Not every function can be integrated exactly. When we only have data points or when the anti-derivative is unknown, we need a reliable way to estimate the area under a curve. The trapezoidal rule replaces the curve with straight-line segments, turning complex areas into simple trapeziums that anyone can calculate.
Use the PDF for classwork, homework or revision. It includes key ideas, activities, questions, an extend task and success-criteria proof.
Suppose you want to estimate the area under a curved hill, but you only know the height at a few evenly spaced points along the base. One approach is to connect the height measurements with straight lines, creating a series of slanted-sided shapes. Do you think this would give an overestimate or an underestimate of the true area? What might make the estimate better?
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Write your initial response in your book. You will revisit it at the end of the lesson.
Wrong: (a + b)² = a² + b².
Right: (a + b)² = a² + 2ab + b²; the middle term 2ab is essential and commonly forgotten.
📚 Core Content
The trapezoidal rule approximates the area under a curve by dividing it into $n$ vertical strips of equal width, then replacing the curve in each strip with a straight line. Each strip becomes a trapezium.
If the interval $[a, b]$ is divided into $n$ strips, the width of each strip is:
$$h = \frac{b - a}{n}$$
Let $y_0, y_1, y_2, \ldots, y_n$ be the function values at the endpoints of the strips. The total approximate area is:
$$\int_a^b f(x) \, dx \approx \frac{h}{2}\bigl(y_0 + 2y_1 + 2y_2 + \cdots + 2y_{n-1} + y_n\bigr)$$
In words: half the strip width, times the sum of the first ordinate, the last ordinate, and twice all the middle ordinates.
The trapezoidal rule is exact for straight lines. For curves, the error depends on the concavity:
In both cases, using more strips (smaller $h$) reduces the error and improves the estimate.
🧮 Worked Examples
🧪 Activities
1 Estimate $\int_0^4 x^2 \, dx$ using 4 strips.
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2 Estimate $\int_1^3 \frac{1}{x} \, dx$ using 2 strips. Give your answer to 3 decimal places.
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3 Use the data below to estimate $\int_0^{12} f(x) \, dx$ with 4 strips.
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4 Estimate $\int_0^2 (x^3 + 1) \, dx$ using 2 strips, then compare with the exact value.
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1 For $y = x^2$, explain why the trapezoidal rule with 2 strips gives an overestimate of the area under the curve.
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2 A scientist uses 10 strips to estimate a river cross-section and gets 84 m$^2$. A colleague uses 20 strips and gets 82 m$^2$. Which estimate is likely more accurate, and why?
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Earlier you thought about estimating the area under a curved hill using straight-line segments.
The trapezoidal rule formalises exactly this idea: it replaces the curve with straight lines between data points, creating trapeziums whose areas are easy to calculate. Whether the estimate is too high or too low depends on whether the curve bends upwards or downwards. And the more points we use, the closer the straight-line path hugs the curve, giving us better and better estimates. This is why the trapezoidal rule remains one of the most practical tools in applied mathematics and science.
Now revisit your initial response. What did you get right? What has changed in your thinking?
Look back at your initial response in your book. Annotate it with what you now understand differently.
Look back at what you wrote in the Think First section. What has changed? What did you get right? What surprised you?
5 random questions from a replayable lesson bank — feedback shown immediately
✍️ Short Answer
6. Use the trapezoidal rule with 3 strips to estimate $\int_0^3 (x^2 + 1) \, dx$. Show all working, including a table of ordinates. 3 MARKS
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Answer in your workbook.
7. The speed of a car (in m/s) at 2-second intervals is recorded below. 4 MARKS
(a) Use the trapezoidal rule to estimate the distance travelled by the car in the first 10 seconds.
(b) Explain why this estimate is likely an underestimate if the car's acceleration is decreasing.
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Answer in your workbook.
8. Consider $f(x) = e^{-x}$ on $[0, 2]$. 4 MARKS
(a) Use the trapezoidal rule with 2 strips to estimate $\int_0^2 e^{-x} \, dx$. Give your answer to 3 decimal places.
(b) Find the exact value of the integral.
(c) Determine whether the trapezoidal estimate is an overestimate or underestimate, and explain why.
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Answer in your workbook.
1. $h = 1$. Ordinates: $0, 1, 4, 9, 16$. Estimate = $\frac{1}{2}(0 + 2 + 8 + 18 + 16) = 22$. Exact = $\frac{64}{3} \approx 21.33$.
2. $h = 1$. Ordinates: $1, \frac{1}{2}, \frac{1}{3}$. Estimate = $\frac{1}{2}(1 + 1 + \frac{1}{3}) = \frac{7}{6} \approx 1.167$.
3. $h = 3$. Estimate = $\frac{3}{2}(1.0 + 4.4 + 7.0 + 8.2 + 5.0) = \frac{3}{2}(25.6) = 38.4$.
4. $h = 1$. Ordinates: $1, 2, 9$. Estimate = $\frac{1}{2}(1 + 4 + 9) = 7$. Exact = $\bigl[\frac{x^4}{4} + x\bigr]_0^2 = 4 + 2 = 6$. Overestimate because $y = x^3 + 1$ is concave up on $[0, 2]$.
1. $y = x^2$ is concave up ($y'' = 2 > 0$). The straight-line tops of the trapeziums lie above the curve, so they cover more area than the true region underneath.
2. The estimate with 20 strips is likely more accurate because smaller strips mean the straight-line approximation follows the curve more closely, reducing the error.
1. B — $h = 1$, ordinates $0, 1, 4$. Estimate = $\frac{1}{2}(0 + 2 + 4) = 3$.
2. C — The formula is $\frac{h}{2}(y_0 + 2y_1 + 2y_2 + \\cdots + 2y_{n-1} + y_n)$, so all middle ordinates are doubled.
3. B — For concave up curves, the straight-line tops of the trapeziums sit above the curve, causing an overestimate.
4. C — $h = 1$, ordinates $0, 1, 4, 9, 16$. Estimate = $\frac{1}{2}(0 + 2 + 8 + 18 + 16) = 22$.
5. B — $h = \frac{b-a}{n}$ where $n$ is the number of strips.
6. A — $y = \\sqrt{x}$ is concave down ($y'' < 0$), so the trapezoidal rule underestimates the area.
7. B — The trapezoidal rule is exact for linear functions because straight-line segments perfectly match a straight line.
Q6 (3 marks): $h = 1$. Ordinates: $x = 0 \rightarrow 1$, $x = 1 \rightarrow 2$, $x = 2 \rightarrow 5$. Estimate $= \frac{1}{2}(1 + 4 + 5) = 5$ [2]. The exact value is $\frac{8}{3}$, so the estimate is an overestimate because $y = x^2$ is concave up [1].
Q7 (4 marks): (a) $h = 2$. Distance $\approx \frac{2}{2}(0 + 9.0 + 14.4 + 18.0 + 20.2 + 11.0) = 72.6$ m [2]. (b) The estimate may be an overestimate or underestimate depending on concavity in each interval; overall accuracy improves with more strips [2].
Q8 (4 marks): (a) $h = 1$. Ordinates: $e^0 = 1$, $e^{-1} \approx 0.368$, $e^{-2} \approx 0.135$. Estimate $= \frac{1}{2}(1 + 0.736 + 0.135) \approx 0.936$ [2]. (b) $y = e^{-x}$ is concave up, so the trapezoidal rule overestimates the area [2].
Trapezoidal Rule
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