Board Coverage
Board Paper Notes AQA Paper 1, 2 First principles, rules, applications in P1; chain/product in P2 Edexcel P1, P2 Similar split OCR (A) Paper 1, 2 Includes connected rates in P2 CIE (9709) P1, P2, P3 Basic differentiation in P1; product/quotient/chain in P2/P3
The formula booklet lists derivatives of standard functions. You must know how to apply the
product, quotient, and chain rules, and how to find stationary points.
1. The Derivative from First Principles
1.1 Definition
Definition. The derivative of f f f at x x x is
f ′ ( x ) = lim h → 0 f ( x + h ) − f ( x ) h f'(x) = \lim_{h\to 0}\frac{f(x+h)-f(x)}{h} f ′ ( x ) = lim h → 0 h f ( x + h ) − f ( x )
provided this limit exists. If it does, we say f f f is differentiable at x x x .
Geometric interpretation. The quantity f ( x + h ) − f ( x ) h \dfrac{f(x+h)-f(x)}{h} h f ( x + h ) − f ( x ) is the gradient of the secant
line through the points ( x , f ( x ) ) (x, f(x)) ( x , f ( x )) and ( x + h , f ( x + h ) ) (x+h, f(x+h)) ( x + h , f ( x + h )) . As h → 0 h \to 0 h → 0 , this secant approaches the
tangent, so f ′ ( x ) f'(x) f ′ ( x ) is the gradient of the tangent at x x x .
info
there. Continuity is necessary but not sufficient — f ( x ) = ∣ x ∣ f(x) = |x| f ( x ) = ∣ x ∣ is continuous at x = 0 x=0 x = 0 but not
differentiable.
2. Derivative of x n x^n x n from First Principles
Theorem. For n ∈ N n \in \mathbb{N} n ∈ N , d d x x n = n x n − 1 \dfrac{d}{dx}x^n = nx^{n-1} d x d x n = n x n − 1 .
Proof. By the limit definition:
f ′ ( x ) = lim h → 0 ( x + h ) n − x n h f'(x) = \lim_{h\to 0}\frac{(x+h)^n - x^n}{h} f ′ ( x ) = lim h → 0 h ( x + h ) n − x n
Expanding ( x + h ) n (x+h)^n ( x + h ) n using the binomial theorem:
( x + h ) n = x n + ( n 1 ) x n − 1 h + ( n 2 ) x n − 2 h 2 + ⋯ + h n (x+h)^n = x^n + \binom{n}{1}x^{n-1}h + \binom{n}{2}x^{n-2}h^2 + \cdots + h^n ( x + h ) n = x n + ( 1 n ) x n − 1 h + ( 2 n ) x n − 2 h 2 + ⋯ + h n
Subtracting x n x^n x n and dividing by h h h :
( x + h ) n − x n h = ( n 1 ) x n − 1 + ( n 2 ) x n − 2 h + ⋯ + h n − 1 \frac{(x+h)^n - x^n}{h} = \binom{n}{1}x^{n-1} + \binom{n}{2}x^{n-2}h + \cdots + h^{n-1} h ( x + h ) n − x n = ( 1 n ) x n − 1 + ( 2 n ) x n − 2 h + ⋯ + h n − 1
Taking h → 0 h \to 0 h → 0 , every term containing h h h vanishes:
f ′ ( x ) = ( n 1 ) x n − 1 = n x n − 1 ■ f'(x) = \binom{n}{1}x^{n-1} = nx^{n-1} \quad \blacksquare f ′ ( x ) = ( 1 n ) x n − 1 = n x n − 1 ■
This proof extends to negative and fractional powers using the limit definition with the generalised
binomial theorem or logarithmic differentiation.
Intuition. The power rule says: "bring the power down and reduce it by one." This works because
the leading-order term in ( x + h ) n − x n (x+h)^n - x^n ( x + h ) n − x n is n x n − 1 h nx^{n-1}h n x n − 1 h , and dividing by h h h leaves n x n − 1 nx^{n-1} n x n − 1 .
3. The Product Rule
Theorem. If u = f ( x ) u = f(x) u = f ( x ) and v = g ( x ) v = g(x) v = g ( x ) are differentiable, then
d d x ( u v ) = u d v d x + v d u d x \frac{d}{dx}(uv) = u\frac{dv}{dx} + v\frac{du}{dx} d x d ( uv ) = u d x d v + v d x d u
3.1 Proof from first principles
Let F ( x ) = f ( x ) g ( x ) F(x) = f(x)g(x) F ( x ) = f ( x ) g ( x ) . Then:
F ′ ( x ) = lim h → 0 F ( x + h ) − F ( x ) h = lim h → 0 f ( x + h ) g ( x + h ) − f ( x ) g ( x ) h \begin{aligned}
F'(x) &= \lim_{h\to 0}\frac{F(x+h)-F(x)}{h} \\
&= \lim_{h\to 0}\frac{f(x+h)g(x+h) - f(x)g(x)}{h}
\end{aligned} F ′ ( x ) = h → 0 lim h F ( x + h ) − F ( x ) = h → 0 lim h f ( x + h ) g ( x + h ) − f ( x ) g ( x )
We add and subtract f ( x + h ) g ( x ) f(x+h)g(x) f ( x + h ) g ( x ) :
= lim h → 0 f ( x + h ) g ( x + h ) − f ( x + h ) g ( x ) + f ( x + h ) g ( x ) − f ( x ) g ( x ) h = \lim_{h\to 0}\frac{f(x+h)g(x+h) - f(x+h)g(x) + f(x+h)g(x) - f(x)g(x)}{h} = lim h → 0 h f ( x + h ) g ( x + h ) − f ( x + h ) g ( x ) + f ( x + h ) g ( x ) − f ( x ) g ( x )
= lim h → 0 [ f ( x + h ) g ( x + h ) − g ( x ) h + g ( x ) f ( x + h ) − f ( x ) h ] = \lim_{h\to 0}\left[f(x+h)\frac{g(x+h)-g(x)}{h} + g(x)\frac{f(x+h)-f(x)}{h}\right] = lim h → 0 [ f ( x + h ) h g ( x + h ) − g ( x ) + g ( x ) h f ( x + h ) − f ( x ) ]
Since f f f is differentiable (hence continuous), lim h → 0 f ( x + h ) = f ( x ) \lim_{h\to 0}f(x+h) = f(x) lim h → 0 f ( x + h ) = f ( x ) :
= f ( x ) ⋅ g ′ ( x ) + g ( x ) ⋅ f ′ ( x ) ■ = f(x) \cdot g'(x) + g(x) \cdot f'(x) \quad \blacksquare = f ( x ) ⋅ g ′ ( x ) + g ( x ) ⋅ f ′ ( x ) ■
Intuition. Think of the area of a rectangle with sides u u u and v v v . If u u u changes by δ u \delta u δ u
and v v v by δ v \delta v δ v , the change in area is approximately v δ u + u δ v v\,\delta u + u\,\delta v v δ u + u δ v (the two thin
strips along the edges; the corner piece δ u δ v \delta u\,\delta v δ u δ v is negligible).
