What are the limits of the convergence of the Maclaurin series for regarding error bounds?
While the Maclaurin series for converges at every fixed real and uniformly on each fixed bounded interval, this does not imply a uniformly small error over the entire real line. Furthermore, convergence does not guarantee that the error is strictly smaller at every point after every added term; the approximation quality can fluctuate locally depending on the degree and the specific value.
Conditions
- The function is .
- The series is the Maclaurin expansion centered at 0.
- Considering pointwise and uniform convergence properties.
Reasoning, step by step
- Acknowledge that the series converges pointwise for all .
- Acknowledge uniform convergence on any bounded interval .
- Note that 'uniform convergence on bounded intervals' is not the same as 'uniform convergence on '.
- Recognize that adding a term improves the match of derivatives at , but does not strictly reduce error everywhere simultaneously.
- Conclude that global error bounds are not uniform across the entire real line.
Example
The script states: 'For this function the series converges at every fixed real x, uniformly on each fixed bounded interval. This does not promise a uniformly small error over the entire real line or a strictly smaller error at every point after every added term.'
Common misconceptions
- Believing that pointwise convergence implies uniform convergence on the whole real line.
- Assuming that each new term strictly reduces the error at every compared to the previous partial sum.
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