Calculate an error bound of this interpolation value

In summary, the Taylor Series error form for the interpolation value is given by error< \frac{M_n}{n!}|x^n|, where Mn is an upperbound on the nth derivative between 0 and x. In this specific case, the 3rd derivative of ln(1+x) is 2/((1+x)^3) and the upper bound on that between 0 and x=1 is 2. Therefore, the error bound for ln(1+1) is 0.333333333333333333. It is unclear if this error bound is meant to be for each side or overall, as it could be interpreted as either 0.1666666666666666666666 each side
  • #1
JimmyJockstrap
23
0
I attached the file. I am up to 1(c).

Would the error bound of the interpolation value just be taylor series error term?

Thanks
 

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  • #2
Yes, that's just the Taylor Series error form:
[tex]error< \frac{M_n}{n!}|x^n|[/tex]
Where Mn is an upperbound on the nth derivative between 0 and x.
 
  • #3
so the 3rd derivative of ln(1+x)= 2/((1+x)^3)

And the upper bound on that between 0 and x=1, since I was solving ln(1+1), is 2?



so Mn=

so error<(2/(3!))*1^3=0.333333333333333333?

I was wondering is the error bound meant to be 0.333333333 each side or 0.3333333 overall so is it 0.1666666666666666666666 each side(ie. positive and negative) or 0.3333333333 a side so 0.66666666666666666666666 overall both sides?
 

1. What is an interpolation value?

An interpolation value is a predicted or estimated value that lies between two known data points. It is calculated using mathematical methods such as linear interpolation or polynomial interpolation.

2. Why is it important to calculate an error bound for an interpolation value?

Calculating an error bound helps to determine the accuracy and reliability of the interpolation value. It provides a measure of how close the estimated value is to the actual value, allowing for a better understanding of the validity of the interpolation method used.

3. How is an error bound calculated for an interpolation value?

An error bound is typically calculated by finding the difference between the actual value and the estimated value, and then dividing it by the actual value. This gives a percentage or ratio that represents the error or deviation from the actual value.

4. Can the error bound of an interpolation value be negative?

No, the error bound of an interpolation value cannot be negative. It represents the magnitude of the error or deviation from the actual value, so it will always be a positive value.

5. Is there a standard formula for calculating an error bound for an interpolation value?

There is no one standard formula for calculating an error bound for an interpolation value. The method used to calculate the error bound may vary depending on the type of interpolation and the specific data set being analyzed.

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