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Solução_Calculo_Stewart_6e

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F.<br />

222 ¤ CHAPTER 4 APPLICATIONS OF DIFFERENTIATION<br />

TX.10<br />

where sin x + C>0 ⇔ sin x>−C ⇔ sin −1 (−C) 0 implies that f is increasing on R, so there is exactly one zero of f, and hence, exactly one real<br />

root of the equation 3x +2cosx +5=0.<br />

47. Since f is continuous on [32, 33] and differentiable on (32, 33), then by the Mean Value Theorem there exists a number c in<br />

(32, 33) such that f 0 (c) = 1 5 c−4/5 =<br />

5√<br />

33 −<br />

5 √ 32<br />

33 − 32<br />

= 5√ 33 − 2,but 1 5 c−4/5 > 0 ⇒ 5√ 33 − 2 > 0 ⇒ 5√ 33 > 2. Also<br />

f 0 is decreasing, so that f 0 (c) f 0 (c) = 5√ 33 − 2 ⇒ 5√ 33 < 2.0125.<br />

Therefore, 2 < 5√ 33 < 2.0125.<br />

49. (a) g(x) =f(x 2 ) ⇒ g 0 (x) =2xf 0 (x 2 ) by the Chain Rule. Since f 0 (x) > 0 for all x 6= 0,wemusthavef 0 (x 2 ) > 0 for<br />

x 6= 0,sog 0 (x) =0 ⇔ x =0.Nowg 0 (x) changes sign (from negative to positive) at x =0, since one of its factors,<br />

f 0 (x 2 ), is positive for all x, and its other factor, 2x, changes from negative to positive at this point, so by the First<br />

Derivative Test, f has a local and absolute minimum at x =0.<br />

(b) g 0 (x) =2xf 0 (x 2 ) ⇒ g 00 (x) =2[xf 00 (x 2 )(2x)+f 0 (x 2 )] = 4x 2 f 00 (x 2 )+2f 0 (x 2 ) by the Product Rule and the Chain<br />

Rule. But x 2 > 0 for all x 6= 0, f 00 (x 2 ) > 0 [since f is CU for x>0], and f 0 (x 2 ) > 0 for all x 6= 0, so since all of its<br />

factors are positive, g 00 (x) > 0 for x 6= 0.Whetherg 00 (0) is positive or 0 doesn’t matter [since the sign of g 00 does not<br />

change there]; g is concave upward on R.<br />

51. If B =0, the line is vertical and the distance from x = − C A to (x 1,y 1 ) is<br />

x 1 + C A = |Ax 1 + By 1 + C|<br />

√ , so assume<br />

A2 + B 2<br />

B 6= 0. The square of the distance from (x 1,y 1) to the line is f(x) =(x − x 1) 2 +(y − y 1) 2 where Ax + By + C =0,so<br />

<br />

we minimize f(x) =(x − x 1) 2 + − A B x − C 2<br />

B − y1 ⇒ f 0 (x) =2(x − x 1)+2<br />

− A B x − C <br />

B − y1 − A <br />

.<br />

B<br />

<br />

f 0 (x) =0 ⇒ x = B2 x 1 − ABy 1 − AC<br />

and this gives a minimum since f 00 (x) =2<br />

1+ A2<br />

> 0. Substituting<br />

A 2 + B 2 B 2<br />

this value of x into f(x) and simplifying gives f(x) = (Ax 1 + By 1 + C) 2<br />

, so the minimum distance is<br />

A 2 + B 2<br />

<br />

f(x) =<br />

|Ax 1 + By 1 + C|<br />

√<br />

A2 + B 2 .

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