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Use the limit comparison test to determine whether each of the following series converges or diverges. $$ \sum_{n=1}^{\infty}\left(1-e^{-1 / n}\right)\left(\text { Hint: } 1 / e \approx(1-1 / n)^{n}, \text { so } 1-e^{-1 / n} \approx 1 / n .\right) $$

Short Answer

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The series diverges.

Step by step solution

01

Understanding the series

We are given the series \( \sum_{n=1}^{\infty}\left(1-e^{-1 / n}\right) \). We need to determine if this series converges or diverges using the limit comparison test.
02

Choose a comparison series

According to the hint, \( 1-e^{-1/n} \approx 1/n \) for large \( n \). Hence, we choose the comparison series \( \sum_{n=1}^{\infty} \frac{1}{n} \), which is the harmonic series. We know that the harmonic series \( \sum_{n=1}^{\infty} \frac{1}{n} \) diverges.
03

Apply Limit Comparison Test

The limit comparison test involves computing the limit: \[\lim_{n \to \infty} \frac{a_n}{b_n} = \lim_{n \to \infty} \frac{1-e^{-1/n}}{1/n}.\] Here, \( a_n = 1-e^{-1/n} \) and \( b_n = \frac{1}{n} \). Simplifying our limit expression we have:\[\lim_{n \to \infty} \left( 1-e^{-1/n} \right) \cdot n.\]
04

Evaluate the limit

To evaluate \( \lim_{n \to \infty} n(1-e^{-1/n}) \), notice that for large \( n \), we can approximate \( 1-e^{-1/n} \approx \frac{1}{n} \). Thus:\[\lim_{n \to \infty} n\left( 1-e^{-1/n} \right) = \lim_{n \to \infty} n\left( \frac{1}{n} \right) = \lim_{n \to \infty} 1 = 1.\]
05

Interpret the limit comparison result

Since \( \lim_{n \to \infty} \frac{a_n}{b_n} = 1 \) and this is a positive finite number, the limit comparison test tells us that the behavior of the series \( \sum a_n \) is the same as \( \sum b_n \). Since the harmonic series \( \sum \frac{1}{n} \) diverges, the given series \( \sum_{n=1}^{\infty}\left(1-e^{-1 / n}\right) \) also diverges.

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Key Concepts

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

Limit Comparison Test
The Limit Comparison Test is a powerful tool in calculus for determining the convergence or divergence of an infinite series. It works by comparing an unknown series with a more familiar series whose behavior is already understood. This test is particularly useful when the series terms resemble each other as they approach infinity.

Here’s how the limit comparison test works:
  • Suppose you have two series, \( \sum a_n \) and \( \sum b_n \).
  • To apply the test, compute the limit \( \lim_{n \to \infty} \frac{a_n}{b_n} \).
  • If this limit is a positive finite number, both series converge or both diverge.
Understanding the outcome relies on knowing the behavior of the comparison series. In our exercise, we use the harmonic series as our comparison series. Since the harmonic series is known to diverge, if our test gives a finite positive limit, our original series must also diverge.
Harmonic Series
The harmonic series is one of the most famous and classic examples in calculus known for its divergence. It is expressed as \( \sum_{n=1}^{\infty} \frac{1}{n} \). Despite the terms getting smaller and smaller as \( n \) increases, they do not decrease fast enough for the series to converge.

Here's why it's important:
  • The divergence of the harmonic series forms a common foundational point for analyzing other series.
  • It serves as a benchmark comparison for applying the limit comparison test.
  • Understanding the behavior of the harmonic series helps in quickly identifying the divergence of similar series.
In our exercise, recognizing that the harmonic series diverges allowed us to conclude the divergence of the series \( \sum_{n=1}^{\infty} (1 - e^{-1/n}) \) when using the limit comparison test.
Series Divergence
Divergence in the context of series means that as you sum more and more of the series' terms, the result keeps increasing without bound. Essentially, the total sum does not add up to any finite number. Identifying divergence involves applying tests and comparing series efficiently.

Key points to understand series divergence include:
  • Recognizing that if a series is divergent, its partial sums grow indefinitely.
  • Tests like the limit comparison test help us establish divergence by comparing with already known divergent series.
  • Simplifications and approximations play a crucial role when evaluating limits to check for divergence.
In our example, finding that the limit \( \lim_{n \to \infty} \frac{1-e^{-1/n}}{1/n} = 1 \) indicates that our series behaves similarly to the divergent harmonic series, confirming its divergence.

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Most popular questions from this chapter

Suppose that \(\left|\frac{a_{n+2}}{a_{n}}\right| \leq r<1\) for all \(n\). Can you conclude that \(\sum_{n=1}^{\infty} a_{n}\) converges?

Use the root test to determine whether \(\sum_{m=1}^{\infty} a_{n}\) converges, where \(a_{n}\) is as follows. $$ a_{n}=\frac{(\ln n)^{2 n}}{n^{n}} $$

For the following exercises, indicate whether each of the following statements is true or false. If the statement is false, provide an example in which it is false.Suppose that \(a_{n}\) is a sequence such that \(\sum_{n=1}^{\infty} a_{n} b_{n}\) converges for every possible sequence \(b_{n}\) of zeros and ones. Does \(\sum_{n=1}^{\infty} a_{n}\) converge absolutely?

[T] Find the first 1000 digits of \(\pi\) using either a computer program or Internet resource. Create a bit sequence \(b_{n}\) by letting \(b_{n}=1\) if the \(n\) th digit of \(\pi\) is odd and \(b_{n}=0\) if the \(n\) th digit of \(\pi\) is even. Compute the average value of \(b_{n}\) and the average value of \(d_{n}=\left|b_{n+1}-b_{n}\right|, n=1, \ldots, 999 .\) Does the sequence \(b_{n}\) appear random? Do the differences between successive elements of \(b_{n}\) appear random?

The following alternating series converge to given multiples of \(\pi .\) Find the value of \(N\) predicted by the remainder estimate such that the Nth partial sum of the series accurately approximates the left-hand side to within the given error. Find the minimum \(N\) for which the error bound holds, and give the desired approximate value in each case. Up to 15 decimals places, \(\pi=3.141592653589793 .\)[T] The Euler transform rewrites \(S=\sum_{n=0}^{\infty}(-1)^{n} b_{n}\) as \(S=\sum_{n=0}^{\infty}(-1)^{n} 2^{-n-1} \sum_{m=0}^{n}\left(\begin{array}{c}n \\ m\end{array}\right) b_{n-m}\). For the alternating harmonic series, it takes the form \(\ln (2)=\sum_{n=1}^{\infty} \frac{(-1)^{n-1}}{n}=\sum_{n=1}^{\infty} \frac{1}{n 2^{n}} .\) Compute partial sums of \(\sum_{n=1}^{\infty} \frac{1}{n 2^{n}}\) until they approximate \(\ln (2)\) accurate to within \(0.0001\). How many terms are needed? Compare this answer to the number of terms of the alternating harmonic series are needed to estimate \(\ln (2)\).

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