Math 112, Calculus I Final Exam Solutions
Math 112, Calculus I Final Exam Solutions
Math 112, Calculus I Final Exam Solutions
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<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
David Murphy<br />
1. (30 points) Let f be the function given by f(x) = √ x + 1. The graph of f crosses the x-axis<br />
at point P = (−1, 0) and the y-axis at point Q = (0, 1).<br />
(a) Write an equation for the line passing through points P and Q.<br />
To find the equation of the line passing through points P and Q, we need to know its<br />
slope, m, and a point on the line, say Q = (0, 1). Now the slope of the line is equal to<br />
the rise divided by the run between P and Q, so<br />
m = y Q − y P<br />
x Q − x P<br />
=<br />
Hence, the equation of the line through P and Q is<br />
(1) − (0)<br />
(0) − (−1) = 1 1 = 1.<br />
y − y Q = m(x − x Q ) =⇒ y − 1 = [1](x − 0) = x or y = x + 1.<br />
(b) Write an equation for the line tangent to the graph of f at point Q. Show your work.<br />
Again, to write the equation of the line tangent to the graph of y = f(x) = √ x + 1<br />
at Q, we need to know the slope of the line and a point on the line. For the point<br />
on the line, we’ll use Q, and to calculate the slope, we evaluate the derivative, which<br />
is the slope of the tangent line after all, when x = 0 (the x-coordinate of Q). Now<br />
f ′ (x) = d<br />
dx [(x + 1)1/2 ] = (1/2)(x + 1) −1/2 [1] = 1<br />
2 √ x+1 , so f ′ 1<br />
(0) = √ = 1 2 (0)+1 2<br />
is the<br />
slope of the tangent line. Hence the equation of the tangent line is<br />
y − y Q = m(x − x Q ) =⇒ y − 1 = 1 2 (x − 0) or y = 1 2 x + 1.<br />
(c) Find the x-coordinate of the point on the graph of f, between points P and Q, at which<br />
the line tangent to the graph of f is parallel to the line P Q.<br />
The graph of y = f(x) = √ x + 1 is parallel to the the line P Q at the value of x<br />
where the derivative, f ′ (x) = 1 2 (x + 1)−1/2 is equal to the slope of P Q, which is 1 as<br />
computed in part (a) above. Hence, we want to solve the equation 1 2 (x + 1)−1/2 = 1 for<br />
x. Multiplying both sides by (x + 1) 1/2 , we find that 1/2 = √ x + 1. Squaring both sides<br />
gives 1/4 = x + 1, so that<br />
x = 1 4 − 1 = −3 4<br />
is the x-coordinate of the point on the graph of f between points P and Q where the<br />
tangent line is parallel to P Q.<br />
1
<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
2. (20 points) Suppose that a piston is moving straight up and down and that its position at<br />
time t seconds is<br />
s(t) = A cos(2πbt),<br />
with A and b positive. The value of A is the amplitude of the motion, and b is the frequency<br />
(number of times the piston moves up and down each second). What effect does doubling<br />
the frequency have on the piston’s velocity, acceleration, and jerk (the instantaneous change<br />
in acceleration)?<br />
With b fixed, we have the following formulas for v(t), a(t), j(t):<br />
v(t) = s ′ (t) = d [A cos(2πbt)] = A · [− sin(2πbt) · (2πb)] = −2πbA sin(2πbt),<br />
dt<br />
a(t) = v ′ (t) = d dt [−2πbA sin(2πbt)] = −2πbA[cos(2πbt) · (2πb)] = −4π2 b 2 A cos(2πbt),<br />
j(t) = a ′ (t) = d dt [−4π2 b 2 A cos(2πbt)] = −4π 2 b 2 A[− sin(2πbt) · (2πb)] = 8π 3 b 3 A sin(2πbt).<br />
Now, if we replace b with 2b, then we have the following<br />
so that<br />
s(t) = A cos(2π(2b)t) = A cos(4πbt)<br />
