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A comprehensive overview of differentiation rules in calculus, including the power rule, product rule, quotient rule, chain rule, and derivatives of logarithmic and exponential functions. It also includes a variety of practice problems to help students solidify their understanding of these concepts. Well-organized and easy to follow, making it a valuable resource for students studying calculus.
Typology: Exercises
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Differentiation Rules to Remember!
′(x)g(x) + f (x)g′(x)
f (x) g(x)
f ′(x)g(x) − f (x)g′(x) g(x)g(x)
Derivatives of the six basic trigonometric functions.
d dx (sin^ x) = cos^ x d dx (csc x) = − csc x cot x
d dx (cos^ x) =^ −^ sin^ x d dx (sec x) = sec x tan x
d dx (tan^ x) = sec^
(^2) x
d dx (cot x) = − csc^2 x
The Chain Rule If f (u) is differentiable at u, and u = g(x) is differentiable at x, then the derivative of the composite function f ◦ g(x) = f (g(x)), with respect to x, is
d dx [f (g(x))] = f ′(g(x)) · g′(x) OR df dx = df du · du dx
Derivatives of Log and Exponential Functions If b > 0, then
Derivatives of the inverse trigonometric functions.
d dx (arcsin^ x) =^
1 − x^2
d dx (arccos^ x) =^ −^
1 − x^2
d dx (arctan^ x) =^
1 + x^2
(a) (^) dxd
x^2 log 3 (2x + 1)
Solution. We can use the change of base formula (see ??) to rewrite log 3 (2x + 1) = ln(2ln 3x+1) , so d dx
x^2 log 3 (2x + 1)
ln 3
d dx
x^2 · ln (2x + 1)
ln 3
x^2 · d dx
ln
2 x + 1
ln 3
x^2 · 1 2 x + 1 · 2 + 2x ln (2x + 1)
(b) If y = (tan 2)e
√cos t , find dydt. Solution. Since tan 2 is a constant,
dy dt = (tan 2) · d dt
(^) e
cos t
= (tan 2)e
√cos t · d dt
(cos t) 1 /^2
= (tan 2)e
√cos t · 1 2 (cos t)−^1 /^2 (− sin t)
(c) If g(x) = sec(x^2 ex), find g′(x). Solution. d dx
sec
x^2 ex^
= sec
x^2 ex
tan
x^2 ex
d dx
x^2 · ex^
= sec
x^2 ex
tan
x^2 ex
x^2 ex^ + ex^ · 2 x
(Remember we use green boxes to indicate that we’re using the Product Rule.)
(d) If f (t) = t 5 3
1 + et^
, find f ′(t). (Can you rewrite f so that you don’t need to use the Quotient Rule?) Solution. We can rewrite f (t) = 15 t(1 + et)−^1 /^3 , so
f ′(t) =
d dt
t ·
1 + et
t · d dt
1 + et
3
1 + et
t
1 + et
d dt
1 + et
1 + et
t
1 + et
et^ +
1 + et
Now differentiate both sides with respect to x, and using the chain and product rule:
1 f (x) · f ′(x) =
x · ln(ln x) + ln x ·
ln x
x f ′(x) = f (x) ·
x · ln(ln x) + ln x ·
ln x
x
f ′(x) = (ln x)ln^ x^ ·
x · ln(ln x) + ln x ·
ln x
x
(d) f (x) = 3
x(x−2) x^2 +. Solution. This is a problem where logarithmic differentiation is not necessary, but it is super helpful! We can use it to break up this complicated function in smaller pieces that are easier to take derivatives of.
ln[f (x)] = ln
x(x − 2) x^2 + 1
ln
x(x − 2) x^2 + 1
ln(x(x − 2)) − ln(x^2 + 1)
ln(x) + ln(x − 2) − ln(x^2 + 1)
Now we can differentiate with respect to x:
f ′(x) f (x) =
x +^
x − 2 −^
2 x x^2 + 1
f ′(x) = f (x) ·
x
x − 2 − 2 x x^2 + 1
f ′(x) = 3
x(x − 2) x^2 + 1
x
x − 2
2 x x^2 + 1
Note: if you use a different method for computing the derivative, it is possible that you get an answer that has a completely different form and it is non-trivial to verify that the two answers are actually the same. If you are interested, you can check out the answer Wolframalpha gives. That answer is actually the same as this one.
