Since we have f ''' () c > 0 , we know that f ' () x at x = 1 and not a local max or min.
48. Since we have f ''' () c > 0 , we know that f ' () x at x = 1 and not a local max or min.
is concave up in a neighborhood around x =. c
() means that F(x) is c = 0 , we then know that the graph of 51. a. Not possible; Fx () > 0
Since f '
increasing. Fx ′′ () > 0 means that the rate at
f ' () x must be positive in that neighborhood.
which F(x) is increasing never slows down. This means that the graph of f must be increasing
Thus the values of F must eventually to the left of c and increasing to the right of c.
become positive.
Therefore, there is a point of inflection at c.
b. Not possible; If F(x) is concave down for all
x , then F(x) cannot always be positive.
c.
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52. a.
53. a.
No global extrema; inflection point at (0, 0)
ππ fx ′ () = 0 when x = – , 22
f 2 ′′ () x = –2 sin – 2 cos x x + 2 sin 2 x
4 sin = 2 x – 2 sin – 2; ( ) x f ′′ x = 0 when
sin x = – or sin x = 1 which occur when
No global maximum; global minimum at
(0, 0); no inflection points
⎛ Global minimum π
f ⎜ – ⎞= ⎟ –2; global ⎝ 2 ⎠
maximum f ⎛⎞= ⎜⎟ 2; inflection points ⎝⎠ 2
6 ⎟ = –, – f = – Global minimum ⎝ ⎠ 4 ⎜ 6 ⎝ ⎟ ⎠ 4
b.
f(– π ) = –2π + sin (–π ) = –2π ≈ –6.3;
global maximum
f () π = 2 π + sin π = 2 π ≈ 6.3 ; inflection point at (0, 0)
d.
fx ′ () = 2 cos x + 2 sin cos x x = 2 cos (1 sin ); x + x fx ′ () = 0 when
Global minimum
= –4 sin 2 x – 2 sin x + 2; ( ) f ′′ x = 0 when
which occur when
sin π
maximum f () π=π+
=π≈ 3.1; πππ x 5 = – ,,
inflection point at (0, 0).
⎛ π Global minimum f ⎜ – ⎞= –1; 2 ⎟
global
maximum f ⎛⎞= ⎜⎟ 3; inflection points ⎝⎠ 2
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fx ′ () = 2 cos 2 x + 3sin 3 x Using the graphs, f(x) has a global minimum
at f(2.17) ≈ –1.9 and a global maximum at
f (0.97) ≈ 1.9
f ′′ () x = –4 sin 2 x + 9 cos 3 ; ( ) xf ′′ x = 0 when
ππ x = – ,
fx ′ () = –2 sin 2 x + 2 sin x 22
and when
= –4 sin cos x x + 2 sin x = 2sin (1 – 2 cos ); x x x ≈ –2.469, –0.673, 0.413, 2.729.
Inflection points: ⎛ π ⎞ ⎛ π ⎞
fx ′ () = 0 when x =π –,– , 0, , π
f ′′ () x = –4 cos 2 x + 2 cos ; x f ′′ () x = 0 when
x ≈ –2.206, –0.568, 0.568, 2.206
Global minimum ⎛ π – ⎞
⎟ = ⎛⎞ f ⎜⎟ = –1.5;
Global maximum f(– π ) = f(π ) = 3;
Inflection points: ≈ ( − 2.206, 0.890 ) , ( − 0.568, 1.265 − ) , ( 0.568, 1.265 − ) ,
d.
55. y
fx ′ () = 3cos 3 – cos ; ( ) x xfx ′ = 0 when
3cos 3x = cos x which occurs when ππ
and when
22 x ≈ –2.7, –0.4, 0.4, 2.7
f ′′ () x = –9 sin 3 x + sin x which occurs when
x =– π , 0, π and when x ≈ –2.126, –1.016, 1.016, 2.126
a. f is increasing on the intervals ( −∞ − ,3 ]
π Global minimum f ⎛⎞= –2; and [ − ] 1, 0 ⎜⎟ .
⎝⎠ 2 f is decreasing on the intervals [ −− 3, 1 ]
global maximum f ⎜ – ⎟ ⎞= 2; and [ 0, ∞ ) .
Inflection points: ≈ ( − 2.126, 0.755 ) ,
b. f is concave down on the intervals
( −∞ − ,2 ) and ( 2, ∞ ) .
