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208 Linear Independence<br />

This system has solutions if and only if the matrix M = ( v 1 v 2<br />

)<br />

v 3 is singular, so<br />

we should find the determinant of M:<br />

⎛ ⎞<br />

0 2 1 ( )<br />

det M = det ⎝0 2 4⎠ 2 1<br />

= 2 det = 12.<br />

2 4<br />

2 1 3<br />

Since the matrix M has non-zero determinant, the only solution to the system of<br />

equations<br />

⎛<br />

( )<br />

c 1 ⎞<br />

v1 v 2 v 3<br />

⎝c 2 ⎠ = 0<br />

c 3<br />

is c 1 = c 2 = c 3 = 0. So the vectors v 1 , v 2 , v 3 are <strong>linear</strong>ly independent.<br />

Here is another example with bits:<br />

Example 119 Let Z 3 2 be the space of 3 × 1 bit-valued matrices (i.e., column vectors).<br />

Is the following subset <strong>linear</strong>ly independent?<br />

⎧⎛<br />

⎞ ⎛ ⎞ ⎛ ⎞⎫<br />

⎨ 1 1 0 ⎬<br />

⎝1⎠ , ⎝0⎠ , ⎝1⎠<br />

⎩<br />

⎭<br />

0 1 1<br />

If the set is <strong>linear</strong>ly dependent, then we can find non-zero solutions to the system:<br />

⎛ ⎞ ⎛ ⎞ ⎛ ⎞<br />

1 1 0<br />

c 1 ⎝1⎠ + c 2 ⎝0⎠ + c 3 ⎝1⎠ = 0,<br />

0 1 1<br />

which becomes the <strong>linear</strong> system<br />

⎛ ⎞ ⎛<br />

1 1 0 c 1 ⎞<br />

⎝1 0 1⎠<br />

⎝c 2 ⎠ = 0.<br />

0 1 1 c 3<br />

Solutions exist if and only if the determinant of the matrix is non-zero. But:<br />

⎛ ⎞<br />

1 1 0 ( ) ( )<br />

det ⎝1 0 1⎠ 0 1 1 1<br />

= 1 det − 1 det = −1 − 1 = 1 + 1 = 0<br />

1 1 0 1<br />

0 1 1<br />

Therefore non-trivial solutions exist, and the set is not <strong>linear</strong>ly independent.<br />

Reading homework: problem 2<br />

208

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