1. Systems of Equations
Matrix Methods

2. Introductions What is a matrix?
A matrix is an organization of data into rows and columns
The size of a matrix is always listed
Rows x Columns

3. Place the following data into a matrix
2x + 3y = 6
-4x – 3y = 7
There are two ways to put this into matrix form.
We could use two matrices or put the information into one augmented matrix.

4. Augmented Matrix
A matrix which is used to represent systems of linear equations where a line is used to represent the location of the = sign. Coefficients are placed into the rows and columns of the matrix (coefficients from like variables must be in the same column).

5. Solving systems of equations using matrices
Two methods:
If write system into two matrix.
Solve by taking A-1B.
If write system into one matrix. rref A
rref is reduced echelon form – this form puts 1’s into the main diagonals and zeros in all other numerical positions

6. Examples of rref Look at page 556 – top of page
Look at page 557 – bottom of page
What happens if an entire row cancels out
Look at page 558 – middle of page
Solve: 2x + 3y – 6 = 0
4x – 6y + 2 =0

7. Solve
x – y + z = 10
3x + 3y = 5
x + y + 2z = 2

8. Adding and Subtracting Matrices Scalars
Scalar is a constant which is multiplied times a matrix
To multiply by a scalar – multiply every term times the constant
To Add/Subtract Matrices
Dimensions must be equal
Add/subtract terms in same position
Example: Page 589 #11

9. Systems of Inequalities
Have to graph to solve
Graph each inequality on a coordinate plane: Shade to appropriate area
Solution is where the shaded areas overlap

10. Solve
2x – y < 4
3x + 2y > -6
Y > x + 2
Y < -x2 + 4

11. Applications: Linear Programming
A small farm in Illinois has 100 acres of land availiable on which to grow corn and soybeans. The following table shwos the cultivation cost per acre, the labor cost per acre, and the expected profit per acre. The column on the right shows the amount of money available for each of these expenses. Find the number of acres of each crop that should be planted to maximize profit.

12. Table Soybeans Corn Money Cultivation $40 $60 $1800
Labor $ $ $2400
Profit $ $250
Recall that only 100 acres of land are available

13. Application 2
A meat market combines ground beef and ground port in a single package meat loaf. The ground beef is 75% lean and costs $.75 per pound. The ground pork is 60% lean and costs the market $.45 per pound. The meat loaf must be at least 70% lean. If the market wants to use at least 50 lb of its available pork, but no more than 200 lb of its beef, how much ground beef should be mixed with ground pork so the cost is minimized?

14. Application 3
An entrepreneur is having a design group produce at least six samples of a new kind of fastener that he wants to market. It costs $9.00 to produce each metal fastener and $4.00 to produce each plastic fastener. He wants to have at least two of each version of the fastener and needs to have all the samples 24 hours from now. It takes 4 hours to produce each metal sample and 2 hours to produce each plastic sample. To minimize the cost of the samples, how many of each kind should the entrepreneur order? What will be the cost?

15. Assignment Pg 472 #1-23 every 4th Pg 479 Pg 590 Pg 614 Pg 623
#1-11 odd
Pg 590
#39-57 odd, 69, 71, 73
Pg 614
#23-39 every 4th, 43, 47, 51, 55
Pg 623
#21, 25, 29

16. Next Wednesday
Assignment notebook due
Chapter 5 and Matrix Test
Final
Many of the problems on final you have seen before. Study your old tests and look over your assignments.

17. Multiplying Matrices
To multiply matrices the inner dimensions must be equal
Ex: 2 x 3 times 3 x 4
Product will have the outer dimensions
2 x 4

18. Multiplying by Hand
Must multiply and entire row times an entire column to get one term
Go across first matrix and down second
Ex: Page 589 #15

19. Much easier to multiply on calculator
Always check dimensions – if dimensions do not work you can save yourself a lot of time.
Ex: Page 589 #14

20. Discriminant Single value representing a matrix 2 x 2 determinant
Diagonal product down – diagonal product up
3 X 3 determinant
Minor method
Examples: Page 573: # 6, 13, 44, 53

21. Linear Programming Process Graph inequalities
Identify vertices (may have to use matrices to find intersection points)
Place vertices into objective function
Identify maximum / minimum
Examples: Page 622 #11, 13, 23, 27

22. Assignment
Page 544: #1,3,5,15,19,27,29,37,41,53,57,59,63,67,
71,75
Page 561:
#1,9,13,29,33,45,49,55,63,75,79,81
Page 573:
#5,13,47,51 Page 589: #7,17,27,59
Page 622: 9,17,21,29