Linear Algebra

Reg Allenby

• Publisher: Butterworth-Heinemann
• Year: 1995
• Print ISBN: 9780340610442
• eBook ISBN: 9780080571799
• Topic: Mathematics
• Subtopic: Linear Algebra
• Index: Mathematics

As the basis of equations (and therefore problem-solving), linear algebra is the most widely taught sub-division of pure mathematics. Dr Allenby has used his experience of teaching linear algebra to write a lively book on the subject that includes historical information about the founders of the subject as well as giving a basic introduction to the mathematics undergraduate. The whole text has been written in a connected way with ideas introduced as they occur naturally. As with the other books in the series, there are many worked examples.

1

Systems of Simultaneous Linear Equations

Solutions of systems of simultaneous linear equations (also called linear systems) arise in very many real life situations; for just a couple of instances see the Applications at the end of the chapter. Here we show how to solve such systems (much as a computer would) by simplifying them in a systematic way. We shall also see how to interpret the results we obtain geometrically.

In 1849 the French mathematician Joseph Alfred Serret (30 August 1819–2 March 1885) wrote: ‘Algebra is, properly speaking, the analysis of equations.’ (This is no longer an accurate statement – although the motivating factor behind the theory of groups was the investigation of the solutions of polynomial equations.) Accordingly, linear algebra should (amongst other things) involve the study of linear equations – that is, equations involving the ‘unknowns’ (or ‘indeterminates’ or ‘variables’) x, y, z,… from which terms such as √x, xy, xy³z², e^x, sin x, 1/x, log x, etc. which are not of degree 1 in the variables, are excluded. The prefix ‘linear’ derives from the fact that such equations can, at least in the case of two and three unknowns, be represented geometrically by straight lines and planes in 2- and 3-dimensional space. In particular, linear algebra is much concerned with finding the solutions to a given system of simultaneous linear equations. We will begin by looking at some simple examples.

• Example 1

Solve

(1.1)

(1.2)

Recall that, to ‘solve’ the pair of equations (1.1) and (1.2) simultaneously, we must find all possible (pairs of) values of x and y which make both (1.1) and (1.2) true at the same time.

To obtain the full solution to Example 1 we may eliminate x, say, from equation (1.2). We can do this by taking twice equation (1.2) from three times equation (1.1) - in brief 3x(1.1)-2x(1.2) – which gives

that is,

(1.3)

Thus equations (1.1) and (1.2) are replaced by the pair

(1.1)

(1.3)

Equation (1.3) tells us at once that y = −1 and then (1.1) can be used to deduce that x = 4.

As an example (with somewhat more adventurous coefficients!) let us try the following.

Example 2

Solve

(1.4)

(1.5)

Proceeding as in Example 1, we obtain a new third equation by forming 7.8x(1.4)-6.8x(1.5).

This gives (!)

(1.4)

(1.6)

Since there are no numbers x and y satisfying (1.6) we infer that the given pair of equations can have no (simultaneous) solution.

As a final example consider the (almost identical) equations in the following.

Example 3

Solve

(1.4)

(1.7)

This time 7.8x(1.4)-6.8x(1.7) leads to

(1.4)

(1.8)

Here equation (1.8) imposes no restrictions whatsoever on x and y and so it can be ignored. Indeed the pair of equations (1.4) and (1.7) is see...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Dedication
• Series Preface
• Preface
• Chapter 1: Systems of Simultaneous Linear Equations
• Chapter 2: Matrices
• Chapter 3: The Arithmetic of Matrices
• Chapter 4: Multiplicative Inverses of Matrices
• Chapter 5: Determinants
• Chapter 6: Real Vector Spaces
• Chapter 7: Subspaces and Linear Combinations
• Chapter 8: Linear dependence and Independence
• Chapter 9: Bases and Dimension
• Chapter 10: Linear Transformations (and Matrices)
• Chapter 11: Eigenvalues and Eigenvectors
• Brief Appendix - on sets, functions and proofs
• Bibliography
• Index