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 into subintervals, the difference between the upper sum (overestimation) and the lower sum (underestimation) is exactly . This demonstrates that the error decreases inversely with the number of partitions .
Conditions
- Uniform partition of radius into steps
- Linear circumference function
Reasoning, step by step
- Define the width of each subinterval as .
- Identify that the upper sum uses the right endpoint (larger circumference) and the lower sum uses the left endpoint (smaller circumference) for each strip.
- Note that for a linear function, the difference between consecutive max and min heights in a strip is constant relative to the slope.
- Calculate the area of the 'excess' triangles or rectangles formed by the gap between upper and lower sums.
- Sum these gaps across all intervals.
- Derive the final expression: Total Error ? 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 . Here . So Error .
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 .
- Confusing the absolute error with the relative error percentage.
Watch the explanation
YouTubeThe essence of calculus
5:52 – 7:13Watch this moment ↗
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