Estimating error using comparison/limit comparison test

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The discussion centers on the confusion surrounding the correct formula for estimating error using the comparison and limit comparison tests in series. The user questions whether to use R_{n} ≤ T_{n} ≤ ∫(n+1 to ∞) or R_{n} ≤ T_{n} ≤ ∫(n to ∞) for approximating the sum of a series. It is noted that textbooks may use both methods depending on the type of series, such as p-series or geometric series. A suggestion is made to visualize the problem by drawing a diagram that highlights crucial areas. Ultimately, the choice of index for integration affects the estimation method used.
motornoob101
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I am confused about the right formula for this. Is it

R_{n} \leq T_{n} \leq \int_{n+1}^{\infty} or R_{n} \leq T_{n} \leq\int_{n}^{\infty}?

Say for example, I want to estimate the error in using the sum of the first 10 terms to approximate the sum of the series.

The textbook seems to use both methods (Use n for the p-series and n+1 for the geometric series)

(as seen in the examples here)

http://p3t3rl1.googlepages.com/textsolutionconfused.jpg

and I am quite confused which it is the right way. I am wondering if someone could clear this up for me. Thanks!
 
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It is always best to draw a picture, not an exact one, but one that contains the crucial rectangles. The index depends on how the integration area is split into equidistant parts and whether you start counting by ##0## or by ##1##.
 

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