Chapter 4: Problem 51
In the following exercises, use an appropriate test to determine whether the series converges. $$ \left.a_{k}=\left(\frac{k}{k+\ln k}\right)^{2 k} \text { (Hint: } a_{k}=\left(1+\frac{\ln k}{k}\right)^{-(k / \ln k) \ln k^{2}} \cdot\right) $$
Short Answer
Expert verified
The series diverges by the Test for Divergence.
Step by step solution
01
Rewrite the Series
The series is given by \( a_k = \left( \frac{k}{k+\ln k} \right)^{2k} \). We begin by rewriting this expression using the hint provided: \( a_k = \left( 1 + \frac{\ln k}{k} \right)^{-\left( \frac{k}{\ln k} \right) \cdot \ln k^2} \).
02
Recognize it as an Exponential Series
By the expression \( a_k = \left( 1 + \frac{\ln k}{k} \right)^{-\left( \frac{k}{\ln k} \right) \cdot \ln k^2} \), we notice it resembles the exponential form \( (1 + x)^n \). Applying the limit definition of the exponential function, it simplifies to \( e^{-n \cdot x} \).
03
Simplify the Expression
For large \( k \), the expression becomes: \( a_k \approx \exp\left( - \frac{k}{\ln k} \cdot \ln k^2 \cdot \frac{\ln k}{k} \right) = \exp(-2) \). Thus, each term in the sequence tends to a constant as \( k \to \infty \).
04
Use the Test for Divergence
The Test for Divergence states that if \( \lim_{k \to \infty} a_k eq 0 \), then the series \( \sum a_k \) diverges. Since \( \lim_{k \to \infty} a_k = e^{-2} eq 0 \), the series does not converge to zero.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Exponential Series
Exponential series are a powerful concept in calculus and analysis, often used to understand complex expressions. Here, we have the series \( a_k = \left( 1 + \frac{\ln k}{k} \right)^{-\left( \frac{k}{\ln k} \right) \cdot \ln k^2} \). This form can be associated with the exponential series because it closely resembles the pattern \((1 + x)^n\), which connects naturally to exponential functions.
The magic of exponential series lies in their relationship with the number \( e \), the base of natural logarithms. The formula \((1 + \frac{x}{n})^n \to e^x\) as \( n \to \infty \), is a fundamental property that helps simplify and solve such problems.
In our series, this relationship explains why simplification leads us to the expression \( e^{-n \cdot x} \). This transformation is crucial in determining the behavior of the series as \( k \) becomes very large.
The magic of exponential series lies in their relationship with the number \( e \), the base of natural logarithms. The formula \((1 + \frac{x}{n})^n \to e^x\) as \( n \to \infty \), is a fundamental property that helps simplify and solve such problems.
In our series, this relationship explains why simplification leads us to the expression \( e^{-n \cdot x} \). This transformation is crucial in determining the behavior of the series as \( k \) becomes very large.
Test for Divergence
The Test for Divergence is a straightforward yet essential tool in determining the convergence of a series. It states that if the limit of the terms of a series \( \lim_{k \to \infty} a_k eq 0 \), then the series \( \sum a_k \) must diverge. This means that the series does not reach a finite sum and effectively grows indefinitely.
For the given series, \( a_k \approx \exp(-2) \) as \( k \to \infty \). Because \( \exp(-2) eq 0 \), this directly applies the Test for Divergence indicating that the series cannot converge.
Using this test is simple: calculate the limit of the series terms, and if it's anything other than zero, the series diverges. This foundational approach helps quickly identify series that don't sum to a finite value.
For the given series, \( a_k \approx \exp(-2) \) as \( k \to \infty \). Because \( \exp(-2) eq 0 \), this directly applies the Test for Divergence indicating that the series cannot converge.
Using this test is simple: calculate the limit of the series terms, and if it's anything other than zero, the series diverges. This foundational approach helps quickly identify series that don't sum to a finite value.
Limit Definition
Understanding the limit definition is vital in series analysis. When evaluating whether a series converges, the behavior of the terms as \( k \to \infty \) is crucial. In essence, if the terms of the series do not approach zero, the series can't converge.
In our exercise, the limit \( \lim_{k \to \infty} a_k \) led us to examine the form of \( a_k \) at large \( k \). Using limits, we derived \( a_k \approx e^{-2} \), which shows constancy rather than diminishing towards zero.
The limit definition clarifies how terms that settle on a non-zero constant result in a series that diverges confidently. Grasping this abstract yet practical tool is indispensable for evaluating infinite series effectively.
In our exercise, the limit \( \lim_{k \to \infty} a_k \) led us to examine the form of \( a_k \) at large \( k \). Using limits, we derived \( a_k \approx e^{-2} \), which shows constancy rather than diminishing towards zero.
The limit definition clarifies how terms that settle on a non-zero constant result in a series that diverges confidently. Grasping this abstract yet practical tool is indispensable for evaluating infinite series effectively.
Expression Simplification
Expression simplification is a crucial skill that makes solving complex series manageable. Starting with the original series expression \( a_k = \left( \frac{k}{k+\ln k} \right)^{2k} \), we rely on algebraic manipulation and hint provided to transform it into a recognizable exponential form.
Switching between forms, particularly into \( a_k = \left( 1 + \frac{\ln k}{k} \right)^{-\left( \frac{k}{\ln k} \right) \cdot \ln k^2} \), allows us to utilize known mathematical principles effectively. Here, it transformed into a situation ripe for applying limits.
By simplifying the sequence down to \( \exp(-2) \), expression simplification aids in seeing clearly whether other series tests, like the Test for Divergence, can be applied. This process underscores the importance of transformation techniques to assess series behavior.
Switching between forms, particularly into \( a_k = \left( 1 + \frac{\ln k}{k} \right)^{-\left( \frac{k}{\ln k} \right) \cdot \ln k^2} \), allows us to utilize known mathematical principles effectively. Here, it transformed into a situation ripe for applying limits.
By simplifying the sequence down to \( \exp(-2) \), expression simplification aids in seeing clearly whether other series tests, like the Test for Divergence, can be applied. This process underscores the importance of transformation techniques to assess series behavior.