

How to Apply the Trapezoidal Rule: Step-by-Step Guide and Example
The concept of trapezoidal rule formula plays a key role in mathematics and is widely applicable to both real-life situations and exam scenarios. It helps us estimate the area under a curve using a simple formula, perfect for last-minute revision and quick calculations.
What Is Trapezoidal Rule Formula?
The trapezoidal rule formula is a numerical integration method used to estimate the definite integral of a function, or simply the area under a curve between two points. Instead of rectangles, it uses trapezoids, making the estimate more accurate. You’ll find this concept applied in calculus, data analysis, and physics for fast area approximations.
Key Formula for Trapezoidal Rule
Here’s the standard formula: \[ \text{Area} = \frac{h}{2} \left[y_0 + 2(y_1 + y_2 + \ldots + y_{n-1}) + y_n\right] \] where \( h = \frac{b-a}{n} \), and \( y_0, y_1, ..., y_n \) are the function values at equally spaced points.
Cross-Disciplinary Usage
Trapezoidal rule formula is not only useful in Maths but also plays an important role in Physics, Computer Science, and daily logical reasoning. Students preparing for competitive exams like JEE or NEET will see its relevance in topics such as theoretical integration, area under speed-time graphs, and error estimation in experiments.
Step-by-Step Illustration
- Write the function and interval: For example, estimate \(\int_{0}^{4} x^2 dx\) using n = 4 subintervals.
The interval [0, 4] is split into n = 4 sections, so \(h = 1\).
- Find the function values:
\(y_0 = (0)^2 = 0\)
\(y_1 = (1)^2 = 1\)
\(y_2 = (2)^2 = 4\)
\(y_3 = (3)^2 = 9\)
\(y_4 = (4)^2 = 16\) - Apply the formula:
\(\text{Area} = \frac{1}{2} [0 + 2(1 + 4 + 9) + 16]\)
\(= \frac{1}{2} [0 + 28 + 16] = \frac{1}{2} [44] = 22\) - Final Answer:
The area under the curve \(y = x^2\) from 0 to 4 is approximately 22 sq. units using the trapezoidal rule.
Speed Trick or Vedic Shortcut
Here’s a quick trick: When points are equally spaced, just remember—add the first and last value, double all the middle values, multiply by interval width h/2. This shortcut helps save time in board exams or Olympiads.
Example Trick: If your y-values are 2, 5, 10, 7, 3 (for n=4), with h=1:
- Add endpoints: 2 + 3 = 5
- Add doubled middles: 2×(5+10+7) = 2×22 = 44
- Total sum: 5 + 44 = 49
- Multiply by h/2: (1/2) × 49 = 24.5
Simple! Vedantu often reviews these fast steps during live sessions so you get exam-ready.
Try These Yourself
- Use the trapezoidal rule formula to estimate the area under \(y = 2x\) between x = 0 and x = 4 with n=2.
- If your y-values are 3, 6, 8, 12, 18 for n = 4 and h = 1, what is the approximate area?
- Check if the area under \(y = x\) from 0 to 2 using n = 2 matches the exact value.
- Identify which method gives a better approximation—trapezoidal rule or Simpson’s rule—when the function is a quadratic.
Frequent Errors and Misunderstandings
- Forgetting to double only the “inner” y-values—only endpoints stay single.
- Using uneven intervals: The standard formula assumes equal spacing unless you use a special form.
- Not matching the value of n to the number of intervals (must be number of sections, not points).
- Leaving out h/2 at the end.
Relation to Other Concepts
The idea of trapezoidal rule formula connects closely with area under the curve and Simpson’s rule. Mastering this formula makes later topics like integration and error analysis in mathematics easier to handle.
Classroom Tip
A quick way to remember the trapezoidal rule formula is to picture a row of trapezoids under the curve, with only the first and last having one “base”, and all the others counted twice. Vedantu’s teachers recommend visual cues and practice problems for fast recall.
We explored trapezoidal rule formula—definition, formula, easy examples, mistakes to avoid, and its links to other important Maths concepts. Keep practicing with Vedantu to build confidence in numerical integration and area estimation!
- Simpson’s Rule: See comparison with the trapezoidal rule for exam questions.
