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Fundamentals of Matrix Algebra, 2011a

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Chapter 2<br />

<strong>Matrix</strong> Arithmec<br />

.<br />

Ḋefinion 16<br />

Vector Length<br />

Let<br />

⃗x =<br />

.<br />

[<br />

x1<br />

]<br />

.<br />

x 2<br />

The length <strong>of</strong> ⃗x, denoted ||⃗x||, is<br />

√<br />

||⃗x|| = x 2 1 + x2 2 .<br />

. Example 38 Find the length <strong>of</strong> each <strong>of</strong> the vectors given below.<br />

[ ] [ ] [ ] [ ]<br />

1 2<br />

.6 3<br />

⃗x 1 = ⃗x<br />

1 2 = ⃗x<br />

−3 3 = ⃗x<br />

.8 4 =<br />

0<br />

S<br />

We apply Definion 16 to each vector.<br />

.<br />

√<br />

||⃗x 1 || = 1 2 + 1 2 = √ 2.<br />

√<br />

||⃗x 2 || = 2 2 + (−3) 2 = √ 13.<br />

√<br />

||⃗x 3 || = .6 2 + .8 2 = √ .36 + .64 = 1.<br />

√<br />

||⃗x 4 || = 3 2 + 0 = 3.<br />

Now that we know how to compute the length <strong>of</strong> a vector, let’s revisit a statement<br />

we made as we explored Examples 34 and 35: “Mulplying a vector by a posive scalar<br />

c stretches the vectors by a factor <strong>of</strong> c . . .” At that me, we did not know how to measure<br />

the length <strong>of</strong> a vector, so our statement was unfounded. In the following example,<br />

we will confirm the truth <strong>of</strong> our previous statement.<br />

[ ]<br />

. 2<br />

Example 39 .Let ⃗x = . Compute ||⃗x||, ||3⃗x||, || − 2⃗x||, and ||c⃗x||, where c<br />

−1<br />

is a scalar.<br />

S<br />

We apply Definion 16 to each <strong>of</strong> the vectors.<br />

||⃗x|| = √ 4 + 1 = √ 5.<br />

Before compung the length <strong>of</strong> ||3⃗x||, we note that 3⃗x =<br />

||3⃗x|| = √ 36 + 9 = √ 45 = 3 √ 5 = 3||⃗x||.<br />

[<br />

6<br />

−3<br />

]<br />

.<br />

74

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