Fraction-free algorithm for the computation of diagonal forms matrices over Ore domains using Gr{\"o}bner bases
Viktor Levandovskyy, Kristina Schindelar

TL;DR
This paper introduces a new fraction-free algorithm for computing diagonal forms of matrices over non-commutative Ore domains using Gr{"o}bner bases, enhancing understanding of linear systems with distributional solutions.
Contribution
It presents a novel fraction-free diagonalization algorithm over Ore localizations of G-algebras, applicable to non-commutative Euclidean domains, with practical implementation and performance benefits.
Findings
Fraction-free approach provides more information on linear systems.
Algorithm handles distributional and meromorphic solutions.
Implementation shows improved performance over fraction-based methods.
Abstract
This paper is a sequel to "Computing diagonal form and Jacobson normal form of a matrix using Groebner bases", J. of Symb. Computation, 46 (5), 2011. We present a new fraction-free algorithm for the computation of a diagonal form of a matrix over a certain non-commutative Euclidean domain over a computable field with the help of Gr\"obner bases. This algorithm is formulated in a general constructive framework of non-commutative Ore localizations of -algebras (OLGAs). We split the computation of a normal form of a matrix into the diagonalization and the normalization processes. Both of them can be made fraction-free. For a matrix over an OLGA we provide a diagonalization algorithm to compute and with fraction-free entries such that holds and is diagonal. The fraction-free approach gives us more information on the system of linear functional equations and its…
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