## Riemann Sums

### Riemann sums are a method used in calculus to approximate the area under a curve or the value of an integral

Riemann sums are a method used in calculus to approximate the area under a curve or the value of an integral. They were developed by the 19th-century mathematician Bernhard Riemann.

The concept of Riemann sums involves dividing the interval of the function into smaller subintervals and approximating the area of each subinterval as a rectangle or a series of rectangles. The width of these subintervals is determined by the partition of the interval, which is the number of subintervals used.

To calculate a Riemann sum, the first step is to choose a partition of the interval. This partition divides the interval into subintervals of equal or varying widths. Next, a sample point is selected from each subinterval. These sample points can be chosen arbitrarily or according to some specific rule.

Once the partition and sample points are determined, you can calculate the area of each rectangle. The height of each rectangle is determined by evaluating the function at the corresponding sample point, and the width is the width of the subinterval. The sum of all the areas of the rectangles is the Riemann sum.

There are three common types of Riemann sums, depending on how the sample points are chosen:

1. Left Riemann Sum: The left endpoint of each subinterval is chosen as the sample point.

2. Right Riemann Sum: The right endpoint of each subinterval is chosen as the sample point.

3. Midpoint Riemann Sum: The midpoint of each subinterval is chosen as the sample point.

As the number of subintervals in the partition increases, the Riemann sum becomes a better approximation of the actual area under the curve or the value of the integral. In the limit, as the width of the subintervals approaches zero and the partition becomes infinitely fine, the Riemann sum becomes the definite integral of the function.

Riemann sums are often used as an introductory concept to help understand the concept of integration and to approximate values that are difficult or impossible to calculate analytically. They are also essential in the development of more advanced numerical integration techniques.

##### More Answers:

The Relationship Between Acceleration and Velocity | Understanding the Antiderivative in MathematicsUnderstanding Antiderivatives | The Integral of Velocity for Finding Object Displacement Over Time

Mastering Summation Formulas | Calculating Arithmetic, Geometric, and Harmonic Series