Linear Algebra
This page is dedicated to Shaheed Bibi Paramjit Kaur.
Linear Algebra Step by Step – the URL of the book is
http://www.oup.co.uk/companion/singh
Complete solutions to all exercises in the book are here:
The following video explains why linear algebra is important.
https://www.youtube.com/watch?v=kjBOesZCoqc&index=1&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Topic Videos and Test Questions
All the test questions below were developed by Dr Martin Greenhow and his team at Brunel University London. (You can enter any name and any number like 123 for your student number. Also don’t need to give your email address, just enter a school where it asks for your email address.) You can do the test as many times as you wish as the numbers change every time you refresh the page.
Chapter 1 Linear Equations and Matrices
Section 1.1
Systems of Linear Equations Pages 1-6.
Systems of Linear Equations 1.1 pages 6-11
Section 1.2
Section 1.2 Gaussian Elimination pages 12-15
Section 1.2 Gaussian Elimination pages 22-25
Section 1.2 Gaussian Elimination Examples
Exam question on Gaussian Elimination
Section 1.2 Reduced Row Echelon Form
Reduced Row echelon form for a larger system
Test on Gaussian Elimination – Section 1.2
Section 1.3
Chapter 1 Section 1.3 Vector Arithmetic pages 27-30
Chapter 1 Section 1.3 Vector Arithmetic pages 30-33
Chapter 1 Section 1.3 Vector Arithmetic pages 33-37
Section 1.4
Chapter 1.4 Arithmetic of Matrices pages 41-46
Chapter 1.4 Arithmetic of Matrices pages 47-52
Chapter 1.4 Arithmetic of Matrices pages 52-55
Section 1.4 Arithmetic of Matrices Examples
Section 1.4 Arithmetic of Matrices Examples II
Test on Arithmetic of Matrices – Section 1.4
Section 1.5
Chapter 1.5 Matrix Algebra pages 52-62
Chapter 1.5 Matrix Powers page 70-73
Section 1.5 Matrix Algebra Examples
Section 1.5 Matrix Algebra another example
Section 1.5 Matrix Algebra more examples
Section 1.5 Online testing example
Test on Manipulation of Matrices – Section 1.5
Section 1.6
Chapter 1.6 The Transpose and Inverse of a Matrix Pages 75-79
Chapter 1.6 The Identity and Inverse Matrix pages 80-82
Section 1.6 The Transpose and Inverse Matrix pages 83-85
Section 1.6 Properties of the Inverse Matrix pages 85-89
Section 1.6 Transpose and Inverse of a matrix examples
Section 1.6 Transpose and Inverse of a Matrix examples II
Proof based question on section 1.6
Exam type questions on section 1.6
Section 1.7
Section 1.7 Types of Solutions pages 91-95
Section 1.7 Types of solutions example
Exam type questions on section 1.7
Exam questions on sections 1.6 and 1.7.pdf
Section 1.8
Section 1.8 Inverse Matrix Method pages 105-108
Section 1.8 Inverse Matrix Method pages 108-110
Section 1.8 The Inverse Matrix Method pages 110-115
Section 1.8 Exercises 1.8 question 4(e) page 118
Section 1.8 Exercises 1.8 Question 4d page 118
Section 1.8 Exercises 1.8 question 4c page 118
Miscellaneous Exercises 1 Question 1.27 page 124
Miscellaneous Exercises 1 Question 16 page 122
Chapter 2 Euclidean Space
Section 2.1 Properties of Vectors pages 129-130
Section 2.1 Properties of Vectors pages 130-36
Section 2.1 Properties of Vectors pages 136-39
Exercises 2.1 Questions 3 and 5 page 142
Exam question 2.15 on pages 187-88
Section 2.2 Further Properties of Vectors pages 143-49
Section 2.2 Inequalities pages 149-154
Section 2.2 Exercises 2.2 page 157
Notes for section 2,2 are here Section 2.2.pdf
Section 2.3 Linear Independence pages 159-165
Section 2.3 Linear Independence pages 165-69
Section 2.3 Linear Independence exercises 2.3
Section 2.3 Exam Question page 186
Notes for section 2.3 are here Section 2.3.pdf
Section 2.4 Basis and Spanning Set pages 178-182
Chapter 3 General Vector Spaces
Section 3.1 Introduction to Vector Spaces pages 191-194
Section 3.1 Introduction to Vector Spaces pages 196-200
Here are the notes for section 3.1 SECTION 3.1.pdf
Section 3.2 Subspace of a Vector Space pages 202-207
Section 3.2 Subspace of a Vector Space pages 208-209
Exercises 3.2 Questions 10 and 12 page 215
Exercises 3.2 part II pages 214-16
Here are the notes for section 3.2 SECTION 3.2.pdf
Section 3.3 Linear Independence and Basis pages 216-221
Section 3.3 Linear Independence and Basis pages 223-227
Exam questions on Section 3.3 page 272
Here are the notes for section 3.3 section 3.3.pdf
Section 3.4 Dimension pages 229-231
Exam questions on 3.4 page 274
Here are the notes for section 3.4 Section 3.4.pdf
Here are the notes for section 3.5 section 3.5.pdf
Section 3.6.1 Null Space pages 254-55
Section 3.6.1 Null Space pages 255-58
3.6.2 Properties of rank and nullity pages 259-67
Notes for section 3.6 are here Section 3.6.pdf
Chapter 4 Inner product spaces
Section 4.1 Introduction to I…r Product Spaces pages 282-85
Section 4.1 Introduction to I…r Product Spaces pages 286-88
