Approximating the Sum of a Series to Within a Given Error Bound

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In summary, to estimate the sum from 2 to infinity of 1 / (n^2 + 4) within an error bound of 0.1, you can use the integral approximation and set two inequalities to determine the range of values for n. Once you have the value of n, you can use it in another inequality to approximate the sum.
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APolaris
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The question is: estimate the sum, from 2 to infinity, of 1 / (n^2 + 4) to within 0.1 of exact value.

I have the following: the integral from n to inf. of 1 / (x^2 + 4) is (pi/4 - 1/2 arctan(n/2)).

Next, in order to find the number of partial sums to use, set Sn + the integral from n+1 to infinity < S < Sn + the integral from n to infinity.

This gives (pi/4 - 1/2 arctan[(n+1)/2]) < (remainder) < (pi/4 - 1/2 arctan(n/2)).

I can only assume from here that you are meant to subtract the lesser from the greater and set (1/2 arctan[(n+1)/2]) - 1/2 arctan(n/2) < 0.2. So arctan((n+1)/2) - arctan(n/2) < 0.4. What?
 
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The error of the integral approximation will be between the two integrals you have, so you want
[tex]\int_{n+1}^\infty \frac{dx}{x^2 + 4} \leq 0.1 \leq \int_n^\infty \frac{dx}{x^2 + 4}[/tex]
These two separate inequalities will tell you what range of values of n you should choose to approximate the series within an error bound of 0.1. For this problem, it turns out there is only one integer between these two integrals.
[tex]\frac{\pi}{4} - \frac{1}{2}\arctan\left(\frac{n + 1}{2}\right) \leq 0.1[/tex]
for example gives us the lower bound when solved of
[tex]n \geq 2\tan\left(\frac{\pi}{2}-0.2\right)-1 \approx 8.86631[/tex]
Once you have the value of n, you can use it in the inequality
[tex]s_n + \int_{n+1}^\infty \frac{dx}{x^2 + 4} \leq s \leq s_n + \int_n^\infty \frac{dx}{x^2 + 4}[/tex]
Adding the two values and dividing by 2 does not change the error of the value, so you can approximate the value s by taking the average of the two values outside.
 
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FAQ: Approximating the Sum of a Series to Within a Given Error Bound

What is series estimation/error?

Series estimation/error is a statistical method used to estimate the value of a variable based on a series of past values. It involves analyzing the pattern and trend of the data to make a prediction about future values. Series error refers to the difference between the predicted value and the actual value.

How is series estimation used in scientific research?

Series estimation is commonly used in scientific research to make predictions about future trends or values based on past data. It can also be used to identify patterns and relationships between variables, which can help inform further research and experiments.

What are the limitations of series estimation?

Series estimation is based on past data and assumes that the underlying patterns and trends will continue in the future. This means that it may not be accurate if there are significant changes or disruptions in the data. Additionally, series estimation is not suitable for predicting sudden, unexpected events.

How is series error calculated?

Series error is calculated by taking the difference between the predicted value and the actual value. This difference is then divided by the actual value and multiplied by 100 to get a percentage error. A lower percentage error indicates a more accurate prediction.

Can series estimation be used for all types of data?

Series estimation is best suited for data that follows a predictable pattern or trend over time. It may not be suitable for data with random fluctuations or outliers. Additionally, series estimation is most effective when there is a sufficient amount of data available to identify a clear pattern or trend.

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