Linear Algebra Linear Algebra by Serge Lang: Undergrad Theory & Applications

AI Thread Summary
"Linear Algebra" by Serge Lang is a comprehensive undergraduate textbook that covers essential topics in linear algebra, including basic theory, vector spaces, matrices, linear mappings, determinants, and their applications. The book begins with foundational concepts such as vectors, scalar products, and the geometry of lines and planes, progressing to more complex topics like bilinear forms, eigenvalues, and the spectral theorem. It also explores the relationships between linear algebra and other mathematical structures, including groups and rings. The text emphasizes the importance of understanding linear mappings and their matrix representations, providing a solid framework for students familiar with matrices and proofs. Additionally, the book includes appendices on convex sets, induction, and algebraic closure, making it a valuable resource for deeper mathematical exploration.

For those who have used this book

  • Lightly Recommend

    Votes: 0 0.0%
  • Strongly don't Recommend

    Votes: 0 0.0%

  • Total voters
    2
micromass
Staff Emeritus
Science Advisor
Homework Helper
Insights Author
Messages
22,169
Reaction score
3,327

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]
 
Last edited by a moderator:
Physics news on Phys.org
For the following four books, has anyone used them in a course or for self study? Compiler Construction Principles and Practice 1st Edition by Kenneth C Louden Programming Languages Principles and Practices 3rd Edition by Kenneth C Louden, and Kenneth A Lambert Programming Languages 2nd Edition by Allen B Tucker, Robert E Noonan Concepts of Programming Languages 9th Edition by Robert W Sebesta If yes to either, can you share your opinions about your personal experience using them. I...
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!
This is part 2 of my thread Collection of Free Online Math Books and Lecture Notes Here, we will consider physics and mathematical methods for physics resources. Now, this is a work in progress. Please feel free comment regarding items you want to be included, or if a link is broken etc. Note: I will not post links to other collections, each link will point you to a single item. :book:📚📒 [FONT=trebuchet ms]Introductory college/university physics College Physics, Openstax...

Similar threads

  • Poll Poll
Replies
1
Views
4K
  • Poll Poll
Replies
4
Views
7K
Replies
2
Views
6K
  • Poll Poll
Replies
6
Views
10K
Replies
2
Views
4K
  • Poll Poll
Replies
1
Views
4K
  • Poll Poll
Replies
3
Views
5K
  • Poll Poll
Replies
3
Views
6K
  • Poll Poll
Replies
3
Views
8K
Back
Top