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We propose a polynomial time $f$-algorithm (a deterministic algorithm which uses an oracle for factoring univariate polynomials over $\mathbb{F}_q$) for computing an isomorphism (if there is any) of a finite dimensional…

Rings and Algebras · Mathematics 2017-01-03 Gábor Ivanyos , Péter Kutas , Lajos Rónyai

We present a new algorithm for computing the real radical of an ideal and, more generally, the-radical of, which is based on convex moment optimization. A truncated positive generic linear functional vanishing on the generators of is…

Commutative Algebra · Mathematics 2021-10-01 Lorenzo Baldi , Bernard Mourrain

The polar decomposition for a matrix $A$ is $A=UB$, where $B$ is a positive Hermitian matrix and $U$ is unitary (or, if $A$ is not square, an isometry). This paper shows that the ability to apply a Hamiltonian $\pmatrix{ 0 & A^\dagger \cr A…

Many methods for the verification of complex computer systems require the existence of a tractable mathematical abstraction of the system, often in the form of an automaton. In reality, however, such a model is hard to come up with, in…

Formal Languages and Automata Theory · Computer Science 2023-08-09 Stefan Zetzsche

In the present work we consider Friedmann-Robertson-Walker models in the presence of a stiff matter perfect fluid and a cosmological constant. We write the superhamiltonian of these models using the Schutz's variational formalism. We notice…

General Relativity and Quantum Cosmology · Physics 2015-05-20 C. Neves , G. A. Monerat , G. Oliveira-Neto , E. V. Corrêa Silva , L. G. Ferreira Filho

In this paper we provide an algorithm, similar to the simplex algorithm, which determines a rational cp-factorization of a given matrix, whenever the matrix allows such a factorization. This algorithm can be used to show that every integral…

Optimization and Control · Mathematics 2021-04-27 Mathieu Dutour Sikirić , Achill Schürmann , Frank Vallentin

For a fixed arbitrary matrix depending on $n$ variables, one may ask whether a Prenex Normal Form (PNF) implies another. A RAM algorithm running in linear time is presented and shown to be asymptotically optimal.

Data Structures and Algorithms · Computer Science 2025-04-23 Adam Wang

We introduce a new set of algorithms to compute Jacobi matrices associated with measures generated by infinite systems of iterated functions. We demonstrate their relevance in the study of theoretical problems, such as the continuity of…

Numerical Analysis · Mathematics 2013-11-20 Giorgio Mantica

This paper studies the unitary diagonalization of matrices over formal power series rings. Our main result shows that a normal matrix is unitarily diagonalizable if and only if its minimal polynomial completely splits over the ring and the…

Commutative Algebra · Mathematics 2026-02-10 Zihao Dai , Hao Liang , Jingyu Lu , Lihong Zhi

We show an explicit formula, with a quite easy deduction, for the exponential matrix $e^{tA}$ of a real square matrix $A$ of order $n\times n$. The elementary method developed requires neither Jordan canonical form, nor eigenvectors, nor…

Classical Analysis and ODEs · Mathematics 2022-02-15 Oswaldo Rio Branco de Oliveira

This work builds on an existing model of discrete canonical evolution and applies it to the general case of a linear dynamical system, i.e., a finite-dimensional system with configuration space isomorphic to $ \mathbb{R}^{q} $ and linear…

Mathematical Physics · Physics 2021-06-30 Jakub Káninský

We present a matrix-based algorithm for deciding if the parametrization of a curve or a surface is invertible or not, and for computing the inverse of the parametrization if it exists.

Commutative Algebra · Mathematics 2007-05-23 Carlos D'Andrea , Laurent Buse

In this paper we propose several strategies for the exact computation of the determinant of a rational matrix. First, we use the Chinese Remaindering Theorem and the rational reconstruction to recover the rational determinant from its…

Symbolic Computation · Computer Science 2009-04-16 Anna Urbanska

A Lagrangian formulation for the constrained search for the $N$-representable one-particle density matrix based on the McWeeny idempotency error minimization is proposed, which converges systematically to the ground state. A closed form of…

Mathematical Physics · Physics 2016-03-23 Lionel A. Truflandier , Rivo M. Dianzinga , David R. Bowler

We propose a new approximate factorization for solving linear systems with symmetric positive definite sparse matrices. In a nutshell the algorithm is to apply hierarchically block Gaussian elimination and additionally compress the fill-in.…

Numerical Analysis · Mathematics 2018-05-08 Daria A. Sushnikova , Ivan V. Oseledets

We consider the problem of minimizing a linear function over an affine section of the cone of positive semidefinite matrices, with the additional constraint that the feasible matrix has prescribed rank. When the rank constraint is active,…

Systems and Control · Computer Science 2016-11-22 Simone Naldi

In this short note we perform canonical analysis of the theory invariant under restricted diffeomorphism so that the action contains kinetic term for determinant of metric. We find corresponding Hamiltonian and determine structure of…

General Relativity and Quantum Cosmology · Physics 2023-06-30 J. Kluson

A compound determinant identity for minors of rectangular matrices is established. As an application, we derive Vandermonde type determinant formulae for classical group characters.

Combinatorics · Mathematics 2011-06-16 Masao Ishikawa , Masahiko Ito , Soichi Okada

Differential equations are one of the main approaches to evaluate multi-loop Feynman integrals. The construction of a canonical or $\varepsilon$-factorised basis for multi-loop integrals remains a key bottleneck for this approach,…

High Energy Physics - Theory · Physics 2026-03-03 Claude Duhr , Sara Maggio , Franziska Porkert , Cathrin Semper , Yoann Sohnle , Sven F. Stawinski

In this paper, we formulate the Canonical Correlation Analysis (CCA) problem on matrix manifolds. This framework provides a natural way for dealing with matrix constraints and tools for building efficient algorithms even in an adaptive…

Machine Learning · Computer Science 2012-07-03 Florian Yger , Maxime Berar , Gilles Gasso , Alain Rakotomamonjy
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