section 7.1 matrices and systems of linear equations

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Section 7.1 Matrices and Systems of Linear Equations

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Page 1: Section 7.1 Matrices and Systems of Linear Equations

Section 7.1

Matrices and Systems of Linear Equations

Page 2: Section 7.1 Matrices and Systems of Linear Equations

Matrices

A matrix is a rectangular array of numbers written within brackets

Open books to page 562

Page 3: Section 7.1 Matrices and Systems of Linear Equations

Order of a Matrix

Order of a Matrix: Row x Column

3 rows, 2 columns 3 x 2

6448

4324

3233

81102

4 rows, 4 columns 4 x 4

652 1 row, 3 columns 1 x 3

89

34

62

Page 4: Section 7.1 Matrices and Systems of Linear Equations

Augmented Matrices

Matrices can be used as shorthand for systems of equations. When done so, they are called augmented matrices.

72

143

yx

yx

7

1

21

43

Each row is an equation

Vertical line represents the equal sign

First column is coefficients on the x

Second column is coefficients on the y

Constants to the right of the vertical line

Any variable not in the equation has an implied coefficient of 0

Page 5: Section 7.1 Matrices and Systems of Linear Equations

Write the system as an augmented matrix

0342

723

zx

zyx

3

7

402

231

1

2

7

yz

zyx

zxy

1

2

7

110

111

111

Page 6: Section 7.1 Matrices and Systems of Linear Equations

Row Operations (Solving Systems)

Interchange any 2 rows

Multiply a row by a nonzero constant

Add a multiple of 1 row to another

ji RR

ii RcR

jji RRcR

Page 7: Section 7.1 Matrices and Systems of Linear Equations

Perform the row operation

1

3

20

1221 RR

3

1

12

20

Page 8: Section 7.1 Matrices and Systems of Linear Equations

Perform the row operation

4

1

2

516

423

175222 RR

4

2

516

175

Page 9: Section 7.1 Matrices and Systems of Linear Equations

Perform the row operation

2

3

3

124

210

201131 2 RRR

2

3

124

210

Page 10: Section 7.1 Matrices and Systems of Linear Equations

Perform the row operation

1

3

2

310

213

101

121 3 RRR

1

3

310

213

Page 11: Section 7.1 Matrices and Systems of Linear Equations

Row-Echelon Form of a Matrix

Rows consisting entirely of 0’s are at the bottom of the matrix

For each row that does not consist entirely of 0’s, the first (leftmost) nonzero entry is 1 (called the leading 1)

The leading 1 in each row must have all zeros underneath it.

0000

5100

1210

6531

Page 12: Section 7.1 Matrices and Systems of Linear Equations

Determine whether the matrices are in Row-Echelon Form

7

6

5

100

410

221

7

1

5

401

510

621

0

3

5

000

1510

26121

7

2

10

100

640

871

Yes No

Yes No

Page 13: Section 7.1 Matrices and Systems of Linear Equations

Rewrite the Matrix in Row Echelon Form

3

2

11

23

21 RR

2

3

23

11

11

3

10

11

221 RR

11

3

10

11

2213 RRR

Page 14: Section 7.1 Matrices and Systems of Linear Equations

Solve the system using Gaussian Elimination

63

82

yx

yx

6

8

31

12Step 1: Write as an augmented matrix

8

6

12

31

Step 2: Use row operations to write in row-echelon form.

21 RR

Need a 0 below the leading 1 in row 1

20

6

50

31

2212 RRR

Page 15: Section 7.1 Matrices and Systems of Linear Equations

20

6

50

31

…continued

Need a leading 1 in row 2 (turn the -5 into a 1)

225

1RR

4

6

10

31

Step 3: Write the augmented matrix as a system of equations.

4

63

y

yx

Step 4: Back substitute to find all other variables.

643 x

612 x6x

6x 4y

Page 16: Section 7.1 Matrices and Systems of Linear Equations

Solve the system

3322

43

2

zyx

zyx

zyx

3

4

2

322

113

111

7

2

2

540

220

111

2213 RRR

and

3312 RRR

Page 17: Section 7.1 Matrices and Systems of Linear Equations

7

2

2

540

220

111

7

1

2

540

110

111222

1RR

3

1

2

100

110

1113324 RRR

3

1

2

z

zy

zyx

13 y2y

232 x21 x1x

1x 2y 3z

Page 18: Section 7.1 Matrices and Systems of Linear Equations

Infinitely Many and No Solutions

0

4

2

000

610

321 Row 3 equation would say:

0x + 0y + 0z = 0

0 = 0

Infinitely Many Solutions on a line

4

4

2

000

610

321 Row 3 equation would say:

0x + 0y + 0z = 4

0 = 4

No Solutions