Introduction to Linear Algebra by Lang

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SUMMARY

Serge Lang's "Introduction to Linear Algebra" is a comprehensive textbook designed for undergraduate students, requiring only high-school mathematics as a prerequisite. The book covers essential topics such as vectors, matrices, vector spaces, linear mappings, determinants, and eigenvalues, providing a solid foundation in linear algebra. Key concepts include scalar products, Gauss elimination, and diagonalization of symmetric linear maps. The text is well-structured, making it accessible for students with varying levels of familiarity with the subject.

PREREQUISITES
  • High-school mathematics

None - suitable for all levels.

NEXT STEPS
  • Explore advanced topics in linear algebra, such as "Eigenvalues and Eigenvectors of Symmetric Matrices."
  • Study "Gauss Elimination" techniques for solving linear equations.
  • Learn about "Linear Independence" and its implications in vector spaces.
  • Investigate "Diagonalization of a Symmetric Linear Map" for practical applications.
USEFUL FOR

Undergraduate students, educators in mathematics, and anyone seeking to strengthen their understanding of linear algebra concepts and applications.

For those who have used this book

  • Lightly Recommend

    Votes: 0 0.0%
  • Lightly don't Recommend

    Votes: 0 0.0%
  • Strongly don't Recommend

    Votes: 0 0.0%

  • Total voters
    1
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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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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.
 

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