Calculus I · Unit 3A · lesson
Simpson’s Rule
Learning objectives
Apply Simpson’s Rule with an even number of subintervals and understand why parabolic approximation is unusually accurate.
Simpson's Rule
Parabolas can approximate curvature better than lines
Simpson's Rule improves on straight-line approximation by fitting quadratic behavior across pairs of subintervals. This produces the characteristic weights and usually gives high accuracy for smooth functions. The method requires an even number of equal subintervals because each quadratic panel spans two of them.
The formula is easy to misuse if the data spacing or weight pattern is not checked first. Write the table of -values and weights before multiplying, and verify that the endpoints receive weight one. Simpson's Rule is still an approximation, not a symbolic antiderivative. Its strength is that it captures curvature efficiently, making it useful when function evaluations are available but exact integration is not.
For even ,
The alternating pattern is not optional bookkeeping; it comes from fitting quadratic pieces across pairs of subintervals.
Simpson’s Rule is exact for cubics
For on with , :
The exact integral is also .
u3a-simpson-01Use Simpson’s Rule with to estimate .
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Use values at 0, 1, and 2 with weights 1, 4, 1.
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After the explanation
Use the section idea
Make approximation error and limiting behavior explicit rather than hiding them behind a calculator result or an infinity symbol.
Numerical rules replace a curve with simple local shapes; improper integrals replace a forbidden endpoint or infinite interval with a limit.
Choose the rule and partition, estimate scale and sign, or write the correct defining limit before evaluating.
Treating an approximation as exact, using Simpson's Rule with an invalid partition, or substituting infinity as though it were a number.
Can you defend the estimate's scale or the improper integral's convergence from a written calculation?
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