( 2.126, 0.755 − ) f is concave up on the intervals ( − 2, 0 ) and () 0, 2 .
e.
c. f attains a local maximum at x =− 3 and
f attains a local minimum at x =− 1 .
d. f has a point of inflection at x =− 2 and
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; () fx ′ is never 0,
2 x –6 x + 40 and always positive, so f(x) is increasing for
a. f is increasing on the interval [ −∞ 1, ) .
all x. Thus, on [–1, 7], the global minimum is
f is decreasing on the interval ( −∞ − ,1 ] f (–1) ≈ –6.9 and the global maximum if
f (7) ≈ 48.0.
b. is concave up on the intervals − 2, 0 2 x − 18 x + 147 – 240 f x ( ) f ′′ () x = ; () f ′′ x = 0
and ( 2, ∞ ) .
( x 2 –6 x + 40) 3/2
when x ≈ 2.02; inflection point
f is concave down on the interval () 0, 2 .
f (2.02) ≈ 11.4
b.
c. f does not have any local maxima.
f attains a local minimum at x =− 1 .
d. f has inflection points at x = 0 and x = 2 .
Global minimum f (0) = 0; global maximum
f (7) ≈ 124.4; inflection point at x ≈ 2.34,
No global minimum or maximum; no inflection points
d.
Global minimum f (3) ≈ –0.9; global maximum f(–1) ≈ 1.0 or f(7) ≈ 1.0; Inflection points at x ≈ 0.05 and x ≈ 5.9,
f (0.05) ≈ 0.3, f(5.9) ≈ 0.3.
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60. a.
3.6 Concepts Review
1. continuous; (a, b); ( ) – ( ) fb fa = fcb ′ ( )( – ) a
2. f′ (0) does not exist.
3. F(x) = G(x) + C fx ′ () = 3 x 2 – 16 x + 5; ( ) fx ′ = when 0
1 4 x = , 5. 4. x + C
3 Global minimum f(5) = –46;
global maximum f ⎜⎟ ⎛⎞≈ 4.8
1 Problem Set 3.6
⎝⎠ 3 x
8 1. fx ′ () =
f ′′ () x = x 6 – 16; ( ) f ′′ x = when 0 x = ; x
f (2) – (1) f 2–1
inflection point: 8
= for all c > 0, hence for all c in (1, 2) 1
b.
Global minimum when x ≈ –0.5 and
x ≈ 1.2, f(–0.5) ≈ 0, f(1.2) ≈ 0; global maximum f(5) = 46
Inflection point: ( − ) 0.5, 0 , ( ) 1.2, 0 ,
2. The Mean Value Theorem does not apply because g′ (0) does not exist.
c.
No global minimum or maximum; inflection point at
f (2) – (–2) f = 6–2 =
2c + 1 = 1 when c = 0
No global minimum, global maximum when x ≈ 0.26, f(0.26) ≈ 4.7 Inflection points when x ≈ 0.75 and x ≈ 3.15, f(0.75) ≈ 2.6, f(3.15) ≈ –0.88
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4. gx ′ () = 3( x + 1) 2 1 2 2 7. 1 fz ′ () = (3 z += 1) z +
g (1) – (–1) g 8–0
2 f (2) – (–1) f 2 – (–2) = 4 =
c + 1) = 4 when c = –1 +
3 2 1 c 4 + = when c = –1, 1, but 1 − is not in
( 1, 2) − so c = is the only solution. 1
5. Hs ′ () = 2 s + 3
H (1) – H (–3)
1 8. The Mean Value Theorem does not apply
because F(t) is not continuous at t = 1. 2c + 3 = 1 when c = –1
F (2) – F (–2) 3 –– () 3 4 =
c 2 = when c =±
≈± 1.15 ( – 3) c
c = 3–3 ≈ 1.27 (3 +
3 is not in (0, 2).)
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14. ′ () = because f(x) is not continuous at x = 3. 2/3 gx x
10. The Mean Value Theorem does not apply
3 g (1) – (–1) g = 1 – (–1) =
c = when 1 c ⎛⎞ =± ⎜⎟
1/ 3 = 2 when c =
π cos c = 0 when c =± .
12. The Mean Value Theorem does not apply because (0) h′ does not exist.
16. The Mean Value Theorem does not apply
because C () θ is not continuous at θ =− ππ , 0, .
