Skip navigation Download free eBooks and textbooks

Choose a category

Elementary Linear Algebra

Elementary Linear Algebra
4.6 (27 reviews) Read reviews
ISBN: 978-87-403-1425-0
2 edition
Pages : 550
  • Price: 129.00 kr
  • Price: €13.99
  • Price: £13.99
  • Price: ₹250
  • Price: $13.99
  • Price: 129.00 kr
  • Price: 129.00 kr

Download for FREE in 4 easy steps...

We are terribly sorry, but in order to download our books or watch our videos, you will need a browser that allows JavaScript.
Can we interest you in some FREE eBooks and relevant Bookboon updates?
After entering your email address, a confirmation email will be sent to your inbox. Please approve this email to receive our weekly eBook update. We will not share your personal information with any third party.
Unlock your organization's learning potential
See Demo

Corporate eLibrary

Discover our employee learning solutions

This is a Premium eBook

Bookboon Premium - Gain access to over 800 eBooks - without ads

You can get free access for a month to this - and 800 other books with the Premium Subscription. You can also buy the book below

  • Start a 30-day free trial. After trial: 39.99 kr p/m
  • Start a 30-day free trial. After trial: €5.99 p/m
  • Start a 30-day free trial. After trial: £4.99 p/m
  • Start a 30-day free trial. After trial: ₹299 p/m
  • Start a 30-day free trial. After trial: $3.99 p/m
  • Start a 30-day free trial. After trial: 39.99 kr p/m
  • Start a 30-day free trial. After trial: 39.99 kr p/m
Unlock your organization's learning potential
Click here!

Corporate eLibrary

Discover our employee learning solutions

About the book

  1. Reviews
  2. Description
  3. Content


Brice Taylor ★★★★★

Excellent, very comprehensive, and well written. Includes problem sets and answers. Portions would be a great primer for a university class, and is a great reference for theory.


This is an introduction to linear algebra. The main part of the book features row operations and everything is done in terms of the row reduced echelon form and specific algorithms. At the end, the more abstract notions of vector spaces and linear transformations on vector spaces are presented. This is intended to be a first course in linear algebra for students who are sophomores or juniors who have had a course in one variable calculus and a reasonable background in college algebra.


  1. Some Prerequisite Topics
    1. Sets And Set Notation
    2. Functions
    3. Graphs Of Functions
    4. The Complex Numbers
    5. Polar Form Of Complex Numbers
    6. Roots Of Complex Numbers
    7. The Quadratic Formula
    8. Exercises
  2. Fn
    1. Algebra in Fn
    2. Geometric Meaning Of Vectors
    3. Geometric Meaning Of Vector Addition
    4. Distance Between Points In Rn Length Of A Vector
    5. Geometric Meaning Of Scalar Multiplication
    6. Exercises
    7. Vectors And Physics
    8. Exercises
  3. Vector Products
    1. The Dot Product
    2. The Geometric Significance Of The Dot Product
    3. Exercises
    4. The Cross Product
    5. The Vector Identity Machine
    6. Exercises
  4. Systems Of Equations
    1. Systems Of Equations, Geometry
    2. Systems Of Equations, Algebraic Procedures
    3. Exercises
  5. Matrices
    1. Matrix Arithmetic
    2. Exercises
  6. Determinants
    1. Basic Techniques And Properties
    2. Applications
    3. Exercises
  7. The Mathematical Theory Of Determinants
    1. The Function sgnn
    2. The Determinant
    3. The Cayley Hamilton Theorem
  8. Rank Of A Matrix
    1. Elementary Matrices
    2. THE Row Reduced Echelon Form Of A Matrix
    3. The Rank Of A Matrix
    4. Fredholm Alternative
    5. Exercises
  9. Linear Transformations
    1. Linear Transformations
    2. Constructing The Matrix Of A Linear Transformation
    3. Exercises
  10. The LU Factorization
    1. Definition Of An LU factorization
    2. Finding An LU Factorization By Inspection
    3. Using Multipliers To Find An LU Factorization
    4. Solving Systems Using The LU Factorization
    5. Justification For The Multiplier Method
    6. The PLU Factorization
    7. The QR Factorization
    8. Exercises
  11. Linear Programming
    1. Simple Geometric Considerations
    2. The Simplex Tableau
    3. The Simplex Algorithm
    4. Finding A Basic Feasible Solution
    5. Duality
    6. Exercises
  12. Spectral Theory
    1. Eigenvalues And Eigenvectors Of A Matrix
    2. Some Applications Of Eigenvalues And Eigenvectors
    3. The Estimation Of Eigenvalues
    4. Exercises
  13. Matrices And The Inner Product
    1. Symmetric And Orthogonal Matrices
    2. Fundamental Theory And Generalizations
    3. Least Square Approximation
    4. The Right Polar Factorization
    5. The Singular Value Decomposition
    6. Approximation In The Frobenius Norm
    7. Moore Penrose Inverse
    8. Exercises
  14. Numerical Methods For Solving Linear Systems
    1. Iterative Methods For Linear Systems
    2. The Operator Norm
    3. The Condition Number
    4. Exercises
  15. Numerical Methods For Solving The Eigenvalue Problem
    1. The Power Method For Eigenvalues
    2. The Shifted Inverse Power Method
    3. The Rayleigh Quotient
    4. The QR Algorithm
    5. Exercises
  16. Vector Spaces
    1. Algebraic Considerations
    2. Exercises
    3. Vector Spaces And Fields
    4. Exercises
    5. Inner Product Spaces
    6. Exercises
  17. Linear Transformations
    1. Matrix Multiplication As A Linear Transformation
    2. L(V,W) As A Vector Space
    3. Eigenvalues And Eigenvectors Of Linear Transformations
    4. Block Diagonal Matrices
    5. The Matrix Of A Linear Transformation
    6. Exercises
  18. The Jordan Canonical Form*
  19. The Fundamental Theorem Of Algebra
  20. Answers To Selected Exercises
This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with EU regulation.