Integration is the reverse of differentiation — it accumulates tiny pieces into a whole: If differentiation breaks things down (finds the rate of change), integration builds things up (finds the total). The area under a speed-time graph is distance travelled. The area under a power-time graph is energy used. Integration sums up infinitely many infinitesimal contributions to find a total.
Why it matters: Integration is used to find areas, volumes, work done, probability, and many other quantities that involve accumulation. It’s the second fundamental operation of calculus and the complement to differentiation.
The key insight: The Fundamental Theorem of Calculus connects differentiation and integration — they are inverse operations. If F′(x)=f(x), then ∫abf(x)dx=F(b)−F(a). This means you can evaluate definite integrals by finding antiderivatives, without doing Riemann sums. This is the most important theorem in calculus.
Board Coverage
Board
Paper
Notes
AQA
Paper 1, 2
Basic integration in P1; by parts, substitution in P2
Edexcel
P1, P2
Similar split
OCR (A)
Paper 1, 2
Includes trapezium rule
CIE (9709)
P1, P2, P3
Basic in P1; by parts/substitution in P2/P3; further in P3
1. Integration as Area: Riemann Sums
1.1 Definition
Definition. The definite integral of f from a to b is defined as the limit of Riemann Sums:
∫abf(x)dx=limn→∞∑i=1nf(xi∗)Δx
Where [a,b] is divided into n subintervals of width Δx=nb−aAnd xi∗ is A sample point in the i-th subinterval.
Geometric picture. We divide the area under y=f(x) between x=a and x=b into n thin Rectangles. The sum of their areas approximates the total area. As n→∞ (rectangles become Infinitely thin), the approximation becomes exact.
If we take the upper rectangle height (right endpoint), we get an upper sum.
If we take the lower rectangle height (left endpoint), we get a lower sum.
The integral exists when the upper and lower sums converge to the same limit.
Intuition. Integration is “accumulation” — adding up infinitely many infinitesimal Contributions. If f(x) is a rate (like velocity), then ∫abf(x)dx is the total change (displacement).
Increase the number of rectangles to see how Riemann sums converge to The exact area under the curve. Compare the upper and lower sums as the partition gets finer.
2. The Fundamental Theorem of Calculus
Theorem (FTC). If f is continuous on [a,b]Then
(Part1)dxd∫axf(t)dt=f(x)
(Part2)∫abf(x)dx=F(b)−F(a)
Where F is any antiderivative of f (i.e., F′(x)=f(x)).
2.1 Sketch proof of Part 2
Let G(x)=∫axf(t)dt. By Part 1, G′(x)=f(x).
If F is any other antiderivative of fThen F′(x)=G′(x)=f(x)So F(x)−G(x)=C (a Constant).
F(x)=G(x)+C⟹F(b)−F(a)=G(b)−G(a)=∫abf(t)dt−0
Hence ∫abf(x)dx=F(b)−F(a). ■
3. Standard Integrals
Each standard integral can be derived by reversing the corresponding differentiation.
If f′′ is continuous on [a,b] and ∣f′′(x)∣≤M for all x∈[a,b]Then the error E Satisfies
∣E∣≤12n2(b−a)3M
Proof (sketch). For a single strip of width hThe trapezium rule gives area 2h[f(a)+f(a+h)]While the true area is ∫aa+hf(x)dx. By Taylor’s theorem, The error per strip is −12h3f′′(ξ) for some ξ∈(a,a+h). Summing n strips And using the bound ∣f′′∣≤M:
∣E∣≤n⋅12h3M=n⋅12n3(b−a)3M=12n2(b−a)3M■
Intuition. The error decreases as 1/n2 — doubling the number of strips quarters the error. The error also depends on how curved the function is (via f′′). For a straight line (f′′=0), The trapezium rule is exact.
Tip: Tip Concave-down functions and overestimates for concave-up functions.
8. Further Techniques
8.1 Integrating f(x)f′(x)
∫f(x)f′(x)dx=ln∣f(x)∣+C
This follows from the substitution u=f(x).
8.2 Partial fractions
Rational functions can be integrated by first decomposing into partial fractions.
Problem 5Use the trapezium rule with 4 strips to approximate ∫021+x21dxAnd give an error bound given ∣f′′(x)∣≤2 on [0,2].Solution 5h=42−0=0.5. Values: y_0 = 1$$y_1 = 1/(1+0.25) = 0.8$$y_2 = 1/(1+1) = 0.5$$y_3 = 1/(1+2.25) \approx 0.3077$$y_4 = 1/5 = 0.2.
Problem 11The curve C has parametric equations x=t2, y=2t for 0≤t≤3. Find the area under C.Solution 11A=∫t=0t=3ydtdxdt=∫032t⋅2tdt=∫034t2dt=[34t3]03=34×27=36
Forgetting the chain rule when integrating composite functions. Look for an inner function and its derivative.
Confusing definite and indefinite integrals. Definite integrals give a numerical value; indefinite integrals give a family of functions.
Incorrectly applying limits of integration after a substitution. Remember to change the limits to the new variable.
Losing marks by not showing sufficient working. Always write out each step, especially in proof questions.
Misreading the question, particularly with ‘hence’ vs ‘hence or otherwise’. The former requires using previous work.
Forgetting to check that solutions satisfy the original equation (especially with squaring both sides or dividing by variables).
Summary
The key principles covered in this topic are linked in the sub-pages above. Focus on understanding the definitions, applying the formulas or frameworks, and evaluating strengths and limitations of each approach.
Worked Examples
Worked examples demonstrating the application of key concepts are covered in the detailed sub-pages linked above.
Cross-References
Differentiation — Integration reverses differentiation, and the Fundamental Theorem of Calculus connects rates of change to accumulated areas.
Trigonometry — Trigonometric identities are essential for integrating functions involving sin, cos, and tan.
Numerical Methods — The trapezium rule and Simpson’s rule approximate definite integrals when exact integration is difficult.
Exponentials and Logarithms — The integral of 1/x gives ln∣x∣, linking integration directly to logarithmic functions.