Chapter 4: Problem 17
Use the limit comparison test to determine whether each of the following series converges or diverges. $$ \sum_{n=1}^{\infty} \ln \left(1+\frac{1}{n^{2}}\right) $$
Short Answer
Expert verified
The series \( \sum_{n=1}^{\infty} \ln \left(1+\frac{1}{n^{2}}\right) \) converges.
Step by step solution
01
Understand the Series
We are given the series \( \sum_{n=1}^{\infty} \ln \left(1+\frac{1}{n^{2}}\right) \). To determine if it converges or diverges, we'll use the limit comparison test.
02
Choose a Comparison Series
A good comparison series is \( \sum_{n=1}^{\infty} \frac{1}{n^2} \), which is a p-series with \( p = 2 \). We know this series converges because \( p > 1 \).
03
Consider the Limit of Ratios
Use the limit comparison test by considering the terms \( a_n = \ln \left(1+\frac{1}{n^{2}}\right) \) and \( b_n = \frac{1}{n^{2}} \). Compute the limit: \[L = \lim_{n \to \infty} \frac{a_n}{b_n} = \lim_{n \to \infty} \frac{\ln \left(1+\frac{1}{n^{2}}\right)}{\frac{1}{n^{2}}}\]
04
Simplify the Limit
For \( n \) large, use the approximation \( \ln(1+x) \approx x \) for small \( x \). Therefore, \( \ln \left(1+\frac{1}{n^{2}}\right) \approx \frac{1}{n^{2}} \). Substitute this into the limit to simplify:\[L = \lim_{n \to \infty} \frac{\frac{1}{n^{2}}}{\frac{1}{n^{2}}} = \lim_{n \to \infty} 1 = 1\]
05
Apply the Limit Comparison Test
The limit \( L = 1 \) is finite and positive. Thus, by the limit comparison test, since \( \sum_{n=1}^{\infty} \frac{1}{n^2} \) converges, the original series \( \sum_{n=1}^{\infty} \ln \left(1+\frac{1}{n^{2}}\right) \) also converges.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Series Convergence
Series convergence is about deciding if the sum of the infinite series has a finite value or if it just keeps growing indefinitely. Understanding whether a series converges or diverges is crucial for properly analyzing sequences. Specifically, a series converges if the sequence of its partial sums approaches a finite limit. If it diverges, these partial sums do not approach any set value but continue to grow.When you want to determine if a series converges, there are different tests you can use. One common method is the **Limit Comparison Test**, which compares the terms of the series in question with those of a known series. If the comparison series is known to converge, and the ratio of the terms of the two series approaches a finite, specific number, then the original series also converges.For instance, in the original exercise, the limit comparison test was used to determine the convergence of the series \( \sum_{n=1}^{\infty} \ln \left(1+\frac{1}{n^{2}}\right) \) by comparing it with the convergent p-series \( \sum_{n=1}^{\infty} \frac{1}{n^2} \). Because the limit of the ratio of the two series equals 1, it implies convergence of the original series.
P-Series
A P-Series is a special kind of series that takes the form \( \sum_{n=1}^{\infty} \frac{1}{n^p} \), where \( p \) is a positive constant. The convergence of a p-series depends crucially on the value of \( p \).
- If \( p > 1 \), the p-series converges. This means the sum of all the terms results in a finite number.
- If \( p \leq 1 \), the p-series diverges, and the terms add up to infinity as you go to an infinite number of terms.
Logarithm Approximation
Logarithm approximation is a technique used to simplify logarithmic expressions, especially when the arguments are small. The approximation that is often used is \( \ln(1+x) \approx x \) when \( x \) is close to zero. This is particularly useful when examining the convergence of a series which includes the logarithmic function.In the given series \( \sum_{n=1}^{\infty} \ln \left(1+\frac{1}{n^{2}}\right) \), the logarithm approximation \( \ln \left(1+\frac{1}{n^{2}}\right) \approx \frac{1}{n^{2}} \), greatly simplifies calculations for large \( n \). It allows the original complex term to be easily compared to a simpler term \( \frac{1}{n^{2}} \), which was used in the limit comparison test. By approximating the logarithm function in this way, we can reveal the underlying structure of the series, leading to a straightforward application of convergence tests.