Chapter 9: Problem 52
Determine whether the following series converge absolutely or conditionally, or diverge. $$\sum_{k=1}^{\infty}(-1)^{k} e^{-k}$$
Short Answer
Expert verified
Answer: The series converges absolutely.
Step by step solution
01
Absolute Convergence Test
Consider the absolute value of the series terms:
$$\left|(-1)^{k} e^{-k}\right| = e^{-k}$$
Now, test the convergence of the sum of these absolute values:
$$\sum_{k=1}^{\infty}e^{-k}$$
02
Using the Comparison Test
Since all the terms \(e^{-k}\) are positive, we can use the comparison test. Compare the series with a geometric series of the form:
$$\sum_{k=1}^{\infty}r^k$$
In this case, \(r=e^{-1}\). Note that a geometric series converges if \(|r|<1\), which is true for \(e^{-1}\)
03
Showing the Convergence of the Geometric Series
Since \(0< e^{-1}<1\), the geometric series converges:
$$\sum_{k=1}^{\infty}(e^{-1})^k = \frac{e^{-1}}{1-e^{-1}}$$
04
Conclude that the Series Converges Absolutely
Since our original series of absolute values is dominated by a convergent geometric series, it converges by the comparison test:
$$\sum_{k=1}^{\infty}e^{-k}$$
Therefore, the original series converges absolutely.
Final conclusion: The series $$\sum_{k=1}^{\infty}(-1)^{k} e^{-k}$$ converges absolutely.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Absolute Convergence
In the realm of infinite series, understanding the concept of absolute convergence is vital. An infinite series \( \sum a_k \) is said to converge absolutely if the series composed of its absolute values \( \sum |a_k| \) converges. This is a strong form of convergence because if a series converges absolutely, it also converges in the regular sense.
To test for absolute convergence, we take each element in the series and consider its absolute value, creating a new series. If this new series, like \( \sum_{k=1}^{\infty} e^{-k} \), converges according to standard convergence tests, then the original series \( \sum_{k=1}^{\infty}(-1)^{k} e^{-k} \) is declared to converge absolutely. This gives a clear and decisive conclusion about the behavior of the series, offering a solid ground when dealing with series that have both positive and negative terms.
To test for absolute convergence, we take each element in the series and consider its absolute value, creating a new series. If this new series, like \( \sum_{k=1}^{\infty} e^{-k} \), converges according to standard convergence tests, then the original series \( \sum_{k=1}^{\infty}(-1)^{k} e^{-k} \) is declared to converge absolutely. This gives a clear and decisive conclusion about the behavior of the series, offering a solid ground when dealing with series that have both positive and negative terms.
Conditional Convergence
Conditional convergence arises when an infinite series \( \sum a_k \) converges, but its series of absolute values \( \sum |a_k| \) does not. In simpler terms, this means the series behaves nicely (converges) in its regular form but not when you remove the alternating nature and consider only magnitude.
A classic example of a conditionally convergent series is the alternating harmonic series. However, our given series \( \sum_{k=1}^{\infty}(-1)^{k} e^{-k} \) does not fall under this category. Since it converges absolutely, as we proved when the absolute value series converged, it cannot be conditionally convergent. Remember: absolute convergence guarantees regular convergence, but conditional convergence is usually a sign of more "delicate" balancing in the series.
A classic example of a conditionally convergent series is the alternating harmonic series. However, our given series \( \sum_{k=1}^{\infty}(-1)^{k} e^{-k} \) does not fall under this category. Since it converges absolutely, as we proved when the absolute value series converged, it cannot be conditionally convergent. Remember: absolute convergence guarantees regular convergence, but conditional convergence is usually a sign of more "delicate" balancing in the series.
Comparison Test
The comparison test is a handy tool for determining the convergence of series. It compares the series in question with another series whose convergence is already known. If \( 0 \leq a_k \leq b_k \) for all \( k \) from some index onward, then:
- If \( \sum b_k \) converges, then \( \sum a_k \) also converges.
- If \( \sum a_k \) diverges, then \( \sum b_k \) also diverges.
Geometric Series
Geometric series are one of the simplest and most important types of series in mathematics. A geometric series takes the form \( \sum_{k=0}^{\infty} ar^k \), where \( a \) is the first term and \( r \) is the common ratio. The convergence of a geometric series depends on the value of \( r \):
In our solution, we identified that \( \sum_{k=1}^{\infty} e^{-k} \) behaves like a geometric series with ratio \( r = e^{-1} \), which is less than 1. This insight allowed us to confirm its convergence easily, as any geometric series with such \( r \) must converge. This knowledge is indispensable when facing series with exponential terms.
- The series converges if \( |r| < 1 \)
- The series diverges if \( |r| \geq 1 \)
In our solution, we identified that \( \sum_{k=1}^{\infty} e^{-k} \) behaves like a geometric series with ratio \( r = e^{-1} \), which is less than 1. This insight allowed us to confirm its convergence easily, as any geometric series with such \( r \) must converge. This knowledge is indispensable when facing series with exponential terms.