LINEAR ALGEBRA AS AN INTRODUCTION TO ABSTRACT MATHEMATICS
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2016
- Softcover
- New

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This is an introductory textbook designed for undergraduate mathematics majors with an emphasis on abstraction and in particular, the concept of proofs in the setting of linear algebra. Typically such a student would have taken calculus, though the only prerequisite is suitable mathematical grounding. The purpose of this book is to bridge the gap between the more conceptual and computational oriented undergraduate classes to the more abstract oriented classes. The book begins with systems of linear equations and complex numbers, then relates these to the abstract notion of linear maps on finite-dimensional vector spaces, and covers diagonalization, eigenspaces, determinants, and the Spectral Theorem. Each chapter concludes with both proof-writing and computational exercises.
Seller Inventory # LU-9789814723770
- Title
- LINEAR ALGEBRA AS AN INTRODUCTION TO ABSTRACT MATHEMATICS
- Author
- Bruno Nachtergaele, Anne Schilling, Isaiah Lankham
- Publisher
- World Scientific Publishing Co Pte Ltd, SG
- Publication year
- 2016
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 9814723770
- ISBN 13
- 9789814723770
- Dimensions
- 16.99 x 1.19 x 24.41 cm
"This is a well-written book, it might fare better as a potential text for an honors course in linear algebra." Mathematical Association of America This is an introductory textbook designed for undergraduate mathematics majors with an emphasis on abstraction and in particular, the concept of proofs in the setting of linear algebra. Typically such a student would have taken calculus, though the only prerequisite is suitable mathematical grounding. The purpose of this book is to bridge the gap between the more conceptual and computational oriented undergraduate classes to the more abstract oriented classes. The book begins with systems of linear equations and complex numbers, then relates these to the abstract notion of linear maps on finite-dimensional vector spaces, and covers diagonalization, eigenspaces, determinants, and the Spectral Theorem. Each chapter concludes with both proof-writing and computational exercises.
"Synopsis" may belong to another edition of this title.
Rarewaves.com USA
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