Calculus is divided into two main branches: differentiation (finding rates of change) and integration (finding areas and reversing differentiation). This topic is central to Paper 1 at Both levels.
Differentiation
{/prettier-ignore/}
Adjust the parameters in the graph above to explore the relationships between variables.
The Derivative
The derivative of a function f(x) measures the instantaneous rate of change of f with respect to x. It is denoted f′(x), dxdfOr x˙ in the context of time.
Geometrically, f′(a) is the gradient of the tangent to the curve y=f(x) at the point x=a.
Differentiation from First Principles (HL)
The derivative is defined as:
F′(x)={limh→0}f{(x+h)−f(x)}{h}
This limit, when it exists, gives the slope of the secant line through (x,f(x)) and (x+h,f(x+h)) as the two points converge.
Example (HL): Prove from first principles that dxd[x2]=2x.
The second derivative f′′(x)=dx2d2y is the derivative of f′(x). Higher derivatives Are defined recursively.
Example: Find f′′(x) when f(x)=x3lnx.
First derivative (product rule):
F′(x)=3x2lnx+x3⋅1{}{x}=3x2lnx+x2
Second derivative:
F′′(x)=6xlnx+3x2⋅1{}{x}+2x=6xlnx+3x+2x=6xlnx+5x
Applications of Differentiation
Stationary Points (OL/HL)
Stationary points occur where f′(x)=0. Use the second derivative to classify:
Condition
Type
f′(x)=0, f′′(x)>0
Local minimum
f′(x)=0, f′′(x)<0
Local maximum
f′(x)=0, f′′(x)=0
Test inconclusive
Example (OL): Find and classify the stationary points of f(x)=x3−6x2+9x+1.
F′(x)=3x2−12x+9=3(x2−4x+3)=3(x−1)(x−3)=0
x=1 or x=3.
F′′(x)=6x−12
At x=1: f′′(1)=−6<0 — local maximum. f(1)=1−6+9+1=5.
At x=3: f′′(3)=6>0 — local minimum. f(3)=27−54+27+1=1.
Example (HL) — Inconclusive second derivative: Find and classify the stationary points of f(x)=x4.
F′(x)=4x3=0⟹x=0F′′(x)=12x2,f′′(0)=0
The second derivative test is inconclusive. Use the first derivative test: for x<0, f′(x)<0 And for x>0, f′(x)>0 So x=0 is a local minimum.
Example (HL) — Point of inflexion: Consider f(x)=x3.
F′(x)=3x2=0⟹x=0F′′(x)=6x,f′′(0)=0
For x<0: f′′(x)<0 (concave down). For x>0: f′′(x)>0 (concave up). So x=0 is a Point of inflexion with a horizontal tangent (a “saddle point”).
The Mean Value Theorem (HL)
If f is continuous on [a,b] and differentiable on (a,b) Then there exists c∈(a,b) Such that:
F′(c)=f{(b)−f(a)}{b−a}
Intuition: The MVT guarantees that at some point in the interval, the instantaneous rate of Change equals the average rate of change. This is the “mean” in “Mean Value Theorem.”
Corollary: If f′(x)=0 for all x in an interval, then f is constant on that interval. This justifies the +C in indefinite integration.
Example (HL): Verify the MVT for f(x)=x2 on [1,3].
f{(3)−f(1)}{3−1}=9{−1}{2}=4
We need f′(c)=2c=4 So c=2. Since 1<2<3The MVT is verified.
Rates of Change (OL/HL)
Example (OL): The radius of a circle is increasing at 3\mathrm{ cm/s. Find the rate of increase Of the area when r = 5\mathrm{ cm.
A=πr2⟹d{A}{dt}=2πrd{r}{dt}=2π(5)(3)=30π{cm2/{s
Example (HL): A conical tank with height 10 m and base radius 5 m is being filled with water at A rate of 3\mathrm{ m^3/\mathrm{min. How fast is the water level rising when the water is 4 m deep?
The tank has similar cross-sections, so hr=105=21Giving r=h/2.
:::note The absolute value in ∫x1dx=ln∣x∣+C is essential. It accounts for the
Fact that dxd[lnx]=x1 for x>0 and dxd[ln(−x)]=−x−1=x1 for x<0. :::
Definite Integration (OL/HL)
∫abf(x)dx=F(b)−F(a)
The Fundamental Theorem of Calculus. If F′(x)=f(x) Then ∫abf(x)dx=F(b)−F(a). This connects differentiation and integration: they are inverse operations.
Example (OL): Evaluate ∫13(2x+1)dx.
[x2+x]13=(9+3)−(1+1)=12−2=10
Area Under a Curve (OL/HL)
The area between y=f(x) and the x-axis from x=a to x=b is:
A=∫ab∣f(x)∣dx
:::caution If the curve crosses the x-axis between a and bSplit the integral and take the
Absolute value of each part. The integral itself gives the signed area. ::: Example (OL): Find the area enclosed by y=x2The x-axis, x=0 And x=3.
A=∫03x2dx=[x{3}{3}]03=2{7}{3}=9{squareunits
Example (OL): Find the total area between y=x2−4 and the x-axis.
The curve crosses the x-axis when x2=4I.e. x=−2 and x=2.
Key point: When using substitution with definite integrals, either change the limits of Integration (as above) or substitute back to x before evaluating.
Integration by Parts (HL)
∫udv=uv−∫vdu
Use LIATE (Logarithmic, Inverse trig, Algebraic, Trigonometric, Exponential) to choose u.
Example: Evaluate ∫xexdx.
Let u = x$$dv = e^x \, dx. Then du = dx$$v = e^x.