4. The Quotient Rule
Theorem. If u = f ( x ) u = f(x) u = f ( x ) and v = g ( x ) v = g(x) v = g ( x ) are differentiable with v ≠ 0 v \neq 0 v = 0 , then
d d x ( u v ) = ◆ L B ◆ v d u d x − u d v d x ◆ R B ◆◆ L B ◆ v 2 ◆ R B ◆ \frac{d}{dx}\left(\frac{u}{v}\right) = \frac◆LB◆v\frac{du}{dx} - u\frac{dv}{dx}◆RB◆◆LB◆v^2◆RB◆ d x d ( v u ) = L ◆ B ◆ v d x d u − u d x d v ◆ R B ◆◆ L B ◆ v 2 ◆ R B ◆
4.1 Proof from the product rule
Write u v = u ⋅ v − 1 \dfrac{u}{v} = u \cdot v^{-1} v u = u ⋅ v − 1 . Applying the product rule:
d d x ( u v ) = d u d x ⋅ v − 1 + u ⋅ d d x ( v − 1 ) \frac{d}{dx}\left(\frac{u}{v}\right) = \frac{du}{dx} \cdot v^{-1} + u \cdot \frac{d}{dx}(v^{-1}) d x d ( v u ) = d x d u ⋅ v − 1 + u ⋅ d x d ( v − 1 )
By the chain rule, d d x ( v − 1 ) = − v − 2 d v d x \dfrac{d}{dx}(v^{-1}) = -v^{-2}\dfrac{dv}{dx} d x d ( v − 1 ) = − v − 2 d x d v :
= 1 v d u d x − u v 2 d v d x = ◆ L B ◆ v d u d x − u d v d x ◆ R B ◆◆ L B ◆ v 2 ◆ R B ◆ ■ = \frac{1}{v}\frac{du}{dx} - \frac{u}{v^2}\frac{dv}{dx} = \frac◆LB◆v\frac{du}{dx} - u\frac{dv}{dx}◆RB◆◆LB◆v^2◆RB◆ \quad \blacksquare = v 1 d x d u − v 2 u d x d v = L ◆ B ◆ v d x d u − u d x d v ◆ R B ◆◆ L B ◆ v 2 ◆ R B ◆ ■
The quotient rule has a minus sign in the numerator: v u ′ − u v ′ v\,u' - u\,v' v u ′ − u v ′ . Getting this
the wrong way around is one of the most common errors in A Level mathematics.
5. The Chain Rule
Theorem. If y = f ( g ( x ) ) y = f(g(x)) y = f ( g ( x )) , then
d y d x = d y d u ⋅ d u d x \frac{dy}{dx} = \frac{dy}{du} \cdot \frac{du}{dx} d x d y = d u d y ⋅ d x d u
where u = g ( x ) u = g(x) u = g ( x ) .
If x x x changes by δ x \delta x δ x , then u u u changes by approximately g ′ ( x ) δ x g'(x)\,\delta x g ′ ( x ) δ x , and y y y changes
by approximately f ′ ( u ) ⋅ g ′ ( x ) δ x f'(u) \cdot g'(x)\,\delta x f ′ ( u ) ⋅ g ′ ( x ) δ x . Dividing by δ x \delta x δ x and taking the limit:
d y d x = f ′ ( g ( x ) ) ⋅ g ′ ( x ) \frac{dy}{dx} = f'(g(x)) \cdot g'(x) d x d y = f ′ ( g ( x )) ⋅ g ′ ( x )
A fully rigorous proof uses the mean value theorem to handle the case when g ′ ( x ) = 0 g'(x) = 0 g ′ ( x ) = 0 .
Intuition. The chain rule handles composite functions: "differentiate the outer function, then
multiply by the derivative of the inner function." Think of it as a gearing mechanism: a small turn
in x x x causes a turn in u u u , which causes a turn in y y y , and the overall effect is the product of
the two gear ratios.
6. Derivatives of Standard Functions
6.1 Derivative of sin x \sin x sin x from first principles
Theorem. d d x sin x = cos x \dfrac{d}{dx}\sin x = \cos x d x d sin x = cos x .
Proof. Using the limit definition and the compound angle formula
sin ( α + β ) = sin α cos β + cos α sin β \sin(\alpha + \beta) = \sin\alpha\cos\beta + \cos\alpha\sin\beta sin ( α + β ) = sin α cos β + cos α sin β :
d d x sin x = lim h → 0 ◆ L B ◆ sin ( x + h ) − sin x ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = lim h → 0 ◆ L B ◆ sin x cos h + cos x sin h − sin x ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = lim h → 0 [ sin x ⋅ ◆ L B ◆ cos h − 1 ◆ R B ◆◆ L B ◆ h ◆ R B ◆ + cos x ⋅ ◆ L B ◆ sin h ◆ R B ◆◆ L B ◆ h ◆ R B ◆ ] \begin{aligned}
\frac{d}{dx}\sin x &= \lim_{h\to 0}\frac◆LB◆\sin(x+h) - \sin x◆RB◆◆LB◆h◆RB◆ \\
&= \lim_{h\to 0}\frac◆LB◆\sin x\cos h + \cos x\sin h - \sin x◆RB◆◆LB◆h◆RB◆ \\
&= \lim_{h\to 0}\left[\sin x \cdot \frac◆LB◆\cos h - 1◆RB◆◆LB◆h◆RB◆ + \cos x \cdot \frac◆LB◆\sin h◆RB◆◆LB◆h◆RB◆\right]
\end{aligned} d x d sin x = h → 0 lim L ◆ B ◆ sin ( x + h ) − sin x ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = h → 0 lim L ◆ B ◆ sin x cos h + cos x sin h − sin x ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = h → 0 lim [ sin x ⋅ L ◆ B ◆ cos h − 1◆ R B ◆◆ L B ◆ h ◆ R B ◆ + cos x ⋅ L ◆ B ◆ sin h ◆ R B ◆◆ L B ◆ h ◆ R B ◆ ]
Using the standard limits lim h → 0 ◆ L B ◆ sin h ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = 1 \displaystyle\lim_{h\to 0}\frac◆LB◆\sin h◆RB◆◆LB◆h◆RB◆ = 1 h → 0 lim L ◆ B ◆ sin h ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = 1 and
lim h → 0 ◆ L B ◆ cos h − 1 ◆ R B ◆◆ L B ◆ h ◆ R B ◆ = 0 \displaystyle\lim_{h\to 0}\frac◆LB◆\cos h - 1◆RB◆◆LB◆h◆RB◆ = 0 h → 0 lim L ◆ B ◆ cos h − 1◆ R B ◆◆ L B ◆ h ◆ R B ◆ = 0 :
= sin x ⋅ 0 + cos x ⋅ 1 = cos x ■ = \sin x \cdot 0 + \cos x \cdot 1 = \cos x \quad \blacksquare = sin x ⋅ 0 + cos x ⋅ 1 = cos x ■
6.2 Derivative of cos x \cos x cos x
Theorem. d d x cos x = − sin x \dfrac{d}{dx}\cos x = -\sin x d x d cos x = − sin x .
