Linear Algebra Introduction to Linear Algebra by Lang

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Serge Lang's "Introduction to Linear Algebra" is designed for undergraduate students with a prerequisite understanding of high school mathematics. The book covers essential topics in linear algebra, including vectors, matrices, vector spaces, linear mappings, determinants, and eigenvalues. Key concepts such as scalar products, linear independence, and the rank of a matrix are thoroughly explored. The text emphasizes the relationship between linear maps and matrices, providing insights into composition and inverse mappings. Additionally, it addresses practical applications of determinants and eigenvalues, particularly in relation to symmetric matrices. The book aims to maintain clarity and coherence, building on foundational knowledge while introducing advanced topics.

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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.
 
Many years ago, as the internet was coming of age, I burned over 500 pounds of technical manuals. I realized I can look things up on the internet faster than I can find something in a technical manual. And just about anything I might need could be found online. But letting go of my several shelves worth of college text and other science books is another matter. I can't bring myself to get rid of them but there is very little if anything I can't find online now. Books are heavy and a pain...

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