Alternating Series Approximation

In summary, to approximate the sum of the given series with an error of less than .001, you need to find the number of terms where the difference between two consecutive sums is less than .001. This can be found by solving an inequality and in this case, it is n > 9. Therefore, 10 terms are required to approximate the sum with an error of less than .001. The Alternating series remainder theorem is used to find the error in an alternating series, where the error is less than or equal to the value of the next term in the series.
  • #1
bcjochim07
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Homework Statement


Determine the number of terms required to approximate the sum of the series with an error of less than .001

Sum ((-1)^(n+1))/(n^3) from n=1 to infinity

Homework Equations





The Attempt at a Solution



I guess this is what you do

1/(n+1)^3 < 1/1000

and solving you get n+1 > 10 so 10 terms

But that doesn't quite make sense to me, and I'm not sure why.

Alternating series remainder theorem:

|S-Sn| =|Rn|< or = to an+1

Could someone please explain this to me?
 
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  • #2
Ok so basically all the inequality is working out "From which point do the terms i add on become less significant than 0.001" which also answers the original question. Then you solved that inequality to see that they become less significant that 0.001 when n> 9. Thats all it means.
 
  • #3
Since this is an alternating series, each partial sum is BETWEEN the two previous sums. Yes, If you find a value of n such that the difference between two consecutive sums (which is just the value of the n th term) is less than 0.001, you know the error will be less than that.
 

1. What is an alternating series approximation?

An alternating series approximation is a method used in mathematics to approximate the value of a given series. It is specifically used for alternating series, which are series where the signs of the terms alternate between positive and negative.

2. How does alternating series approximation work?

Alternating series approximation works by finding the value of a partial sum of the series and then using that as an estimate for the actual value of the series. The error in this estimation can be controlled by using the Alternating Series Estimation Theorem.

3. What is the Alternating Series Estimation Theorem?

The Alternating Series Estimation Theorem states that if an alternating series satisfies certain conditions, the error in the approximation using the partial sum is less than or equal to the absolute value of the first neglected term. This allows for a controlled and accurate estimation of the value of the series.

4. When is alternating series approximation used?

Alternating series approximation is used in various fields of mathematics, such as calculus, to approximate the value of a given series. It is especially useful for series that do not have a closed form solution or are difficult to evaluate using other methods.

5. What are some examples of alternating series approximation in real-world applications?

Alternating series approximation has many real-world applications, such as in physics, engineering, and finance. For example, it can be used to approximate the value of a rapidly converging alternating series in a physics problem or to estimate the value of a financial portfolio over time. It is a versatile tool that can be applied in various scenarios to obtain accurate results.

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