Can a Bound be Found for the Error in Higher Order Taylor Series?

In summary, the conversation is about finding an expression for a bound on the sum of higher order terms in a Taylor expansion of a function. The possibility of finding an upper bound for the error of the higher order terms is discussed, with the suggestion that it would require some conditions on the higher derivatives of the function at the given point. A link to Taylor's theorem and its estimates of the remainder is also provided.
  • #1
hadron23
28
1
Hello,

I am trying to come up with an expression for a bound on the sum of higher order terms, above second order. Consider the following Taylor expansion of a function f(x) around a point a,

[tex]f(x) = f(a) + \frac{f^{(1)}(a)}{1!}(x-a) + \frac{f^{(2)}(a)}{2!}(x-a)^2+ \frac{f^{(3)}(a)}{3!}(x-a)^3+...
[/tex]

Is it possible to come up with a value [tex]M[/tex] such that

[tex]
\begin{align}
&\left|\left|f(x) - [f(a) + \frac{f^{(1)}(a)}{1!}(x-a)]\right|\right|_2^2 \le M\\
&\Rightarrow \left|\left|\frac{f^{(2)}(a)}{2!}(x-a)^2+ \frac{f^{(3)}(a)}{3!}(x-a)^3+...\right|\right|_2^2 \le M
\end{align}
[/tex]

That is, come up with an upper bound on the error of the higher order terms.

Thanks
 
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  • #2
I suspect you would need some conditions on the higher derivatives of f(x) at x=a. Otherwise they might get large fast.
 

What is the bound on Taylor Series Error?

The bound on Taylor Series Error is a mathematical concept that quantifies the difference between an actual function and its approximation using a Taylor series. It is used to determine the accuracy of the approximation and is often expressed as a function of the nth derivative of the function at a specific point.

How is the bound on Taylor Series Error calculated?

The bound on Taylor Series Error is calculated using the Lagrange remainder formula, which takes into account the value of the nth derivative of the function at a specific point and the distance between that point and the center of the Taylor series approximation. This formula helps to determine an upper bound on the error of the approximation.

Why is the bound on Taylor Series Error important?

The bound on Taylor Series Error is important because it allows us to determine the accuracy of an approximation using a Taylor series. By calculating the error bound, we can determine how close the approximation is to the actual function, and we can determine how many terms of the series are needed to achieve a desired level of accuracy.

How can the bound on Taylor Series Error be used in real-world applications?

The bound on Taylor Series Error can be used in various fields such as physics, engineering, and finance, where approximations of functions are commonly used. It can help in the design and analysis of experiments, the development of models and simulations, and the estimation of error in numerical calculations.

What are some limitations of the bound on Taylor Series Error?

One limitation of the bound on Taylor Series Error is that it assumes that the function can be represented by a Taylor series. This may not always be the case, especially for functions with discontinuities or singularities. Additionally, the error bound may not provide exact values for the error, but rather an upper bound, making it an estimation rather than a precise calculation.

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