Limits and Continuity Intuitive Notion of a Limit The limit of a function f ( x ) f(x) f ( x ) as x x x approaches a a a is the value that f ( x ) f(x) f ( x ) approaches, regardless Of whether f ( a ) f(a) f ( a ) is defined:
lim x → a f ( x ) = L \lim_{x \to a} f(x) = L x → a lim f ( x ) = L This means that as x x x gets arbitrarily close to a a a , f ( x ) f(x) f ( x ) gets arbitrarily close to L L L .
Left-Hand and Right-Hand Limits A two-sided limit exists if and only if both one-sided limits exist and are equal:
lim x → a f ( x ) = L ⟺ lim x → a − f ( x ) = lim x → a + f ( x ) = L \lim_{x \to a} f(x) = L \iff \lim_{x \to a^-} f(x) = \lim_{x \to a^+} f(x) = L x → a lim f ( x ) = L ⟺ x → a − lim f ( x ) = x → a + lim f ( x ) = L Example
Find lim x → 0 ∣ x ∣ x \displaystyle\lim_{x \to 0} \frac{|x|}{x} x → 0 lim x ∣ x ∣ .
lim x → 0 − ∣ x ∣ x = lim x → 0 − − x x = − 1 \lim_{x \to 0^-} \frac{|x|}{x} = \lim_{x \to 0^-} \frac{-x}{x} = -1 x → 0 − lim x ∣ x ∣ = x → 0 − lim x − x = − 1 lim x → 0 + ∣ x ∣ x = lim x → 0 + x x = 1 \lim_{x \to 0^+} \frac{|x|}{x} = \lim_{x \to 0^+} \frac{x}{x} = 1 x → 0 + lim x ∣ x ∣ = x → 0 + lim x x = 1 Since the one-sided limits are not equal, the limit does not exist.
Limit Value lim x → 0 sin x x \displaystyle\lim_{x \to 0} \frac{\sin x}{x} x → 0 lim x sin x 1 1 1 lim x → 0 1 − cos x x \displaystyle\lim_{x \to 0} \frac{1 - \cos x}{x} x → 0 lim x 1 − cos x 0 0 0 lim x → ∞ 1 x \displaystyle\lim_{x \to \infty} \frac{1}{x} x → ∞ lim x 1 0 0 0 lim x → ∞ ( 1 + 1 x ) x \displaystyle\lim_{x \to \infty} \left(1 + \frac{1}{x}\right)^x x → ∞ lim ( 1 + x 1 ) x e e e lim x → 0 e x − 1 x \displaystyle\lim_{x \to 0} \frac{e^x - 1}{x} x → 0 lim x e x − 1 1 1 1 lim x → 0 ln ( 1 + x ) x \displaystyle\lim_{x \to 0} \frac{\ln(1+x)}{x} x → 0 lim x ln ( 1 + x ) 1 1 1
The Squeeze Theorem If g ( x ) ≤ f ( x ) ≤ h ( x ) g(x) \le f(x) \le h(x) g ( x ) ≤ f ( x ) ≤ h ( x ) for all x x x near a a a (except possibly at a a a ), and:
lim x → a g ( x ) = lim x → a h ( x ) = L \lim_{x \to a} g(x) = \lim_{x \to a} h(x) = L x → a lim g ( x ) = x → a lim h ( x ) = L Then lim x → a f ( x ) = L \displaystyle\lim_{x \to a} f(x) = L x → a lim f ( x ) = L .
Example
Show that lim x → 0 x 2 sin ( 1 x ) = 0 \displaystyle\lim_{x \to 0} x^2 \sin\!\left(\frac{1}{x}\right) = 0 x → 0 lim x 2 sin ( x 1 ) = 0 .
Since − 1 ≤ sin ( 1 x ) ≤ 1 -1 \le \sin\!\left(\frac{1}{x}\right) \le 1 − 1 ≤ sin ( x 1 ) ≤ 1 We have − x 2 ≤ x 2 sin ( 1 x ) ≤ x 2 -x^2 \le x^2 \sin\!\left(\frac{1}{x}\right) \le x^2 − x 2 ≤ x 2 sin ( x 1 ) ≤ x 2 .
Both lim x → 0 ( − x 2 ) = 0 \displaystyle\lim_{x \to 0}(-x^2) = 0 x → 0 lim ( − x 2 ) = 0 and lim x → 0 x 2 = 0 \displaystyle\lim_{x \to 0} x^2 = 0 x → 0 lim x 2 = 0 .
By the squeeze theorem, lim x → 0 x 2 sin ( 1 x ) = 0 \displaystyle\lim_{x \to 0} x^2 \sin\!\left(\frac{1}{x}\right) = 0 x → 0 lim x 2 sin ( x 1 ) = 0 .
Continuity A function f f f is continuous at x = a x = a x = a if all three conditions hold:
f ( a ) f(a) f ( a ) is definedlim x → a f ( x ) \displaystyle\lim_{x \to a} f(x) x → a lim f ( x ) existslim x → a f ( x ) = f ( a ) \displaystyle\lim_{x \to a} f(x) = f(a) x → a lim f ( x ) = f ( a ) Exam Tip
When asked whether a piecewise function is continuous at a boundary point, always check that the Left-hand limit, right-hand limit, and function value all agree.
