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2.2 Review Problems 49<br />

2. Solve the following <strong>linear</strong> system:<br />

⎛<br />

⎞<br />

1 1 0 1 0 1 0 1<br />

0 0 1 2 0 2 0 −1<br />

⎜0 0 0 0 1 3 0 1<br />

⎟<br />

⎝0 0 0 0 0 2 0 −2⎠ .<br />

0 0 0 0 0 0 1 1<br />

2x 1 + 5x 2 − 8x 3 + 2x 4 + 2x 5 = 0<br />

6x 1 + 2x 2 −10x 3 + 6x 4 + 8x 5 = 6<br />

3x 1 + 6x 2 + 2x 3 + 3x 4 + 5x 5 = 6<br />

3x 1 + 1x 2 − 5x 3 + 3x 4 + 4x 5 = 3<br />

6x 1 + 7x 2 − 3x 3 + 6x 4 + 9x 5 = 9<br />

Be sure to set your work out carefully with equivalence signs ∼ between<br />

each step, labeled by the row operations you performed.<br />

3. Check that the following two matrices are row-equivalent:<br />

( ) ( )<br />

1 4 7 10 0 −1 8 20<br />

and<br />

.<br />

2 9 6 0 4 18 12 0<br />

Now remove the third column from each matrix, and show that the<br />

resulting two matrices (shown below) are row-equivalent:<br />

( ) ( )<br />

1 4 10 0 −1 20<br />

and<br />

.<br />

2 9 0 4 18 0<br />

Now remove the fourth column from each of the original two matrices,<br />

and show that the resulting two matrices, viewed as augmented<br />

matrices (shown below) are row-equivalent:<br />

( 1 4 7<br />

2 9 6<br />

)<br />

and<br />

( 0 −1 8<br />

4 18 12<br />

)<br />

.<br />

Explain why row-equivalence is never affected by removing columns.<br />

4. Check that the system of equations corresponding to the augmented<br />

matrix<br />

⎛<br />

1 4<br />

⎞<br />

10<br />

⎝3 13 9⎠<br />

4 17 20<br />

49

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