Linear Algebra Introduction to Linear Algebra by Lang

AI Thread Summary
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.

For those who have used this book

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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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Hi, I have notice that Ashcroft, Mermin and Wei worked at a revised edition of the original solid state physics book (here). The book, however, seems to be never available. I have also read that the reason is related to some disputes related to copyright. Do you have any further information about it? Did you have the opportunity to get your hands on this revised edition? I am really curious about it, also considering that I am planning to buy the book in the near future... Thanks!

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