Chapter 8: Problem 22
Use the Direct Comparison Test to determine the convergence of the given series; state what series is used for comparison. $$\sum_{n=2}^{\infty} \frac{1}{n^{2} \ln n}$$
Short Answer
Expert verified
The series \( \sum_{n=2}^{\infty} \frac{1}{n^2 \ln n} \) converges by comparison to the convergent p-series \( \sum \frac{1}{n^2} \).
Step by step solution
01
Understand the Series
The series we are given to analyze is \( \sum_{n=2}^{\infty} \frac{1}{n^2 \ln n} \). We aim to determine whether this series converges or diverges using the Direct Comparison Test.
02
Choose a Comparison Series
To use the Direct Comparison Test, we need to compare our series to a known convergent or divergent series. The series \( \sum_{n=2}^{\infty} \frac{1}{n^2} \) is a good candidate because it is a p-series with \( p = 2 \), which converges. Since \( \ln n > 1 \) for all \( n \geq 2 \), we find that \( \frac{1}{n^2 \ln n} < \frac{1}{n^2} \).
03
Apply the Direct Comparison Test
According to the Direct Comparison Test, if \( 0 \leq a_n \leq b_n \) for all \( n \) and \( \sum b_n \) converges, then \( \sum a_n \) converges. In this case, let \( a_n = \frac{1}{n^2 \ln n} \) and \( b_n = \frac{1}{n^2} \). Since \( 0 \leq \frac{1}{n^2 \ln n} \leq \frac{1}{n^2} \) for \( n \geq 2 \) and \( \sum \frac{1}{n^2} \) converges, \( \sum \frac{1}{n^2 \ln n} \) also converges.
04
Conclude the Analysis
Since we have established that \( \frac{1}{n^2 \ln n} < \frac{1}{n^2} \) and the series \( \sum \frac{1}{n^2} \) is convergent, by the Direct Comparison Test, the series \( \sum \frac{1}{n^2 \ln n} \) must also converge. Thus, the given series converges.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Convergence Tests
Convergence tests are essential tools in calculus to determine whether a series converges or diverges. When dealing with infinite series, convergence implies that as the series progresses indefinitely, it approaches a finite limit. Divergence, on the other hand, suggests the series does not settle at a limit. One of the widely used methods is the Direct Comparison Test.
This test involves comparing two series term by term. If you can show that all terms of your series of interest are less than or equal to a corresponding known convergent series, then your series converges. Conversely, if all terms are greater than or equal to a known divergent series, then your series diverges. The key is selecting an appropriate series for comparison, often a simpler one whose behavior is already established.
P-Series
A p-series is a series of the form \( \sum_{n=1}^{\infty} \frac{1}{n^{p}} \). Whether a p-series converges or diverges depends on the value of \( p \). Specifically:
- If \( p > 1 \), the series converges.
- If \( p \leq 1 \), the series diverges.
Series Comparison
Series comparison is a strategic approach employed when dealing with series where determining convergence directly is challenging. By comparing the given series to another series with known behavior, one can infer the convergence or divergence of the first series. The process involves strategically choosing a comparison series; ideally, a simpler series, like a p-series, that already has known convergence properties.
- Identify if the terms are greater or smaller than the known series.
- Apply the Direct Comparison Test according to the relation between the terms.
Logarithmic Functions
Logarithmic functions, often represented as \( \ln(n) \), play a critical role in series analysis, especially when they appear in the terms of the series. In the examined series, the denominator, \( n^2 \ln n \), features the logarithmic function, indicating its potential influence on convergence behavior.Understanding how logarithms behave is crucial.
- Logarithmic growth is slower than any power of \( n \) for large values of \( n \).
- This property means that in series like \( \frac{1}{n^2 \ln n} \), the logarithm may help the series converge faster when compared to \( \frac{1}{n^2} \).