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Use the limit comparison test to determine whether each of the following series converges or diverges. $$ \sum_{n=1}^{\infty}\left(\frac{\ln n}{n}\right)^{2} $$

Short Answer

Expert verified
The series diverges.

Step by step solution

01

Identify a Comparison Series

The series to compare with is similar in form: \( \sum_{n=1}^{\infty} \frac{1}{n^2} \). This is a known convergent p-series with \( p = 2 \) since any p-series \( \sum_{n=1}^{\infty} \frac{1}{n^p} \) converges for \( p > 1 \).
02

Compute the Limit for the Limit Comparison Test

Apply the limit comparison test by computing the limit \( L \) of the ratio of the terms of the given series and the comparison series as \( n \to \infty \). The given series term is \( a_n = \left(\frac{\ln n}{n}\right)^2 \), and the comparison series term is \( b_n = \frac{1}{n^2} \). Calculate:\[L = \lim_{n \to \infty} \frac{a_n}{b_n} = \lim_{n \to \infty} \frac{\left(\frac{\ln n}{n}\right)^2}{\frac{1}{n^2}} = \lim_{n \to \infty} \left(\ln n\right)^2\].
03

Evaluate the Limit

Evaluate \( \lim_{n \to \infty} \left(\ln n\right)^2 \). As \( n \) grows, \( \ln n \) also increases, and thus \( \left(\ln n\right)^2 \rightarrow \infty \). Therefore, \( L = \infty \).
04

Conclude Comparison Result

Since the limit \( L = \infty \), this tells us that the terms of our series \( a_n \) grow faster than the terms of the comparison series \( b_n \). However, for the limit comparison test, a non-zero finite \( L \) less than \( \infty \) implies both series behave the same way; since \( L = \infty \), it suggests \( a_n \) diverges faster than \( b_n \).
05

State Conclusion: Divergence

Since the computed \( L = \infty \) instead of being a finite non-zero number, the series \( \sum_{n=1}^{\infty}\left(\frac{\ln n}{n}\right)^{2} \) diverges based on its term's behavior.

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Key Concepts

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

Infinite Series
An infinite series is a sum of terms that goes on forever. It can be represented as \( \sum_{n=1}^{\infty} a_n \), where \( a_n \) are the individual terms. These series can either converge to a certain value or diverge. For example, if we keep adding smaller and smaller numbers, like \( \frac{1}{2} \), \( \frac{1}{4} \), \( \frac{1}{8} \), and so on, the sum approaches a number. That's a convergent series.
But not all series behave this way. Some grow without bounds, such as the series of natural numbers: \( 1 + 2 + 3 + \ldots \). This is a divergent series. Understanding the behavior of an infinite series is crucial in many areas of math and science. Knowing if they converge or diverge can help solve problems related to calculating areas under curves, solving differential equations, and many other applications.
Divergence
Divergence occurs when the sum of an infinite series grows without approaching a finite limit. In simpler terms, if adding up all the terms in the series results in an infinitely large value, the series diverges. A classic example of a divergent series is the harmonic series: \( \sum_{n=1}^{\infty} \frac{1}{n} \), which increases indefinitely.
In the context of the exercise, the series \( \sum_{n=1}^{\infty}\left(\frac{\ln n}{n}\right)^{2} \) is shown to diverge. Using the limit comparison test, it's clear that the terms of the given series grow faster compared to the reference series \( \sum_{n=1}^{\infty} \frac{1}{n^2} \), thus indicating divergence.
Understanding divergence is important for differentiating between series that can be summed to find a solution or be used for predictions and those that cannot.
Convergence
Convergence refers to an infinite series that approaches a specific value. When a series converges, it means that as you sum more and more terms, the total sum gets closer and closer to a particular number.
To determine convergence, mathematicians use different tests, such as the limit comparison test. This method helps decide if a series behaves similarly to a known convergent series. For example, a p-series \( \sum_{n=1}^{\infty} \frac{1}{n^p} \) with \( p > 1 \) is known to converge.
In the given exercise, the comparison series \( \sum_{n=1}^{\infty} \frac{1}{n^2} \) converges because it is a p-series with \( p = 2 \), which is greater than 1. However, the given series with the logarithmic term does not converge despite the similarity in form, simply because the logarithmic component causes its terms to grow much faster. Understanding convergence helps in finding exact or approximate solutions in numerous mathematical contexts.

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Most popular questions from this chapter

Is the series convergent or divergent? $$ \sum_{n=1}^{\infty} \frac{2^{n}}{n^{4}} $$

The following problems consider a simple population model of the housefly, which can be exhibited by the recursive formula \(x_{n+1}=b x_{n}\), where \(x_{n}\) is the population of houseflies at generation \(n\), and \(b\) is the average number of offspring per housefly who survive to the next generation. Assume a starting population \(x_{0}\). Find \(\lim _{n \rightarrow \infty} x_{n}\) if \(b>1, b<1\), and \(b=1\).

The following advanced exercises use a generalized ratio test to determine convergence of some series that arise in particular applications when tests in this chapter, including the ratio and root test, are not powerful enough to determine their convergence. The test states that if \(\lim _{n \rightarrow \infty} \frac{a_{2 n}}{a_{n}}<1 / 2\), then \(\sum a_{n}\) converges, while if \(\lim _{n \rightarrow \infty} \frac{a_{2 n+1}}{a_{n}}>1 / 2\), then \(\sum a_{n}\) diverges. Let \(a_{n}=\frac{\pi^{\ln n}}{(\ln n)^{n}} .\) Show that \(\frac{a_{2 n}}{a_{n}} \rightarrow 0\) as \(n \rightarrow \infty\).

In the following exercises, use either the ratio test or the root test as appropriate to determine whether the series \(\sum a_{k}\) with given terms \(a_{k}\) converges, or state if the test is inconclusive. $$ a_{n}=\left(n^{1 / n}-1\right)^{n} $$

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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