Calculate the Taylor’s inequality error bound M|x − a|^(n+1)/(n+1)! for a Taylor polynomial, or find the smallest degree n that meets a target error.
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Taylor Inequality Error Formula
The following formula is used to calculate the Taylor inequality error.
Variables:
- E is an upper bound on the absolute Taylor remainder, not the actual error
- M bounds |f^(n+1)(t)| throughout the segment between a and x
- r = |x − a| is the distance from the Taylor center to the evaluation point
- (n+1)! is the factorial of n+1
To calculate the Taylor inequality error, multiply the maximum value of the (n+1)th derivative by the radius raised to the power of n+1, and then divide by the factorial of n+1.
What is Taylor Inequality Error?
Taylor inequality error is an estimation of the error made when using a Taylor polynomial to approximate a function. It is based on the remainder term of Taylor's theorem, which provides a bound on the error. This error bound is useful for determining the accuracy of the approximation and for deciding how many terms of the Taylor series are needed to achieve a desired level of precision.
How to Calculate Taylor Inequality Error?
The following steps outline how to calculate the Taylor Inequality Error.
- First, determine a valid upper bound M on the absolute (n+1)th derivative throughout the segment from a to x. In custom degree search the same M must cover every tested derivative order.
- Next, determine the distance r = |x − a|.
- Next, gather the formula from above: E = M * r^(n+1) / (n+1)!.
- Finally, calculate the Taylor Inequality Error (E).
- After inserting the variables and calculating the result, check your answer with the calculator above.
Example Problem :
Use the following variables as an example problem to test your knowledge.
Upper bound M on the absolute (n+1)th derivative throughout the segment = 24
Radius (r) = 0.5
For n = 3, E = 24 × 0.5^4 / 4! = 0.0625, so |R₃(x)| ≤ 0.0625. This is a bound, not a claim that the actual error equals 0.0625.
