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Fundamentals of Matrix Algebra, 2011a

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2R 2 + R 3 → R 3<br />

1.3 Elementary Row Operaons and Gaussian Eliminaon<br />

⎡<br />

1 2 1 5<br />

⎤<br />

0<br />

⎣ 0 0 1 1 2 ⎦<br />

0 0 0 0 0<br />

Our aenon now shis over one more column and down one row to the posion<br />

indicated by the box; we wish to make this a 1. Of course, there is no way to do this,<br />

so we are done with the forward steps.<br />

Our next goal is to put a 0 above each <strong>of</strong> the leading 1s (in this case there is only<br />

one leading 1 to deal with).<br />

−R 2 + R 1 → R 1<br />

This final matrix is in reduced row echelon form. .<br />

⎡<br />

⎣ 1 2 0 4 −2<br />

0 0 1 1 2<br />

0 0 0 0 0<br />

⎤<br />

⎦<br />

. Example 6 Put the matrix<br />

⎡<br />

⎣ 1 2 1 3 ⎤<br />

2 1 1 1 ⎦<br />

3 3 2 1<br />

into reduced row echelon form.<br />

.<br />

S<br />

Here we will show all steps without explaining each one.<br />

⎡<br />

−2R 1 + R 2 → R 2<br />

⎣ 1 2 1 3 ⎤<br />

0 −3 −1 −5 ⎦<br />

−3R 1 + R 3 → R 3<br />

0 −3 −1 −8<br />

⎡<br />

⎤<br />

1 2 1 3<br />

− 1 R2 → R2<br />

⎣<br />

3<br />

0 1 1/3 5/3 ⎦<br />

0 −3 −1 −8<br />

⎡<br />

3R 2 + R 3 → R 3<br />

⎣ 1 2 1 3 ⎤<br />

0 1 1/3 5/3 ⎦<br />

0 0 0 −3<br />

⎡<br />

− 1 R 3 3 → R 3<br />

⎣ 1 2 1 3 ⎤<br />

0 1 1/3 5/3 ⎦<br />

0 0 0 1<br />

⎡<br />

−3R 3 + R 1 → R 1<br />

⎣ 1 2 1 0 ⎤<br />

− 5 R3 + R2 →<br />

0 1 1/3 0 ⎦<br />

R2<br />

3<br />

0 0 0 1<br />

⎡<br />

−2R 2 + R 1 → R 1<br />

⎣ 1 0 1/3 0 ⎤<br />

0 1 1/3 0 ⎦<br />

0 0 0 1<br />

19

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