06.09.2021 Views

College Trigonometry, 2011a

College Trigonometry, 2011a

College Trigonometry, 2011a

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

1020 Applications of <strong>Trigonometry</strong><br />

Plotting a vector in standard position enables us to more easily quantify the concepts of magnitude<br />

and direction of the vector. We can convert the point (v 1 ,v 2 ) in rectangular coordinates to a pair<br />

(r, θ) in polar coordinates where r ≥ 0. The magnitude of ⃗v, which we said earlier was length<br />

of the directed line segment, is r = √ v 2 1<br />

+ v 2 2<br />

and is denoted by ‖⃗v‖. From Section 11.4, we<br />

know v 1 = r cos(θ) =‖⃗v‖ cos(θ) andv 2 = r sin(θ) =‖⃗v‖ sin(θ). From the definition of scalar<br />

multiplication and vector equality, we get<br />

⃗v = 〈v 1 ,v 2 〉<br />

= 〈‖⃗v‖ cos(θ), ‖⃗v‖ sin(θ)〉<br />

= ‖⃗v‖〈cos(θ), sin(θ)〉<br />

This motivates the following definition.<br />

Definition 11.8. Suppose ⃗v is a vector with component form ⃗v = 〈v 1 ,v 2 〉.Let(r, θ) beapolar<br />

representation of the point with rectangular coordinates (v 1 ,v 2 )withr ≥ 0.<br />

ˆ The magnitude of ⃗v, denoted ‖⃗v‖, isgivenby‖⃗v‖ = r = √ v 2 1<br />

+ v 2 2<br />

ˆ If ⃗v ≠ ⃗0, the (vector) direction of ⃗v, denoted ˆv is given by ˆv = 〈cos(θ), sin(θ)〉<br />

Taken together, we get ⃗v = 〈‖⃗v‖ cos(θ), ‖⃗v‖ sin(θ)〉.<br />

A few remarks are in order. First, we note that if ⃗v ≠ 0 then even though there are infinitely<br />

many angles θ which satisfy Definition 11.8, the stipulation r>0 means that all of the angles are<br />

coterminal. Hence, if θ and θ ′ both satisfy the conditions of Definition 11.8, then cos(θ) = cos(θ ′ )<br />

and sin(θ) =sin(θ ′ ), and as such, 〈cos(θ), sin(θ)〉 = 〈cos(θ ′ ), sin(θ ′ )〉 making ˆv is well-defined. 10 If<br />

⃗v = ⃗0, then ⃗v = 〈0, 0〉, and we know from Section 11.4 that (0,θ) is a polar representation for<br />

the origin for any angle θ. For this reason, ˆ0 is undefined. The following theorem summarizes the<br />

important facts about the magnitude and direction of a vector.<br />

Theorem 11.20. Properties of Magnitude and Direction: Suppose ⃗v is a vector.<br />

ˆ ‖⃗v‖ ≥0and‖⃗v‖ = 0 if and only if ⃗v = ⃗0<br />

ˆ For all scalars k, ‖k⃗v‖ = |k|‖⃗v‖.<br />

( )<br />

ˆ If ⃗v ≠ ⃗0 then⃗v = ‖⃗v‖ˆv, sothatˆv = 1<br />

‖⃗v‖<br />

⃗v.<br />

The proof of the first property in Theorem 11.20 is a direct consequence of the definition of ‖⃗v‖.<br />

If ⃗v = 〈v 1 ,v 2 〉,then‖⃗v‖ = √ √ v 2 1<br />

+ v 2 2<br />

which is by definition greater than or equal to 0. Moreover,<br />

v 2 1<br />

+ v 2 2<br />

= 0 if and only of v 2 1<br />

+ v 2 2<br />

= 0 if and only if v 1 = v 2 = 0. Hence, ‖⃗v‖ = 0 if and only if<br />

⃗v = 〈0, 0〉 = ⃗0, as required.<br />

The second property is a result of the definition of magnitude and scalar multiplication along with<br />

a propery of radicals. If ⃗v = 〈v 1 ,v 2 〉 and k is a scalar then<br />

10 If this all looks familiar, it should. The interested reader is invited to compare Definition 11.8 to Definition 11.2<br />

in Section 11.7.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!