its partial trace. A few corollaries are given, related to important…

Functional Analysis · Mathematics 2012-10-12 Jean-Christophe Bourin , Eun-Young Lee
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