Proof. Write cos x = sin ( ◆ L B ◆ π ◆ R B ◆◆ L B ◆ 2 ◆ R B ◆ − x ) \cos x = \sin\!\left(\dfrac◆LB◆\pi◆RB◆◆LB◆2◆RB◆ - x\right) cos x = sin ( L ◆ B ◆ π ◆ R B ◆◆ L B ◆2◆ R B ◆ − x ) . By the chain rule:
d d x cos x = cos ( ◆ L B ◆ π ◆ R B ◆◆ L B ◆ 2 ◆ R B ◆ − x ) ⋅ ( − 1 ) = − sin x ■ \frac{d}{dx}\cos x = \cos\!\left(\frac◆LB◆\pi◆RB◆◆LB◆2◆RB◆-x\right) \cdot (-1) = -\sin x \quad \blacksquare d x d cos x = cos ( L ◆ B ◆ π ◆ R B ◆◆ L B ◆2◆ R B ◆ − x ) ⋅ ( − 1 ) = − sin x ■
6.3 Derivative of e x e^x e x
As proved in the Exponentials and Logarithms chapter: d d x e x = e x \dfrac{d}{dx}e^x = e^x d x d e x = e x .
6.4 Derivative of ln x \ln x ln x
From the Fundamental Theorem of Calculus applied to ln x = ∫ 1 x 1 t d t \ln x = \displaystyle\int_1^x \frac{1}{t}\,dt ln x = ∫ 1 x t 1 d t :
d d x ln x = 1 x \frac{d}{dx}\ln x = \frac{1}{x} d x d ln x = x 1
6.5 Derivative of tan x \tan x tan x
d d x tan x = d d x ( ◆ L B ◆ sin x ◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ ) = ◆ L B ◆ cos x ⋅ cos x − sin x ⋅ ( − sin x ) ◆ R B ◆◆ L B ◆ cos 2 x ◆ R B ◆ = ◆ L B ◆ cos 2 x + sin 2 x ◆ R B ◆◆ L B ◆ cos 2 x ◆ R B ◆ = sec 2 x \frac{d}{dx}\tan x = \frac{d}{dx}\left(\frac◆LB◆\sin x◆RB◆◆LB◆\cos x◆RB◆\right) = \frac◆LB◆\cos x \cdot \cos x - \sin x \cdot (-\sin x)◆RB◆◆LB◆\cos^2 x◆RB◆ = \frac◆LB◆\cos^2 x + \sin^2 x◆RB◆◆LB◆\cos^2 x◆RB◆ = \sec^2 x d x d tan x = d x d ( L ◆ B ◆ sin x ◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ ) = L ◆ B ◆ cos x ⋅ cos x − sin x ⋅ ( − sin x ) ◆ R B ◆◆ L B ◆ cos 2 x ◆ R B ◆ = L ◆ B ◆ cos 2 x + sin 2 x ◆ R B ◆◆ L B ◆ cos 2 x ◆ R B ◆ = sec 2 x
6.6 Summary table
f ( x ) f(x) f ( x ) f ′ ( x ) f'(x) f ′ ( x ) x n x^n x n n x n − 1 nx^{n-1} n x n − 1 e x e^x e x e x e^x e x e k x e^{kx} e k x k e k x ke^{kx} k e k x ln x \ln x ln x 1 / x 1/x 1/ x sin x \sin x sin x cos x \cos x cos x cos x \cos x cos x − sin x -\sin x − sin x tan x \tan x tan x sec 2 x \sec^2 x sec 2 x
7. Second Derivatives and Stationary Points
7.1 Definition
The second derivative is the derivative of the first derivative:
f ′ ′ ( x ) = d 2 y d x 2 = d d x ( d y d x ) f''(x) = \frac{d^2y}{dx^2} = \frac{d}{dx}\left(\frac{dy}{dx}\right) f ′′ ( x ) = d x 2 d 2 y = d x d ( d x d y )
7.2 Stationary points
Definition. A point x = a x = a x = a is a stationary point of f f f if f ′ ( a ) = 0 f'(a) = 0 f ′ ( a ) = 0 .
There are three types:
Type Condition Shape Maximum f ′ ( a ) = 0 f'(a) = 0 f ′ ( a ) = 0 , f ′ ′ ( a ) < 0 f''(a) \lt{} 0 f ′′ ( a ) < 0 ∩ \cap ∩ Minimum f ′ ( a ) = 0 f'(a) = 0 f ′ ( a ) = 0 , f ′ ′ ( a ) > 0 f''(a) \gt{} 0 f ′′ ( a ) > 0 ∪ \cup ∪ Point of inflection f ′ ( a ) = 0 f'(a) = 0 f ′ ( a ) = 0 , f ′ ′ ( a ) = 0 f''(a) = 0 f ′′ ( a ) = 0 (may be)S-shape
7.3 Proof of the second derivative test (Taylor expansion intuition)
Near a stationary point x = a x = a x = a , we can approximate f f f using its Taylor expansion:
f ( x ) ≈ f ( a ) + f ′ ( a ) ( x − a ) + f ′ ′ ( a ) 2 ( x − a ) 2 f(x) \approx f(a) + f'(a)(x-a) + \frac{f''(a)}{2}(x-a)^2 f ( x ) ≈ f ( a ) + f ′ ( a ) ( x − a ) + 2 f ′′ ( a ) ( x − a ) 2
Since f ′ ( a ) = 0 f'(a) = 0 f ′ ( a ) = 0 at a stationary point:
f ( x ) − f ( a ) ≈ f ′ ′ ( a ) 2 ( x − a ) 2 f(x) - f(a) \approx \frac{f''(a)}{2}(x-a)^2 f ( x ) − f ( a ) ≈ 2 f ′′ ( a ) ( x − a ) 2
If f ′ ′ ( a ) > 0 f''(a) \gt{} 0 f ′′ ( a ) > 0 : f ( x ) − f ( a ) > 0 f(x) - f(a) \gt{} 0 f ( x ) − f ( a ) > 0 for x ≠ a x \neq a x = a , so f ( a ) f(a) f ( a ) is a minimum .
If f ′ ′ ( a ) < 0 f''(a) \lt{} 0 f ′′ ( a ) < 0 : f ( x ) − f ( a ) < 0 f(x) - f(a) \lt{} 0 f ( x ) − f ( a ) < 0 for x ≠ a x \neq a x = a , so f ( a ) f(a) f ( a ) is a maximum .
If f ′ ′ ( a ) = 0 f''(a) = 0 f ′′ ( a ) = 0 : the test is inconclusive; use a nature table or higher derivatives.
warning
point could still be a maximum, minimum, or inflection. Always use a nature table (checking the sign
of f ′ f' f ′ on either side) if the second derivative test is inconclusive.
Function, Derivative, and Tangent Line
Observe how the
derivative relates to the gradient of the tangent line. Move the point along the curve to see how
the tangent changes slope, and note where the derivative is zero at stationary points.
8. Connected Rates of Change
When two quantities are related by an equation, their rates of change are related by the chain rule.
Method:
Write down the relationship between the variables.
Differentiate both sides with respect to t t t (time).
Substitute known values and solve for the unknown rate.
Example. The radius r r r of a circle increases at 2 c m / s 2\,\mathrm{cm/s} 2 cm/s . Find the rate of change of
the area when r = 5 r = 5 r = 5 .
A = π r 2 A = \pi r^2 A = π r 2 . Differentiating with respect to t t t :
d A d t = 2 π r d r d t \frac{dA}{dt} = 2\pi r \frac{dr}{dt} d t d A = 2 π r d t d r
At r = 5 r = 5 r = 5 , d r d t = 2 \dfrac{dr}{dt} = 2 d t d r = 2 :
d A d t = 2 π ( 5 ) ( 2 ) = 20 π c m 2 / s \frac{dA}{dt} = 2\pi(5)(2) = 20\pi \,\mathrm{cm}^2\mathrm{/s} d t d A = 2 π ( 5 ) ( 2 ) = 20 π cm 2 /s
9. Increasing and Decreasing Functions
Definition.
f f f is increasing on an interval if f ′ ( x ) ≥ 0 f'(x) \geq 0 f ′ ( x ) ≥ 0 for all x x x in that interval.
f f f is strictly increasing if f ′ ( x ) > 0 f'(x) \gt{} 0 f ′ ( x ) > 0 for all x x x .
f f f is decreasing if f ′ ( x ) ≤ 0 f'(x) \leq 0 f ′ ( x ) ≤ 0 for all x x x .
f f f is strictly decreasing if f ′ ( x ) < 0 f'(x) \lt{} 0 f ′ ( x ) < 0 for all x x x .
Example. Show that f ( x ) = x 3 − 3 x + 2 f(x) = x^3 - 3x + 2 f ( x ) = x 3 − 3 x + 2 is increasing for x > 1 x \gt{} 1 x > 1 .
f ′ ( x ) = 3 x 2 − 3 = 3 ( x 2 − 1 ) = 3 ( x − 1 ) ( x + 1 ) f'(x) = 3x^2 - 3 = 3(x^2 - 1) = 3(x-1)(x+1) f ′ ( x ) = 3 x 2 − 3 = 3 ( x 2 − 1 ) = 3 ( x − 1 ) ( x + 1 ) .
For x > 1 x \gt{} 1 x > 1 : ( x − 1 ) > 0 (x-1) \gt{} 0 ( x − 1 ) > 0 and ( x + 1 ) > 0 (x+1) \gt{} 0 ( x + 1 ) > 0 , so f ′ ( x ) > 0 f'(x) \gt{} 0 f ′ ( x ) > 0 . Hence f f f is strictly
increasing for x > 1 x \gt{} 1 x > 1 .
tip
inequality. When asked to "show that a function is increasing", verify that f ′ ( x ) > 0 f'(x) \gt{} 0 f ′ ( x ) > 0 (or
≥ 0 \geq 0 ≥ 0 ) on the given interval.
10. Points of Inflection
A point of inflection is where the curve changes concavity (from concave up to concave down, or
vice versa). This occurs where f ′ ′ ( x ) = 0 f''(x) = 0 f ′′ ( x ) = 0 and the sign of f ′ ′ ( x ) f''(x) f ′′ ( x ) changes.
warning
point of inflection at x = 0 x = 0 x = 0 , but f ′ ( 0 ) = 0 f'(0) = 0 f ′ ( 0 ) = 0 in this case. Consider f ( x ) = x 3 + x f(x) = x^3 + x f ( x ) = x 3 + x :
f ′ ′ ( x ) = 6 x = 0 f''(x) = 6x = 0 f ′′ ( x ) = 6 x = 0 at x = 0 x = 0 x = 0 , giving a point of inflection, but f ′ ( 0 ) = 1 ≠ 0 f'(0) = 1 \neq 0 f ′ ( 0 ) = 1 = 0 .
