Linear Algebra and Galois Theory
Ashish Gupta, Sugata Mandal

TL;DR
This paper explores the application of Galois theory to linear algebra, providing new insights into endomorphism structures, trace, and linear independence through tensor algebra methods.
Contribution
It offers a Galois-theoretic perspective on linear algebraic objects, with shorter, more conceptual proofs using tensor algebra.
Findings
Clarification of rank-one endomorphism structure
Criteria for linear independence derived from Galois theory
Simplified proofs using tensor algebra
Abstract
In \cite{GQ2008} R. Gow and R. Quinlan have cast a new look on the endomorphism algebra of a -vector space of dimension assuming that has a Galois extension of degree . In this approach the -space may serve as a model for and Galois-theoretic ideas and results may be applied to elucidate the structure of endomorphisms and other important objects of linear algebra. In particular, this leads to the clarification of the structure of a rank-one endomorphism, trace of an endomorphism, criteria for linear indepedence etc. We present an exposition of these results using the language of tensor algebra wherever possible to provide shorter and more conceptual proofs.
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Taxonomy
TopicsPolynomial and algebraic computation · History and Theory of Mathematics