The Derivative Definition from First Principles The derivative of f f f at x = a x = a x = a is defined as:
F ′ ( a ) = lim h → 0 f ( a + h ) − f ( a ) h F'(a) = \lim_{h \to 0} \frac{f(a+h) - f(a)}{h} F ′ ( a ) = h → 0 lim h f ( a + h ) − f ( a ) This limit, when it exists, gives the instantaneous rate of change of f f f at x = a x = a x = a And equals the Gradient of the tangent line to the curve y = f ( x ) y = f(x) y = f ( x ) at that point.
F ′ ( x ) = lim Δ x → 0 f ( x + Δ x ) − f ( x ) Δ x F'(x) = \lim_{\Delta x \to 0} \frac{f(x + \Delta x) - f(x)}{\Delta x} F ′ ( x ) = Δ x → 0 lim Δ x f ( x + Δ x ) − f ( x ) Differentiability Implies Continuity If f f f is differentiable at x = a x = a x = a Then f f f is continuous at x = a x = a x = a . The converse is not true: a Function can be continuous but not differentiable (e.g., f ( x ) = ∣ x ∣ f(x) = |x| f ( x ) = ∣ x ∣ at x = 0 x = 0 x = 0 ).
Example
Differentiate f ( x ) = x 2 f(x) = x^2 f ( x ) = x 2 from first principles.
\begin`\{aligned}` F'(x) &= \lim_{h \to 0} \frac{(x+h)^2 - x^2}{h} \\[6pt] &= \lim_{h \to 0} \frac{x^2 + 2xh + h^2 - x^2}{h} \\[6pt] &= \lim_{h \to 0} \frac{2xh + h^2}{h} \\[6pt] &= \lim_{h \to 0}(2x + h) \\[6pt] &= 2x \end`\{aligned}` Notation for Derivatives Several notations are equivalent:
f ′ ( x ) f'(x) f ′ ( x ) — Lagrange notation (prime notation)d y d x \dfrac{dy}{dx} d x d y — Leibniz notationd d x [ f ( x ) ] \dfrac{d}{dx}[f(x)] d x d [ f ( x )] — operator notationy ˙ \dot{y} y ˙ — Newton notation (time derivatives in physics)Differentiation Rules The Power Rule For n ∈ R n \in \mathbb{R} n ∈ R :
\frac{d}`\{dx}`[x^n] = nx^{n-1} Constant Multiple Rule \frac{d}`\{dx}`[cf(x)] = c \cdot f'(x) Sum and Difference Rule \frac{d}`\{dx}`[f(x) \pm g(x)] = f'(x) \pm g'(x) The Product Rule If u = f ( x ) u = f(x) u = f ( x ) and v = g ( x ) v = g(x) v = g ( x ) Then:
\frac{d}`\{dx}`[uv] = u\frac`\{dv}``\{dx}` + v\frac`\{du}``\{dx}` Example
Differentiate f ( x ) = x 3 sin x f(x) = x^3 \sin x f ( x ) = x 3 sin x .
F ′ ( x ) = 3 x 2 sin x + x 3 cos x F'(x) = 3x^2 \sin x + x^3 \cos x F ′ ( x ) = 3 x 2 sin x + x 3 cos x The Quotient Rule \frac{d}`\{dx}`\left[\frac{u}{v}\right] = \frac{v\frac`\{du}``\{dx}` - u\frac`\{dv}``\{dx}`}{v^2} Example
Differentiate f ( x ) = x 2 + 1 x − 3 \displaystyle f(x) = \frac{x^2 + 1}{x - 3} f ( x ) = x − 3 x 2 + 1 .
Let u = x 2 + 1 u = x^2 + 1 u = x 2 + 1 and v = x − 3 v = x - 3 v = x − 3 . Then u ′ = 2 x u' = 2x u ′ = 2 x and v ′ = 1 v' = 1 v ′ = 1 .
\begin`\{aligned}` F'(x) &= \frac{(x-3)(2x) - (x^2+1)(1)}{(x-3)^2} \\[6pt] &= \frac{2x^2 - 6x - x^2 - 1}{(x-3)^2} \\[6pt] &= \frac{x^2 - 6x - 1}{(x-3)^2} \end`\{aligned}` The Chain Rule If y = f ( g ( x ) ) y = f(g(x)) y = f ( g ( x )) Then:
\frac`\{dy}``\{dx}` = f'(g(x)) \cdot g'(x) Or in Leibniz notation, if y = f ( u ) y = f(u) y = f ( u ) and u = g ( x ) u = g(x) u = g ( x ) :
\frac`\{dy}``\{dx}` = \frac`\{dy}``\{du}` \cdot \frac`\{du}``\{dx}` Example
Differentiate f ( x ) = ( 3 x 2 + 1 ) 5 f(x) = (3x^2 + 1)^5 f ( x ) = ( 3 x 2 + 1 ) 5 .
Let u = 3 x 2 + 1 u = 3x^2 + 1 u = 3 x 2 + 1 So y = u 5 y = u^5 y = u 5 .
\frac`\{dy}``\{dx}` = 5u^4 \cdot 6x = 30x(3x^2+1)^4 Example
Differentiate f ( x ) = sin ( 2 x 2 + 1 ) \displaystyle f(x) = \sin(2x^2 + 1) f ( x ) = sin ( 2 x 2 + 1 ) .
