Linear Algebra: A Minimal Polynomial Approach to Eigen Theory - Couverture souple

Barrera-Mora, Fernando

 
9783111135892: Linear Algebra: A Minimal Polynomial Approach to Eigen Theory
Couverture souple
ISBN 10 : 3111135896 ISBN 13 : 9783111135892
Editeur : De Gruyter, 2023

Synopsis

There are numerous linear algebra textbooks available on the market. Yet, there are few that approach the notion of eigenvectors and eigenvalues across an operator's minimum polynomial.

In this book, we take that approach. This book provides a thorough introduction to the fundamental concepts of linear algebra. The material is divided into two sections: Part I covers fundamental concepts in linear algebra, whereas Part II covers the theory of determinants, the theory of eigenvalues and eigenvectors, and fundamental results on Euclidean vector spaces. We highlight that:

Consider hypothetical manufacturing models as a starting point for studying linear equations. There are two novel ideas in the book: the use of a production model to motivate the concept of matrix product and the use of an operator's minimal polynomial to describe the theory of eigenvalues and eigenvectors.

Several examples incorporate the use of SageMath., allowing the reader to focus on conceptual comprehension rather than formulas.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Fernando Barrera-Mora, Autonomous Univ. of Hidalgo State, Mexico

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
De Gruyter
Date d'édition
2023
Langue
anglais
ISBN 10 
3111135896
ISBN 13 
9783111135892
Reliure
Broché
Nombre de pages
312
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne