20

Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

Embed Size (px)

Citation preview

Page 1: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4
Page 2: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

11 12 13 14

21 22 23 24

31 32 33 34

mn mn mn mn

a a a a

a a a a

a a a a

a a a a

Row 1

Row 2

Row 3

Row m

Column 1 Column 2 Column 3 Column 4

Page 3: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

A matrix of m rows and n columns is called a matrix with dimensions m x n.

2 3 41.) 1

12

3 8 9

2.) 2 5

6 7 8

103.)

7

4.) 3 4

2 X 33 X 3

2 X 11 X 2

Page 4: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

3 5

11.) 4

40

3 02.)

0 3

1 2 3

3.) 0 1 8

0 0 1

4.) 2

55.)

6.) 3

3 X 2 2 X 2 3 X 3

1 X 2 2 X 1 1 X 1

Page 5: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4
Page 6: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

To add matrices, we add the corresponding elements. They must have the same dimensions.

5 0 6 3

4 1 2 3A B

A + B5 6 0 3

4 2 1 3

1 3

6 4

Page 7: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

2 1 3 0 0 02.)

1 0 1 0 0 0

2 1 3

1 0 1

When a zero matrix is added to another matrix of the same dimension, that same matrix is obtained.

Page 8: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

To subtract matrices, we subtract the corresponding elements. The matrices must have the same dimensions.

1 2 1 1

3.) 2 0 1 3

3 1 2 3

1 1 2 ( 1)

2 1 0 3

3 2 1 3

0 3

3 3

5 4

Page 9: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

4 1 6 51.)

6 3 7 3

1 3 2 2 1 52.)

4 0 5 6 4 3

2 6

13 0

1 4 7

2 4 8

Page 10: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

ADDITIVE INVERSE OF A MATRIX:

1 0 2

3 1 5A

1 0 2

3 1 5A

Page 11: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

Find the additive inverse:

2 1 5

6 4 3

2 1 5

6 4 3

Page 12: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

Scalar Multiplication:

1 2 3

1 2 3

4 5 6

k

We multiply each # inside our matrix by k.

1 2 3

1 2 3

4 5 6

k k k

k k k

k k k

Page 13: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

3 01.) 3

4 5

9 0

12 15

2

1 2

2.) 5 4 1

0 5

x

y

x

2

5 10 5

20 5 5

0 25 5

x

y

x

Page 14: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4
Page 15: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

812

026

2

14

58

132

y

x

812

026

528

11432

y

x

Page 16: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

812

026

56

0432

y

x

812

026

21012

086

y

xScalar Multiplication:

Page 17: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

6x+8=26

6x=18

x=3

10-2y=8

-2y=-2

y=1

Page 18: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4

• Associative Property of Addition(A+B)+C = A+(B+C)

• Commutative Property of AdditionA+B = B+A

• Distributive Property of Addition and Subtraction S(A+B) = SA+SB

S(A-B) = SA-SB• NOTE: Multiplication is not included!!!

Page 19: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4
Page 20: Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4