v(t) = s ′ (t) = d [A cos(4πbt)] = A[− sin(4πbt) · (4πb)] = −4πbA sin(4πbt),<br />
dt<br />
a(t) = v ′ (t) = d dt [−4πbA sin(4πbt)] = −4πbA cos(4πbt) · (4πb) = −16π2 b 2 A cos(4πbt),<br />
j(t) = a ′ (t) = d dt [−16π2 b 2 A cos(4πbt)] = −16π 2 b 2 A[− sin(4πbt) · (4πb)] = 64π 3 b 3 A sin(4πbt).<br />
Thus, comparing corresponding amplitudes, we see that the amplitude for the velocity is<br />
doubled, the amplitude of the acceleration is quadrupled (i.e., multiplied by 4), and the jerk’s<br />
amplitude is 8 times that for the corresponding amplitudes of the velocity, acceleration, and<br />
jerk before doubling the frequency. (So you can see why machines break down sooner when<br />
we run them faster!)<br />
3. (20 points) Use the limit definition of the derivative and the limit laws to find f ′ (2) if<br />
f(x) = 1 − x . Write with complete detail.<br />
2x<br />
1−(2+h)<br />
f ′ f(2 + h) − f(2)<br />
2(2+h)<br />
− 1−(2)<br />
−1−h<br />
2(2)<br />
4+2h<br />
(2) = lim h→0 = lim h→0 = lim − −1<br />
4<br />
h→0<br />
h<br />
h<br />
h<br />
4(−1−h)−(−1)(4+2h)<br />
4(4+2h)<br />
= lim h→0<br />
h<br />
= lim h→0<br />
−4 − 4h + 4 + 2h<br />
4(4 + 2h)h<br />
= lim h→0<br />
−2<br />
4(4 + 2h) = −2<br />
4[4 + 2(0)] = −2<br />
16 = −1<br />
8 .<br />
= lim h→0<br />
−2h<br />
4(4 + 2h)h
<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
4. (20 points) Evaluate each limit, if it exists, or explain why it does not exist. If you use<br />
L’Hôpital’s rule, state why it is applicable.<br />
(a)<br />
x 2 − 25<br />
lim<br />
x→−5 x + 5<br />
= lim (x − 5)(x + 5)<br />
x→−5<br />
= lim x→−5 (x − 5) = (−5) − 5 = −10<br />
x + 5<br />
√ √ a + h − a<br />
(b) lim<br />
= 1<br />
h→0 h 2 √ because this is the limit definition of the derivative of f(x) =<br />
a<br />
√ x at x = a, and we know that f ′ (x) = 1 2 x−1/2 , so f ′ (a) = 1<br />
2 √ a .<br />
ln(1 + x) − x<br />
(c) lim<br />
x→0 x 2 is an indeterminate form of type 0/0, so we may apply L’Hôpital’s Rule<br />
1<br />
1+x<br />
and instead consider lim · 1 − 1<br />
x→0 , which is again of the form 0/0, so we apply<br />
(d)<br />
2x<br />
−(1 + x) −2 [1]<br />
L’Hôpital’s Rule a second time and look at lim x→0 =<br />
2<br />
ln(1 + x) − x<br />
−1/2. Hence, by L’Hôpital’s Rule, the original limit lim x→0<br />
x 2<br />
−[1 + (0)]−2<br />
2<br />
= −1/2.<br />
lim is an indeterminate form of type 0 0 , so we can’t use L’Hôpital’s Rule immediately<br />
x→0 +xx<br />
but must first transform this into either a 0/0 or ∞/∞ form. First, let y = x x and<br />
consider ln y = ln(x x ) = x ln x. Then lim x→0 + x ln x is a 0 · −∞ form, which still<br />
isn’t 0/0 or ∞/∞, but we may rewrite it as x ln x = ln x<br />
1/x , so that lim ln x<br />
x→0 + 1/x is<br />
now at last of the form −∞/∞ and we may apply L’Hôpital’s Rule to consider instead<br />
1/x<br />
lim x→0 +<br />
−1/x 2 = lim x→0 + −x = 0. Hence, by L’Hôpital’s Rule, lim x→0 + x ln x = 0 as<br />
well. Therefore, as x ln x = ln(x x ) and we wanted to find lim x→0 + x x , we exponentiate<br />
to recover x x and thus also the limit, so that<br />
lim<br />
x→0 xx = e 0 = 1.<br />
+<br />
=<br />
5. (20 points) Consider the piecewise defined function<br />
⎧<br />
1<br />
⎪⎨ x < 0<br />
x 2 −1<br />
f(x) = x<br />
⎪⎩<br />
2 0 ≤ x < 1<br />
x 1 ≤ x<br />
(a) Where does f have discontinuities? Classify them as removable, jump or infinite.<br />
