Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics. The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.
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1.1. Examples. By a linear equation in x1, x2,…, xn† is meant an equation of the form
where a1, a2,…, an, y are (for the moment, at least) fixed real numbers. A solution of (1) is any set of n real numbers
such that
This chapter is devoted to the discussion of an elimination method for determining all simultaneous solutions of one or more linear equations in several unknowns. We begin with an examination of several simple examples which can be studied geometrically and which offer suggestions for handling the general case.
EXAMPLE 1.1
Find all solutions of the single equation
We observe that this equation is equivalent to the equation
in the sense that a solution of one is a solution of the other, so that we can study (3) in place of (2). In (3) it is clear that x1 may be chosen arbitrarily and that for each choice of x1, x2 is uniquely determined. If we let t stand for any real number, our solution may be put in the form
which shows that we have an endless number of solutions. If we interpret
as the rectangular coordinates of a point in the plane, the above solutions of (2) are the points of a straight line l1, called the graph of the equation.
EXAMPLE 1.2
Find all solutions of the system of linear equations
Since the second equation is a nonzero multiple of the first, the system is equivalent to that consisting of the first equation alone. Hence the solutions of (4) are precisely those of (2). Interpreted geometrically, the graphs of the two equations of (4) coincide so that the graph of the first equation gives the solutions of the system.
EXAMPLE 1.3
Find all solutions of the system of equations
Since, for any solution
of the first equation,
, while, for any solution
of the second,
or
, no solution of one is a solution of the other. Consequently, the system has no simultaneous solutions and because of this fact is called inconsistent. The graphs of the equations are parallel and distinct straight lines.
EXAMPLE 1.4
Find all solutions of the system of equations
The first equation has the graph l1 mentioned above, and the second has a straight-line graph l2. Since these two lines have a single point P
in common, the system has a single solution
It cannot be emphasized too strongly that this solution is again a pair of simultaneous equations in x1 and x2; it is only because of its simplicity that we label this system the solution. Actually this pair of equations is one of infinitely many pairs which are equivalent to the original pair. Interpreted geometrically, the equations of any pair of distinct straigh...
Table of contents
Cover Page
Title Page
Copyright Page
Dedication
Preface
Contents
Some Notation and Conventions Used in this Book
Chapter 1: SYSTEMS OF LINEAR EQUATIONS
Chapter 2: VECTOR SPACES
Chapter 3: BASIC OPERATIONS FOR MATRICES
Chapter 4: DETERMINANTS
Chapter 5: BILINEAR AND QUADRATIC FUNCTIONS AND FORMS
Chapter 6: LINEAR TRANSFORMATIONS ON A VECTOR SPACE
Chapter 7: CANONICAL REPRESENTATIONS OF A LINEAR TRANSFORMATION