Problem 70
Question
Which of the sequences \(\left\\{a_{n}\right\\}\) in Exercises \(27-90\) converge, and which diverge? Find the limit of each convergent sequence. $$ a_{n}=\left(\frac{n}{n+1}\right)^{n} $$
Step-by-Step Solution
Verified Answer
The sequence converges, and its limit is \( \frac{1}{e} \).
1Step 1: Understand the Problem
We are given the sequence \( a_n = \left( \frac{n}{n+1} \right)^n \) and need to determine if it converges or diverges, and find the limit if it converges.
2Step 2: Analyze the Sequence
The sequence is \( a_n = \left( \frac{n}{n+1} \right)^n \). As \( n \to \infty \), the fraction \( \frac{n}{n+1} \to 1 \). Our task is to understand the behavior of the sequence as \( n \) becomes very large.
3Step 3: Use Logarithms for Simplification
Consider \( \ln(a_n) = n \ln\left( \frac{n}{n+1} \right) \). Expanding this gives \( n(-\ln(1 + \frac{1}{n})) \). For large \( n \), we use the approximation \( \ln(1 + x) \approx x \) for small \( x \). Thus, \( \ln(1 + \frac{1}{n}) \approx \frac{1}{n} \).
4Step 4: Simplify Using Approximation
Substitute the approximation: \( n(-\ln(1 + \frac{1}{n})) \approx n(-\frac{1}{n}) = -1 \). Thus, \( \ln(a_n) \approx -1 \) as \( n \rightarrow \infty \).
5Step 5: Exponentiate to Find Limit
Exponentiating both sides gives \( a_n = e^{\ln(a_n)} \approx e^{-1} \). Thus, \( \lim_{n \to \infty} a_n = e^{-1} \), which means the sequence converges and its limit is \( \frac{1}{e} \).
Key Concepts
Sequence DivergenceLimit of a SequenceLogarithmic Approximation
Sequence Divergence
Understanding sequence convergence and divergence is fundamental in math. A sequence is like a list of numbers that follow a specific order. It's called a sequence because numbers are usually indexed, which means ordered by natural numbers like first, second, third, etc. A sequence diverges when, as we list more and more numbers from the sequence, the numbers start to get further away from any fixed value. You can think of it as if you're trying to catch a moving train - no matter how hard you try to reach it, it just keeps speeding away.
It's important to differentiate between sequences that diverge and those that converge. For a sequence to diverge can mean a couple of things:
It's important to differentiate between sequences that diverge and those that converge. For a sequence to diverge can mean a couple of things:
- The terms of the sequence grow indefinitely large.
- The terms do not settle around a particular number.
Limit of a Sequence
The limit of a sequence is the value that the terms of a sequence 'settle down' to as the sequence progresses towards infinity. It’s like zeroing in on a target - the closer you get, the nearer you are to the limit. Think of the limit as the eventual destination or the goal of the sequence.
Mathematically, if a sequence \(a_n\) has a limit \(L\), it means that for any tiny positive number you can think of, as \(n\) gets larger, the difference between \(a_n\) and \(L\) becomes smaller than that number.
Mathematically, if a sequence \(a_n\) has a limit \(L\), it means that for any tiny positive number you can think of, as \(n\) gets larger, the difference between \(a_n\) and \(L\) becomes smaller than that number.
- It's represented as \( \lim_{n \to \infty} a_n = L \).
- For a sequence to have a limit, its terms must get progressively closer to a single number.
Logarithmic Approximation
Logarithmic approximation is a handy mathematical tool often used to make complex expressions easier to work with, especially when dealing with sequences. It involves using the properties of logarithms to simplify expressions, making them easier to analyze.
In the context of sequences and limits, logarithmic approximation can simplify how we look at sequences as they head to infinity. One useful property is that \( \ln(1+x) \approx x \) when \(x\) is small. Here's how this helps:
In the context of sequences and limits, logarithmic approximation can simplify how we look at sequences as they head to infinity. One useful property is that \( \ln(1+x) \approx x \) when \(x\) is small. Here's how this helps:
- Assume \(x\) is a tiny number, making this formula approximate well.
- This transformation lets us break down the sequence into simpler pieces.
Other exercises in this chapter
Problem 70
Show that \begin{equation} \text { a. }\cosh i \theta=\cos \theta, \quad \text { b. } \sinh i \theta=i \sin \theta \end{equation}
View solution Problem 70
In each of the geometric series in Exercises \(69-72,\) write out the first few terms of the series to find \(a\) and \(r,\) and find the sum of the series. The
View solution Problem 70
Outline of the proof of the Rearrangement Theorem (Theorem 17\()\) $$\begin{array}{l}{\text { a. Let } \epsilon \text { be a positive real number, let } L=\sum_
View solution Problem 71
By multiplying the Taylor series for \(e^{x}\) and \(\sin x,\) find the terms through \(x^{5}\) of the Taylor series for \(e^{x} \sin x .\) This series is the i
View solution