8.1 Matrix Solutions to Linear Systems Veronica Fangzhu Xing 3 rd period.

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8.1 Matrix Solutions to Linear Systems Veronica Fangzhu Xing 3 rd period

Solving Linear System Using Matrices An augmented matrix has a vertical bar separating the columns of the matrix into two groups The coefficients of each variable the left of the vertical line The constants right ( if any variable is missing, its coefficient is 0) x +2y -5z =-19 y +3z =9 z =4

Matrix Row Operations

Solving linear System Using Gaussian Elimination Write the augmented matrix for the system. Write the system of linear equations corresponding to the matrix in step 2 and use back-substitution to find the system’s solution.

Example 3 : Use matrices to solve the system: 3x+y+2z=31 x+y+2z=19 x+3y+2z=25 Step 1 : Write the augmented matrix for the system.

Step 2 : Use matrix row operations to simplify the matrix to row-echelon form, with 1s down the diagonal from upper left to lower right, and 0s below the 1s.

Step 3 : Write the system of linear equation corresponding to the matrix in step 2 and use back-substitution to find the system’s solution.

Solving linear system Using Gauss Jordan Elimination 1. Write the augmented matrix for the system. 2. Use matrix row operations to simplify the matrix to a row-equivalent matrix in reduced row-echelon form, with1sdown the main diagonal from upper left to lower right, and 0s above and below the 1 s a)Get 1 in the upper left-hand corner b)Use the 1 in the first column to get 0s below it c)Get 1 in the second row, second column. d)Use the 1 in the second column to make the remaining entries in the second column 0 e)Get 1 in the third row, third column. f)Use the 1 in the third column to make the remaining entries in the third column 0. g)Continue this procedure as far as possible. 3. Use the reduced row-echelon form of the matrix step 2 to write the system’s solution set.( back-substitution is not necessary)

Example 4 : Use Gauss-Jordan elimination to solve the system 3x+y+2z=31 x+y+2z=19 x+3y+2z=25