∫xexdx=xex−∫exdx=xex−ex+C=ex(x−1)+C
Example: Evaluate ∫x2cosxdx.
Let u = x^2$$dv = \cos x \, dx. Then du = 2x \, dx$$v = \sin x.
∫x2cosxdx=x2sinx−∫2xsinxdx
Apply integration by parts again for ∫xsinxdx:
Let u = x$$dv = \sin x \, dx. Then du = dx$$v = -\cos x.
An equation of the form dxdy=f(x)g(y) can be solved by separating variables:
1{}{g(y)}dy=f(x)dx
Example: Solve dxdy=yxGiven y=2 when x=0.
Ydy=xdx⟹y{2}{2}=x{2}{2}+C
Using y=2,x=0: 2=C.
Y2=x2+4⟹y={x2+4}
(We take the positive root since y=2>0 when x=0.)
Example (HL): Solve dxdy=xy given y=1 when x=0.
Separate: y1dy=xdx.
ln∣y∣=x{2}{2}+C
Using y=1,x=0: ln1=0=C.
ln∣y∣=x{2}{2}⟹y=e{x2/2}
Exponential Growth and Decay (HL)
d{y}{dt}=ky⟹y=y0e{kt}
Example: A bacteria culture doubles every 3 hours. If initially there are 1000 bacteria, when Will there be 10000?
Doubling time Td=3 So k=3ln2.
10000=1000e(ln2/3)t
10=e(ln2/3)t
t=ln23ln10≈9.97 hours.
Half-life proof. For exponential decay y=y0e−ktThe half-life t1/2 satisfies y0/2=y0e−kt1/2 So e−kt1/2=1/2Giving t1/2=kln2.
Applications: Connected Rates of Change (HL)
Example: Oil is leaking from a tank at a rate proportional to the square root of the volume Remaining. If V=100 litres initially and the rate is 2 L/min initially, find V after 9 Minutes.
d{V}{dt}=−k{V}
At t=0: −2=−k100=−10k So k=0.2.
Separate: VdV=−0.2dt
2{V}=−0.2t+C
At t=0: 2100=C=20.
2{V}=−0.2t+20{V}=10−0.1tV=(10−0.1t)2
At t=9: V=(10−0.9)2=9.12=82.81 litres.
Worked Examples
See the examples integrated throughout the sections above.
Common Pitfalls
Forgetting the +C in indefinite integrals. This is equivalent to losing the constant of integration and makes it impossible to apply initial conditions.
Chain rule errors — always multiply by the derivative of the inner function.
Sign errors with sinx and cosx derivatives/integrals. Remember: ∫sinxdx=−cosx (the integral has a negative sign).
Not splitting integrals when a curve crosses the x-axis. Use the absolute value.
Integration by parts: choosing the wrong u and dv. Apply LIATE.
Limits in definite integrals — substitute the upper limit first, then subtract the lower limit result.
Forgetting to change limits when using substitution in a definite integral.
Confusing dxd[lnx]=x1 with ∫x1dx=ln∣x∣ — the absolute value in the integral is essential.
Cyclic integration by parts — when integrating exsinx or excosxThe integral reappears. Move it to one side and divide by 2. Do not loop forever.
Stationary point classification — when f′′(x)=0The second derivative test is inconclusive. Use the first derivative test instead.
Domain issues with implicit differentiation — when finding dxdy implicitly, always check that the point lies on the curve before substituting.
Practice Questions
Ordinary Level
Differentiate f(x)=3x4−2x2+7x−1.
Find the gradient of the tangent to y=x2−3x at x=2.
Find the stationary points of f(x)=x3−3x+2 and classify them.
Evaluate ∫02(3x2−2x+1)dx.
Find the area under y=4x−x2 above the x-axis.
Find the equation of the normal to y=x2+1 at x=1.
Evaluate ∫x3dx and hence evaluate ∫14x3dx.
The radius of a sphere is increasing at 2\mathrm{ cm/s. Find the rate of increase of the volume when r = 5\mathrm{ cm.
Higher Level
Differentiate f(x)=xlnx using the quotient rule.
Evaluate ∫01xe2xdx using integration by parts.
Find dxdy when x3+y3=6xy (implicit differentiation).
Prove from first principles that dxd[cosx]=−sinx.
Solve dxdy=xy given y=1 when x=0.
Find the volume of revolution of y=sinx about the x-axis from x=0 to x=π.
Evaluate ∫x2+12xdx using substitution.
Find the area between the curves y=ex and y=e−x and the lines x=0 and x=1.
Find dx2d2y when y=x3lnx.
Evaluate ∫0π/2sin2xdx using the identity sin2x=21−cos2x.
Evaluate ∫excosxdx using integration by parts.
Find dxdy when exy+y=x2 and evaluate it at (1,0).
A cylindrical can is to hold 500\mathrm{ cm^3. Find the dimensions that minimise the surface area.
Prove the product rule from first principles.
Find the volume generated by rotating y=x1 about the x-axis from x=1 to x=e.
flowchart TD
A[2_Calculusx] --> B[Key Concepts]
A --> C[Core Principles]
A --> D[Practical Applications]
B --> E[Fundamental definitions]
C --> F[Design patterns]
D --> G[Real-world usage]
Summary
This topic covers the mathematical techniques and concepts related to calculus, including key theorems, methods, and problem-solving approaches.
Key concepts include:
differentiation from first principles
product, quotient, and chain rules
integration techniques (by parts, substitution)
differential equations
applications to kinematics
Regular practice with a variety of question types is essential to build fluency and confidence in applying these mathematical techniques.