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8.1 Matrices and Systems of Equations. Let’s do another one: we’ll keep this one Now we’ll use the 2 equations we have with y and z to eliminate the y’s.

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Presentation on theme: "8.1 Matrices and Systems of Equations. Let’s do another one: we’ll keep this one Now we’ll use the 2 equations we have with y and z to eliminate the y’s."— Presentation transcript:

1 8.1 Matrices and Systems of Equations

2 Let’s do another one: we’ll keep this one Now we’ll use the 2 equations we have with y and z to eliminate the y’s.

3 multiply the first equation by 8 and add the equations to eliminate y.

4 Matrix: rectangular organization of real numbers in rows and columns Entry a ij is a real number in a certain “i” row and “j” column Column 1C 2C 3C n Row 1 Row 2 Row 3 Row m

5 Dimension, or ORDER, of a matrix Dimension or order is given by m x n m = number of rows n = number of columns

6 Square Matrix In a square matrix: m = n; rows = columns Note: To solve a system of equations, you will need square coefficient matrices

7 Coefficient Matrix A matrix whose real entries are the coefficients from a system of equations

8 Solution Matrix A column matrix whose entries are the solutions of the system of equations

9 Augmented matrix- A matrix set up where the coefficient matrix and solution matrix of a system of equations is combined Notation: Matrix square brackets with a bar separating the coefficients

10 Augmented Matrix cont.’d

11 Elementary Row Operations- Manipulating to Solve Matrices/ Systems 1.) Interchange two rows 2.) Multiply a row by a NONZERO multiple 3.) Add a multiplied row to another row

12

13 Row- Echelon Form (ref) Page 548: 1.) If there is a row of all zeros, it is the last row 2.) The first nonzero entry of a nonzero row is 1 3.) The 1’s occur at a diagonal Reduced Row-echelon Form (rref) If every column that has a leading 1 has zeros above and below the 1.

14 Page 548

15 Gaussian Elimination 1.) Write the augmented matrix of a system of equations 2.) Use elementary row operations to rewrite the augmented matrix in ref form 3.) Rewrite the matrix as a system of equations and back-substitute in to solve for each variable

16 Example 1: Solve Row 2: Added R 1 + R 2 1-4 3 5 -1 3 -1 -3 0 -1 2 2 Row 3: Added -2(R 1 ) + R 3 -2 8 -6 -10 2 0 -4 6 0 8 -10 -4

17 Row 3: Added 8(R 2 ) + R 3 0 -8 16 16 0 8 -10 -4 0 0 6 12 Row 3: 1/6(R 3 ) Row 2: -1(R 2 ) 0(-1) (-1)(-1) 2(-1) 2(-1)

18 No put back into a system of equations and back substitute

19 8.1 Pg. 554 #3-11(ODD); 13; 16; 19; 31-34; 58-62


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