On the interval (−∞, 0), f(x) = 1 , which is a rational function and so is continuous<br />
x 2 −1<br />
(and differentiable) as long as it is defined. However, it is not defined, and so not<br />
continuous when x = −1 because we’d be dividing by zero here. Thus f(x) is not<br />
continous at x = −1 having an infinite discontinuity.<br />
On the interval (0, 1), f(x) = x 2 is a polynomial and so it is continuous (and differentiable).<br />
On the interval (1, ∞), f(x) = x is again continuous (and differentiable) because<br />
it is a polynomial function.<br />
At x = 0, where the definition of f changes from 1<br />
x 2 −1 to x2 , we have<br />
1<br />
lim f(x) = lim<br />
x→0− x→0 x 2 − 1 = 1<br />
(0) 2 − 1 = −1
<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
while<br />
lim f(x) = lim<br />
x→0 + x→0 x2 = (0) 2 = 0.<br />
+<br />
As these two limits are not equal, the limit lim x→0 f(x) does not exist so f(x) is not<br />
continous at x = 0 having a jump discontinuity.<br />
At x = 1, the definition of f changes from x 2 to x, and we have<br />
lim f(x) = lim<br />
x→1− x→1 x2 = 1<br />
−<br />
and<br />
lim f(x) = lim x = 1.<br />
x→1 + x→1 +<br />
Since these two one-sided limits both exist, agree, and are equal to f(1) = 1, f is<br />
continuous at x = 1.<br />
(b) Where is f not differentiable? Support your answer.<br />
First of all, f is not differentiable at x = −1 nor at x = 0 since f is not continuous at<br />
these points. We have already noted that f is differentiable on (−∞, −1), (−1, 0), (0, 1)<br />
and (1, ∞), so the only other point to check is at x = 1. From the left, lim x→1 − f ′ (x) =<br />
lim x→1 − 2x = 2 and from the right lim x→1 + f ′ (x) = lim x→1 + 1 = 1. Since these limits<br />
are different, there is a corner when x = 1 so the function f is not differentiable at x = 1.<br />
6. (20 points) Let f be the function defined by f(x) = (x 2 − 3)e x for all real numbers x.<br />
(a) Find the vertical and horizontal asymptotes, if they exist.<br />
Since f(x) is defined for all real numbers x, so that we’re never dividing by 0, there are<br />
no vertical asymptotes. To decide if there are horizontal asymptotes, we consider<br />
lim f(x) = lim<br />
x→∞ x→∞ (x2 − 3)e x = ∞ · ∞ = ∞<br />
so there is no horizontal asymptote as x → +∞. Yet,<br />
lim f(x) = lim<br />
x→−∞ x→−∞ (x2 − 3)e x = ∞ · 0<br />
is indeterminate, so we’ll use L’Hôpital’s Rule by first rewriting (x 2 − 3)e x = x2 − 3<br />
e −x ,<br />
2x<br />
which is of the form ∞/∞ as x → −∞. Thus, consider lim x→−∞ , which is again<br />
−e−x 2<br />
∞/∞, so compute lim x→−∞<br />
e −x = 0 since e−x → ∞ while 2 is constant. Hence,<br />
applying L’Hôpital’s Rule, we have lim x→−∞ (x 2 − 3)e x = 0, so that the line y = 0 is a<br />
horizontal asymptote of f.<br />
(b) Find the intervals of increase or decrease.<br />
First, f ′ (x) = (x 2 − 3)[e x ] + (e x )[2x] = e x [x 2 − 3 + 2x] = e x (x + 3)(x − 1), which is always<br />
defined. Thus the only critical numbers are when f ′ (x) = 0, so are x = −3, +1. Dividing<br />
the real number line at these points, we check whether f is increasing or decreasing on<br />
the intervals (−∞, −3), (−3, 1), (1, ∞) by evaluating<br />
f ′ (−4) = e −4 (−1)(−5) = 5e −4 > 0 =⇒ f is increasing on (−∞, −3);<br />
f ′ (0) = e 0 (−3)(+1) = −3 < 0 =⇒ f is decreasing on (−3, 1);<br />
f ′ (2) = e 2 (+5)(+1) = 5e 2 > 0 =⇒ f is increasing on (1, ∞).
