# Vectors, Matrices and Geometry

Publication Year: 1994

Published by: Hong Kong University Press, HKU

#### Cover

#### Title Page, Copyright

#### PREFACE

With the present volume the 3-book series on elementary mathematics
is now complete. Like its two predecessors, *Fundamental Concepts
of Mathematics* and *Polynomials and Equations*, the present book
is addressed to a large readership comprising Sixth Form students,
first-year undergraduates and students of Institutes of Education.
In Chapter One vectors in the plane are simply defined as ordered ...

#### CHAPTER ONE: VECTORS AND GEOMETRY IN THE PLANE

In school geometry, points on the plane are represented by pairs
of real numbers which are called coordinates, and algebraic operations
are carried out on the individual coordinates to discover properties
of geometric configurations. For example, given two points *P*
and *Q* represented by (*a, b*) and (*c, d*) respectively, the straight line ...

#### CHAPTER TWO: VECTORS AND GEOMETRY IN SPACE

In this chapter we follow the pattern of last chapter to study
algebra of vectors in space and solid geometry side by side. Readers
will find a fairly complete treatment of the vector space **R**^{3} where
most of the important topics are discussed. In spite of the extensive
subject of geometry in space, we are only able to include some general
algebraic methods in the treatment of lines and planes and a very ...

#### CHAPTER THREE: CONIC SECTIONS

The curves known as conic sections comprise the ellipse, hyperbola and parabola. They are, after the circle, the simplest curves. This being so, it is not surprising that they have been known and studied for a long time. Their discovery is attributed to Menaechmus, a Greek geometer and astronomer of the 4th century BC. Like Hipprocrates of the 5th century BC before him, Menaechmus, in ...

#### CHAPTER FOUR: QUADRIC SURFACES

On the plane a linear equation in two variables defines a line. In space a linear equation in three variables defines a plane. A line in space is the intersection of two planes; it is therefore defined by two linear equations in three variables. A quadratic equation in two variables defines a quadratic curve on the plane. Quadratic curves on the plane are called conics because they are plane sections of a ...

#### CHAPTER FIVE: HIGHER DIMENSIONAL VECTOR SPACES

In the first two chapters, we have learnt the language and techniques
of linear algebra of vectors in R^{2} and R^{3}. Instead of moving
up one dimension from R^{3} to R^{4}, we shall study the general
n-dimensional vector space R^{n} for any positive integer *n*. However
the nature of the present course only allows us a restricted scope of
study. We shall therefore concentrate on the notions of linear independence ...

#### CHAPTER SIX: MATRIX AND DETERMINANT

Matrices are introduced in the last chapter as a systematic way
of presenting the components of *m* vectors of **R**^{n} so that we can keep
track of certain calculations being carried out on them. The chief
concern of such calculations is to evaluate the rank of a matrix and
to select linearly independent row vectors.
In this chapter matrices are treated as individual algebraic entities ...

#### CHAPTER SEVEN: LINEAR EQUATIONS

In this final chapter, we shall apply results of the last two chapters to investigate systems of linear equations in several unknowns. A necessary and sufficient condition will be given in terms of the ranks of certain matrices and a general method of solution is described. Readers will find that this method is essentially the classical successive eliminations of unknowns but given in terms of elementary row ...

E-ISBN-13: 9789882203037

Print-ISBN-13: 9789622093607

Page Count: 356

Publication Year: 1994

OCLC Number: 65352819

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