Let u = 2 x 2 + 1 u = 2x^2 + 1 u = 2 x 2 + 1 So y = sin u y = \sin u y = sin u .
\frac`\{dy}``\{dx}` = \cos u \cdot 4x = 4x\cos(2x^2+1) Derivatives of Standard Functions 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 a x a^x a x a x ln a a^x \ln a a x ln a ln x \ln x ln x 1 x \dfrac{1}{x} x 1 log a x \log_a x log a x 1 x ln a \dfrac{1}{x \ln a} x ln a 1 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 csc x \csc x csc x − csc x cot x -\csc x \cot x − csc x cot x sec x \sec x sec x sec x tan x \sec x \tan x sec x tan x cot x \cot x cot x − csc 2 x -\csc^2 x − csc 2 x arcsin x \arcsin x arcsin x 1 1 − x 2 \dfrac{1}{\sqrt{1-x^2}} 1 − x 2 1 arccos x \arccos x arccos x − 1 1 − x 2 \dfrac{-1}{\sqrt{1-x^2}} 1 − x 2 − 1 arctan x \arctan x arctan x 1 1 + x 2 \dfrac{1}{1+x^2} 1 + x 2 1
Exam Tip
The IB formula booklet provides the derivatives of \sin x$$\cos x$$\tan x$$e^x And ln x \ln x ln x . Memorise the derivatives of the reciprocal trig functions and inverse trig functions as they may not Be in all booklets.
Implicit Differentiation When a function is not given explicitly as y = f ( x ) y = f(x) y = f ( x ) but as a relation between x x x and y y y We Differentiate both sides with respect to x x x and solve for d y d x \dfrac{dy}{dx} d x d y .
Key Idea When differentiating a term involving y y y with respect to x x x Use the chain rule:
\frac{d}`\{dx}`[y^n] = ny^{n-1}\frac`\{dy}``\{dx}` Example
Find d y d x \dfrac{dy}{dx} d x d y for x 2 + y 2 = 25 x^2 + y^2 = 25 x 2 + y 2 = 25 .
Differentiate both sides with respect to x x x :
2x + 2y\frac`\{dy}``\{dx}` = 0 \frac`\{dy}``\{dx}` = -\frac{x}{y} At the point ( 3 , 4 ) (3, 4) ( 3 , 4 ) : d y d x = − 3 4 \dfrac{dy}{dx} = -\dfrac{3}{4} d x d y = − 4 3 .
Example
Find d y d x \dfrac{dy}{dx} d x d y for x 3 + y 3 = 6 x y x^3 + y^3 = 6xy x 3 + y 3 = 6 x y .
3x^2 + 3y^2\frac`\{dy}``\{dx}` = 6y + 6x\frac`\{dy}``\{dx}` 3y^2\frac`\{dy}``\{dx}` - 6x\frac`\{dy}``\{dx}` = 6y - 3x^2 \frac`\{dy}``\{dx}`(3y^2 - 6x) = 6y - 3x^2 \frac`\{dy}``\{dx}` = \frac{6y - 3x^2}{3y^2 - 6x} = \frac{2y - x^2}{y^2 - 2x} Second Derivatives Implicitly To find d 2 y d x 2 \dfrac{d^2y}{dx^2} d x 2 d 2 y Differentiate d y d x \dfrac{dy}{dx} d x d y again, remembering that d y d x \dfrac{dy}{dx} d x d y is an expression in both x x x and y y y .
Example
Find d 2 y d x 2 \dfrac{d^2y}{dx^2} d x 2 d 2 y for x 2 + y 2 = 25 x^2 + y^2 = 25 x 2 + y 2 = 25 .
We have d y d x = − x y \dfrac{dy}{dx} = -\dfrac{x}{y} d x d y = − y x .
Differentiate with respect to x x x :
\frac{d^2y}{dx^2} = -\frac{y \cdot 1 - x \cdot \frac`\{dy}``\{dx}`}{y^2} Substitute d y d x = − x y \dfrac{dy}{dx} = -\dfrac{x}{y} d x d y = − y x :
d 2 y d x 2 = − y − x ( − x y ) y 2 = − y + x 2 y y 2 = − y 2 + x 2 y 3 = − 25 y 3 \frac{d^2y}{dx^2} = -\frac{y - x\left(-\frac{x}{y}\right)}{y^2} = -\frac{y + \frac{x^2}{y}}{y^2} = -\frac{y^2 + x^2}{y^3} = -\frac{25}{y^3} d x 2 d 2 y = − y 2 y − x ( − y x ) = − y 2 y + y x 2 = − y 3 y 2 + x 2 = − y 3 25 When two or more quantities are related by an equation, their rates of change are also related.
Strategy Identify the quantities that are changing and the rate(s) given. Write an equation relating the quantities. Differentiate both sides with respect to time (t t t ). Substitute known values and solve for the unknown rate. Example
A spherical balloon is being inflated at a rate of 10 c m 3 / s 10\mathrm{ cm}^3\mathrm{/s} 10 cm 3 /s . Find the rate at Which the radius is increasing when the radius is 5 c m 5\mathrm{ cm} 5 cm .
Volume of a sphere: V = 4 3 π r 3 V = \dfrac{4}{3}\pi r^3 V = 3 4 π r 3 .
