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Linear Algebra, 2020a

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54 Chapter One. <strong>Linear</strong> Systems<br />

One of the classes is the cluster of interrelated matrices from the start of this<br />

section sketched above (it includes all of the nonsingular 2×2 matrices).<br />

The next subsection proves that the reduced echelon form of a matrix is<br />

unique. Rephrased in terms of the row-equivalence relationship, we shall prove<br />

that every matrix is row equivalent to one and only one reduced echelon form<br />

matrix. In terms of the partition what we shall prove is: every equivalence class<br />

contains one and only one reduced echelon form matrix. So each reduced echelon<br />

form matrix serves as a representative of its class.<br />

Exercises<br />

̌ 1.8 Use Gauss-Jordan reduction to solve each system.<br />

(a) x + y = 2 (b) x − z = 4 (c) 3x − 2y = 1<br />

x − y = 0 2x + 2y = 1 6x + y = 1/2<br />

(d) 2x − y =−1<br />

x + 3y − z = 5<br />

y + 2z = 5<br />

1.9 Do Gauss-Jordan reduction.<br />

(a) x + y − z = 3<br />

2x − y − z = 1<br />

3x + y + 2z = 0<br />

(b) x + y + 2z = 0<br />

2x − y + z = 1<br />

4x + y + 5z = 1<br />

̌ 1.10 Find the reduced ⎛echelon form of⎞<br />

each matrix. ⎛<br />

⎞<br />

( ) 1 3 1<br />

1 0 3 1 2<br />

2 1<br />

(a)<br />

(b) ⎝ 2 0 4 ⎠ (c) ⎝1 4 2 1 5⎠<br />

1 3<br />

−1 −3 −3<br />

3 4 8 1 2<br />

⎛<br />

⎞<br />

0 1 3 2<br />

(d) ⎝0 0 5 6⎠<br />

1 5 1 5<br />

1.11 Get ⎛the reduced⎞<br />

echelon form ⎛ of each. ⎞<br />

0 2 1<br />

1 3 1<br />

(a)<br />

⎝<br />

2 −1 1<br />

−2 −1 0<br />

⎠<br />

(b)<br />

⎝<br />

2 6 2<br />

−1 0 0<br />

̌ 1.12 Find each solution set by using Gauss-Jordan reduction and then reading off<br />

the parametrization.<br />

(a) 2x + y − z = 1<br />

4x − y = 3<br />

(b) x − z = 1<br />

y + 2z − w = 3<br />

x + 2y + 3z − w = 7<br />

(c) x − y + z = 0<br />

y + w = 0<br />

3x − 2y + 3z + w = 0<br />

−y − w = 0<br />

(d) a + 2b + 3c + d − e = 1<br />

3a − b + c + d + e = 3<br />

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