/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 10 Determine if the alternating ser... [FREE SOLUTION] | 91Ó°ÊÓ

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Determine if the alternating series converges or diverges. Some of the series do not satisfy the conditions of the Alternating Series Test. $$\sum^{\infty}(-1)^{n+1} \frac{1}{\ln n}$$

Short Answer

Expert verified
The series converges by the Alternating Series Test.

Step by step solution

01

Identify the Series

The given series is \( \sum^{\infty}_{n=2}(-1)^{n+1} \frac{1}{\ln n} \). This is an alternating series where the general term is \( a_n = \frac{1}{\ln n} \).
02

Check Monotonicity

To apply the Alternating Series Test, the sequence \( a_n = \frac{1}{\ln n} \) must be decreasing in value for sufficiently large \( n \). As \( n \) increases, \( \ln n \) increases. Since \( \frac{1}{\ln n} \) is the reciprocal of an increasing function, \( \frac{1}{\ln n} \) is indeed a decreasing sequence.
03

Check Limit Condition

For the Alternating Series Test, the limit of \( a_n \) as \( n \to \infty \) must be zero. Notice that as \( n \to \infty \), \( \ln n \to \infty \) and therefore \( \frac{1}{\ln n} \to 0 \).
04

Apply the Alternating Series Test

The Alternating Series Test states that if a series is alternating, its terms decrease in absolute value, and the limit of its terms as \( n \to \infty \) is 0, then the series converges. Since \( a_n = \frac{1}{\ln n} \) satisfies these conditions, the series converges.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Convergence of series
In mathematics, determining the convergence of a series involves establishing whether the sum of a series approaches a specific value as more terms are added. For an alternating series like \( \sum^{\infty}_{n=2}(-1)^{n+1} \frac{1}{\ln n} \), we can often use the Alternating Series Test (AST) to assess convergence.

According to the AST, a series converges if two main conditions are met:
  • The absolute value of the terms in the series decreases monotonically, or becomes non-increasing.
  • The limit of the sequence's terms is zero, as \( n \) approaches infinity.
In the given series, these conditions are satisfied. The general term \( a_n = \frac{1}{\ln n} \) tends to decrease as \( n \) increases because \( \ln n \) becomes larger, thus fulfilling the first condition. Furthermore, as \( n \to \infty \), the value of \( \frac{1}{\ln n} \) approaches zero, meeting the second condition. Together, these confirm the series' convergence.
Monotonicity in sequences
Monotonicity is a key concept when analyzing sequences for convergence, especially with the Alternating Series Test. A sequence is said to be monotonic if it is always increasing or always decreasing.
For the sequence \( a_n = \frac{1}{\ln n} \), checking monotonicity is crucial. Since \( \ln n \) increases with \( n \), its reciprocal, \( \frac{1}{\ln n} \), must decrease. This decreasing nature of the sequence means that it is monotonic.

In this context, understanding monotonic sequences helps in applying the necessary conditions of the Alternating Series Test to ascertain convergence. Since \( \frac{1}{\ln n} \) demonstrates a clear, consistent decrease as \( n \) grows, it satisfies the monotonicity requirement of the test, supporting the series' convergence claim.
Limits of sequences
Limits are a fundamental aspect when dealing with series and sequences. The limit of a sequence determines the behavior of the sequence as \( n \) tends towards infinity. For the Alternating Series Test, confirming that the sequence terms \( a_n \) approach zero is vital.
For our series, the limit of \( a_n = \frac{1}{\ln n} \) as \( n \to \infty \) is calculated. As \( n \) increases, \( \ln n \) also increases without bound. Consequently, \( \frac{1}{\ln n} \) shrinks toward zero.

By demonstrating that the terms approach zero, we satisfy one of the crucial criteria needed for verifying convergence by the Alternating Series Test. The sequence reaching zero means the alternating positive and negative terms contribute less and less to the total sum, ensuring that the series converges to a finite value.

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Most popular questions from this chapter

It is not yet known whether the series $$ \sum_{n=1}^{\infty} \frac{1}{n^{3} \sin ^{2} n} $$converges or diverges. Use a CAS to explore the behavior of the series by performing the following steps. a. Define the sequence of partial sums $$ s_{k}=\sum_{n=1}^{k} \frac{1}{n^{3} \sin ^{2} n} $$ What happens when you try to find the limit of \(s_{k}\) as \(k \rightarrow \infty ?\) Does your CAS find a closed form answer for this limit? b. Plot the first 100 points \(\left(k, s_{k}\right)\) for the sequence of partial sums. Do they appear to converge? What would you estimate the limit to be? c. Next plot the first 200 points \(\left(k, s_{k}\right) .\) Discuss the behavior in your own words. d. Plot the first 400 points \(\left(k, s_{k}\right) .\) What happens when \(k=355 ?\) Calculate the number \(355 / 113 .\) Explain from you calculation what happened at \(k=355 .\) For what values of \(k\) would you guess this behavior might occur again?

Which of the sequences converge, and which diverge? Give reasons for your answers. $$a_{n}=\frac{4^{n+1}+3^{n}}{4^{n}}$$

Use a CAS to perform the following steps for the sequences. a. Calculate and then plot the first 25 terms of the sequence. Does the sequence appear to be bounded from above or below? Does it appear to converge or diverge? If it does converge, what is the limit \(L ?\) b. If the sequence converges, find an integer \(N\) such that \(\left|a_{n}-L\right| \leq 0.01\) for \(n \geq N .\) How far in the sequence do you have to get for the terms to lie within 0.0001 of \(L ?\) $$a_{n}=\sqrt[n]{n}$$

Show by example that \(\Sigma\left(a_{n} / b_{n}\right)\) may diverge even though \(\Sigma a_{n}\) and \(\Sigma b_{n}\) converge and no \(b_{n}\) equals 0

Show by example that \(\Sigma\left(a_{n} / b_{n}\right)\) may converge to something other than \(A / B\) even when \(A=\Sigma a_{m}, B=\Sigma b_{n} \neq 0,\) and no \(b_{n}\) equals 0

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