Approximation of second derivative of a smooth function

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SUMMARY

The discussion centers on the approximation of the second derivative of a smooth function, specifically addressing the equation presented in the attached image. The approximation is characterized by the term $$ \mathcal{O}(h^2) $$, which signifies that the error in the approximation decreases quadratically as h approaches zero. The participants clarify that while the limit of h approaching zero yields an exact second derivative, the inclusion of the $$ \mathcal{O}(h^2) $$ term is crucial for understanding the behavior of the approximation for small values of h, indicating the nature of the error involved.

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  • Understanding of calculus, specifically derivatives and limits.
  • Familiarity with asymptotic notation, particularly Big O notation.
  • Knowledge of smooth functions and their properties.
  • Basic mathematical analysis skills.
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Mathematicians, students of calculus, and anyone involved in numerical analysis or approximation methods will benefit from this discussion.

TheCanadian
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Hi,

I've attached an image of an equation I came across, and the text describes this as an approximation to the second derivative. Everything seems to be exact to me (i.e. not an approximation) if the limit of h was taken to 0. Is that the only reason why it's said to be an approximation or is there any other reason? Also, what exactly is $$ \mathcal{O}(h^2) $$ and why is it included? Isn't the first whole term (i.e. the fraction) the only necessary term to describe the second derivative of ## \varphi ##?
 

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The second derivative is the limit to the fraction as h>0. [itex]O(h^2)[/itex] means the remainder for small h is roughly a constant times [itex]h^2[/itex].
 

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