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Section 10.2 Error in Taylor series
Objectives
Use Taylor’s theorem with remainder to approximate functions near a point.
Interpret remainder terms in both Lagrange and integral forms.
Estimate approximation error using Lagrange’s bound.
Taylor’s theorem: For any other \(x_{0}\in I\) there exists some \(\alpha_{n}\) between \(x_{0}\) and \(c\) (which depends on \(x_{0}\) and \(c\) and \(n\) ) such that
\begin{equation*}
f(x_{0})=\qty(\sum_{k=0}^{n-1}\frac{f\psup k(c)}{k!}(x_0-c)^k)+\frac{f\psup n(\alpha_{n})}{n!}(x_{0}-c)^{n}\text{.}
\end{equation*}
That is, \(R_{n-1}(x_{0})=\dfrac{f\psup n(\alpha_{n})}{n!}(x_{0}-c)^{n}\text{,}\) for some \(\alpha_{n}\) between \(x_{0}\) and \(c\text{.}\)
Integral form of remainder function:
\begin{equation*}
R_{n}(x)=\frac{1}{n!}\int_{c}^{x}(x-t)^{n}f\psup{n+1}(t)\dd{t}
\end{equation*}
Lagrange error bound: If \(|f\psup{n+1}(x)|\le M\) for \(|x-a|\le d\text{,}\) then
\begin{equation*}
|R_{n}(x)|\le\frac{M}{(n+1)!}|x-a|^{n+1}
\end{equation*}
for \(|x-a|\le d\text{.}\)