Alternating Series Estimation Theorem

In summary, the alternating series estimation theorem can be used to estimate the error in a series expansion for a definite integral. However, when dealing with different limits of integration, the series used to estimate the error may need to be adjusted accordingly.
  • #1
DivGradCurl
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Consider the following:

[tex] \int _0 ^1 \sqrt{1+x^4} \mbox{ } dx = \left[ x + \frac{x^5}{2\cdot 5} - \frac{1}{2!2^2 9}x^8 + \frac{1\cdot 3}{3!2^3 13}x^{12} - \frac{1\cdot 3\cdot 5}{4!2^4 17}x^{16} +\dotsb \right] _0 ^1 [/tex]

According to the alternating series estimation theorem, we find:

[tex] \left| R_n \right| \leq b_{n+1} < \left| \mbox{ error } \right| \Longrightarrow \frac{1\cdot 3}{3!2^3 13} < 10^{-2} \Longrightarrow \int _0 ^1 \sqrt{1+x^4} \mbox{ } dx \approx 1 + \frac{1}{2\cdot 5} - \frac{1}{2!2^2 9} \approx 1.09 [/tex]

The limits up there are easy to work with. So, how about if we'd had

[tex] \int _{0.7} ^{1.5} \sqrt{1+x^4} \mbox{ } dx [/tex]

instead? Do we need to take into account those limits when applying the alternating series estimation theorem? I mean:

[tex] \left| R_n (x) \right| \leq b_{n+1} (x) < \left| \mbox{ error } \right| [/tex]

Thanks​
 
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  • #2
It seems pretty clear you'd have to take into account the limits, doesn't it? Different limits result in different alternating series so different error estimates from the nth term.

In your hypothetical case, there is another complication in that if you just plugged in the new limits to the series about ##x=0##, the series wouldn't converge for the upper limit. However, if you were to expand the integrand about ##x=0.7##, the series would converge over the entire range of integration, and you could just plug in the limits after integration. Clearly, in this case, dealing with the limits results in a different series from your original example.
 
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FAQ: Alternating Series Estimation Theorem

What is the Alternating Series Estimation Theorem?

The Alternating Series Estimation Theorem is a mathematical theorem that provides a way to estimate the value of an alternating series. An alternating series is a series in which the signs of the terms alternate between positive and negative. This theorem is used to determine how close the value of the series is to its limit, or the value it approaches as more terms are added.

What is the significance of the Alternating Series Estimation Theorem?

The Alternating Series Estimation Theorem is significant because it allows us to approximate the value of a series without having to add an infinite number of terms. This can be particularly useful in cases where the series is difficult to evaluate or has an infinite number of terms.

How is the Alternating Series Estimation Theorem used?

To use the Alternating Series Estimation Theorem, we first need to determine if the series we are dealing with is an alternating series. If it is, then we can use the theorem to find an approximation for the value of the series by calculating the error bound. The error bound is the difference between the actual value of the series and the estimate obtained using the theorem.

What are the conditions for the Alternating Series Estimation Theorem to hold?

The Alternating Series Estimation Theorem only holds under certain conditions. These conditions are that the series must be alternating, meaning the signs of the terms alternate between positive and negative, and that the terms must decrease in absolute value as more terms are added. If these conditions are met, then the theorem can be applied to find a valid estimate for the value of the series.

Can the Alternating Series Estimation Theorem be used for all alternating series?

No, the Alternating Series Estimation Theorem cannot be used for all alternating series. It can only be used for alternating series that meet the conditions mentioned above. If these conditions are not met, then the theorem cannot be applied and other methods must be used to evaluate the series.

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