Exercises 4.1 Inner Product Space pages 288-90
Exam question on Inner Product Spaces pages 335-36
Notes on section 4.1 are here section 4.1.pdf
Chapter 6 Determinants and the inverse matrix
Section 6.1: Determinant of a 2 by 2 matrix Pages 431 – 438
Notes on the determinant of 2 by 2 matrix
Here are the notes for section 6.1 section 6.1.pdf
Section 6.2: Cofactors Pages 441- 442
Section 6.2: Determinant and Inverse of a matrix Pages 442 to 452
Notes on Determinant of n by n and inverse matrix
Here are the notes for Exercises 6.2 Sect ion 6.2.pdf
Here are the notes for this part Section 6.2 part II.pdf
Test on Inverse and other properties of a matrix – Section 6.2
Here are the notes for this part section 6.3.pdf
Chapter 7 Eigenvalues and eigenvectors
Section 7.1 Introduction to Eigenvalues and Eigenvectors Pages 491 497
Notes on Section 7.1 Pages 491-497
Section 7.1 Introduction to Evalues and Evectors Pages 497-502
Notes on Section 7.1 Pages 497 – 502
Online test on eigenvalues and eigenvectors
Online test on eigenvalues and eigenvectors of 3 by 3 matrices
Test on Properties of Eigenvalues and Eigenvectors - Section 7.2
Section 7.2 Properties of Eigenvalues\vectors Pages 503 – 507
Notes on Section 7.2 Pages 503 – 507
Section 7.2 Properties of Eigenvalues\vectors Pages 507 – 513
Notes on Section 7.2 Pages 507-513
Section 7.2 Cayley Hamilton Theorem pages 513-517
Notes on Section 7.2 Cayley Hamilton Theorem Pages 513-517
Section 7.3 Diagonalization pages 518-522
Notes on Section 7.3 Diagonalization Pages 518-522
Section 7.3 Introduction to Diagonalisation page 522 – 526
The notes for section 7.3 are here Section 7.3
Section 7.4 Orthogonal Diagonalization pages 537
Notes on Section 7.4 Orthogonal Diagonalization page 537
Here are the notes for section 7.4 Section 7.4
Miscellaneous Exercises 7 question 21 exam question
Here are the notes for Miscellaneous exercises 7 Miscellaneous 7
A collection of 267 Supplementary Problems with Brief Solutions are at the following link: Supplementary Problems
A collection of 267 Supplementary Problems on Linear Algebra divided into chapters with complete solutions.
A collection of 60 Problems on Chapter 1
Complete Solutions to Problems on Chapter 1
A collection of 35 Problems on Chapter 2
Complete Solutions to Problems on Chapter 2
A collection of 41 Problems on Chapter 3
Complete Solutions to Problems on Chapter 3
A collection of 28 Problems on Chapter 4
Complete Solutions to Problems on Chapter 4
A collection of 27 Problems on chapter 5
Complete Solutions to Problems on chapter 5
A collection of 25 Problems on Chapter 6
Complete Solutions to Problems on Chapter 6
A collection of 51 Problems on Chapter 7
Complete Solutions to Problems on Chapter 7
Applications of Linear Algebra
SVD application by Becky Wheeler is here
An application of Linear algebra in quantum computing by Grant Hubbard is here
A good account of the history of mathematics is MacTutor History of Mathematics which is here.
Below is a set of supplementary notes on Linear Algebra.
Notes on Proof by Mathematical Induction.
Introductory CHAPTER: Mathematical Logic, Proof, and Sets
Complete Solutions to Exercise 1j
Supplementary Problems on Mathematical Induction
Complete Solutions to Supplementary Problems on Mathematical Induction
Chapter 6: Determinants
Cramer Rule
SECTION E-Applications of Determinant
Complete Solutions to Exercise 6e
Chapter 7: Eigenvalues and Eigenvectors
Complete solutions to chapter 7
Harish Chandra 1923 to 1983
In mathematics, there is an empty canvas before you, which can be filled without reference to external reality.
Mathematicians on Creativity by Peter Borwein
Hermann Schubert (1848 to 1911)
The three positive characteristics that distinguish mathematical knowledge from other knowledge may be briefly expressed as follows; first, mathematical knowledge bears more distinctly the imprint of truth on all its results than any other kind of knowledge; secondly, it is always a sure preliminary step to the attainment of other correct knowledge; thirdly, it has no need of other knowledge.
Hermann Schubert in ‘Mathematical Essays and Recreations’ 1898
This is a direct quote from ‘Mathematicians on Creativity by Peter Borwein
Test and Examination Papers in Linear Algebra
A good way to revise for examination is to try past examination papers. It is important that you attempt the paper without looking at the solutions. Even if you get stuck, it is better to have a go at the question and then at the end mark your paper. This is a much more effective way of learning because you will have an understanding of the material and now what is required of you. Of course, this is much harder but also more rewarding.
Linear Algebra web link:
The following is a fantastic source of videos on linear algebra. Please check it out.