(e) u(x) = sin
tan−^1 (ln x)
Solution. We need to use the chain rule.
u(x) = sin
tan−^1 (ln x)
u′(x) = d dx
sin
tan−^1 (ln x)
= cos
tan−^1 (ln x)
d dx
tan−^1
ln x
= cos
tan−^1 (ln x)
1 + (ln x)^2
d dx (ln x)
= cos
tan−^1 (ln x)
1 + (ln x)^2 ·^
x
(f) a(t) = (t + 2) √^3 (t + 5)^7 t − 5 Solution. This function is the product and quotient of a bunch of functions, and so we should use logarithmic differentiation.
a(t) = (t^ + 2)
(^3) (t + 5) 7 √ t − 5
We take natural log on both sides:
ln(a(t)) = ln
(t + 2)^3 (t + 5)^7 √ t − 5
= ln((t + 2)^3 (t + 5)^7 ) − ln(
t − 5) = ln((t + 2)^3 ) + ln((t + 5)^7 ) − ln((t − 5)^1 /^2 ) = 3 ln (t + 2) + 7 ln (t + 5) −
ln (t − 5)
And now we can differentiate
a(t) · a′(t) = 3 t + 2
t + 5
2(t − 5) a′(t) = a(t) ·
t + 2
t + 5
2(t − 5)
(t + 2) √^3 (t + 5)^7 t − 5
t + 2 +^
t + 5 −^
2(t − 5)
(g) s(t) = log 2
log 3
et
Solve for g′(t):
g′(t) = (ln t)^3 t
ln t
So, f ′(t) = 3 t^ ln 3 + 3t^2 + (ln t)^3 t
ln t
(j) f (x) = log 3 (arctan(x) arcsin(x)). Solution. This needs the chain rule, and then the product rule for the derivative of the inside function:
f ′(x) =
arctan(x) arcsin(x)
ln(3)
1 + x^2 · arcsin(x) + arctan(x) ·
1 − x^2
ln(3) arctan(x)(1 + x^2 )
ln(3) arcsin(x)
1 − x^2
e^2 x^ = sin(x^2 + 2y) + 1.
at the point (0,0). Solution. Let’s start by finding the slope of the tangent line. We know that the slope is just the value of (^) dxdy at the point (0, 0), so let’s use implicit differentiation to find this slope. We start with the equation for the curve:
e^2 x^ = sin(x^2 + 2y) + 1
Differentiate both sides with respect to x:
d dx
e 2 x
d dx
sin
x^2 + 2y
2 e^2 x^ = cos(x^2 + 2y) ·
2 x + 2 dy dx
Plug in x = 0, y = 0:
dy dx Solve for dydx : dy dx
So, the line has slope 1. Since (0, 0) is a point on the line, the equation of the line is y = x.
− 1 1
− 1
1
Solution. We start with the equation defining the curve.
(x^2 + y^2 − 1)^3 − x^2 y^3 = 0
Differentiate both sides with respect to x:
d dx
x^2 + y^2 − 1
− x^2 · y^3
d dx
x^2 + y^2 − 1
d dx
x^2 + y 2 − 1
x^2 · d dx
y 3
3(x^2 + y^2 − 1)^2
2 x + 2y dy dx
− x^2 · 3 y^2 dy dx −^2 xy
Now, we can plug in x = −1, y = 1:
−2 + 2 dy dx
− 3 dy dx
3 dy dx
dy dx
Therefore, the slope of the tangent line is 43 , so the equation of the line is y − 1 =
(x + 1). (From the picture, we can see that the tangent line should indeed have positive slope.)
− 2 − 1 1 2
− 2
− 1
1
2
Solution. We are looking for the points on the curve where dydx = 0. Starting from the equation for the curve, we can implicitly differentiate with respect to x: d dx
x^3 + y^3
d dx
2 ·^ x^ ·^ y
3 x^2 + 3y^2 dy dx
y + x dy dx
We want points where dydx = 0:
3 x^2 + 3y^2 · 0 =^9 2 (y + x · 0)
3 x^2 =^9 2 y 2 3 x^2 = y
So, we need y = 23 x^2. However, we also need to have points that are actually on the curve, so we also want x^3 + y^3 = 92 xy. Plugging the former equation into the latter,
x^3 +
x^2
x
x^2
x^3 +
27 x
(^6) = 3x 3
8 27 x
(^6) − 2 x (^3) = 0
x^3
x^3 − 2
So, either x = 0 or x^3 = 274 , which happens when x = √ 334. Looking at the picture of the curve, we see that the point with x = 0 does not have a tangent line at all, but there is a point with a horizontal tangent line, which must be the point with x = √ 334. The corresponding y-value is (^23)
√ 33 4
= √ 332. So,
the only point on the curve with a horizontal tangent line is
(a) (x^3 + 17 sin x)ln 3 Solution. We don’t need log differentiation here. This function is of the form [f (x)]b^ so to compute the derivative, we can use the chain rule! d dx
( x^3 + 17 sin x )ln 3
= ln 3(x^3 + 17 sin x)ln 3−^1 · (3x^2 + 17 cos x)
(b) 7
√x (^3) +
Solution. We don’t need log differentiation here. This function is of the form [b]f^ (x)^ so to compute the derivative, we can use the chain rule!