Differentiate with respect to t t t :
\frac`\{dV}``\{dt}` = 4\pi r^2 \frac`\{dr}``\{dt}` Substitute d V d t = 10 \dfrac{dV}{dt} = 10 d t d V = 10 and r = 5 r = 5 r = 5 :
10 = 4\pi(25)\frac`\{dr}``\{dt}` \frac`\{dr}``\{dt}` = \frac{10}{100\pi} = \frac{1}{10\pi} \approx 0.0318 \mathrm{ cm/s} Example
A ladder 10 m 10\mathrm{ m} 10 m long rests against a vertical wall. The bottom slides away from the wall at 1 m / s 1\mathrm{ m/s} 1 m/s . How fast is the top sliding down when the bottom is 6 m 6\mathrm{ m} 6 m from the wall?
By Pythagoras: x 2 + y 2 = 100 x^2 + y^2 = 100 x 2 + y 2 = 100 .
Differentiate: 2 x d x d t + 2 y d y d t = 0 2x\dfrac{dx}{dt} + 2y\dfrac{dy}{dt} = 0 2 x d t d x + 2 y d t d y = 0 .
When x = 6 x = 6 x = 6 : y = 100 − 36 = 8 y = \sqrt{100-36} = 8 y = 100 − 36 = 8 .
2(6)(1) + 2(8)\frac`\{dy}``\{dt}` = 0 \frac`\{dy}``\{dt}` = -\frac{12}{16} = -0.75 \mathrm{ m/s} The negative sign means the top is sliding down.
Second Derivatives and Higher Derivatives Notation F''(x) = \frac{d^2y}{dx^2} = \frac{d}`\{dx}`\left(\frac`\{dy}``\{dx}`\right) F'''(x) = \frac{d^3y}{dx^3} = \frac{d}`\{dx}`\left(\frac{d^2y}{dx^2}\right) Example
Find f ′ ′ ( x ) f''(x) f ′′ ( x ) for f ( x ) = x 4 − 3 x 3 + 2 x − 7 f(x) = x^4 - 3x^3 + 2x - 7 f ( x ) = x 4 − 3 x 3 + 2 x − 7 .
F ′ ( x ) = 4 x 3 − 9 x 2 + 2 F'(x) = 4x^3 - 9x^2 + 2 F ′ ( x ) = 4 x 3 − 9 x 2 + 2 F ′ ′ ( x ) = 12 x 2 − 18 x F''(x) = 12x^2 - 18x F ′′ ( x ) = 12 x 2 − 18 x F ′ ′ ′ ( x ) = 24 x − 18 F'''(x) = 24x - 18 F ′′′ ( x ) = 24 x − 18 Applications of Differentiation Tangents and Normals The tangent to y = f ( x ) y = f(x) y = f ( x ) at x = a x = a x = a has gradient f ′ ( a ) f'(a) f ′ ( a ) and equation:
Y − f ( a ) = f ′ ( a ) ( x − a ) Y - f(a) = f'(a)(x - a) Y − f ( a ) = f ′ ( a ) ( x − a ) The normal is perpendicular to the tangent, so its gradient is − 1 f ′ ( a ) -\dfrac{1}{f'(a)} − f ′ ( a ) 1 (when f ′ ( a ) ≠ 0 f'(a) \neq 0 f ′ ( a ) = 0 ):
Y − f ( a ) = − 1 f ′ ( a ) ( x − a ) Y - f(a) = -\frac{1}{f'(a)}(x - a) Y − f ( a ) = − f ′ ( a ) 1 ( x − a ) Example
Find the equation of the tangent and normal to y = x 3 − 3 x + 2 y = x^3 - 3x + 2 y = x 3 − 3 x + 2 at x = 1 x = 1 x = 1 .
At x = 1 x = 1 x = 1 : y = 1 − 3 + 2 = 0 y = 1 - 3 + 2 = 0 y = 1 − 3 + 2 = 0 and y ′ = 3 x 2 − 3 = 0 y' = 3x^2 - 3 = 0 y ′ = 3 x 2 − 3 = 0 .
Since y ′ = 0 y' = 0 y ′ = 0 The tangent is horizontal: y = 0 y = 0 y = 0 .
The normal is vertical: x = 1 x = 1 x = 1 .
Increasing and Decreasing Functions f f f is increasing on an interval if f ′ ( x ) > 0 f'(x) \gt 0 f ′ ( x ) > 0 for all x x x in that interval.f f f is decreasing on an interval if f ′ ( x ) < 0 f'(x) \lt 0 f ′ ( x ) < 0 for all x x x in that interval.f f f is stationary at x = a x = a x = a if f ′ ( a ) = 0 f'(a) = 0 f ′ ( a ) = 0 .Stationary Points A stationary point occurs where f ′ ( x ) = 0 f'(x) = 0 f ′ ( x ) = 0 . There are three types:
Type First Derivative Test Second Derivative Test Local maximum f ′ f' f ′ changes from + + + to − - − f ′ ′ ( x ) < 0 f''(x) \lt 0 f ′′ ( x ) < 0 Local minimum f ′ f' f ′ changes from − - − to + + + f ′ ′ ( x ) > 0 f''(x) \gt 0 f ′′ ( x ) > 0 Point of inflection f ′ f' f ′ does not change signf ′ ′ ( x ) = 0 f''(x) = 0 f ′′ ( x ) = 0 (inconclusive alone)
Example
Find and classify 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 .
