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An excerpt from a university textbook on linear algebra i, specifically focusing on systems of linear equations. It covers the definition of linear equations, examples, solutions, systems, graphical interpretation, observations, and remarks. It also introduces the concept of augmented matrices and elementary row operations for solving linear systems.
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MATH 322, Linear Algebra I
J. Robert Buchanan
Department of Mathematics
Spring 2007
Linear Algebra: study of vector spaces and linear operators.
Vector Space Linear Operator
n × n matrices multiplication by a fixed matrix
continuous functions on [ a , b ] integration
differentiable functions differentiation
Example
Which of the following equations are linear equations?
2 x +
y
x 1 − x 2
x 1 = x 2
x 1
x 2
x 1
Definition
A solution to a linear equation
a 1 x 1
is a set of numbers s 1 , s 2 ,... , s n such that
a 1 s 1
Example
Find a solution to the following system of linear equations.
3 x 1 − 2 x 2 = − 1
4 x 1
Note: there exists only one solution to the system above (we
say the solution is unique ). Not every linear system will have a
unique solution.
Consider the generic linear system:
a 11 x 1
a 21 x 1
The graph of each equation is a straight line.
The solution to the system (if any) will be the intersection
of the straight lines.
A system of equations with no solution is said to be
inconsistent.
A system of equations with at least one solution is said to
be consistent.
These possibilities hold for systems of equations with any
number of unknowns.
Every system of linear equations can be written in the form of
an augmented matrix.
a 11 x 1 + a 12 x 2 + · · · + a 1 nxn = b 1
a 21 x 1
a m 1 x 1
becomes
a 11 a 12 · · · a 1 n b 1
a 21 a 22 · · · a 2 n b 2
a m 1 a m 2 · · · a mn b m
Example
Using elementary row operations on the appropriate
augmented matrix, find the solution to the following system of
equations.
2 x 1
3 x 1 − x 2
6 x 1
Read Section 1.1 and work exercises 1–13 odd.