Taylor series error term - graphical representation

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SUMMARY

The discussion focuses on the graphical representation of the second-order error term in Taylor series, emphasizing the potential for similar representations of higher-order error bounds. The participants reference the Mean Value Theorem as foundational to understanding these error terms. A specific example provided is the third-order error term, which incorporates a factorial in the denominator. Links to resources such as Karl's Calculus and Wolfram MathWorld are shared for further exploration of the topic.

PREREQUISITES
  • Understanding of Taylor series and their applications in calculus.
  • Familiarity with the Mean Value Theorem and its implications.
  • Basic knowledge of error analysis in mathematical approximations.
  • Graphical representation techniques in mathematical contexts.
NEXT STEPS
  • Explore graphical representations of higher-order Taylor series error bounds.
  • Study the implications of the Mean Value Theorem in calculus.
  • Investigate error analysis techniques in numerical methods.
  • Learn about the convergence of Taylor series and its graphical interpretations.
USEFUL FOR

Mathematicians, calculus students, educators, and anyone interested in advanced mathematical concepts related to Taylor series and error analysis.

wizkhal
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Hello all,
Recently I've found something very interesting concerning Taylor series.
It's a graphical representation of a second order error bound of the series.
Here is the link: http://www.karlscalculus.org/l8_4-1.html

My question is: is it possible to represent higher order error bounds in a similar way?
For example: third order error term would have "3! = 6" in a denominator...
I know that Taylor series is based on Mean Value Theorem and I know the proof of it.
However it would become much clearer if it was possible to represent error bounds in a graphical way.

Have a nice weekend.
 
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Yes, see any calculus book, or this

http://mathworld.wolfram.com/SchloemilchRemainder.html

It follows from the mean value theorem

Often in simple examples the error is well approximated by the next term as in

\sin(x) \sim \sum_{k=0}^\infty \frac{x^k}{k!} \sin\left(<br /> x+k \frac{\pi}{2}\right)
 
Last edited:

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