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 ) Setting f ′ ( x ) = 0 f'(x) = 0 f ′ ( x ) = 0 : x = 1 x = 1 x = 1 or 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 . Point: ( 1 , 5 ) (1, 5) ( 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 . Point: ( 3 , 1 ) (3, 1) ( 3 , 1 ) .
Concavity and Points of Inflection Stationary Points and Concavity
Use the sliders to adjust coefficients of a polynomial and observe how f ′ ( x ) f'(x) f ′ ( x ) and f ′ ′ ( x ) f''(x) f ′′ ( x ) Determine stationary points and concavity.
f f f is concave up on an interval if f ′ ′ ( x ) > 0 f''(x) \gt 0 f ′′ ( x ) > 0 (the graph curves upward).f f f is concave down on an interval if f ′ ′ ( x ) < 0 f''(x) \lt 0 f ′′ ( x ) < 0 (the graph curves downward).A point of inflection occurs where the concavity changes, i.e., f ′ ′ ( x ) f''(x) f ′′ ( x ) changes sign. Example
Find the points of inflection of f ( x ) = x 4 − 4 x 3 f(x) = x^4 - 4x^3 f ( x ) = x 4 − 4 x 3 .
F ′ ( x ) = 4 x 3 − 12 x 2 F'(x) = 4x^3 - 12x^2 F ′ ( x ) = 4 x 3 − 12 x 2 F ′ ′ ( x ) = 12 x 2 − 24 x = 12 x ( x − 2 ) F''(x) = 12x^2 - 24x = 12x(x - 2) F ′′ ( x ) = 12 x 2 − 24 x = 12 x ( x − 2 ) f ′ ′ ( x ) = 0 f''(x) = 0 f ′′ ( x ) = 0 when x = 0 x = 0 x = 0 or x = 2 x = 2 x = 2 .
Interval Sign of f ′ ′ f'' f ′′ Concavity x < 0 x \lt 0 x < 0 + + + Concave up 0 < x < 2 0 \lt x \lt 2 0 < x < 2 − - − Concave down x > 2 x \gt 2 x > 2 + + + Concave up
Concavity changes at both x = 0 x = 0 x = 0 and x = 2 x = 2 x = 2 So both are points of inflection.
At x = 0 x = 0 x = 0 : f ( 0 ) = 0 f(0) = 0 f ( 0 ) = 0 . Point: ( 0 , 0 ) (0, 0) ( 0 , 0 ) .
At x = 2 x = 2 x = 2 : f ( 2 ) = 16 − 32 = − 16 f(2) = 16 - 32 = -16 f ( 2 ) = 16 − 32 = − 16 . Point: ( 2 , − 16 ) (2, -16) ( 2 , − 16 ) .
Optimization Optimization problems involve finding the maximum or minimum value of a quantity subject to Constraints.
Strategy Define variables and identify the quantity to be optimised. Write an expression for the quantity in terms of a single variable. Differentiate and set the derivative equal to zero. Verify that the critical point gives a maximum or minimum. Answer the question in context. Example
A piece of wire 100 c m 100\mathrm{ cm} 100 cm long is bent to form a rectangle. Find the dimensions that Maximise the area.
Let the dimensions be x x x and y y y . Then 2 x + 2 y = 100 2x + 2y = 100 2 x + 2 y = 100 So y = 50 − x y = 50 - x y = 50 − x .
Area: A = x y = x ( 50 − x ) = 50 x − x 2 A = xy = x(50 - x) = 50x - x^2 A = x y = x ( 50 − x ) = 50 x − x 2 .
\frac`\{dA}``\{dx}` = 50 - 2x = 0 \implies x = 25 d 2 A d x 2 = − 2 < 0 ⟹ m a x i m u m \frac{d^2A}{dx^2} = -2 \lt 0 \implies \mathrm{maximum} d x 2 d 2 A = − 2 < 0 ⟹ maximum So x = 25\mathrm{ cm}$$y = 25\mathrm{ cm} . The rectangle is a square with area 625 c m 2 625\mathrm{ cm}^2 625 cm 2 .
Example
An open-top cylindrical can is to hold 500 c m 3 500\mathrm{ cm}^3 500 cm 3 of liquid. Find the dimensions that Minimise the surface area.
Volume: V = π r 2 h = 500 V = \pi r^2 h = 500 V = π r 2 h = 500 So h = 500 π r 2 h = \dfrac{500}{\pi r^2} h = π r 2 500 .
Surface area (no top): A = π r 2 + 2 π r h = π r 2 + 1000 r A = \pi r^2 + 2\pi r h = \pi r^2 + \dfrac{1000}{r} A = π r 2 + 2 π r h = π r 2 + r 1000 .
\frac`\{dA}``\{dr}` = 2\pi r - \frac{1000}{r^2} = 0 2 π r = 1000 r 2 ⟹ 2 π r 3 = 1000 ⟹ r 3 = 500 π 2\pi r = \frac{1000}{r^2} \implies 2\pi r^3 = 1000 \implies r^3 = \frac{500}{\pi} 2 π r = r 2 1000 ⟹ 2 π r 3 = 1000 ⟹ r 3 = π 500 R = ( 500 π ) 1 / 3 ≈ 5.42 c m R = \left(\frac{500}{\pi}\right)^{1/3} \approx 5.42 \mathrm{ cm} R = ( π 500 ) 1/3 ≈ 5.42 cm H = 500 π ⋅ ( 500 π ) 2 / 3 = ( 500 π ) 1 / 3 ≈ 5.42 c m H = \frac{500}{\pi \cdot \left(\frac{500}{\pi}\right)^{2/3}} = \left(\frac{500}{\pi}\right)^{1/3} \approx 5.42 \mathrm{ cm} H = π ⋅ ( π 500 ) 2/3 500 = ( π 500 ) 1/3 ≈ 5.42 cm The optimal open-top can has h = r h = r h = r I.e., height equals radius.