- Integration: Explore integration techniques, both analytical and numerical.
- Definite Integral Calculator: Quickly compute definite integrals for practice or verification.
FAQs on Trapezoidal Rule Formula Explained with Stepwise Examples
1. What is the trapezoidal rule formula in Maths?
The trapezoidal rule is a numerical method used to approximate the definite integral of a function. It works by dividing the area under the curve into a series of trapezoids and summing their areas. The formula for the trapezoidal rule is: Area ≈ (h/2) * [f(x₀) + 2f(x₁) + 2f(x₂) + ... + 2f(xₙ₋₁) + f(xₙ)], where h is the width of each trapezoid (or subinterval), x₀ and xₙ are the lower and upper limits of integration, and f(xᵢ) represents the function's value at each subinterval endpoint.
2. How do you apply the trapezoidal rule for integration?
Applying the trapezoidal rule involves these steps:
- Divide the integration interval: Split the interval [a, b] into 'n' equal subintervals, each with width h = (b - a) / n.
- Evaluate the function: Calculate the function's value, f(xᵢ), at each subinterval endpoint (including the start and end points).
- Apply the formula: Use the trapezoidal rule formula to calculate the approximate area: Area ≈ (h/2) * [f(x₀) + 2f(x₁) + 2f(x₂) + ... + 2f(xₙ₋₁) + f(xₙ)].
3. What is the difference between Simpson's and trapezoidal rules?
Both Simpson's rule and the trapezoidal rule are numerical integration techniques, but they differ in their approximation methods:
- Trapezoidal rule approximates the function with straight lines between points, creating trapezoids.
- Simpson's rule uses parabolic curves (quadratic approximations) to fit the function, leading to greater accuracy, particularly for smoother curves.
4. What are the limitations of the trapezoidal rule?
The trapezoidal rule's accuracy is limited by several factors:
- Number of subintervals (n): Increasing 'n' improves accuracy but also increases computational effort.
- Function curvature: The rule performs less well with highly curved functions. More subintervals are needed to compensate for this.
- Oscillating functions: For functions that oscillate rapidly, many subintervals are required to obtain a reasonable approximation.
5. How is the error in the trapezoidal rule estimated?
The error in the trapezoidal rule is proportional to the second derivative of the function and the cube of the subinterval width. A general error bound formula is complex but can be simplified for certain functions. The error typically decreases as the number of subintervals increases.
6. Can the trapezoidal rule be used for uneven intervals?
While the standard trapezoidal rule uses equal subintervals, it can be adapted for uneven intervals. The formula becomes more complex, requiring individual trapezoid area calculations for each subinterval and summing them. However, the basic principle of approximating the area with trapezoids remains the same.
7. Why does the accuracy of the trapezoidal rule improve as segments increase?
Increasing the number of segments (subintervals) reduces the area difference between the trapezoids and the actual curve. This is because the linear approximations become increasingly closer to the actual function as the subintervals get smaller, leading to a more accurate approximation of the definite integral.
8. How does the trapezoidal rule relate to Riemann sums and rectangles?
The trapezoidal rule is closely related to Riemann sums. A Riemann sum uses rectangles to approximate the area under a curve. The trapezoidal rule can be seen as a refinement of the Riemann sum, using trapezoids instead of rectangles, which often leads to better approximations, especially for functions that are not perfectly horizontal within each interval.
9. What types of functions produce no error in the trapezoidal rule?
The trapezoidal rule will produce zero error for linear functions (straight lines) because the linear approximation perfectly matches the function. For other types of functions, the error will always be present unless an infinite number of subintervals are used, which is impractical.
10. Can the trapezoidal rule be derived using calculus proof?
Yes, the trapezoidal rule can be derived using calculus, specifically by integrating a linear interpolation of the function over each subinterval. The formula emerges by summing these individual integral approximations.
11. What are some real-world applications of the trapezoidal rule?
The trapezoidal rule finds applications in various fields, including:
- Engineering: Calculating areas, volumes, and other quantities from measured data.
- Physics: Approximating the work done by a variable force.
- Economics: Estimating the total revenue from a changing sales rate.
- Computer graphics: Approximating curves and surfaces.

















