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Introduction to Linear and Matrix Algebra 1st ed. 2021 Edition
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This textbook emphasizes the interplay between algebra and geometry to motivate the study of linear algebra. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. By focusing on this interface, the author offers a conceptual appreciation of the mathematics that is at the heart of further theory and applications. Those continuing to a second course in linear algebra will appreciate the companion volume Advanced Linear and Matrix Algebra.
Starting with an introduction to vectors, matrices, and linear transformations, the book focuses on building a geometric intuition of what these tools represent. Linear systems offer a powerful application of the ideas seen so far, and lead onto the introduction of subspaces, linear independence, bases, and rank. Investigation then focuses on the algebraic properties of matrices that illuminate the geometry of the linear transformations that they represent. Determinants, eigenvalues, and eigenvectors all benefit from this geometric viewpoint. Throughout, “Extra Topic” sections augment the core content with a wide range of ideas and applications, from linear programming, to power iteration and linear recurrence relations. Exercises of all levels accompany each section, including many designed to be tackled using computer software.Introduction to Linear and Matrix Algebra is ideal for an introductory proof-based linear algebra course. The engaging color presentation and frequent marginal notes showcase the author’s visual approach. Students are assumed to have completed one or two university-level mathematics courses, though calculus is not an explicit requirement. Instructors will appreciate the ample opportunities to choose topics that align with the needs of each classroom, and the online homework sets that are available through WeBWorK.
- ISBN-103030528138
- ISBN-13978-3030528133
- Edition1st ed. 2021
- PublisherSpringer
- Publication dateMay 21, 2022
- LanguageEnglish
- Dimensions7 x 1 x 10 inches
- Print length498 pages
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From the Back Cover
This textbook emphasizes the interplay between algebra and geometry to motivate the study of linear algebra. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. By focusing on this interface, the author offers a conceptual appreciation of the mathematics that is at the heart of further theory and applications. Those continuing to a second course in linear algebra will appreciate the companion volume Advanced Linear and Matrix Algebra.
Starting with an introduction to vectors, matrices, and linear transformations, the book focuses on building a geometric intuition of what these tools represent. Linear systems offer a powerful application of the ideas seen so far, and lead onto the introduction of subspaces, linear independence, bases, and rank. Investigation then focuses on the algebraic properties of matrices that illuminate the geometry of the linear transformations that they represent. Determinants, eigenvalues, and eigenvectors all benefit from this geometric viewpoint. Throughout, “Extra Topic” sections augment the core content with a wide range of ideas and applications, from linear programming, to power iteration and linear recurrence relations. Exercises of all levels accompany each section, including many designed to be tackled using computer software.Introduction to Linear and Matrix Algebra is ideal for an introductory proof-based linear algebra course. The engaging color presentation and frequent marginal notes showcase the author’s visual approach. Students are assumed to have completed one or two university-level mathematics courses, though calculus is not an explicit requirement. Instructors will appreciate the ample opportunities to choose topics that align with the needs of each classroom, and the online homework sets that are available through WeBWorK.
About the Author
Nathaniel Johnston is an Associate Professor of Mathematics at Mount Allison University in New Brunswick, Canada. His research makes use of linear algebra, matrix analysis, and convex optimization to tackle questions related to the theory of quantum entanglement. His companion volume, Advanced Linear and Matrix Algebra, is also published by Springer.
Product details
- Publisher : Springer; 1st ed. 2021 edition (May 21, 2022)
- Language : English
- Paperback : 498 pages
- ISBN-10 : 3030528138
- ISBN-13 : 978-3030528133
- Item Weight : 2.08 pounds
- Dimensions : 7 x 1 x 10 inches
- Best Sellers Rank: #5,331,529 in Books (See Top 100 in Books)
- #1,348 in Linear Algebra (Books)
- #4,529 in Algebra & Trigonometry
- Customer Reviews:
About the author

Nathaniel Johnston is an Associate Professor in the Department of Mathematics and Computer Science at Mount Allison University in New Brunswick, Canada. He specializes in linear algebra, quantum information theory, and recreational mathematics.
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To name some good choices:
* he wrote 2 books. This first one does cover a lot of material!! but, as I figured out long ago, traditional books of intro LA lack clarity in some points and this is a consequence of how much material the author aims to pack in one volume.
* how he deals with proofs. This is a very difficult topic in LA, and usually books goes to one of the extremes. This author was brilliant in this challenge. He has a very wise point of view of how much rigour is good enough for most serious learner at intro level. And he fulfiils the chosen level of rigor with exteme supportive style.
* how he deals with secondary content. He is very careful not too overload reader with more than needed to keep advancing on the material. With this in mind, every chapter have a reasonable amount of content as extra topics in the end. Most is useful to everyone and a minority only to some niche group. In any case, its a bless to be allowed to skip this in a first read as it keeps the core structure of the learning leaner and makes more accessible for the reader see bigger picture and connect the dots. This is really unique in this book compared to the competition.
* good exercises set and reasonable proportion of them with detailed solutions provided in the end of the book. Lots of exercises brings light to some secondary detail that helps the understanding of some core material, specially part of proofs that were skipped in the text but directed to the exercise number. With no exception, these cases allways are the ones with solutions provided in the book.
* videos!! his youtube channel has videos covering all materiall Honestly I barely watched some because I prefer written format and the book is that good.