d dx
√x (^3) +
√x (^3) + ln 7 · d dx
x^3 + 14
√x (^3) + ln 7 ·
(x^3 + 14)−^1 /^2 · (3x^2 )
(c) (x^2 +
x)tan^ x Solution. Here logarithmic differentiation is essential because this function is of the form f (x)g(x). Let y = (x^2 +
x)tan^ x^ We will start by taking logs on both side, and then differ- entiate: ln y = ln
(x^2 +
x)tan^ x
ln y = tan x · ln(x^2 +
x)
Differentiating both sides with respect to x 1 y
dy dx = sec^2 x ln(x^2 +
x) + tan x ·
x^2 +
x
2 x +
x−^1 /^2
60
80
20 ft/s
30 ft/s
Now, we differentiate the relating equation with respect to t, using implicit differentiation: d dt (x
(^2) + y (^2) ) = d dt (z
2 x dx dt
Since we care about what happens at a specific moment, we can plug in our “snapshot” information.
At the moment we are interested in, x = 80, y = 60, dx dt = −30, dy dt = −20, and z = 100 by the Pythagorean Theorem. Plugging this all in to the previous equation gives
2(80)(−30) + 2(60)(−20) = 2(100) dz dt ,
so dz dt = −36. In words, the distance between the cars is
decreasing at an instantaneous rate of 36 ft/s.
6 m
10 m
r
h
Generic
6 m
10 m 5 m
Snapshot
Note that the radius and height of the tank are constant, but the radius and height of the oil change as oil leaks out, so we assign variables to those. Next, we figure out what we know and what we want to know. What we know: If we let V represent the volume of oil (in cubic m) at time t (where t is measured in days), then dVdt = −2. (This rate is negative because the volume is decreasing.) What we want to know: dhdt
Now, we try to relate variables. In this case, since the rate we know is d dtV and the rate we want to know is d dth , we try to relate V to h. First, the volume V of oil is the volume of a cone with radius r and height h, so V = 13 πr^2 h. We’d like to get V in terms of just h, so we need to express r in terms of h. Here, the key is similar triangles:
6 m
r 10 m h
From the similar triangles shown in blue, we get
r h , so^ r^ =
3 h
Equation relating our variables: V =
π
3 h 5
h = 3 π 25 h^3
Once we have our relating equation, we differentiate it. Since we are looking for dhdt , we should differentiate with respect to t. d dt (V ) = d dt
3 π 25 h^3
dV dt =^9 π 25 h^2 dh dt At the moment we’re interested in, dVdt = −2 and h = 5:
−2 = 9 π 25
dh dt
So, dh dt =^ −^
9 π. So, at the time we’re interested in, the height of oil is
decreasing at (^92) π m/day
Snapshot Generic
fence
(^80 )
observer
runner fence
80
x
observer
runner
θ
Next, we figure out what we know and what we want to know. What we know: dxdt = −9 (negative because the man is getting closer to the observer, so the distance x is decreasing) What we want to know: dθdt
Now, we try to relate variables. In this case, since the rate we know is dxdt and the rate we want to know is dθdt , we try to relate x and θ. Equation relating our variables: tan θ = 80 x Once we have our relating equation, we differentiate it. Since we are looking for dθdt , we should differ- entiate with respect to t. d dt (tan θ) = d dt
( (^) x 80
sec^2 θ dθ dt
dx dt Now, we plug in our snapshot information. In our snapshot, we can see that cos θ = 10080 = 45 , so sec θ = 54 :
25 16
dθ dt =^
dθ dt
So, the observer must turn the flashlight at
radians per second.
Snapshot Generic
200
100
duck
you
x
z y
duck
you
Next, we figure out what we know and what we want to know. What we know: dxdt = −5 (negative because x is decreasing) and dydt = 10 (positive because y is increasing) What we want to know: dzdt
Now, we try to relate variables. In this case, since the rates we know about are dxdt and dydt , and the rate we want to know is dzdt , we try to relate x, y, and z. Equation relating our variables: x^2 + y^2 = z^2 Once we have our relating equation, we differentiate it. Since we are looking for dzdt , we should differ- entiate with respect to t. d dt
x^2 + y^2
= d dt
z^2
2 x dx dt
x dx dt
200 (−5) + 100(10) =
dz dt Solving, dzdt = 0 ft/s.
(c) At what rate is the angle between the ladder and the ground changing then?
