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492 CHAPTER 7 SYSTEMS OF EQUATIONS AND MATRICES

Z THEOREM 2 Cramer’s Rule for Two Equations and Two Variables

Given the system

then

a 11 x a 12 y k 1

a 11 a 12

with D ` ` 0

a 21 x a 22 y k 2 a 21 a 22

x

k 1 a 12

` `

k 2 a 22

D

and

y

a 11 k 1

` `

a 21 k 2

D

The determinant D is called the coefficient determinant. If D 0, then the system has

exactly one solution, which is given by Cramer’s rule. If, on the other hand, D 0, then it

can be shown that the system is either inconsistent and has no solutions or is dependent

and has an infinite number of solutions. In that case, we would need to use other methods

to determine the exact nature of the solutions.

EXAMPLE 4 Solving a Two-Variable System with Cramer’s Rule

Solve using Cramer’s rule: 3x 5y 2

4x 3y 1

SOLUTIONS

First find the determinant of the coefficient matrix:

3 5

D ` 9 20 11

4 3`

Now replace the x column with the constants and find the determinant, then divide by 11.

Now repeat, this time replacing the y column with the constants.

y

x

2 5

`

1 3 `

11

3 2

`

4 1 ` 3 (8)

11 11

The solution to the system is x 1 .

11 , y 5 11

6 5

11 1 11

5

11

MATCHED PROBLEM 4

Solve using Cramer’s rule:

3x 2y 4

4x 3y 10

Cramer’s rule can be generalized completely for any size linear system that has the

same number of variables as equations. However, it cannot be used to solve systems where

the number of variables is not equal to the number of equations. In Theorem 3 we state without

proof Cramer’s rule for three equations in three variables.

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