L’Hopital’s Rule If lim x → a f ( x ) g ( x ) \displaystyle\lim_{x \to a}\frac{f(x)}{g(x)} x → a lim g ( x ) f ( x ) gives an indeterminate form 0 0 \dfrac{0}{0} 0 0 or ± ∞ ± ∞ \dfrac{\pm\infty}{\pm\infty} ± ∞ ± ∞ Then:
lim x → a f ( x ) g ( x ) = lim x → a f ′ ( x ) g ′ ( x ) \lim_{x \to a}\frac{f(x)}{g(x)} = \lim_{x \to a}\frac{f'(x)}{g'(x)} x → a lim g ( x ) f ( x ) = x → a lim g ′ ( x ) f ′ ( x ) Provided the limit on the right exists.
Example
Evaluate lim x → 0 e x − 1 − x x 2 \displaystyle\lim_{x \to 0}\frac{e^x - 1 - x}{x^2} x → 0 lim x 2 e x − 1 − x .
Direct substitution gives 0 0 \dfrac{0}{0} 0 0 So apply L’Hopital’s rule:
lim x → 0 e x − 1 2 x \lim_{x \to 0}\frac{e^x - 1}{2x} x → 0 lim 2 x e x − 1 Still 0 0 \dfrac{0}{0} 0 0 Apply again:
lim x → 0 e x 2 = 1 2 \lim_{x \to 0}\frac{e^x}{2} = \frac{1}{2} x → 0 lim 2 e x = 2 1 IB Exam-Style Questions Question 1 (Paper 1 style) Let f ( x ) = 2 x 3 − 3 x 2 − 36 x + 5 f(x) = 2x^3 - 3x^2 - 36x + 5 f ( x ) = 2 x 3 − 3 x 2 − 36 x + 5 .
(a) Find f ′ ( x ) f'(x) f ′ ( x ) .
F ′ ( x ) = 6 x 2 − 6 x − 36 F'(x) = 6x^2 - 6x - 36 F ′ ( x ) = 6 x 2 − 6 x − 36 (b) Find the x x x -coordinates of the stationary points.
6 x 2 − 6 x − 36 = 0 ⟹ x 2 − x − 6 = 0 ⟹ ( x − 3 ) ( x + 2 ) = 0 6x^2 - 6x - 36 = 0 \implies x^2 - x - 6 = 0 \implies (x-3)(x+2) = 0 6 x 2 − 6 x − 36 = 0 ⟹ x 2 − x − 6 = 0 ⟹ ( x − 3 ) ( x + 2 ) = 0 x = 3 x = 3 x = 3 or x = − 2 x = -2 x = − 2 .
(c) Determine the nature of each stationary point.
F ′ ′ ( x ) = 12 x − 6 F''(x) = 12x - 6 F ′′ ( x ) = 12 x − 6 At x = − 2 x = -2 x = − 2 : f ′ ′ ( − 2 ) = − 30 < 0 f''(-2) = -30 \lt 0 f ′′ ( − 2 ) = − 30 < 0 So local maximum.
At x = 3 x = 3 x = 3 : f ′ ′ ( 3 ) = 30 > 0 f''(3) = 30 \gt 0 f ′′ ( 3 ) = 30 > 0 So local minimum.
(d) Find the equation of the tangent to the curve at x = 0 x = 0 x = 0 .
f ( 0 ) = 5 f(0) = 5 f ( 0 ) = 5 and f ′ ( 0 ) = − 36 f'(0) = -36 f ′ ( 0 ) = − 36 .
Y − 5 = − 36 ( x − 0 ) ⟹ y = − 36 x + 5 Y - 5 = -36(x - 0) \implies y = -36x + 5 Y − 5 = − 36 ( x − 0 ) ⟹ y = − 36 x + 5 Question 2 (Paper 2 style) A rectangular garden is to be constructed adjacent to a house, with the house forming one side of The rectangle. Fencing is required for the other three sides. 60 m 60\mathrm{ m} 60 m of fencing is Available.
(a) If the side parallel to the house has length x m x\mathrm{ m} x m Show that the area is:
A = x ( 30 − x 2 ) = 30 x − x 2 2 A = x\left(30 - \frac{x}{2}\right) = 30x - \frac{x^2}{2} A = x ( 30 − 2 x ) = 30 x − 2 x 2 The two perpendicular sides have total length 60 − x 60 - x 60 − x So each is 60 − x 2 = 30 − x 2 \dfrac{60-x}{2} = 30 - \dfrac{x}{2} 2 60 − x = 30 − 2 x .
A = x ( 30 − x 2 ) A = x\left(30 - \frac{x}{2}\right) A = x ( 30 − 2 x ) (b) Find the value of x x x that maximises the area.