Solution. Caveat: We really want you to follow the problem solving framework that has been set up in the previous problems as you work through these. This solution is a sketch, and you should work to fill in the details you would need in order to get full credit on this problem! a) Denote the base of the triangle by x, and the height of the triangle by y. We have x^2 + y^2 = 13^2. Taking derivative with respect to time yields 2x dxdt + 2y dydt = 0. At the moment we are interested in, we know that dxdt = 5, x = 12 and y =
132 − 122 = 5, so 2 · 12 · 5 + 2 · 5 dydt = 0. So dydt = −12 ft/sec.
b) Denote the area of the triangle by A. We have A = xy 2. So dAdt =
dxdt y+x dydt
Plugging in everything we know from the previous part, dAdt = 5 ·5+12 2 · (−12)= − 59 .5 ft^2 /sec. c) Denote the angle by θ. We will use the equation tan θ = yx. After applying (^) dtd , we have sec^2 (θ) dθdt = dydt x− dxdt y x^2. At the moment we are interested in, we have cos(θ) =^ 12
So^ dθ dt =^ 122 132 − 12 ∗ 12 − 5 ∗ 5 122 =^ − 169 132 = − 1 radsec. (Side note: The angle must be measured is radians for this computation to work! If we used degrees instead of radians, we would have to change our trig derivative rule to [tan θ]′^ = 180 π sec^2 (θ).)
(a) Use linear approximation to estimate
x. We want to approximate f (24.5), so we should pick a value of a near 24.5 as a “base” for our approximation. Let’s use a = 25, since we can evaluate f (25) exactly. f ′(x) = 12 x−^1 /^2 , so f ′(a) = 101. Thus, our tangent line has slope 10. We also know that (25, 5) is a point on the tangent line, so the line has equation y − 5 = 101 (x − 25), or y = 5 + 101 (x − 25). Therefore,
x ≈ 5 + 101 (x − 25) for x near 25.
Plugging in x = 24.5 gives
Here’s a picture of our situation:
25 t
(b) From your sketch, you should be able to tell whether your approximation is an overestimate or underestimate. Which is it? Solution. From the sketch it is clear that our estimate is an overestimate.
(c) Explain your answer to (b) using a second derivative. Solution. As we’ve seen, it is the concavity of a function that decides whether linear approx-
imations give over-estimates or under-estimates. So far, we’ve been able to “see” for ourselves whether a function is concave up or down. But there is a more mathematical way to decide this. Recall our old table again: f f ′^ f ′′ Positive / Negative nothing — increasing / decreasing Positive / Negative nothing concave up / concave down increasing / decreasing Positive / Negative — concave up / concave down increasing / decreasing A function f is concave up exactly when the first derivative is increasing i.e. exactly when the second derivative is positive. So an easy way to check concavity, is simply to compute the second derivative. Here, f ′′(x) = − 41 x−^3 /^2 = − 41 · √^1 x 3. Since this is negative for any value of x, the function is concave down, and so the estimate is an over-estimate.
Solution. The idea of linear approximation is that the line tangent to a graph y = f (x) at x = a is a good approximation for the actual graph around x = a, so we start by picking a function f (x) and a value of x where we will find the tangent line. Since we are looking for 9^4 /^3 , it makes sense to pick as our function f (x) = x^4 /^3. Then, we want to know f (9). Let’s find the tangent line to f (x) at x = 8 because 8 is pretty close to 9, and we can evaluate f (8) exactly; it’s 8^4 /^3 = (8^1 /^3 )^4 = 2^4 = 16. Next, we find the tangent line. The slope of the tangent line will be given by f ′(8). Using the Power Rule, f ′(x) = 43 x^1 /^3 , so f ′(8) = 43 · 81 /^3 = 83. Thus, the tangent line has slope 83 ; we know (8, 16) is a point on the tangent line, so the tangent line has equation y − 16 = 83 (x − 8), or y = 16 + 83 (x − 8).
So, we know that x^4 /^3 ≈ 16 + 83 (x − 8) for x near 8. Plugging in x = 9 gives 9^4 /^3 ≈ 16 + 83 = 18 +
To figure out whether this estimate is too high or too low, let’s think about the concavity of f (x). The second derivative f ′′(x) is 49 x−^2 /^3 , which is positive on (0, ∞); therefore, f is concave up on (0, ∞). So, our tangent line approximation must have been under the graph of f , which means that our estimate was too low.
(a) Find all critical points of f.
Solution. f ′(x) = 3x^2 + 6x = 3(x^2 + 2x) = 3x(x + 2), so f ′(x) = 0 at x = − 2 , 0. (There are no points where f ′^ is undefined.)
(b) Make a sign chart for f ′, and use this to decide whether each of the critical points you found is a local minimum, a local maximum, or neither. Solution.
sign of f ¢
f
So we know that at x = −2 there is a local max and at x = 0 there is a local minimum. The above is a strategy used to classify critical point. The strategy can be boiled down to the following: