In mathematics, and more specifically in numerical analysis, the trapezoidal rule, also known as the trapezoid rule or trapezium rule, is a technique for approximating the definite integral.
The trapezoidal rule works by approximating the region under the graph of the function f(x) as a trapezoid and calculating its area.Â
The trapezoidal rule is to find the exact value of a definite integral using a numerical method. This rule is mainly based on the Newton-Cotes formula which states that one can find the exact value of the integral as an nth order polynomial.
Assume that f(x) be a continuous function on the given interval [a, b]. Now divide the intervals [a, b] into n equal subintervals with each of width,
Then the Trapezoidal Rule formula for area approximating the definite integral
Where, xi = a+iΔx
Δx = (b-a)/n, Such that x0 < x1< x2< x3<…..<xn = b,
When n →∞, R.H.S of the expression approaches the definite integral
Solved Examples of Trapezoidal Rule
Example 1:
Use the trapezoidal rule with n = 8 to estimate:
Solution:
Given, function:Â
we know that, a=1, b=5 and n=8.
Now, substitute the values in the formula, we get
Δx = (b-a)/n
Δx = (5-1)/8
Δx = 1/2
Now, divide the interval into 8 subintervals with the length of Δx = 1/2, with the following endpoints,
a=1, 3/2, 2, 5/2, 3, 7/2, 4, 9/2, 5 = b
Now, compute the functions with these endpoints,
f(x0) = f(1) = √2 = 1.4142135623731
2f(x1) = 2f(3/2) = √13 = 3.60555127546399
2f(x2) = 2f(2) = 2√5 = 4.47213595499958
2f(x3) = 2f(5/2) = √29 = 5.3851648071345
2f(x4) = 2f(3) = 2√10 = 6.32455532033676
2f(x5) = 2f(7/2) = √53 = 7.28010988928052
2f(x6) = 2f(4) = 2√17 = 8.24621125123532
2f(x7) = 2f(9/2) = √85 = 9.21954445729289
2f(x8) = 2f(5) = √26 = 5.09901951359278
Now, substitute the values in the trapezoidal rule formula,
= 1/4 (1.4142135623731 + 3.60555127546399 + 4.47213595499958 + 5.3851648071345 +Â 6.32455532033676 +7.28010988928052 + 8.24621125123532 + Â 9.21954445729289 + 5.09901951359278)
= 1/4( 51.0465060317)
=Â 12.7616265079
Which can be approximately written as 12.76
Hence,Â
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