\frac`\{dA}``\{dx}` = 30 - x = 0 \implies x = 30 d 2 A d x 2 = − 1 < 0 ⟹ m a x i m u m \frac{d^2A}{dx^2} = -1 \lt 0 \implies \mathrm{maximum} d x 2 d 2 A = − 1 < 0 ⟹ maximum Maximum area = 30 × 15 = 450 m 2 = 30 \times 15 = 450\mathrm{ m}^2 = 30 × 15 = 450 m 2 .
Question 3 (Paper 1 style) Given x 2 + x y + y 2 = 7 x^2 + xy + y^2 = 7 x 2 + x y + y 2 = 7 :
(a) Find d y d x \dfrac{dy}{dx} d x d y in terms of x x x and y y y .
2x + y + x\frac`\{dy}``\{dx}` + 2y\frac`\{dy}``\{dx}` = 0 (x + 2y)\frac`\{dy}``\{dx}` = -(2x + y) \frac`\{dy}``\{dx}` = -\frac{2x+y}{x+2y} (b) Verify that the point ( 1 , 2 ) (1, 2) ( 1 , 2 ) lies on the curve and find the gradient at that point.
1 + 2 + 4 = 7 1 + 2 + 4 = 7 1 + 2 + 4 = 7 . Yes.
\frac`\{dy}``\{dx}`\bigg|_{(1,2)} = -\frac{2+2}{1+4} = -\frac{4}{5} Question 4 (Paper 2 style) The curve C C C has equation y = x e − x y = x e^{-x} y = x e − x .
(a) Find d y d x \dfrac{dy}{dx} d x d y .
Using the product rule with u = x u = x u = x and v = e − x v = e^{-x} v = e − x :
\frac`\{dy}``\{dx}` = 1 \cdot e^{-x} + x \cdot (-e^{-x}) = e^{-x}(1 - x) (b) Find the coordinates of the stationary point and determine its nature.
d y d x = 0 ⟹ 1 − x = 0 ⟹ x = 1 \dfrac{dy}{dx} = 0 \implies 1 - x = 0 \implies x = 1 d x d y = 0 ⟹ 1 − x = 0 ⟹ x = 1 .
y = e − 1 = 1 e y = e^{-1} = \dfrac{1}{e} y = e − 1 = e 1 .
d 2 y d x 2 = − e − x ( 1 − x ) + e − x ( − 1 ) = e − x ( x − 2 ) \dfrac{d^2y}{dx^2} = -e^{-x}(1-x) + e^{-x}(-1) = e^{-x}(x - 2) d x 2 d 2 y = − e − x ( 1 − x ) + e − x ( − 1 ) = e − x ( x − 2 ) .
At x = 1 x = 1 x = 1 : d 2 y d x 2 = e − 1 ( − 1 ) < 0 \dfrac{d^2y}{dx^2} = e^{-1}(-1) \lt 0 d x 2 d 2 y = e − 1 ( − 1 ) < 0 So local maximum at ( 1 , 1 e ) \left(1, \dfrac{1}{e}\right) ( 1 , e 1 ) .
(c) Find the point of inflection.
d 2 y d x 2 = 0 ⟹ x = 2 \dfrac{d^2y}{dx^2} = 0 \implies x = 2 d x 2 d 2 y = 0 ⟹ x = 2 .
At x = 2 x = 2 x = 2 : y = 2 e − 2 = 2 e 2 y = 2e^{-2} = \dfrac{2}{e^2} y = 2 e − 2 = e 2 2 .
Since d 2 y d x 2 \dfrac{d^2y}{dx^2} d x 2 d 2 y changes sign at x = 2 x = 2 x = 2 This is a point of inflection at ( 2 , 2 e 2 ) \left(2, \dfrac{2}{e^2}\right) ( 2 , e 2 2 ) .
(d) Find the equation of the tangent at x = 0 x = 0 x = 0 .
y ( 0 ) = 0 y(0) = 0 y ( 0 ) = 0 and y ′ ( 0 ) = e 0 ( 1 ) = 1 y'(0) = e^0(1) = 1 y ′ ( 0 ) = e 0 ( 1 ) = 1 .
Y = x Y = x Y = x Question 5 (Paper 1 style) The radius of a circle is increasing at a rate of 0.5 c m / s 0.5\mathrm{ cm/s} 0.5 cm/s . Find the rate of change of The area when the radius is 4 c m 4\mathrm{ cm} 4 cm .
A = π r 2 A = \pi r^2 A = π r 2 \frac`\{dA}``\{dt}` = 2\pi r \frac`\{dr}``\{dt}` = 2\pi(4)(0.5) = 4\pi \mathrm{ cm}^2\mathrm{/s} Question 6 (Paper 2 style) Let f ( x ) = x x 2 + 1 f(x) = \dfrac{x}{x^2 + 1} f ( x ) = x 2 + 1 x .
(a) Find f ′ ( x ) f'(x) f ′ ( x ) .
