Statement
The trapezium rule is a method to estimate the area under a curve by approximating the region with trapezia instead of rectangles. The formula is:
\[ A \approx \frac{h}{2} \Big[ y_0 + y_n + 2(y_1 + y_2 + \cdots + y_{n-1}) \Big] \]
Here, \(h\) is the interval width and \(y_0, y_1, \dots, y_n\) are the values of the function at equally spaced points.
Why it’s true
- The area under a curve can be split into strips of equal width.
- Each strip is approximated by a trapezium, not a rectangle, giving a better fit to the curve.
- The sum of these trapezia areas gives the approximation formula above.
- The end ordinates are counted once (\(y_0\) and \(y_n\)), and the interior ordinates are counted twice, because each interior ordinate is shared between two trapezia.
Recipe (how to use it)
- Divide the interval \([a,b]\) into \(n\) equal parts: \(h=(b-a)/n\).
- Find the ordinates: \(y_0=f(x_0), y_1=f(x_1), \dots, y_n=f(x_n)\).
- Substitute into the trapezium rule formula.
- Compute the sum carefully, remembering to double the interior ordinates.
Spotting it
This formula is used whenever you’re asked to estimate an area under a curve (integration) and exact integration is not required or possible. Exam questions often say “Use the trapezium rule with n strips”.
Common pairings
- Simpson’s rule (an alternative estimation method).
- Exact integration for comparison.
Mini examples
- Given: Curve values \(y_0=1, y_1=2, y_2=3\), interval \(h=0.5\).
Answer: \(A\approx 0.5/2 [1+3+2(2)] = 0.25[1+3+4]=0.25×8=2\).
- Given: \(y_0=2, y_1=5, y_2=6, h=1\).
Answer: \(A\approx 0.5[2+6+2(5)]=0.5[2+6+10]=0.5×18=9\).
Pitfalls
- Forgetting to halve the sum (the \(\frac{h}{2}\) factor).
- Not doubling the interior ordinates.
- Using unequal intervals (not valid for trapezium rule).
Exam strategy
- Write all ordinates in order and label which are doubled.
- Perform the calculation step by step: inside brackets first, then multiply by \(h/2\).
- Leave exact form if asked, or round to required decimals.
Summary
The trapezium rule is a practical way to estimate areas under curves. By averaging top and bottom of each strip and summing, the formula \(\frac{h}{2}[y_0+y_n+2(y_1+\dots+y_{n-1})]\) emerges. It’s widely used in GCSE and A-level mathematics for numerical integration.