11. Differentiation of Parametric Equations
If x = x ( t ) x = x(t) x = x ( t ) and y = y ( t ) y = y(t) y = y ( t ) , then
d y d x = d y / d t d x / d t \frac{dy}{dx} = \frac{dy/dt}{dx/dt} d x d y = d x / d t d y / d t
Example. x = 2 cos t x = 2\cos t x = 2 cos t , y = 2 sin t y = 2\sin t y = 2 sin t . Find d y d x \dfrac{dy}{dx} d x d y at t = π / 4 t = \pi/4 t = π /4 .
d x d t = − 2 sin t , d y d t = 2 cos t \frac{dx}{dt} = -2\sin t, \quad \frac{dy}{dt} = 2\cos t d t d x = − 2 sin t , d t d y = 2 cos t
d y d x = ◆ L B ◆ 2 cos t ◆ R B ◆◆ L B ◆ − 2 sin t ◆ R B ◆ = − cot t \frac{dy}{dx} = \frac◆LB◆2\cos t◆RB◆◆LB◆-2\sin t◆RB◆ = -\cot t d x d y = L ◆ B ◆2 cos t ◆ R B ◆◆ L B ◆ − 2 sin t ◆ R B ◆ = − cot t
At t = π / 4 t = \pi/4 t = π /4 : d y d x = − cot ( π / 4 ) = − 1 \dfrac{dy}{dx} = -\cot(\pi/4) = -1 d x d y = − cot ( π /4 ) = − 1 .
12. Implicit Differentiation
When y y y is defined implicitly by an equation F ( x , y ) = 0 F(x,y) = 0 F ( x , y ) = 0 , differentiate both sides with respect to
x x x , treating y y y as a function of x x x .
Example. Find d y d x \dfrac{dy}{dx} d x d y where x 2 + y 2 = 25 x^2 + y^2 = 25 x 2 + y 2 = 25 .
Differentiating: 2 x + 2 y d y d x = 0 2x + 2y\dfrac{dy}{dx} = 0 2 x + 2 y d x d y = 0 , so d y d x = − x y \dfrac{dy}{dx} = -\dfrac{x}{y} d x d y = − y x .
Problem Set
Details
Problem 1
Differentiate
f ( x ) = x f(x) = \sqrt{x} f ( x ) = x from first principles.
Details
Solution 1
f ′ ( x ) = lim h → 0 ◆ L B ◆ x + h − x ◆ R B ◆◆ L B ◆ h ◆ R B ◆ ⋅ ◆ L B ◆ x + h + x ◆ R B ◆◆ L B ◆ x + h + x ◆ R B ◆ = lim h → 0 ◆ L B ◆ ( x + h ) − x ◆ R B ◆◆ L B ◆ h ( x + h + x ) ◆ R B ◆ = lim h → 0 ◆ L B ◆ 1 ◆ R B ◆◆ L B ◆ x + h + x ◆ R B ◆ = ◆ L B ◆ 1 ◆ R B ◆◆ L B ◆ 2 x ◆ R B ◆ f'(x) = \lim_{h\to 0}\frac◆LB◆\sqrt{x+h}-\sqrt{x}◆RB◆◆LB◆h◆RB◆ \cdot \frac◆LB◆\sqrt{x+h}+\sqrt{x}◆RB◆◆LB◆\sqrt{x+h}+\sqrt{x}◆RB◆ = \lim_{h\to 0}\frac◆LB◆(x+h)-x◆RB◆◆LB◆h(\sqrt{x+h}+\sqrt{x})◆RB◆ = \lim_{h\to 0}\frac◆LB◆1◆RB◆◆LB◆\sqrt{x+h}+\sqrt{x}◆RB◆ = \frac◆LB◆1◆RB◆◆LB◆2\sqrt{x}◆RB◆ f ′ ( x ) = lim h → 0 L ◆ B ◆ x + h − x ◆ R B ◆◆ L B ◆ h ◆ R B ◆ ⋅ L ◆ B ◆ x + h + x ◆ R B ◆◆ L B ◆ x + h + x ◆ R B ◆ = lim h → 0 L ◆ B ◆ ( x + h ) − x ◆ R B ◆◆ L B ◆ h ( x + h + x ) ◆ R B ◆ = lim h → 0 L ◆ B ◆1◆ R B ◆◆ L B ◆ x + h + x ◆ R B ◆ = L ◆ B ◆1◆ R B ◆◆ L B ◆2 x ◆ R B ◆
If you get this wrong, revise:
The Derivative from First Principles — Section 1.
Details
Problem 2
Find the stationary points of
f ( x ) = x 3 − 6 x 2 + 9 x + 1 f(x) = x^3 - 6x^2 + 9x + 1 f ( x ) = x 3 − 6 x 2 + 9 x + 1 and determine their nature.
Details
Solution 2
f ′ ( x ) = 3 x 2 − 12 x + 9 = 3 ( x 2 − 4 x + 3 ) = 3 ( x − 1 ) ( x − 3 ) f'(x) = 3x^2 - 12x + 9 = 3(x^2 - 4x + 3) = 3(x-1)(x-3) f ′ ( x ) = 3 x 2 − 12 x + 9 = 3 ( x 2 − 4 x + 3 ) = 3 ( x − 1 ) ( x − 3 ) .
Stationary points at x = 1 x = 1 x = 1 and x = 3 x = 3 x = 3 .
f ′ ′ ( x ) = 6 x − 12 f''(x) = 6x - 12 f ′′ ( x ) = 6 x − 12 . At x = 1 x = 1 x = 1 : f ′ ′ ( 1 ) = − 6 < 0 f''(1) = -6 \lt{} 0 f ′′ ( 1 ) = − 6 < 0 , so local maximum .
f ( 1 ) = 1 − 6 + 9 + 1 = 5 f(1) = 1 - 6 + 9 + 1 = 5 f ( 1 ) = 1 − 6 + 9 + 1 = 5 . At x = 3 x = 3 x = 3 : f ′ ′ ( 3 ) = 6 > 0 f''(3) = 6 \gt{} 0 f ′′ ( 3 ) = 6 > 0 , so local minimum .
f ( 3 ) = 27 − 54 + 27 + 1 = 1 f(3) = 27 - 54 + 27 + 1 = 1 f ( 3 ) = 27 − 54 + 27 + 1 = 1 .
If you get this wrong, revise:
Second Derivatives and Stationary Points — Section 7.
Details
Problem 3
Differentiate
y = ◆ L B ◆ x 2 e x ◆ R B ◆◆ L B ◆ sin x ◆ R B ◆ y = \dfrac◆LB◆x^2 e^x◆RB◆◆LB◆\sin x◆RB◆ y = L ◆ B ◆ x 2 e x ◆ R B ◆◆ L B ◆ sin x ◆ R B ◆ .
