Alternating Series

Author: John J Weber III, PhD Corresponding Textbook Sections:

Expected Educational Results

Bloom’s Taxonomy

A modern version of Bloom’s Taxonomy is included here to recognize various different levels of understanding and to encourage you to work towards higher-order understanding (those at the top of the pyramid). All Objectives, Investigations, Activities, etc. are color-coded with the level of understanding.

Bloom’s Taxonomy for different levels of understanding
Figure 1.1: Bloom's Taxonomy

Alternating Series

Definition: Alternating Series

An Alternating Series is a series whose terms are alternatively positive and negative, i.e., ∑n=0∞[(−1)nan] or ∑n=0∞[(−1)n+1an]

Theorem: Alternating Series Estimation Theorem

Let S be the total sum of the convergent Alternating Series, ∑n=0∞(−1)nan. Let Sn be the the partial sum of the first n terms. Let Rn be the remainder that is defined as the difference between S and Sn. Then the absolute error is |Rn|≤|S−Sn|≤|an+1|.

Example 01:

  1. Find the partial sum (to six (6) decimal places), S11 for ∑n=1∞(−1)n+11n3.

  2. Find the maximum error of S11.

Solution:

  1. S10=1−0.125+0.037037−0.015625+0.008−0.004630 +0.002915−0.001953+0.001372−0.001+0.000751=0.901868

  2. The maximum error by the Alternating Series Estimation Theorem is |Rn|≤|a11+1|=|a12|=|−0.000578|=0.000578

Investigation 02

Find S6, to six (6) decimal places. Find the maximum error of S6.

  1. ∑n=1∞(−1)n+11n

  2. ∑n=1∞(−1)n1n2

  3. ∑n=1∞(−1)nln⁡(n)n2

  4. ∑n=0∞(−1)n+1n2e−n

Example 02:

Find the number of terms of ∑n=1∞(−1)n+11n3 are needed in the partial sum, Sn, so that the maximum error is |Rn|=0.0001.

Solution:

By the Alternating Series Estimation Theorem, |Rn|≤|an+1|=|1(n+1)3|=0.0001

⇒1(n+1)3=0.0001⇒(n+1)3=10.0001=10000

⇒n+1=100003=21.5443⇒n=20.5443⇒n=21

Note that n is rounded up.

Investigation 03

Find the number of terms of each of the following series that are needed in the partial sum, Sn, so that the maximum error is |Rn|=0.0001.

  1. ∑n=1∞(−1)n+11n

  2. ∑n=1∞(−1)n1n2

  3. ∑n=1∞(−1)nln⁡(n)n2

  4. ∑n=0∞(−1)n+1n2e−n

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Created: Monday, 20 June 2022 - 21:25 (EDT)