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Linear Algebra
A Minimal Polynomial Approach to Eigen Theory
Taschenbuch von Fernando Barrera-Mora
Sprache: Englisch

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Beschreibung
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.

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.

Details
Empfohlen (bis): 16
Empfohlen (von): 13
Erscheinungsjahr: 2023
Fachbereich: Arithmetik & Algebra
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: XX
292 S.
25 s/w Illustr.
25 b/w ill.
ISBN-13: 9783111135892
ISBN-10: 3111135896
Sprache: Englisch
Ausstattung / Beilage: Großformatiges Paperback. Klappenbroschur
Autor: Barrera-Mora, Fernando
Hersteller: De Gruyter
Abbildungen: 25 b/w ill.
Maße: 18 x 170 x 240 mm
Von/Mit: Fernando Barrera-Mora
Erscheinungsdatum: 08.05.2023
Gewicht: 0,597 kg
Artikel-ID: 126494810
Details
Empfohlen (bis): 16
Empfohlen (von): 13
Erscheinungsjahr: 2023
Fachbereich: Arithmetik & Algebra
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: XX
292 S.
25 s/w Illustr.
25 b/w ill.
ISBN-13: 9783111135892
ISBN-10: 3111135896
Sprache: Englisch
Ausstattung / Beilage: Großformatiges Paperback. Klappenbroschur
Autor: Barrera-Mora, Fernando
Hersteller: De Gruyter
Abbildungen: 25 b/w ill.
Maße: 18 x 170 x 240 mm
Von/Mit: Fernando Barrera-Mora
Erscheinungsdatum: 08.05.2023
Gewicht: 0,597 kg
Artikel-ID: 126494810
Warnhinweis