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Determine whether the series is convergent or divergent. $$ \sum_{n=2}^{\infty} \frac{\ln n}{n^{2}} $$

Short Answer

Expert verified
The series is convergent.

Step by step solution

01

Identify the Series Type

We have the series \( \sum_{n=2}^{\infty} \frac{\ln n}{n^{2}} \). This is an infinite series with terms of the form \( a_n = \frac{\ln n}{n^2} \). The series has a form similar to a \( p\)-series, but with a logarithmic adjustment.
02

Compare with Known Convergent Series

The standard \( p\)-series \( \sum \frac{1}{n^p} \) converges if \( p > 1 \). Here, our term \( \ln n \) grows slower than any polynomial, whereas \( \frac{1}{n^2} \) represents a convergent \( p\)-series with \( p = 2 \). Hence, we suspect the given series is convergent because the logarithmic term will not significantly affect the convergence provided by \( n^{-2} \).
03

Utilize the Integral Test for Convergence

To determine convergence, apply the integral test. Consider the function \( f(x) = \frac{\ln x}{x^2} \) that is continuous, positive, and decreasing on \([2, \infty)\). Evaluate the improper integral:\[\int_{2}^{\infty} \frac{\ln x}{x^2} \, dx.\]Perform integration by parts, where \( u = \ln x \) and \( dv = \frac{1}{x^2} \, dx \). Then \( du = \frac{1}{x} \, dx \) and \( v = -\frac{1}{x} \). The integral becomes:\[-\frac{\ln x}{x} \bigg|_2^{\infty} + \int_{2}^{\infty} \frac{1}{x^2} \, dx.\]The first term evaluates to 0 as \( x \to \infty \) and \(-\ln 2/2\) at 2, and the second integral \( \int_{2}^{\infty} \frac{1}{x^2} \, dx = \left. -\frac{1}{x} \right|_2^{\infty} = \frac{1}{2} \) is convergent. Both terms result in a finite value.
04

Conclusion

Since the integral \( \int_{2}^{\infty} \frac{\ln x}{x^2} \, dx \) converges, by the integral test, the series \( \sum_{n=2}^{\infty} \frac{\ln n}{n^2} \) is also convergent.

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Key Concepts

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

Integral Test
The Integral Test is a tool used to determine the convergence or divergence of infinite series. It links the behavior of an infinite series to an improper integral. If the terms of a series \((a_n)\) are positive, continuous, and decreasing, the series can be closely related to a function \(f(x)\):
\[a_n = f(x).\]
For the series \(\sum_{n=2}^{\infty}a_n\), if the improper integral
\[\int_{2}^{\infty} f(x) \, dx\]
converges, then the series converges. Conversely, if the integral diverges, the series diverges. This method helps in situations where comparison with a \(p\)-series or direct analysis is complicated.

Here, applying the Integral Test to the series \(\sum_{n=2}^{\infty} \frac{\ln n}{n^2}\), we found the associated continuous function \(f(x) = \frac{\ln x}{x^2}\). Evaluating its integral from 2 to infinity, the integral converged, confirming the series' convergence.
Improper Integrals
Improper integrals help in evaluating areas under curves extending indefinitely, either in terms of the function having an infinite range or having an unbounded region. These integrals are crucial when applying the Integral Test for determining series convergence.

In our situation, the improper integral:
\[\int_{2}^{\infty} \frac{\ln x}{x^2} \, dx \]
was assessed using integration by parts. Key steps included choosing components: \(u = \ln x\) with \(dv = \frac{1}{x^2} \, dx\). Through these calculations, we observed the importance of stepping through the mechanics of integration by parts.

The result of solving this integral was a finite value, indicating the convergence of the integral. This convergence translated to confirming the convergence of the given series.
Logarithmic Functions
Logarithmic functions, such as \(\ln x\), are vital in mathematical analysis, often included in series terms. In the given series, the term \(\ln n\) modifies the convergence behavior slightly. Though slower growing compared to polynomials and often deemed negligible compared to powers like \(n^{-2}\), the logarithm warrants special attention during analysis.

The primary properties of \(\ln x\) relevant here include:
  • Its slow rate of growth compared to polynomial functions.
  • A smooth, continuous curve appropriate for integration techniques.
  • Its behavior as \(x\) becomes large, helping determine long-term series behavior.
These properties ensure that when combined with a decreasing polynomial factor, the logarithm won't prevent convergence, as highlighted in this exercise. Being aware of logarithmic properties helps in evaluating their impact on the rest of the terms within a series.

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Most popular questions from this chapter

Find the Taylor series for \(f(x)\) centered at the given value of \(a\). [ Assume that \(f\) has a power series expansion. Do not show that \(\left.R_{n}(x) \rightarrow 0 .\right]\) Also find the associated radius of convergence. $$ f(x)=x^{6}-x^{4}+2, \quad a=-2 $$

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(a) Find the Taylor polynomials up to degree 3 for \(f(x)=\tan x\) centered at \(a=0 .\) Graph \(f\) and these polynomials on a common screen. (b) Evaluate \(f\) and these polynomials at \(x=\pi / 6, \pi / 4\), and \(\pi / 3\). (c) Comment on how the Taylor polynomials converge to \(f(x) .\)

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The resistivity \(\rho\) of a conducting wire is the reciprocal of the conductivity and is measured in units of ohm-meters \((\Omega-\mathrm{m}) .\) The resistivity of a given metal depends on the temperature according to the equation \(\rho(t)=\rho_{20} e^{\alpha(t-2 \omega)}\) where \(t\) is the temperature in \(^{\circ} \mathrm{C}\). There are tables that list the values of \(\alpha\) (called the temperature coefficient) and \(\rho_{20}\) (the resistivity at \(20^{\circ} \mathrm{C}\) ) for various metals. Except at very low temperatures, the resistivity varies almost linearly with temperature and so it is common to approximate the expression for \(\rho(t)\) by its first-or second-degree Taylor polynomial at \(t=20 .\) $$ \begin{array}{l}{\text { (a) Find expressions for these linear and quadratic }} \\ {\text { approximations. }} \\ {\text { (b) For copper, the tables give } \alpha=0.0039 /^{\circ} \mathrm{C} \text { and }} \\ {\rho_{20}=1.7 \times 10^{-8} \Omega \text { -m. Graph the resistivity of copper }} \\\ {\text { and the linear and quadratic approximations for }} \\ {-250^{\circ} \mathrm{C} \leqslant t \leqslant 1000^{\circ} \mathrm{C} \text { . }} \\\ {\text { (c) For what values of } t \text { does the linear approximation agree }} \\ {\text { with the exponential expression to within one percent? }}\end{array} $$

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