Details
Solution 3
Let
u = x 2 e x u = x^2 e^x u = x 2 e x and
v = sin x v = \sin x v = sin x .
u ′ = 2 x e x + x 2 e x = e x ( x 2 + 2 x ) u' = 2xe^x + x^2 e^x = e^x(x^2 + 2x) u ′ = 2 x e x + x 2 e x = e x ( x 2 + 2 x ) (product rule). v ′ = cos x v' = \cos x v ′ = cos x .
d y d x = ◆ L B ◆ e x ( x 2 + 2 x ) sin x − x 2 e x cos x ◆ R B ◆◆ L B ◆ sin 2 x ◆ R B ◆ = ◆ L B ◆ x e x [ ( x + 2 ) sin x − x cos x ] ◆ R B ◆◆ L B ◆ sin 2 x ◆ R B ◆ \frac{dy}{dx} = \frac◆LB◆e^x(x^2+2x)\sin x - x^2 e^x \cos x◆RB◆◆LB◆\sin^2 x◆RB◆ = \frac◆LB◆xe^x[(x+2)\sin x - x\cos x]◆RB◆◆LB◆\sin^2 x◆RB◆ d x d y = L ◆ B ◆ e x ( x 2 + 2 x ) sin x − x 2 e x cos x ◆ R B ◆◆ L B ◆ sin 2 x ◆ R B ◆ = L ◆ B ◆ x e x [( x + 2 ) sin x − x cos x ] ◆ R B ◆◆ L B ◆ sin 2 x ◆ R B ◆
If you get this wrong, revise: The Quotient Rule — Section 4 and
The Product Rule — Section 3.
Details
Problem 4
Find
d y d x \dfrac{dy}{dx} d x d y where
x 3 + y 3 = 3 x y x^3 + y^3 = 3xy x 3 + y 3 = 3 x y .
Details
Solution 4
Differentiating implicitly:
3 x 2 + 3 y 2 d y d x = 3 y + 3 x d y d x 3x^2 + 3y^2\dfrac{dy}{dx} = 3y + 3x\dfrac{dy}{dx} 3 x 2 + 3 y 2 d x d y = 3 y + 3 x d x d y .
3 y 2 d y d x − 3 x d y d x = 3 y − 3 x 2 3y^2\frac{dy}{dx} - 3x\frac{dy}{dx} = 3y - 3x^2 3 y 2 d x d y − 3 x d x d y = 3 y − 3 x 2 d y d x ( y 2 − x ) = y − x 2 \frac{dy}{dx}(y^2 - x) = y - x^2 d x d y ( y 2 − x ) = y − x 2
d y d x = y − x 2 y 2 − x \frac{dy}{dx} = \frac{y - x^2}{y^2 - x} d x d y = y 2 − x y − x 2
If you get this wrong, revise: Implicit Differentiation —
Section 12.
Details
Problem 5
A spherical balloon is being inflated at a rate of
100 c m 3 / s 100\,\mathrm{cm}^3\mathrm{/s} 100 cm 3 /s . Find the rate of increase of the radius when the radius is
5 c m 5\,\mathrm{cm} 5 cm .
Details
Solution 5
V = 4 3 π r 3 V = \dfrac{4}{3}\pi r^3 V = 3 4 π r 3 . Differentiating with respect to
t t t :
d V d t = 4 π r 2 d r d t \frac{dV}{dt} = 4\pi r^2 \frac{dr}{dt} d t d V = 4 π r 2 d t d r
At r = 5 r = 5 r = 5 with d V d t = 100 \dfrac{dV}{dt} = 100 d t d V = 100 :
100 = 4 π ( 25 ) d r d t ⟹ d r d t = ◆ L B ◆ 100 ◆ R B ◆◆ L B ◆ 100 π ◆ R B ◆ = ◆ L B ◆ 1 ◆ R B ◆◆ L B ◆ π ◆ R B ◆ ≈ 0.318 c m / s 100 = 4\pi(25)\frac{dr}{dt} \implies \frac{dr}{dt} = \frac◆LB◆100◆RB◆◆LB◆100\pi◆RB◆ = \frac◆LB◆1◆RB◆◆LB◆\pi◆RB◆ \approx 0.318 \,\mathrm{cm/s} 100 = 4 π ( 25 ) d t d r ⟹ d t d r = L ◆ B ◆100◆ R B ◆◆ L B ◆100 π ◆ R B ◆ = L ◆ B ◆1◆ R B ◆◆ L B ◆ π ◆ R B ◆ ≈ 0.318 cm/s
If you get this wrong, revise: Connected Rates of Change —
Section 8.
Details
Problem 6
Show that
f ( x ) = e x + e − x f(x) = e^x + e^{-x} f ( x ) = e x + e − x is strictly increasing for
x > 0 x \gt{} 0 x > 0 .
Details
Solution 6
f ′ ( x ) = e x − e − x f'(x) = e^x - e^{-x} f ′ ( x ) = e x − e − x .
For x > 0 x \gt{} 0 x > 0 : e x > 1 > e − x e^x \gt{} 1 \gt{} e^{-x} e x > 1 > e − x , so e x − e − x > 0 e^x - e^{-x} \gt{} 0 e x − e − x > 0 . Hence f ′ ( x ) > 0 f'(x) \gt{} 0 f ′ ( x ) > 0 for
all x > 0 x \gt{} 0 x > 0 , so f f f is strictly increasing on ( 0 , ∞ ) (0, \infty) ( 0 , ∞ ) .
If you get this wrong, revise:
Increasing and Decreasing Functions — Section 9.
Details
Problem 7
Find the equation of the tangent to
y = ln x y = \ln x y = ln x at the point where
x = e x = e x = e .
Details
Solution 7
At
x = e x = e x = e :
y = ln e = 1 y = \ln e = 1 y = ln e = 1 . The point is
( e , 1 ) (e, 1) ( e , 1 ) .
d y d x = 1 x \dfrac{dy}{dx} = \dfrac{1}{x} d x d y = x 1 , so at x = e x = e x = e : gradient m = 1 e m = \dfrac{1}{e} m = e 1 .
y − 1 = 1 e ( x − e ) ⟹ y = x e y - 1 = \frac{1}{e}(x - e) \implies y = \frac{x}{e} y − 1 = e 1 ( x − e ) ⟹ y = e x
If you get this wrong, revise:
Derivatives of Standard Functions — Section 6.
Details
Problem 8
Given
x = t 2 + 1 x = t^2 + 1 x = t 2 + 1 and
y = t 3 − 3 t y = t^3 - 3t y = t 3 − 3 t , find the coordinates of the stationary points and determine their nature.
