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We consider a large class of matrix problems, which includes the problem of classifying arbitrary systems of linear mappings. For every matrix problem from this class, we construct Belitskii's algorithm for reducing a matrix to a canonical…

Representation Theory · Mathematics 2007-09-18 Vladimir V. Sergeichuk

The equivalence group is determined for systems of linear ordinary differential equations in both the standard form and the normal form. It is then shown that the normal form of linear systems reducible by an invertible point transformation…

Classical Analysis and ODEs · Mathematics 2015-02-26 JC Ndogmo

Five equivalence classes had been found for systems of two second-order ordinary differential equations, transformable to linear equations (linearizable systems) by a change of variables. An "optimal (or simplest) canonical form" of linear…

Classical Analysis and ODEs · Mathematics 2011-04-19 Muhammad Safdar , Asghar Qadir , Sajid Ali

Canonical matrices are given for (a) bilinear forms over an algebraically closed or real closed field; (b) sesquilinear forms over an algebraically closed field and over real quaternions with any nonidentity involution; and (c) sesquilinear…

Representation Theory · Mathematics 2007-12-17 Roger A. Horn , Vladimir V. Sergeichuk

We exhibit an explicit, deterministic algorithm for finding a canonical form for a positive definite matrix under unimodular integral transformations. We use characteristic sets of short vectors and partition-backtracking graph software.…

Number Theory · Mathematics 2020-11-17 Mathieu Dutour Sikirić , Anna Haensch , John Voight , Wessel P. J. van Woerden

It is proved that feedback classification of a linear system over a commutative von Neumann regular ring R can be reduced to the classification of a finite family of systems, each of which is properly split into a reachable and a…

Dynamical Systems · Mathematics 2011-03-08 Andres Saez-Schwedt , Wiland Schmale

Standard Bayesian approaches for linear time-invariant (LTI) system identification are hindered by parameter non-identifiability; the resulting complex, multi-modal posteriors make inference inefficient and impractical. We solve this…

Machine Learning · Statistics 2025-08-29 Andrey Bryutkin , Matthew E. Levine , Iñigo Urteaga , Youssef Marzouk

This paper uses tools in group theory and symbolic computing to give a classification of the representations of finite groups with order lower than 9 that can be derived from the study of local reversible-equivariant vector fields in…

Dynamical Systems · Mathematics 2009-08-31 Ricardo Miranda Martins , Marco Antonio Teixeira

For a linear difference equation with the coefficients being computable sequences, we establish algorithmic undecidability of the problem of determining the dimension of the solution space including the case when some additional prior…

Symbolic Computation · Computer Science 2024-10-08 Sergei Abramov , Gleb Pogudin

This paper considers the problem of testing whether there exists a non-negative solution to a possibly under-determined system of linear equations with known coefficients. This hypothesis testing problem arises naturally in a number of…

Econometrics · Economics 2021-09-16 Zheng Fang , Andres Santos , Azeem M. Shaikh , Alexander Torgovitsky

A unitary (Euclidean) representation of a quiver is given by assigning to each vertex a unitary (Euclidean) vector space and to each arrow a linear mapping of the corresponding vector spaces. We recall an algorithm for reducing the matrices…

Representation Theory · Mathematics 2007-09-18 Vladimir V. Sergeichuk

The set of badly approximable $m \times n $ matrices is known to have Hausdorff dimension $mn $. Each such matrix comes with its own approximation constant $c$, and one can ask for the dimension of the set of badly approximable matrices…

Number Theory · Mathematics 2015-10-12 Ryan Broderick , Dmitry Kleinbock

Leibniz algebras are certain generalization of Lie algebras. In this paper we give the classification of four dimensional non-Lie nilpotent Leibniz algebras. We use the canonical forms for the congruence classes of matrices of bilinear…

Rings and Algebras · Mathematics 2015-11-24 Ismail Demir , Kailash C. Misra , Ernie Stitzinger

A method is presented that reduces the number of terms of systems of linear equations (algebraic, ordinary and partial differential equations). As a byproduct these systems have a tendency to become partially decoupled and are more likely…

Symbolic Computation · Computer Science 2007-05-23 Thomas Wolf

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 consider small nonlinear perturbations of linear systems on a time scale with the phase space being finite or infinite-dimensional. For $\Delta$-differential operators, corresponding to linear dynamic systems we consider their…

Dynamical Systems · Mathematics 2023-04-13 Svetlin Georgiev , Sergey Kryzhevich

In recent years, differential equations have become the method of choice to compute multi-loop Feynman integrals. Whenever they can be cast into canonical form, their solution in terms of special functions is straightforward. Recently,…

High Energy Physics - Phenomenology · Physics 2023-08-28 Christoph Dlapa , Johannes M. Henn , Fabian J. Wagner

We study the problem of solvability of linear differential systems with small coefficients in the Liouvillian sense (or, by generalized quadratures). For a general system, this problem is equivalent to that of solvability of the Lie algebra…

Classical Analysis and ODEs · Mathematics 2019-08-12 Moulay A. Barkatou , Renat R. Gontsov

We propose an algorithm for classification of linear codes over different finite fields based on canonical augmentation. We apply this algorithm to obtain classification results over fields with 2, 3 and 4 elements.

Discrete Mathematics · Computer Science 2019-07-25 Iliya Bouyukliev , Stefka Bouyuklieva

This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that input signals have only a finite number k of frequency components, and systems to be identified have dimension no…

Optimization and Control · Mathematics 2007-05-23 Pirkko Kuusela , Daniel Ocone , Eduardo D. Sontag
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