<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
(c) Find the local maximum and minimum values.<br />
By the First Derivative Test, since f changes from increasing to decreasing when x = −3,<br />
f has a local maximum at the point (−3, f(−3)) = (−3, [(−3) 2 − 3]e −3 ) = (−3, 6e −3 ).<br />
Hence the local maximum value of f is 6e −3 . The First Derivative Test also tells us that<br />
f has a local minimum at the point (1, f(1)) = (1, [(1) 2 − 3]e 1 ) = (1, −2e) since the f<br />
changes from decreasing to increasing at x = 1. Thus the local minimum value of f is<br />
−2e.<br />
(d) Find the intervals of concavity and the inflection points.<br />
We have f ′′ (x) = (e x )[2x + 2] + (x 2 + 2x − 3)[e x ] = e x [x 2 + 4x − 1], which is defined for<br />
all x, so we find when f ′′ (x) = 0 to locate where f may change in concavity. Since e x is<br />
never zero, f ′′ (x) = 0 when x 2 + 4x − 1 = 0, which by the Quadratic Formula is when<br />
x = −4 ± √ 4 2 − 4(1)(−1)<br />
= −2 ± √ 5. We still have to show that concavity changes, so<br />
2(1)<br />
on the interval (−∞, −2 − √ 5), f ′′ (−5) = e −5 [(−5) 2 + 4(−5) − 1] = e −5 [25 − 20 − 1] =<br />
4e −5 > 0 so f is concave up. On (−2 − √ 5, −2 + √ 5), which includes the point where<br />
x = 0, we have f ′′ (0) = e 0 [(0) 2 + 4(0) − 1] = −1 < 0, so f is concave down. <strong>Final</strong>ly,<br />
on (−2 + √ 5, ∞), which includes x = 1, we have f ′′ (1) = e 1 [(1) 2 + 4(1) − 1] = 4e ><br />
0 so f is concave up. Therefore, concavity changes when x = −2 − √ 5 and again<br />
when x = −2 + √ 5, so f has inflection points at the points (−2 − √ 5, f(−2 − √ 5)) =<br />
(−2 − √ 5, ((−2 − √ 5) 2 − 3)e −2−√5 ) = (−4.236, 0.216) and at (−2 + √ 5, f(−2 + √ 5)) =<br />
(−2 + √ 5, ((−2 + √ 5) 2 − 3)e −2+√5 ) = (0.236, −3.728).<br />
7. (20 points) Consider the function f(x) = √ 1 + x near x = 0.<br />
(a) Find the linearization L(x) for f(x) near x = 0.<br />
Since f ′ (x) = 1 2 (1 + x)−1/2 [1], we have<br />
L(x) = f(0) + f ′ (0)[x − 0] = √ 1<br />
1 + 0 + [<br />
2 √ 1 + 0 ](x − 0) = 1 + 1 2 x.<br />
(b) Use your linear approximation to estimate f(0.5). Is this approximation too large or too<br />
small? Support your answer.<br />
f(0.5) ≈ L(0.5) = 1+ 1 2<br />
(0.5) = 1.25. To determine whether this approximation is too big<br />
or too small, we check the concavity: f ′′ (x) = −1<br />
4 (1+x)−3/2 [1] so that f ′′ (0) = −1/4 < 0<br />
implies that f is concave down at x = 0 so the linear approximation L(0.5) = 1.25 is too<br />
large.<br />
(c) Show that the approximation of √ 1 + x by its linearization at the origin must improve<br />
as x → 0 by showing that lim x→0 f(x)/L(x) = 1.<br />
√ √<br />
f(x) 1 + x 1 + (0)<br />
lim<br />
x→0 L(x) = lim<br />
x→0 1 + 0.5x = 1 + 0.5(0) = 1 1 = 1.
