Linear Algebra with Applications by Bretscher

In summary, "Linear Algebra with Applications" by Otto Bretscher is a comprehensive textbook that covers topics such as linear equations, linear transformations, subspaces, linear spaces, orthogonality, determinants, eigenvalues, and differential equations. The writing style is clear and includes historical examples and occasional humor. Some readers may find the notation used in the book to be unusual, but it is still considered a valuable resource for learning linear algebra.

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  • #1
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Table of Contents:
Code:
[LIST]
[*] Text Features
[*] Preface
[*] Linear Equations
[LIST]
[*] Introduction to Linear Systems
[*] Matrices, Vectors, and Gauss-Jordan Elimination
[*] On the Solutions of Linear Systems; Matrix Algebra
[/LIST]
[*] Linear Transformations
[LIST]
[*] Introduction to Linear Transformations and Their Inverses
[*] Linear Transformations in Geometry
[*] Matrix Products
[*] The Inverse of a Linear Transformation
[/LIST]
[*] Subspaces of Mn and Their Dimensions
[LIST]
[*] Image and Kernel of a Linear Transformation
[*] Subspaces of R^n; Bases and Linear Independence
[*] The Dimension of a Subspace of R^n
[*] Coordinates
[/LIST]
[*] Linear Spaces
[LIST]
[*] Introduction to Linear Spaces
[*] Linear Transformations and Isomorphisms
[*] The Matrix of a Linear Transformation
[/LIST]
[*] Orthogonality and Least Squares
[LIST]
[*] Orthogonal Projections and Orthonormal Bases
[*] Gram-Schmidt Process and QR Factorization
[*] Orthogonal Transformations and Orthogonal Matrices
[*] Least Squares and Data Fitting
[*] Inner Product Spaces
[/LIST]
[*] Determinants
[LIST]
[*] Introduction to Determinants
[*] Properties of the Determinant
[*] Geometrical Interpretations of the Determinant; Cramer’s Rule
[/LIST]
[*] Eigenvalues and Eigenvectors
[LIST]
[*] Dynamical Systems and Eigenvectors: An Introductory Example
[*] Finding the Eigenvalues of a Matrix
[*] Finding the Eigenvectors of a Matrix
[*] Diagonalization
[*] Complex Eigenvalues
[*] Stability
[/LIST]
[*] Symmetric Matrices and Quadratic Forms
[LIST]
[*] Symmetric Matrices
[*] Quadratic Forms
[*] Singular Values
[/LIST]
[*] Linear Differential Equations
[LIST]
[*] An Introduction to Continuous Dynamical Systems
[*] The Complex Case: Euler’s Formula
[*] Linear Differential Operators and Linear Differential Equations
[/LIST]
[*] Appendix: Vectors
[*] Answers to Odd-Numbered Exercises
[*] Subject Index 
[*] Name Index
[/LIST]
 
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  • #2
Using this book in my linear algebra course right now and I love the writing style, very clear examples and approach. There's even very cool historical examples, and splashes of wit/humor, but tastefully done.

It's been criticized by some for some of it's notation, which people seem not to like or find weird, but which I actually find cool, but I'm a fan of inventive visual notation.

-Dave K
 

Related to Linear Algebra with Applications by Bretscher

1. What is Linear Algebra?

Linear Algebra is a branch of mathematics that deals with linear equations, linear transformations, and vector spaces. It involves the study of systems of linear equations, matrices, determinants, vector spaces, and linear transformations.

2. What are the applications of Linear Algebra?

Linear Algebra has a wide range of applications in various fields such as engineering, physics, economics, computer graphics, and data analysis. It is used to solve systems of linear equations, model real-world situations, and analyze data.

3. Who is the author of "Linear Algebra with Applications by Bretscher"?

The author of "Linear Algebra with Applications" is David C. Bretscher. He is a professor emeritus of mathematics at the University of British Columbia and has written several books on Linear Algebra and other topics in mathematics.

4. What makes "Linear Algebra with Applications by Bretscher" stand out from other Linear Algebra textbooks?

"Linear Algebra with Applications by Bretscher" is known for its clear and concise explanations, numerous examples, and real-world applications. It also includes interactive exercises and online resources for further practice and understanding.

5. Do I need a strong background in mathematics to understand "Linear Algebra with Applications by Bretscher"?

While a basic understanding of algebra is helpful, "Linear Algebra with Applications by Bretscher" is designed for students with varying levels of mathematical background. The book starts with the basics and gradually introduces more advanced concepts, making it accessible to students with different levels of mathematical proficiency.

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