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58 Chapter 1. <strong>Linear</strong> Systems<br />

2.8 Example We can decide if matrices are interreducible by seeing if Gauss-<br />

Jordan reduction produces the same reduced echelon form result. Thus, these<br />

are not row equivalent � 1 −3<br />

−2 6<br />

� � 1 −3<br />

−2 5<br />

because their reduced echelon forms are not equal.<br />

�<br />

1<br />

�<br />

−3<br />

�<br />

1<br />

�<br />

0<br />

0 0 0 1<br />

2.9 Example Any nonsingular 3×3 matrix Gauss-Jordan reduces to this.<br />

⎛<br />

1<br />

⎝0 0<br />

1<br />

⎞<br />

0<br />

0⎠<br />

0 0 1<br />

2.10 Example We can describe the classes by listing all possible reduced echelon<br />

form matrices. Any 2×2 matrix lies in one of these: the class of matrices<br />

row equivalent to this,<br />

� �<br />

0 0<br />

0 0<br />

the infinitely many classes of matrices row equivalent to one of this type<br />

� �<br />

1 a<br />

0 0<br />

where a ∈ R (including a = 0), the class of matrices row equivalent to this,<br />

� �<br />

0 1<br />

0 0<br />

and the class of matrices row equivalent to this<br />

� �<br />

1 0<br />

0 1<br />

(this the class of nonsingular 2×2 matrices).<br />

Exercises<br />

� 2.11 Decide if the matrices are row equivalent.<br />

� � � � � � �<br />

1 0 2 1<br />

1 2 0 1<br />

(a) ,<br />

(b) 3 −1 1 , 0<br />

4 8 1 2<br />

5 −1 5 2<br />

� �<br />

2 1 −1 � � �<br />

1 0 2<br />

1 1<br />

(c) 1 1 0 ,<br />

(d)<br />

0 2 10<br />

−1 2<br />

4 3 −1<br />

� � � �<br />

1 1 1 0 1 2<br />

(e)<br />

,<br />

0 0 3 1 −1 1<br />

�<br />

0 2<br />

2 10<br />

0 4<br />

� �<br />

1 0<br />

,<br />

2 2<br />

3<br />

2<br />

�<br />

−1<br />

5<br />

2.12 Describe the matrices in each of the classes represented in Example 2.10.<br />

2.13 Describe all matrices in the row equivalence class of these.<br />

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