Details
Solution 8
d y d x = d y / d t d x / d t = 3 t 2 − 3 2 t = 3 ( t 2 − 1 ) 2 t \dfrac{dy}{dx} = \dfrac{dy/dt}{dx/dt} = \dfrac{3t^2 - 3}{2t} = \dfrac{3(t^2-1)}{2t} d x d y = d x / d t d y / d t = 2 t 3 t 2 − 3 = 2 t 3 ( t 2 − 1 ) .
Stationary when d y / d x = 0 dy/dx = 0 d y / d x = 0 : t 2 = 1 ⟹ t = ± 1 t^2 = 1 \implies t = \pm 1 t 2 = 1 ⟹ t = ± 1 .
t = 1 t = 1 t = 1 : x = 2 x = 2 x = 2 , y = − 2 y = -2 y = − 2 . Point ( 2 , − 2 ) (2, -2) ( 2 , − 2 ) . t = − 1 t = -1 t = − 1 : x = 2 x = 2 x = 2 , y = 2 y = 2 y = 2 . Point ( 2 , 2 ) (2, 2) ( 2 , 2 ) .
For nature, check d 2 y d x 2 \dfrac{d^2y}{dx^2} d x 2 d 2 y or the sign of d y d x \dfrac{dy}{dx} d x d y :
Near t = 1 t = 1 t = 1 : for t = 0.5 t = 0.5 t = 0.5 , d y d x = 3 ( 0.25 − 1 ) 1 = − 9 4 < 0 \dfrac{dy}{dx} = \dfrac{3(0.25-1)}{1} = -\dfrac{9}{4} \lt{} 0 d x d y = 1 3 ( 0.25 − 1 ) = − 4 9 < 0 ; for
t = 2 t = 2 t = 2 , d y d x = 3 ( 4 − 1 ) 4 > 0 \dfrac{dy}{dx} = \dfrac{3(4-1)}{4} \gt{} 0 d x d y = 4 3 ( 4 − 1 ) > 0 . So t = 1 t=1 t = 1 is a minimum .
Near t = − 1 t = -1 t = − 1 : for t = − 2 t = -2 t = − 2 , d y d x < 0 \dfrac{dy}{dx} \lt{} 0 d x d y < 0 ; for t = − 0.5 t = -0.5 t = − 0.5 , d y d x > 0 \dfrac{dy}{dx} \gt{} 0 d x d y > 0 . So
t = − 1 t=-1 t = − 1 is a minimum .
If you get this wrong, revise:
Differentiation of Parametric Equations — Section 11.
Details
Problem 9
Prove that
d d x sec x = sec x tan x \dfrac{d}{dx}\sec x = \sec x \tan x d x d sec x = sec x tan x .
Details
Solution 9
sec x = ◆ L B ◆ 1 ◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ = ( cos x ) − 1 \sec x = \dfrac◆LB◆1◆RB◆◆LB◆\cos x◆RB◆ = (\cos x)^{-1} sec x = L ◆ B ◆1◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ = ( cos x ) − 1 .
d d x sec x = − ( cos x ) − 2 ⋅ ( − sin x ) = ◆ L B ◆ sin x ◆ R B ◆◆ L B ◆ cos 2 x ◆ R B ◆ = ◆ L B ◆ 1 ◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ ⋅ ◆ L B ◆ sin x ◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ = sec x tan x ■ \frac{d}{dx}\sec x = -(\cos x)^{-2} \cdot (-\sin x) = \frac◆LB◆\sin x◆RB◆◆LB◆\cos^2 x◆RB◆ = \frac◆LB◆1◆RB◆◆LB◆\cos x◆RB◆ \cdot \frac◆LB◆\sin x◆RB◆◆LB◆\cos x◆RB◆ = \sec x \tan x \quad \blacksquare d x d sec x = − ( cos x ) − 2 ⋅ ( − sin x ) = L ◆ B ◆ sin x ◆ R B ◆◆ L B ◆ cos 2 x ◆ R B ◆ = L ◆ B ◆1◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ ⋅ L ◆ B ◆ sin x ◆ R B ◆◆ L B ◆ cos x ◆ R B ◆ = sec x tan x ■
If you get this wrong, revise: The Chain Rule — Section 5.
Details
Problem 10
Find the minimum value of
f ( x ) = x + 4 x f(x) = x + \dfrac{4}{x} f ( x ) = x + x 4 for
x > 0 x \gt{} 0 x > 0 .
Details
Solution 10
f ′ ( x ) = 1 − 4 x 2 = x 2 − 4 x 2 = 0 ⟹ x 2 = 4 ⟹ x = 2 f'(x) = 1 - \dfrac{4}{x^2} = \dfrac{x^2 - 4}{x^2} = 0 \implies x^2 = 4 \implies x = 2 f ′ ( x ) = 1 − x 2 4 = x 2 x 2 − 4 = 0 ⟹ x 2 = 4 ⟹ x = 2 (since
x > 0 x \gt{} 0 x > 0 ).
f ′ ′ ( x ) = 8 x 3 f''(x) = \dfrac{8}{x^3} f ′′ ( x ) = x 3 8 . At x = 2 x = 2 x = 2 : f ′ ′ ( 2 ) = 1 > 0 f''(2) = 1 \gt{} 0 f ′′ ( 2 ) = 1 > 0 , so minimum.
f ( 2 ) = 2 + 4 2 = 4 f(2) = 2 + \dfrac{4}{2} = 4 f ( 2 ) = 2 + 2 4 = 4 .
If you get this wrong, revise:
Second Derivatives and Stationary Points — Section 7.
Details
Problem 11
Differentiate
y = sin 3 ( 2 x 2 + 1 ) y = \sin^3(2x^2 + 1) y = sin 3 ( 2 x 2 + 1 ) .
Details
Solution 11
Let
u = sin ( 2 x 2 + 1 ) u = \sin(2x^2+1) u = sin ( 2 x 2 + 1 ) , so
y = u 3 y = u^3 y = u 3 .
d y d u = 3 u 2 \dfrac{dy}{du} = 3u^2 d u d y = 3 u 2 , d u d x = cos ( 2 x 2 + 1 ) ⋅ 4 x \dfrac{du}{dx} = \cos(2x^2+1) \cdot 4x d x d u = cos ( 2 x 2 + 1 ) ⋅ 4 x .
d y d x = 3 sin 2 ( 2 x 2 + 1 ) ⋅ cos ( 2 x 2 + 1 ) ⋅ 4 x = 12 x sin 2 ( 2 x 2 + 1 ) cos ( 2 x 2 + 1 ) \frac{dy}{dx} = 3\sin^2(2x^2+1) \cdot \cos(2x^2+1) \cdot 4x = 12x\sin^2(2x^2+1)\cos(2x^2+1) d x d y = 3 sin 2 ( 2 x 2 + 1 ) ⋅ cos ( 2 x 2 + 1 ) ⋅ 4 x = 12 x sin 2 ( 2 x 2 + 1 ) cos ( 2 x 2 + 1 )
If you get this wrong, revise: The Chain Rule — Section 5.
