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90 Vectors in Space, n-Vectors<br />

Example 49 of the dot product of two vectors from R 100 .<br />

⎛<br />

⎜<br />

⎝<br />

1<br />

2<br />

3<br />

4<br />

.<br />

100<br />

⎞ ⎛ ⎞<br />

1<br />

1<br />

1<br />

·<br />

1<br />

⎟ ⎜ ⎟<br />

⎠ ⎝ . ⎠<br />

1<br />

= 1 + 2 + 3 + · · · + 100 = 1 .100.101 = 5050.<br />

2<br />

The sum above is the one Gauß, according to legend, could do in kindergarten.<br />

Definition The length (or norm or magnitude) of an n-vector v is<br />

‖v‖ := √ v v .<br />

Example 50 of the norm of a vector from R 101 .<br />

⎛<br />

⎜<br />

⎝<br />

∥<br />

1<br />

2<br />

3<br />

4<br />

.<br />

101<br />

⎞<br />

∑<br />

= √ 101<br />

i 2 = √ 37, 961.<br />

⎟<br />

i=1<br />

⎠<br />

∥<br />

Definition The angle θ between two vectors is determined by the formula<br />

u v = ‖u‖‖v‖ cos θ .<br />

Example 51 of an ⎛angle between ⎞ ⎛two ⎞vectors form R 101 .<br />

1 1<br />

2<br />

0<br />

3<br />

1<br />

( )<br />

The angle between<br />

4<br />

and<br />

0<br />

is arccos 10,201<br />

√ √ 37,916 51<br />

.<br />

⎜ ⎟ ⎜ ⎟<br />

⎝ . ⎠ ⎝ . ⎠<br />

101 1<br />

Definition Two vectors are orthogonal (or perpendicular) if their dot<br />

product is zero.<br />

90

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