Evaluating Taylor Series at the Mid-Point

In summary, "Evaluating Taylor Series at the Mid-Point" discusses the importance of assessing Taylor series approximations at their midpoint to enhance accuracy in representing functions. It emphasizes the potential errors when evaluating at endpoints versus midpoints and suggests that midpoints often yield more precise estimates. The article further explores mathematical techniques used to analyze convergence and error bounds, ultimately advocating for midpoint evaluations in practical applications of Taylor series.
  • #1
thatboi
133
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Hi all,
I came across the following stackexchange post and was wondering if anyone could give any elaboration for why the answer claims that evaluating the Taylor Series resulted in ##\mathcal{O}(\epsilon^{3})## errors? I have not encountered such an expansion before.
EDIT: The equation at hand is:
$$f(x+\epsilon n, x) = f(x,x) + \epsilon n^{\mu}\frac{\partial f(x+\epsilon n,x)}{\partial n^{\mu}}\vert_{x+\frac{\epsilon}{2}n} + \mathcal{O}(\epsilon^{3}) $$.
 
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  • #2
thatboi said:
Hi all,
I came across the following stackexchange post and was wondering if anyone could give any elaboration for why the answer claims that evaluating the Taylor Series resulted in ##\mathcal{O}(\epsilon^{3})## errors? I have not encountered such an expansion before.
To keep PF threads as self-contained as possible, could you post a summary here of the answer you're asking about?
 
  • #3
renormalize said:
To keep PF threads as self-contained as possible, could you post a summary here of the answer you're asking about?
Ah that is true. I have edited the question.
 
  • #4
thatboi said:
Ah that is true. I have edited the question.
Thanks. To see why the posted equation has errors of ##\mathcal{O}(\epsilon^{3})## rather than ##\mathcal{O}(\epsilon^{2})##, take a look at: https://en.wikipedia.org/wiki/Midpoint_method.
 

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