Trapezoidal Rule

Trapezoidal Rule

Assessment

Flashcard

Mathematics

12th Grade

Hard

Created by

Wayground Content

FREE Resource

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15 questions

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1.

FLASHCARD QUESTION

Front

What is the Trapezoidal Rule?

Back

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 trapezoids rather than rectangles, providing a more accurate estimate.

2.

FLASHCARD QUESTION

Front

How do you calculate the area of a trapezoid?

Back

The area of a trapezoid can be calculated using the formula: Area = (1/2) * (b1 + b2) * h, where b1 and b2 are the lengths of the two parallel sides and h is the height.

3.

FLASHCARD QUESTION

Front

What is the formula for the Trapezoidal Rule?

Back

The formula for the Trapezoidal Rule is: \( T = \frac{b-a}{2n} \left( f(a) + 2 \sum_{i=1}^{n-1} f(x_i) + f(b) \right) \), where [a, b] is the interval, n is the number of trapezoids, and f(x) is the function being integrated.

4.

FLASHCARD QUESTION

Front

If there are 6 ordinates, how many trapeziums are formed?

Back

If there are 6 ordinates, 5 trapeziums are formed. The number of trapeziums is always one less than the number of ordinates.

5.

FLASHCARD QUESTION

Front

What is the significance of using more trapezoids in the Trapezoidal Rule?

Back

Using more trapezoids generally increases the accuracy of the approximation of the integral, as it allows for a better fit to the curve of the function.

6.

FLASHCARD QUESTION

Front

What is the error formula for the Trapezoidal Rule?

Back

The error in the Trapezoidal Rule can be estimated using the formula: \( E_T = -\frac{(b-a)^3}{12n^2} f''(\xi) \), where \( \xi \) is some value in the interval [a, b].

7.

FLASHCARD QUESTION

Front

What is the relationship between the number of intervals and the accuracy of the Trapezoidal Rule?

Back

The accuracy of the Trapezoidal Rule improves as the number of intervals (n) increases, reducing the width of each trapezoid and allowing for a better approximation of the area under the curve.

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