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We study the problem of constructing explicit families of matrices which cannot be expressed as a product of a few sparse matrices. In addition to being a natural mathematical question on its own, this problem appears in various…

Computational Complexity · Computer Science 2019-04-03 Mrinal Kumar , Ben Lee Volk

I study the canonical formulation and quantization of some simple parametrized systems, including the non-relativistic parametrized particle and the relativistic parametrized particle. Using Dirac's formalism I construct for each case the…

General Relativity and Quantum Cosmology · Physics 2007-05-23 G. Ruffini

This paper revisits the problem of decomposing a positive semidefinite matrix as a sum of a matrix with a given rank plus a sparse matrix. An immediate application can be found in portfolio optimization, when the matrix to be decomposed is…

Optimization and Control · Mathematics 2021-06-16 Michel Baes , Calypso Herrera , Ariel Neufeld , Pierre Ruyssen

We discuss the $F$-matrices associated to the $R$-matrix of a general $N$-state vertex model whose statistical configurations encode $N-1$ U(1) symmetries. The factorization condition is shown for arbitrary weights being based only on the…

Mathematical Physics · Physics 2015-06-03 M. J. Martins , R. A. Pimenta , M. Zuparic

Matrices with off-diagonal decay appear in a variety of fields in mathematics and in numerous applications, such as signal processing, statistics, communications engineering, condensed matter physics, and quantum chemistry. Numerical…

Numerical Analysis · Mathematics 2014-12-04 Ilya Krishtal , Thomas Strohmer , Tim Wertz

Correlation matrices are the sub-class of positive definite real matrices with all entries on the diagonal equal to unity. Earlier work has exhibited a parametrisation of the corresponding Cholesky factorisation in terms of partial…

Statistics Theory · Mathematics 2020-07-31 P. J. Forrester , Jiyuan Zhang

In this note, we study a factorization result for graded decomposition maps associated with the specializations of graded algebras. We obtain results previously known only in the ungraded setting.

Representation Theory · Mathematics 2012-08-15 Maria Chlouveraki , Nicolas Jacon

We provide a number of algorithmic results for the following family of problems: For a given binary m\times n matrix A and integer k, decide whether there is a "simple" binary matrix B which differs from A in at most k entries. For an…

Data Structures and Algorithms · Computer Science 2018-03-19 Fedor V. Fomin , Petr A. Golovach , Fahad Panolan

We study several variants of decomposing a symmetric matrix into a sum of a low-rank positive semidefinite matrix and a diagonal matrix. Such decompositions have applications in factor analysis and they have been studied for many decades.…

Optimization and Control · Mathematics 2023-10-02 Levent Tunçel , Stephen A. Vavasis , Jingye Xu

In this paper Quantum Mechanics with Fundamental Length is built as a deformation of Quantum Mechanics. To this aim an approach is used which does not take into account commutator deformation as usually it is done, but density matrix…

General Relativity and Quantum Cosmology · Physics 2007-05-23 A. E. Shalyt-Margolin , J. G. Suarez

We consider the variety of pre-Lie algebra structures on a given n-dimensional vector space. The group GL_n(K) acts on it, and we study the closure of the orbits with respect to the Zariski topology. This leads to the definition of pre-Lie…

Rings and Algebras · Mathematics 2008-09-15 Dietrich Burde , Thomas Beneš

We construct an extension of Gaussian elimination to show that if $\mathbb{F}$ is a topological field, then there is a transitive, free, and continuous action of a natural quotient of $GL_k(\mathbb{F}) \times GL_{k+1}(\mathbb{F})$ on the…

Representation Theory · Mathematics 2016-06-20 Colin Aitken

We demonstrate that a wide range of viable f(R) parameterizations (including the Hu & Sawicki and the Starobinsky models) can be expressed as perturbations deviating from the LCDM Lagrangian. We constrain the deviation parameter b using a…

Cosmology and Nongalactic Astrophysics · Physics 2015-03-13 Spyros Basilakos , Savvas Nesseris , Leandros Perivolaropoulos

We study the deformation theory aspects of Matricial Factorizations, possibly with an orthogonal or symplectic structure. We discuss and extend the Kn\"orrer and Hori-Walcher periodicity theorems

Quantum Algebra · Mathematics 2016-08-16 José Bertin , Fabrice Rosay

We study the renormalization of normal mixing matrices, which includes hermitian and unitary matrices as particular cases. We give a minimal, multiplicative parametrization of counterterms, and compute the renormalized Lagrangian to…

High Energy Physics - Phenomenology · Physics 2009-01-07 Antonio O. Bouzas

We have derived the popularly used parametrization formulae for quark masses at low densities and modified them at high densities within the mass-density-dependent model. The results are applied to investigate the lowest density for the…

High Energy Physics - Phenomenology · Physics 2009-10-30 G. X. Peng , P. Z. Ning

In this work the Quantum and Statistical Mechanics of the Early Universe, i.e. at Planck scale, is considered as a deformation of the well-known theories. In so doing the primary object under deformation in both cases is the density matrix.…

General Relativity and Quantum Cosmology · Physics 2007-05-23 A. E. Shalyt-Margolin

In this work we apply the Lie group representation method introduced in the real time formalism for finite-temperature quantum-field theory, thermofield dynamics, to derive a spinorial density matrix equation. Symmetry properties of such…

High Energy Physics - Theory · Physics 2007-05-23 F. C. Khanna , A. E. Santana , A. Matos Neto , J. D. M. Vianna , T. Kopf

In this paper, we study unirational differential curves and the corresponding differential rational parametrizations. We first investigate basic properties of proper differential rational parametrizations for unirational differential…

Algebraic Geometry · Mathematics 2020-01-27 Lei Fu , Wei Li

The application of binary matrices are numerous. Representing a matrix as a mixture of a small collection of latent vectors via low-rank decomposition is often seen as an advantageous method to interpret and analyze data. In this work, we…

Numerical Analysis · Mathematics 2021-11-03 Derek DeSantis , Erik Skau , Duc P. Truong , Boian Alexandrov
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