⎛⎞ 3 17. The Mean Value Theorem does not apply
c = when 1 c =±⎜⎟ ,
because T () θ is not continuous at θ = .
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22. By the Mean Value Theorem because f(x) is not continuous at x = 0.
18. The Mean Value Theorem does not apply
fb () − fa ()
= fc ′ () for some c in (a, b).
Since f(b) = f(a),
There are three values for c such that
fc 1 ′ () =− . 4
19. fx ′ () = 1–
They are approximately 1.5, 3.75, and 7.
5 24. fx ′ () = 2 α x + β
f (2) – (1) f 2 –2 1
fb ()–() fa 1
when c =± 2, c = 2 ≈ 1.41 = α ( a ++ b ) β
a + b ( c = – 2 is not in (1, 2).) 2 α c += βα ( a ++ b ) β when c = which is
the midpoint of [a, b].
25. By the Monotonicity Theorem, f is increasing on the intervals ( , ) and ( ax 0 xb 0 ,) . To show that fx ( 0 ) > fx () for x in (, ) ax 0 ,
consider f on the interval (, ] ax 0 .
f satisfies the conditions of the Mean Value Theorem on the interval [, ] xx 0 for x in (, ) ax 0 .
So for some c in ( , ), xx
fx ( 0 ) − fx () = fcx ′ ( )( 0 − x ) . because f(x) is not continuous at x = 2.
20. The Mean Value Theorem does not apply
so ( fx 0 ) > fx () . Similar reasoning shows that fx () > fx ( 0 ) for in ( x xb 0 , ) . Therefore, f is increasing on (a, b).
26. a.
fx ′ () = 3 x 2 > 0 except at x = 0 in (– ∞ , ∞ ). fx () = x 3 is increasing on (– ∞ , ∞ ) by
21. The Mean Value Theorem does not apply
Problem 25.
because f is not differentiable at x = 0 .
b. fx ′ () = 5 x 4 > 0 except at x = 0 in (– ∞ , ∞ ). fx () = 5 x is increasing on (– ∞ , ∞ ) by
Problem 25.
c. fx () =⎨
> 0 except at x = 0 in
is increasing on
⎪⎩ x
(– ∞ , ∞ ) by Problem 25.
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27. s(t) is defined in any interval not containing t = 0.
34. ′ () 6 fx 2 = x – 18 x = xx 6 ( – 3); ( ) fx ′ = 0 when ′
sc () = – 2 < 0 for all c ≠ 0. For any a, b with
x = 0 or x = 3.
f (–1) = –10, f(0) = 1 so, by Problem 33, f(x) = 0
a < b and both either positive or negative, the
has exactly one solution on (–1, 0).
Mean Value Theorem says
f (0) = 1, f(1) = –6 so, by Problem 33, f(x) = 0 has
sb ()–() sa = scb ′ ( )( – ) a for some c in (a, b).
exactly one solution on (0, 1).
Since a < b, b – a > 0 while sc ′ () < 0, hence
f (4) = –15, f(5) = 26 so, by Problem 33, f(x) = 0 has exactly one solution on (4, 5).
s (b) – s(a) < 0, or s(b) < s(a). Thus, s(t) is decreasing on any interval not
35. Suppose there is more than one zero between containing t = 0.
successive distinct zeros of f′ . That is, there are 2
a and b such that f(a) = f(b) = 0 with a and b
28. sc ′ () = – 3 < 0 for all c > 0. If 0 < a < b, the
between successive distinct zeros of f ′ . Then by c
Mean Value Theorem says Rolle’s Theorem, there is a c between a and b
sb ()–() sa = scb ′ ( )( – ) a for some c in (a, b).
fc supposition that a and b lie between successive
such that ′ () = 0 . This contradicts the
Since a < b, b – a > 0 while sc ′ () < 0, hence
distinct zeros.
s (b) – s(a) < 0, or s(b) < s(a). Thus, s(t) is decreasing on any interval to the right of the
36. Let x 1 , x 2 , and x 3 be the three values such that origin.
gx () 1 = gx ( 2 ) = gx ( 3 ) = 0 and
a ≤ x 1 < x 2 < x 3 ≤ b . By applying Rolle’s By Theorem B,
29. Fx ′ () =
0 and Gx () = 0; Gx ′ () = 0 .
