DP Math AI · HL / SL · Calculus

SL 5.8—Trapezoid rule

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Notes

What Is the Trapezoid Rule?

Sometimes, finding the exact value of a definite integral is difficult , either because the function has no neat antiderivative, or because you only have a table of data points rather than a formula. In these situations, numerical methods let us estimate the area under a curve without doing exact integration.

The trapezoid rule is one of the most important numerical integration methods at SL level.

Trapezoid Rule: A numerical method that approximates the definite integral ∫ab​f(x)dx (i.e. the area under a curve) by dividing the region into a series of trapezoids and summing their areas.

The core idea is simple:

  • Divide the interval [a,b] into n equal strips.
  • Over each strip, approximate the curve with a straight line connecting the two endpoints , this creates a trapezoid.
  • Add up the areas of all the trapezoids.
Note

The trapezoid rule is particularly valuable when working with discrete data (e.g. values recorded in a table) or with functions that are too complex to integrate analytically.

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← Previous topicSL 5.7—OptimisationNext topic →AHL 5.9—Differentiating standard functions and derivative rules
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