Introduction to Linear Algebra by Lang

In summary, "Introduction to Linear Algebra" by Serge Lang is a comprehensive guide to the fundamentals of linear algebra, covering topics such as vectors, matrices, vector spaces, linear mappings, composition and inverse mappings, scalar products and orthogonality, determinants, and eigenvectors and eigenvalues. The book is suitable for undergraduates with a background in high-school mathematics and includes exercises and answers for practice.

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Table of Contents:
Code:
[LIST]
[*] Vectors
[LIST]
[*] Definition of Points in Space
[*] Located Vectors
[*] Scalar Product
[*] The Norm of a Vector
[*] Parametric Lines
[*] Planes
[/LIST]
[*] Matrices and Linear Equations
[LIST]
[*] Matrices
[*] Multiplication of Matrices
[*] Homogeneous Linear Equations and Elimination
[*] Row Operations and Gauss Elimination
[*] Row Operations and Elementary Matrices
[*] Linear Combinations
[/LIST]
[*] Vector Spaces
[LIST]
[*]  Definitions
[*] Linear Combinations
[*]  Convex Sets
[*] Linear Independence
[*] Dimension
[*] The Rank of a Matrix
[/LIST]
[*] Linear Mappings
[LIST]
[*] Mappings
[*] Linear Mappings
[*] The Kernel and Image of a Linear Map
[*] The Rank and Linear Equations Again
[*] The Matrix Associated with a Linear Map
[*] Appendix: Change of Bases
[/LIST]
[*] Composition and Inverse Mappings
[LIST]
[*] Composition of Linear Maps
[*] Inverses
[/LIST]
[*] Scalar Products and Orthogonality
[LIST]
[*]  Scalar Products 
[*]  Orthogonal Bases 
[*]  Bilinear Maps and Matrices
[/LIST]
[*] Determinants
[LIST]
[*] Determinants of Order 2
[*] The Rank of a Matrix and Subdeterminants
[*] Cramer's Rule
[*] Inverse of a Matrix
[*] Determinants as Area and Volume
[/LIST]
[*] Eigenvectors and Eigenvalues 
[LIST]
[*] Eigenvectors and Eigenvalues
[*] The Characteristic Polynomial
[*] Eigenvalues and Eigenvectors of Symmetric Matrices
[*] Diagonalization of a Symmetric Linear Map
[/LIST]
[*] Appendix: Complex Numbers
[*] Answers to Exercises
[*] Index
[/LIST]
 
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  • #2


well again i am handicapped by prior familiarity with earlier versions of these books from 40 years ago. i was originally very impressed by his book because it had chapters entitled:

"the linear map associated to a matrix"

and " the matrix associated to a linear map>

only one of these seems to survive here, but i presume it is as clear as the earlier one.
 

FAQ: Introduction to Linear Algebra by Lang

What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of linear equations, vectors, and linear transformations. It involves the use of algebraic techniques to solve and analyze systems of linear equations.

Why is linear algebra important?

Linear algebra is an essential tool in various fields such as physics, engineering, computer science, economics, and statistics. It provides a powerful framework for solving complex problems and understanding real-world phenomena.

Who is the author of "Introduction to Linear Algebra" by Lang?

The author of "Introduction to Linear Algebra" is Serge Lang, a renowned mathematician and professor at Yale University. He is also known for his contributions to number theory, algebra, and analysis.

What topics are covered in "Introduction to Linear Algebra" by Lang?

The book covers fundamental concepts of linear algebra such as vector spaces, matrices, determinants, eigenvalues and eigenvectors, and linear transformations. It also includes applications of linear algebra in various fields.

Is "Introduction to Linear Algebra" suitable for beginners?

While the book assumes some mathematical background, it is written in a clear and concise manner, making it suitable for beginners. It also includes many examples and exercises to help readers grasp the concepts effectively.

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