<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
8. (25 points) A balloon is in the shape of a cylinder with hemispherical ends of the same radius<br />
as that of the cylinder. The balloon is being inflated at the constant rate of 261π cubic<br />
centimeters per minute. At the instant the radius of the cylinder is 3 centimeters, the volume<br />
of the balloon is 144π cubic centimeters and the radius of the cylinder is increasing at the<br />
rate of 2 centimeters per minute. (The volume of a cylinder with radius r and height h is<br />
πr 2 h and the volume of a sphere with radius r is 4 3 πr3 .)<br />
(a) At this instant, what is the height of the cylinder?<br />
The total volume of the balloon is the volume of the cylinder plus the volumes of the<br />
two hemispheres, which together make the volume of a single sphere, so<br />
V = πr 2 h + 4 3 πr3 .<br />
When V = 144π and r = 3, we have 144π = π(3) 2 h + 4 3 π(3)3 = 9πh + 36π, so 9πh =<br />
144π − 36π = 108π. Thus h = 12 cm at this moment.<br />
(b) At this instant, how fast is the height of the cylinder increasing?<br />
Differentiating the volume equation above with respect to time t, we obtain<br />
dV<br />
dt = π[(r2 )[ dh<br />
dt<br />
Substituting in dV<br />
dt<br />
[2π(3)(12) + 4π(3) 2 ](2) = 9π dh<br />
cm/min.<br />
] + (h)[2r<br />
dr<br />
dt ]] + 4 3<br />
= 261π, r = 3, h = 12 and dr<br />
dt<br />
dt<br />
+ 216π, so 9π<br />
dh<br />
dt<br />
dr dh<br />
π[3r2 ] = πr2<br />
dt dt + [2πrh + 4πr2 ] dr<br />
dt .<br />
= 2, we have 261π = π(3) 2 dh<br />
dt +<br />
dh<br />
= 261π − 216π = 45π. Hence<br />
dt = 5<br />
9. (25 points) It’s 10:30 p.m. Your snowmobile is out of gas and you are 3 miles due south of<br />
a major highway. The nearest gas station on the highway is 5 miles east of your position;<br />
it closes at midnight. You can walk 5 miles per hour on roads, but only 3 miles per hour<br />
through snowy fields. (Hint: time = distance/rate)<br />
(a) What is the best route to the gas station?<br />
(b) Can you make it there before the gas station closes?<br />
You’re going to walk diagonally a distance, which we’ll call s, through the fields to the highway,<br />
and then a distance x along the highway to the gas station. Then s is the hypotenuse of<br />
the triangle in the figure you were given. Call the third side of this triangle z, so by the<br />
Pythagorean Theorem we have s 2 = 3 2 + z 2 = 9 + z 2 . Moreover, z + x = 5 since the gas<br />
station is 5 miles east of the point on the highway due north of your current location. Hence<br />
x = 5 − z. The time it takes to walk s miles through the snowy fields is given by s/3, since<br />
you have to walk s miles and you are walking at the rate 3 mph. The time to walk x miles<br />
along the highway is x/5 since you walk 5 mph on the highway. Thus the total time for your<br />
trip, which is what you want to minimize, is<br />
t = s 3 + x 5 = √<br />
9 + z 2<br />
3<br />
+ 5 − z<br />
5 .<br />
To minimize the function t(z) above, we find its derivative and set it equal to zero:<br />
t ′ (z) = [ 1 2 (9 + z2 ) −1/2 [2z]]<br />
3<br />
+ −1<br />
5 = 0.
<strong>Math</strong> <strong>112</strong>, <strong>Calculus</strong> I<br />
<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />
z<br />
Adding 1/5 to both sides, we get<br />
3 √ = 1 9+z 2 5 , so 5z 3 = √ 9 + z 2 . Hence 25z2<br />
9<br />
= 9 + z 2 , so<br />
9 = 25z2<br />
9<br />
− z 2 = 25z2 −9z 2<br />
9<br />
= 16z2<br />
9 . Therefore z2 = 81<br />
16 , so z = ± 9 4<br />
of which only z = 9/4<br />
is reasonable as a solution.<br />
consider t ′ (0) =<br />
To confirm that this value of z corresponds to a minimum,<br />
√ (0)<br />
− 1<br />
3 9+(0) 2 5 = −1/5 < 0 so that t is decreasing for z < 9/4 and f ′ (4) =<br />
√ (4)<br />
− 1<br />
3 9+(4) 2 5 = 4<br />
15 − 1 5 = 1<br />
15<br />
> 0 so that f is increasing for z > 9/4. Thus, z = 9/4 corresponds<br />
to a minimum for t(z), so if you are in this situation you should walk so that you reach the<br />
highway 9/4 = 2.25 miles east of your current position (so you have to walk an addition 2.75<br />
miles east along the highway to the gas station). This is your optimal route.<br />
To determine if you’ll reach the gas station before it closes or not, compute<br />
√<br />
9 + (9/4) 2<br />
t(9/4) =<br />
+ 5 − (9/4) = 1.25 + 0.55 = 1.8<br />
3<br />
5<br />
so with your best route, it will take you 1.8 hours to reach the gas station from the point<br />
where your snowmobile is out of gas. As the gas station closes an hour and a half after the<br />
time your snowmobile runs out of gas, you don’t have enough time to get there, so you won’t<br />
make it to the gas station before it closes (you’ll be 18 minutes too late!).