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course syllabus assignments materials request a test proctor form |
Gaussian Elimination − alternativeLet us apply the Gaussian Elimination Rules without trying to avoid fractions. The original augmented matrix is: ![]() To make the first element a 1, we will multiply Row 1 by 1/2 (apply Rule #2)   (1/2)·R1 ⇔ R1: ![]() Now that we have a 1 in the first row of the first column, we will use this row and use Rule #3 to change the other values in the first column to 0's. If we multiple row 1 by −1 and add it to row 2, then the left-most value of 1 in row 2 will become a 0. Multiply Row 1 by −1 and add it to Row 2 (apply Rule #3) −1·R1 + R2 → R2:
![]() Multiply Row 1 by −3 and add it to Row 3 (apply Rule #3) −3·R1 + R3 → R3:
![]() Column 1 is finished. We turn our attention to the second column and first focus on the second element which we want to become a 1. Multiply Row 2 by 2/7 (apply Rule #2) (2/7)·R2 → R2: ![]() Now we want 0's in the rest of the column. Multiply Row 2 by 3/2 and add it to Row 1 (apply Rule #3) (3/2)·R2 + R1 → R1:
![]() Multiply Row 2 by −11/2 and add it to Row 3 (apply Rule #3) (−11/2)·R2 + R3 → R3:
![]() Now we have the first two columns finished and turn our attention to the third column and the third element in order to turn it into a 1. Multiply Row 3 by 30/7 (apply Rule #2) (30/7)·R3 → R3: ![]() Multiply Row 3 by 5/7 and add it to Row 1 (apply Rule #3) (5/7)·R3 + R1 → R1:
![]() Multiply Row 3 by −6/7 and add it to Row 2 (apply Rule #3) (−6/7)·R3 + R2 → R1:
![]() And, we have a solution—the same solution that we found before! Please note, for this process, we have not used Rule #1, exchange two rows. While there are times it is necessary to use Rule #1, judicious use of this rule at other times can help with the "arithmetic." |
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© 1999, 2000, 2001, 2002, 2003 by Lawrence Turner |
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