Using the quotient rule with u = x$$v = x^2 + 1 :
F ′ ( x ) = ( x 2 + 1 ) ( 1 ) − x ( 2 x ) ( x 2 + 1 ) 2 = 1 − x 2 ( x 2 + 1 ) 2 F'(x) = \frac{(x^2+1)(1) - x(2x)}{(x^2+1)^2} = \frac{1 - x^2}{(x^2+1)^2} F ′ ( x ) = ( x 2 + 1 ) 2 ( x 2 + 1 ) ( 1 ) − x ( 2 x ) = ( x 2 + 1 ) 2 1 − x 2 (b) Find the range of values of x x x for which f f f is increasing.
f ′ ( x ) > 0 ⟹ 1 − x 2 > 0 ⟹ x 2 < 1 ⟹ − 1 < x < 1 f'(x) \gt 0 \implies 1 - x^2 \gt 0 \implies x^2 \lt 1 \implies -1 \lt x \lt 1 f ′ ( x ) > 0 ⟹ 1 − x 2 > 0 ⟹ x 2 < 1 ⟹ − 1 < x < 1 .
(c) Find the stationary points.
f ′ ( x ) = 0 ⟹ x = ± 1 f'(x) = 0 \implies x = \pm 1 f ′ ( x ) = 0 ⟹ x = ± 1 .
At x = 1 x = 1 x = 1 : f ( 1 ) = 1 2 f(1) = \dfrac{1}{2} f ( 1 ) = 2 1 .
At x = − 1 x = -1 x = − 1 : f ( − 1 ) = − 1 2 f(-1) = -\dfrac{1}{2} f ( − 1 ) = − 2 1 .
Since f ′ f' f ′ changes from + + + to − - − at x = 1 x = 1 x = 1 : local maximum at ( 1 , 1 2 ) \left(1, \dfrac{1}{2}\right) ( 1 , 2 1 ) .
Since f ′ f' f ′ changes from − - − to + + + at x = − 1 x = -1 x = − 1 : local minimum at ( − 1 , − 1 2 ) \left(-1, -\dfrac{1}{2}\right) ( − 1 , − 2 1 ) .
(d) Find the equations of the asymptotes.
As x → ± ∞ x \to \pm\infty x → ± ∞ : f ( x ) → 0 f(x) \to 0 f ( x ) → 0 So y = 0 y = 0 y = 0 is a horizontal asymptote.
The denominator x 2 + 1 ≠ 0 x^2 + 1 \neq 0 x 2 + 1 = 0 for all real x x x So there are no vertical asymptotes.
Summary of Key Results Concept Formula First principles f ′ ( x ) = lim h → 0 f ( x + h ) − f ( x ) h \displaystyle f'(x) = \lim_{h \to 0}\frac{f(x+h)-f(x)}{h} f ′ ( x ) = h → 0 lim h f ( x + h ) − f ( x ) Power rule 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 Product rule ( u v ) ′ = u ′ v + u v ′ (uv)' = u'v + uv' ( uv ) ′ = u ′ v + u v ′ Quotient rule ( u v ) ′ = u ′ v − u v ′ v 2 \left(\dfrac{u}{v}\right)' = \dfrac{u'v - uv'}{v^2} ( v u ) ′ = v 2 u ′ v − u v ′ Chain rule d y d x = d y d u ⋅ d u d x \dfrac{dy}{dx} = \dfrac{dy}{du} \cdot \dfrac{du}{dx} d x d y = d u d y ⋅ d x d u Tangent at ( a , f ( a ) ) (a, f(a)) ( a , f ( a )) y − f ( a ) = f ′ ( a ) ( x − a ) y - f(a) = f'(a)(x - a) y − f ( a ) = f ′ ( a ) ( x − a ) Normal gradient − 1 f ′ ( a ) -\dfrac{1}{f'(a)} − f ′ ( a ) 1 Increasing f ′ ( x ) > 0 f'(x) \gt 0 f ′ ( x ) > 0 Decreasing f ′ ( x ) < 0 f'(x) \lt 0 f ′ ( x ) < 0 Local max f'(a) = 0$$f''(a) \lt 0 Local min f'(a) = 0$$f''(a) \gt 0
Exam Strategy
For Paper 2 differentiation questions, always show your working . State which rule you are Using (product, quotient, chain) and lay out the substitution. Examiners award method marks for Correct application of rules even if arithmetic errors occur later.
For the A-Level treatment of this topic, see Differentiation .
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Common Pitfalls Forgetting to use the chain rule for composite functions — identify the inner function first.
Confusing the derivative of ln ( x ) \ln(x) ln ( x ) with the derivative of log a ( x ) \log_a(x) log a ( x ) — the latter requires the change of base formula.
Misreading the question, particularly with ‘hence’ vs ‘hence or otherwise’ — the former requires using previous work.
Summary Chain rule: d d x [ f ( g ( x ) ) ] = f ′ ( g ( x ) ) ⋅ g ′ ( x ) \frac{d}{dx}[f(g(x))] = f'(g(x)) \cdot g'(x) d x d [ f ( g ( x ))] = f ′ ( g ( x )) ⋅ g ′ ( x ) Product rule: ( u v ) ′ = u ′ v + u v ′ (uv)' = u'v + uv' ( uv ) ′ = u ′ v + u v ′ ; quotient rule: ( u v ) ′ = u ′ v − u v ′ v 2 \left(\frac{u}{v}\right)' = \frac{u'v - uv'}{v^2} ( v u ) ′ = v 2 u ′ v − u v ′ Implicit differentiation: apply chain rule to terms with y y y Related rates: differentiate with respect to t t t Cross-References Topic Site Link [Differentiation] A-Level View [Differentiation] IB View
Worked Examples Worked examples demonstrating the application of key concepts are covered in the detailed sub-pages linked above.