How Many Terms Are Needed for 0.01 Accuracy in an Alternating Series?

  • Thread starter WayneH
  • Start date
  • Tags
    Integral
In summary, to find the sum of the alternating series \sum((-2)^n)/n! to an accuracy of 0.01, one needs to find the first term that is smaller than 0.01 in absolute value. Other approximations such as Riemann, Trapezoidal, and Simpson may not be suitable for this problem. It is important to note that this is a calculus-level question and should be posted in the Calculus & Beyond section.
  • #1
WayneH
1
0
Q: How many terms of the alternating series [tex]\sum((-2)^n)/n![/tex] needed to find the sum to an accuray of 0.01?

What approximations r going to help? I can not do with Riemann,Trapezoidal and Simpson.
 
Physics news on Phys.org
  • #2
WayneH said:
Q: How many terms of the alternating series [tex]\sum((-2)^n)/n![/tex] needed to find the sum to an accuray of 0.01?

What approximations r going to help? I can not do with Riemann,Trapezoidal and Simpson.
This is not a precalculus question. You should post problems like this in the Calculus & Beyond section.

Your text should provide information about error estimates for alternating series, namely that the first unused term in the series gives a bound for the error.
 

FAQ: How Many Terms Are Needed for 0.01 Accuracy in an Alternating Series?

1. What is an integral approximation?

An integral approximation is a method of estimating the value of a definite integral using numerical techniques. It involves dividing the integral into smaller parts and calculating the approximate area under the curve using these smaller parts.

2. Why do we need integral approximations?

Integral approximations are necessary because many integrals cannot be solved analytically. They are also useful for solving complex integrals that would otherwise be difficult or impossible to solve by hand.

3. What are some common methods of integral approximation?

Some common methods of integral approximation include the trapezoidal rule, Simpson's rule, and the midpoint rule. These methods use different techniques to divide the integral into smaller parts and calculate the approximate area under the curve.

4. How accurate are integral approximations?

The accuracy of an integral approximation depends on the method used and the number of subdivisions used to calculate the approximate area. Generally, the more subdivisions used, the more accurate the approximation will be.

5. Can integral approximations be used for any type of integral?

No, integral approximations are most commonly used for definite integrals, where the limits of integration are known. They can also be used for some improper integrals, but may not be accurate in all cases. Additionally, integral approximations are not suitable for solving indefinite integrals.

Similar threads

Replies
1
Views
1K
Replies
2
Views
1K
Replies
6
Views
2K
Replies
1
Views
911
Replies
7
Views
2K
Replies
16
Views
3K
Back
Top