Linear Algebra by Serge Lang: Undergrad Theory & Applications

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SUMMARY

Serge Lang's "Linear Algebra" is a comprehensive undergraduate textbook that covers essential topics such as vector spaces, matrices, linear mappings, determinants, and their applications. The book emphasizes theoretical foundations while providing practical examples, making it suitable for students with a basic understanding of matrices and proofs. Key concepts include scalar products, eigenvalues, and the spectral theorem, which are crucial for advanced studies in mathematics and engineering.

PREREQUISITES
  • Familiarity with matrices
  • Understanding of mathematical proofs
  • Basic knowledge of vector spaces
  • Introductory concepts of linear equations
NEXT STEPS
  • Study the properties of eigenvectors and eigenvalues in depth
  • Explore the applications of the spectral theorem in various fields
  • Learn about the Jordan normal form and its significance in linear algebra
  • Investigate the relationship between linear mappings and their matrix representations
USEFUL FOR

This discussion is beneficial for undergraduate students in mathematics, educators teaching linear algebra, and professionals in engineering and computer science seeking to strengthen their understanding of linear algebra concepts and applications.

For those who have used this book

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Table of Contents:
Code:
[LIST]
[*] Basic Theory
[LIST]
[*] Vectors
[LIST]
[*] Definition of points in n-space 
[*] Located vectors
[*] Scalar product 
[*] The norm of a vector 
[*] Lines and planes 
[*] The cross product 
[*] Complex numbers 
[/LIST]
[*] Vector Space
[LIST]
[*] Definitions 
[*] Bases
[*] Dimension of a vector space 
[*] Sums and direct sums
[/LIST]
[*] Matrices
[LIST]
[*] The space of matrices
[*] Linear equations
[*] Multiplication of matrices
[*] Appendix. Elimination
[/LIST]
[*] Linear Mappings 
[LIST]
[*] Mappings 
[*] Linear mappings 
[*] The kernel and image of a linear map 
[*] Composition and inverse of linear mappings. 
[*] Geometric applications
[/LIST]
[*] Linear Maps and Matrices 
[LIST]
[*] The linear map associated with a matrix 
[*] The matrix associated with a linear map
[*] Bases, matrices, and linear maps
[/LIST]
[*] Scalar Products and Orthogonality
[LIST]
[*] Scalar products
[*] Orthogonal bases, positive definite case
[*] Application to linear equations
[*] Bilinear maps and matrices
[*] General orthogonal bases
[*] The dual space
[/LIST]
[*] Determinants
[LIST]
[*] Determinants of order 2
[*] Existence of determinants
[*] Additional properties of determinants
[*] Cramer's rule
[*] Permutations 
[*] Uniqueness 
[*] Determinant of a transpose 
[*] Determinant of a product
[*] Inverse of a matrix
[*] The rank of a matrix and subdeterminants
[*] Determinants as area and volume 
[/LIST]
[/LIST]
[*] Structure Theorems 
[LIST]
[*] Bilinear Forms and the Standard Operators
[LIST]
[*] Bilinear forms 
[*] Quadratic forms
[*] Symmetric operators 
[*] Hermitian operators 
[*] Unitary operators 
[*] Sylvester's theorem
[/LIST]
[*] Polynomials and Matrices 
[LIST]
[*] Polynomials
[*] Polynomials of matrices and linear maps 
[*] Eigenvectors and eigenvalues
[*] The characteristic polynomial
[/LIST]
[*] Triangulation of Matrices and Linear Maps 
[LIST]
[*] Existence of triangulation
[*] Theorem of Hamilton-Cayley 
[*] Diagonalization of unitary maps
[/LIST]
[*] Spectral Theorem 
[LIST]
[*] Eigenvectors of symmetric linear maps
[*] The spectral theorem 
[*] The complex case 
[*] Unitary operators
[/LIST]
[*] Polynomials and Primary Decomposition
[LIST]
[*] The Euclidean algorithm 
[*] Greatest common divisor 
[*] Unique factorization
[*] The integers
[*] Application to the decomposition of a vector space
[*] Schur's lemma 
[*] The Jordan normal form 
[/LIST]
[/LIST]
[*] Relations with Other Structures 
[LIST]
[*] Multilinear Products 
[LIST]
[*] The tensor product
[*] Isomorphisms of tensor products
[*] Alternating products: Special case
[*] Alternating products: General case
[*] Appendix: The vector space generated by a set
[/LIST]
[*] Groups
[LIST]
[*] Groups and examples
[*] Simple properties of groups
[*] Cosets and normal subgroups
[*] Cyclic groups
[*] Free abelian groups
[/LIST]
[*] Rings
[LIST]
[*] Rings and ideals
[*] Homomorphisms
[*] Modules
[*] Factor modules
[/LIST]
[/LIST]
[*] Appendix: Convex Sets
[LIST]
[*]  Definitions 
[*] Separating hyperplanes
[*] Extreme points and supporting hyperplanes
[*] The Krein-Milman theorem 
[/LIST]
[*] Appendix: Odds and Ends 
[LIST]
[*] Induction 
[*] Algebraic closure of the complex numbers 
[*] Equivalence relations 
[/LIST]
[*] Appendix: Angles
[*] Answers 
[*] Index 
[/LIST]
 
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