Midpoint Rule

The Midpoint Rule divides an interval into equal subintervals and calculates the midpoint of each by averaging its endpoints. The function value at each midpoint determines the rectangle's height. Multiplying height by width gives each rectangle's area, and summing all areas approximates the total area under the curve.

The midpoint of a subinterval typically lies closer to the average behavior of the function across that interval. This positioning reduces systematic errors from overestimation or underestimation that occur when using left or right endpoints, resulting in a more balanced and accurate area approximation.

As the number of rectangles increases and their widths decrease, the rectangular approximation more closely follows the curve's shape. The estimated area improves and approaches the true area of the region, making the method increasingly accurate with progressively finer subdivisions of the interval.

The midpoint is calculated by averaging the two endpoints of the subinterval. If a subinterval spans from point a to point b, the midpoint is (a + b) / 2. This midpoint value is then used to evaluate the function and determine the rectangle's height.

Geometrically, the Midpoint Rule represents an irregular region bounded by a curve as a collection of rectangles with equal widths. Each rectangle's height is determined by the function value at its base's midpoint. The sum of these rectangular areas provides a visual and computational approximation of the total area.

The Midpoint Rule is a numerical method for solving area problems when exact calculation is impractical. It provides a systematic approach to approximate areas under curved boundaries, making it valuable for application of integration problem solving in real-world contexts like estimating irregular regions.

First, divide the interval into equal subintervals. Second, find each subinterval's midpoint by averaging endpoints. Third, evaluate the function at each midpoint to get rectangle heights. Finally, multiply each height by the subinterval width and sum all rectangular areas to obtain the total approximation.