Skip to content
← All questions

What is the specific error magnitude between the upper and lower Riemann sums for a uniform partition of the circle's area?

For a uniform partition of the radius [0,R][0, R] into nn subintervals, the difference between the upper sum (overestimation) and the lower sum (underestimation) is exactly 2πR2n\frac{2\pi R^2}{n}. This demonstrates that the error decreases inversely with the number of partitions nn.

Conditions

  • Uniform partition of radius RR into nn steps
  • Linear circumference function C(r)=2πrC(r) = 2\pi r

Reasoning, step by step

  1. Define the width of each subinterval as Δr=R/n\Delta r = R/n.
  2. Identify that the upper sum uses the right endpoint (larger circumference) and the lower sum uses the left endpoint (smaller circumference) for each strip.
  3. Note that for a linear function, the difference between consecutive max and min heights in a strip is constant relative to the slope.
  4. Calculate the area of the 'excess' triangles or rectangles formed by the gap between upper and lower sums.
  5. Sum these gaps across all nn intervals.
  6. Derive the final expression: Total Error =n×(slope×Δr)×Δr/2= n \times (\text{slope} \times \Delta r) \times \Delta r / 2? No, simpler view: The total vertical span covered by the difference is effectively the range of the function times the width? Actually, for monotonic functions, Upper - Lower =(f(R)−f(0))Δr= (f(R)-f(0))\Delta r. Here f(R)=2πR,f(0)=0f(R)=2\pi R, f(0)=0. So Error =2πR⋅(R/n)=2πR2/n= 2\pi R \cdot (R/n) = 2\pi R^2/n.

Example

The script states: 'On a uniform partition, the upper and lower sums differ by 2πR²/n. The error tends to zero...'

Common misconceptions

  • Assuming the error depends on the square of nn.
  • Confusing the absolute error with the relative error percentage.

Watch the explanation

Explore next

Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.