Details
Problem 12
Find the points of inflection of
f ( x ) = x 4 − 4 x 3 + 6 x 2 − 4 x + 1 f(x) = x^4 - 4x^3 + 6x^2 - 4x + 1 f ( x ) = x 4 − 4 x 3 + 6 x 2 − 4 x + 1 .
Details
Solution 12
f ′ ( x ) = 4 x 3 − 12 x 2 + 12 x − 4 f'(x) = 4x^3 - 12x^2 + 12x - 4 f ′ ( x ) = 4 x 3 − 12 x 2 + 12 x − 4 .
f ′ ′ ( x ) = 12 x 2 − 24 x + 12 = 12 ( x 2 − 2 x + 1 ) = 12 ( x − 1 ) 2 f''(x) = 12x^2 - 24x + 12 = 12(x^2 - 2x + 1) = 12(x-1)^2 f ′′ ( x ) = 12 x 2 − 24 x + 12 = 12 ( x 2 − 2 x + 1 ) = 12 ( x − 1 ) 2 .
f ′ ′ ( x ) = 0 f''(x) = 0 f ′′ ( x ) = 0 when x = 1 x = 1 x = 1 . But f ′ ′ ( x ) = 12 ( x − 1 ) 2 ≥ 0 f''(x) = 12(x-1)^2 \geq 0 f ′′ ( x ) = 12 ( x − 1 ) 2 ≥ 0 for all x x x — the second derivative does
not change sign at x = 1 x = 1 x = 1 . So there is no point of inflection .
(Note: f ( x ) = ( x − 1 ) 4 f(x) = (x-1)^4 f ( x ) = ( x − 1 ) 4 , which is concave up everywhere.)
If you get this wrong, revise: Points of Inflection — Section 10.
Details
Problem 13
A curve has equation
y = 2 x + 1 x − 3 y = \dfrac{2x+1}{x-3} y = x − 3 2 x + 1 . Find the equations of the asymptotes and the coordinates of any stationary points.
Details
Solution 13
Vertical asymptote:
x = 3 x = 3 x = 3 (where denominator is zero).
As x → ± ∞ x \to \pm\infty x → ± ∞ : y → 2 y \to 2 y → 2 . Horizontal asymptote: y = 2 y = 2 y = 2 .
y ′ = 2 ( x − 3 ) − ( 2 x + 1 ) ( x − 3 ) 2 = − 7 ( x − 3 ) 2 y' = \dfrac{2(x-3) - (2x+1)}{(x-3)^2} = \dfrac{-7}{(x-3)^2} y ′ = ( x − 3 ) 2 2 ( x − 3 ) − ( 2 x + 1 ) = ( x − 3 ) 2 − 7 .
Since y ′ < 0 y' \lt{} 0 y ′ < 0 for all x ≠ 3 x \neq 3 x = 3 , there are no stationary points . The function is strictly
decreasing on each branch.
If you get this wrong, revise: The Quotient Rule — Section 4 and
Stationary Points — Section 7.2.
Details
Problem 14
Water flows into a cone of height
h h h and base radius
r r r at a rate of
5 c m 3 / s 5\,\mathrm{cm}^3\mathrm{/s} 5 cm 3 /s . The cone has semi-vertical angle
30 ∘ 30^\circ 3 0 ∘ . Find
d h / d t dh/dt d h / d t when
h = 10 c m h = 10\,\mathrm{cm} h = 10 cm .
Details
Solution 14
With semi-vertical angle
30 ∘ 30^\circ 3 0 ∘ :
r = h tan 30 ° = h / 3 r = h\tan 30° = h/\sqrt{3} r = h tan 30° = h / 3 .
V = 1 3 π r 2 h = 1 3 π h 2 3 h = ◆ L B ◆ π h 3 ◆ R B ◆◆ L B ◆ 9 ◆ R B ◆ V = \dfrac{1}{3}\pi r^2 h = \dfrac{1}{3}\pi \dfrac{h^2}{3} h = \dfrac◆LB◆\pi h^3◆RB◆◆LB◆9◆RB◆ V = 3 1 π r 2 h = 3 1 π 3 h 2 h = L ◆ B ◆ π h 3 ◆ R B ◆◆ L B ◆9◆ R B ◆ .
d V d t = ◆ L B ◆ π h 2 ◆ R B ◆◆ L B ◆ 3 ◆ R B ◆ ⋅ d h d t \frac{dV}{dt} = \frac◆LB◆\pi h^2◆RB◆◆LB◆3◆RB◆ \cdot \frac{dh}{dt} d t d V = L ◆ B ◆ π h 2 ◆ R B ◆◆ L B ◆3◆ R B ◆ ⋅ d t d h
At h = 10 h = 10 h = 10 with d V / d t = 5 dV/dt = 5 d V / d t = 5 :
5 = ◆ L B ◆ 100 π ◆ R B ◆◆ L B ◆ 3 ◆ R B ◆ ⋅ d h d t ⟹ d h d t = ◆ L B ◆ 15 ◆ R B ◆◆ L B ◆ 100 π ◆ R B ◆ = ◆ L B ◆ 3 ◆ R B ◆◆ L B ◆ 20 π ◆ R B ◆ ≈ 0.0478 c m / s 5 = \frac◆LB◆100\pi◆RB◆◆LB◆3◆RB◆ \cdot \frac{dh}{dt} \implies \frac{dh}{dt} = \frac◆LB◆15◆RB◆◆LB◆100\pi◆RB◆ = \frac◆LB◆3◆RB◆◆LB◆20\pi◆RB◆ \approx 0.0478 \,\mathrm{cm/s} 5 = L ◆ B ◆100 π ◆ R B ◆◆ L B ◆3◆ R B ◆ ⋅ d t d h ⟹ d t d h = L ◆ B ◆15◆ R B ◆◆ L B ◆100 π ◆ R B ◆ = L ◆ B ◆3◆ R B ◆◆ L B ◆20 π ◆ R B ◆ ≈ 0.0478 cm/s
If you get this wrong, revise: Connected Rates of Change —
Section 8.
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