Theorem (see Problem 22) there is at least one
F (x) = G(x) + C, so F(x) = 0 + C = C. number x 4 in (, ) xx 1 2 and one number x 5 in ( x 2 , x 3 ) such that gx ′ ( 4 ) = gx ′ ( 5 ) = 0 . Then by
30. Fx 2 () = cos + sin 2 x xF ; (0) = 1 2 + 0 2 = 1 applying Rolle’s Theorem to gx ′ () , there is at Fx ′ () = 2 cos ( sin ) 2 sin (cos ) x − x + x x = 0 least one number x 6 in ( x 4 , x 5 ) such that By Problem 29, F(x) = C for all x.
gx ′′ ( 6 ) = 0 .
Since F(0) = 1, C = 1, so sin 2 x + cos 2 x = 1 for
all x.
37. f(x) is a polynomial function so it is continuous on [0, 4] and f ′′ () x exists for all x on (0, 4).
31. Let Gx () = Dx F x ; () ′ = D and ( ) Gx ′ = D .
f (1) = f(2) = f(3) = 0, so by Problem 36, there are By Theorem B, F(x) = G(x) + C; F(x) = Dx + C.
at least two values of x in [0, 4] where fx ′ () = 0
32. Fx ′ () = 5; (0) F = 4 and at least one value of x in [0, 4] where
f ′′ () x = 0.
F (x) = 5x + C by Problem 31.
F (0) = 4 so C = 4.
38. By applying the Mean Value Theorem and taking
F (x) = 5x + 4
the absolute value of both sides,
33. Since f(a) and f(b) have opposite signs, 0 is
fx ( 2 ) − fx () 1
= fc ′ () , for some c in (, ) xx . between f(a) and f(b). f(x) is continuous on [a, b],
since it has a derivative. Thus, by the Intermediate Value Theorem, there is at least one
Since fx ′ () ≤ M for all x in (a, b),
point c,
fx ( 2 ) − fx () 1
a < c < b with f(c) = 0. ≤ M ;( fx 2 ) − fx () 1 ≤ Mx 2 − x 1 .
Suppose there are two points, c and cc ′ , < c ′ in
(a, b) with fc () = () f c′ = 0. Then by Rolle’s
39. fx ′ () = 2 cos 2 ; ( ) xfx ′ ≤ 2
Theorem, there is at least one number d in (, ) c c′
fx ( 2 ) − fx () 1 fx ( 2 ) − fx () 1
with fd ′ () = 0. This contradicts the given
= fx ′ ();
x 2 − x 1 x 2 − x 1 information that fx ′ () ≠ 0 for all x in [a, b], thus
fx ( 2 ) − fx () 1 ≤ 2 x 2 − x 1 ;
there cannot be more than one x in [a, b] where
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40. a.
44. Let fx () = x so fx ′ () =
. Apply the Mean 2 x
Value Theorem to f on the interval [x, x + 2] for x > 0.
Thus x +− 2 x =
(2) = for some c in 2 c c
(x, x + 2). Observe
Thus as x →∞ ,
b.
x →∞ (
x +− 2 x ) = lim = 0 .
Therefore lim
x →∞ c
45. Let f(x) = sin x. fx ′ () = cos x, so
fx ′ () = cos x ≤ 1 for all x.
By the Mean Value Theorem, fx () − fy () =′ fc () for some c in (x, y).
41. Suppose fx ′ () ≥ 0 . Let a and b lie in the interior fx () − fy ()
of I such that b > a. By the Mean Value Theorem,
=′ fc () ≤ 1; there is a point c between a and b such that
Since a < b, f(b) ≥ f(a), so f is nondecreasing.
46. Let d be the difference in distance between horse
A and horse B as a function of time t. of I such that b > a. By the Mean Value Theorem,
Suppose fx ′ () ≤ 0. Let a and b lie in the interior
Then d′ is the difference in speeds. there is a point c between a and b such that
Let t 0 and t 1 and be the start and finish times of
the race.
b − a b − a dt () 0 = dt () 1 = 0
a < b, f(a) ≥ f(b), so f is nonincreasing.
By the Mean Value Theorem,
dt () 1 − dt ()
42. [ f ( )] x ′
= dc () for some c in (, ) t t . = 2() fxfx () t 01 1 − t 0
01 t . on I.
Because f(x) 2 ≥ 0 and fx ′ () ≥ 0 on , [ I f ( )] x ′ ≥ 0 Therefore dc ′ () = 0 for some c in (, ) t
As a consequence of the Mean Value Theorem,
47. Let s be the difference in speeds between horse A
f ( x 2 ) − f () x 1 ≥ 0 for all x 2 > x 1 on I.
and horse B as function of time t.
Then s′ is the difference in accelerations.
Therefore 2 f is nondecreasing.
Let t 2 be the time in Problem 46 at which the horses had the same speeds and let t
be the
43. Let f(x) = h(x) – g(x).
fx ′ () =′ hx () −′ gx ( ); ( ) fx ′ ≥ 0 for all x in
finish time of the race.
st () 2 = st () 1 = 0
(a, b) since gx ′ () ≤ hx ′ () for all x in (a, b), so f is By the Mean Value Theorem,
nondecreasing on (a, b) by Problem 41. Thus
st () 1 − st () 2
x 1 < x 2 ⇒ fx () 1 ≤ fx ( 2 ); = sc ′ () for some c in (, ) t 21 t .
t 1 − t 2 hx () 1 − gx () 1 ≤ hx ( 2 ) − gx ( 2 );
Therefore sc ′ () = 0 for some c in (, ) t 21 t .
gx ( 2 ) − gx () 1 ≤ hx ( 2 ) − hx () 1 for all x 1 and x 2
in (a, b).
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48. Suppose x > c. Then by the Mean Value
52. s is differentiable with s (0) = and 0 s (18) = 20 so Theorem,
fx () − fc () = fax ′ ( )( − c ) for some a in (, ) cx .
we can apply the Mean Value Theorem. There
exists a c in the interval ( 0,18 ) such that
Since f is concave up,
≈ ( 1.11 miles per minute −
Monotonicity Theorem f′ is increasing.
Therefore fa ′ () > fc ′ () and
66.67 miles per hour
fx () − fc () = fax ′ ( )( −> c ) fcx ′ ( )( − c ) fx () > fc () + fcx ′ ( )( − cx ), > c
Suppose x < c. Then by the Mean Value Theorem,
fc () − fx () = fac ′ ( )( − x ) for some in ( , ) a xc .
Since f is concave up,
f ′′ > 0 , and by the
Monotonicity Theorem f′ is increasing.
Therefore, fc ′ () > fa ′ () and
fc () − fx () = fac ′ ( )( − x ) < fcc ′ ( )( − x ) . − fx () <− fc () + fcc ′ ( )( − x ) fx () > fc () − fcc ′ ( )( − x )
fx () > fc () + fcx ′ ( )( − cx ), < c Therefore fx () > fc () + fcx ′ ( )( − cx ), ≠ c .
49. Fix an arbitrary x.
fy ()() − fx
() x = lim = 0 , since
fy ()() − fx
53. Since the car is stationary at t = , and since v is 0
≤ My − x .
continuous, there exists a δ such that vt () < 2
So, f ' ≡→= 0 f constant .
for all t in the interval [0, ] δ. vt () is therefore
and δ < ⋅ = . By the Mean δ s () δ
less than
50. fx () = x 1/ 3 on [0, a] or [–a, 0] where a is any
Value Theorem, there exists a c in the interval positive number. f′ (0) does not exist, but f(x)
( , 20) δ such that
has a vertical tangent line at x = 0.
vc () = sc '( ) = ⎝
51. Let f(t) be the distance traveled at time t.
By the Mean Value Theorem, there is a time c
20 − δ such that fc ′ () = 56. = 1 mile per minute
At some time during the trip, Johnny must have
60 miles per hour
gone 56 miles per hour.
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54. Given the position function
st 2 () =
at ++, bt c
Problem Set 3.7
the car’s instantaneous velocity is given by the
function st ' () = 2 at + b .
1. Let fx () = x 3 + x 2 – 6.
The midpoint of the interval [ AB , ] is
f (1) = –3, f(2) = 6
Thus, the car’s instantaneous velocity at the
midpoint of the interval is given by n fm ( n )
2 0.25 1.25 –1.546875 = aA ( + B ) + b 3 0.125 1.375 –0.650391
The car’s average velocity will be its change in
4 0.0625 1.4375 –0.154541 position divided by the length of the interval.
5 0.03125 1.46875 0.105927 That is,
sB ()() − sA ( aB
2 + bB +− c )( aA 2 + bA c +
B − A B − A 8 0.00390625 1.45703 0.00725670
aB 2 − aA 2 + bB bA −
B − A r ≈ 1.46
( − A ) + bB ( − A )
aB ( − A )( B + A )( + bB − A )
f (–1) = –3, f(0) = 1
aB + A + b h n m n fm ( ( ) n ) = aA ( + B ) + b 1 0.5 –0.5 0.4375
This is the same result as the instantaneous
2 0.25 –0.75 –0.792969 velocity at the midpoint.
3.7 Concepts Review
1. slowness of convergence
2. root; Intermediate Value
r ≈ –0.61
3. algorithms
3. Let fx () = 2 cos x − sin x .
4. fixed point
f () 1 ≈ 0.23913 ; f () 2 ≈− 1.74159
fm () n
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4. Let fx () =−+ x 2 2 cos x n x n
f () 1 =−+ 1 2 2 cos 1 () ≈ 0.080605 11
f () 2 =−+ 2 2 2 cos 2 () ≈− 0.832294 2 0.8636364
fm () n
7. Let fx () =−+ x 2 2 cos x .
f ' () x =− 1 2 sin x n
fx ′ () = 3 x 2 + 12 x + 9 1 4 2 3.724415
n x n 3 3.698429
8. Let fx () = 2 cos x − sin x .
f ' () x =− 2 sin x − cos x n
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9. Let f(x) = cos x – 2x. fx ′ () = 4 3 x 2 – 24 x + x 44 – 24 Note that f(2) = 0.
r = 2, r ≈ 0.58579, r ≈ 3.41421 r ≈ 0.45018
12. Let fx () = 4 x + 6 3 x 2 + 2 x + x 24 – 8.
10. Let fx () = 2 x − sin x − 1 .
f ' () x =− 2 cos x n x
r ≈ 0.88786 n x n
5 0.3166248 r ≈ –6.31662, r ≈ 0.31662
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13. Let
fx 2 () = 2
f ' () x = 4 x − cos x 47 ≈ 2.61833
17. fx = x 4 + () 3 x + x 2 + x is continuous on the
given interval.
() From the graph of f, we see that the maximum
value of the function on the interval occurs at the right endpoint. The minimum occurs at a stationary point within the interval. To find
where the minimum occurs, we solve f ' () x = 0
on the interval [ − 1,1 ] .
= 4 3 + 3 () 2 x x x + 2 x += 1 gx ()
Using Newton’s Method to solve gx () = 0 , we
get:
f ' x =− 2 csc 2 () x − 1 1 0 2 − 0.5
r ≈ 1.07687 Minimum: f ( − 0.60583 ) ≈− 0.32645
Maximum: f () 1 = 4
Section 3.7 Instructor’s Resource Manual
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18. fx =
() x
is continuous on the given
Minimum: f ( 4.493409 ) ≈− 0.21723
From the graph of f, we see that the maximum
Maximum: f ( 7.725252 ) ≈ 0.128375
and minimum will both occur at stationary points within the interval. The minimum appears to
20. fx () = x sin is continuous on the given
occur at about x =− 1.5 while the maximum
appears to occur at about x = 0.8 . To find the
interval.
stationary points, we solve f ' () x = 0 .
f ' () x =
= gx
Using Newton’s method to solve gx () = 0 on
From the graph of f, we see that the minimum value and maximum value on the interval will
the interval, we use the starting values of − 1.5 occur at stationary points within the interval. To
and 0.8 .
find these points, we need to solve f ' () x = 0 on
the interval.
() 2 x =
2 = gx ()
Using Newton’s method to solve gx () = 0 on
3 the interval, we use the starting values of π and
Maximum: f ( 0.692505 ) ≈ 1.08302
Minimum: f ( − 1.78436 ) ≈− 0.42032 n
19. fx () =
is continuous on the given interval.
Minimum: f ( 10.173970 ) ≈− 96.331841 Maximum: f ( 4.577859 ) ≈ 15.78121
From the graph of f, we see that the minimum value and maximum value on the interval will occur at stationary points within the interval. To
find these points, we need to solve f ' () x = 0 on
the interval.
f ' () x =
x cos x − sin x
2 = gx ()