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In Exercises \(97-100,\) determine if the sequence is nondecreasing and if it is bounded from above. $$ a_{n}=\frac{3 n+1}{n+1} $$

Short Answer

Expert verified
The sequence is nondecreasing and bounded from above by 3.

Step by step solution

01

Write the sequence formula

The sequence given is \(a_n = \frac{3n + 1}{n + 1}\). Our task is to determine if this sequence is nondecreasing and if it is bounded from above.
02

Check if the sequence is nondecreasing

To check if a sequence \(a_n\) is nondecreasing, we must ensure that \(a_{n+1} \geq a_n\) for all \(n\). Calculate \(a_{n+1}\): \[a_{n+1} = \frac{3(n+1) + 1}{(n+1) + 1} = \frac{3n + 4}{n + 2}.\] We need to compare \(a_{n+1}\) and \(a_n\): \[\frac{3n+4}{n+2} \geq \frac{3n+1}{n+1}.\] Clear the fractions by cross-multiplying: \[(3n+4)(n+1) \geq (3n+1)(n+2).\] Expanding both sides gives: \[3n^2 + 7n + 4 \geq 3n^2 + 7n + 2.\] Simplifying gives: \[4 \geq 2,\] which is true, confirming the sequence is nondecreasing.
03

Determine if the sequence is bounded from above

To check if the sequence \(a_n\) is bounded from above, find the limit as \(n\) approaches infinity. The degree of the numerator and denominator both being 1, examine \(\lim_{n \to \infty} \frac{3n + 1}{n + 1} = \frac{3}{1} = 3\). This shows the sequence approaches 3, thereby bounding the sequence above by 3.
04

Conclusion

The sequence \(a_n = \frac{3n+1}{n+1}\) is nondecreasing, as shown by \(a_{n+1} \geq a_n\). Additionally, it is bounded from above by 3, as the limit as \(n\) approaches infinity shows the series tending towards 3.

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Key Concepts

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

Nondecreasing Sequences
A nondecreasing sequence is one where each term is not less than the previous term. In mathematical terms, this means for any term \( a_n \), the next term \( a_{n+1} \) is either equal to or greater than \( a_n \). For the sequence \( a_n = \frac{3n + 1}{n + 1} \), we confirmed that it is indeed nondecreasing.
To determine this, we compared \( a_{n+1} \) and \( a_n \). After simplification, it showed:
  • The inequality \( a_{n+1} \geq a_n \).
  • This holds for all \( n \), meaning the entire sequence maintains the nondecreasing condition.

The inclusion of terms like \( 3n + 4 \) and \( n + 2 \) should not confuse the essential understanding. It's all about confirming one term doesn’t dip below the one before it.
Bounded Sequences
A sequence is termed 'bounded from above' if there exists a number such that no term in the sequence exceeds that number. For the sequence \( a_n = \frac{3n + 1}{n + 1} \), we sought to find if there was an upper boundary. The crucial method here is analyzing the behavior of the sequence as \( n \) becomes very large.

What's fascinating about this sequence is that both its numerator and denominator tend towards infinity, yet at the same rate. This relationship culminates in:
  • The limit as \( n \to \infty \) is \( \lim_{n \to \infty} \frac{3n + 1}{n + 1} = 3 \).
  • Which means the sequence settles around and does not exceed 3 after sufficiently large \( n \).
Thus, the sequence is bounded from above at 3, framing its growth within observed limits.
Limits of Sequences
Understanding the concept of limits in sequences is key in analyzing their long-term behavior. Limits tell us the value that the terms of a sequence approach as \( n \) becomes very large. For the sequence \( a_n = \frac{3n + 1}{n + 1} \), we determined that its limit, as \( n \to \infty \), is 3.

In sequences, the approach to the limit is vital because:
  • A sequence approaching a finite limit \( L \) implies stability over time.
  • The elements of the sequence become arbitrarily close to \( L \) as \( n \) increases.
By determining limits, we gain profound insights into whether sequences converge (approach a finite number) or diverge (grow without bounds). In our example, the sequence converges to 3, giving a neat picture of its "end behavior."

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Most popular questions from this chapter

Outline of the proof of the Rearrangement Theorem (Theo- rem 17\()\) a. Let \(\epsilon\) be a positive real number, let \(L=\sum_{n=1}^{\infty} a_{n},\) and let \(s_{k}=\sum_{n=1}^{k} a_{n}\) . Show that for some index \(N_{1}\) and for some index \(N_{2} \geq N_{1}\) $$\sum_{n=N_{1}}^{\infty}\left|a_{n}\right|<\frac{\epsilon}{2} \quad\( and \)\quad\left|s_{N_{2}}-L\right|<\frac{\epsilon}{2}$$ since all the terms \(a_{1}, a_{2}, \ldots, a_{N_{2}}\) appear somewhere in the sequence \(\left\\{b_{n}\right\\},\) there is an index \(N_{3} \geq N_{2}\) such that if \(n \geq N_{3},\) then \(\left(\sum_{k=1}^{n} b_{k}\right)-s_{N_{2}}\) is at most a sum of terms \(a_{m}\) with \(m \geq N_{1} .\) Therefore, if \(n \geq N_{3}\) $$\begin{aligned}\left|\sum_{k=1}^{n} b_{k}-L\right| & \leq\left|\sum_{k=1}^{n} b_{k}-s_{N_{2}}\right|+\left|s_{N_{2}}-L\right| \\ & \leq \sum_{k=N_{1}}^{\infty}\left|a_{k}\right|+\left|s_{N_{2}}-L\right|<\epsilon \end{aligned}$$ b. The argument in part (a) shows that if \(\sum_{n=1}^{\infty} a_{n}\) converges absolutely then \(\sum_{n=1}^{\infty} b_{n}\) converges and \(\sum_{n=1}^{\infty} b_{n}=\sum_{n=1}^{\infty} a_{n}\) Now show that because \(\sum_{n=1}^{\infty}\left|a_{n}\right|\) converges, \(\sum_{n=1}^{\infty}\left|b_{n}\right|\) converges to \(\sum_{n=1}^{\infty}\left|a_{n}\right|\)

According to a front-page article in the December \(15,1992,\) issue of the Wall Street Journal, Ford Motor Company used about 7\(\frac{1}{4}\) hours of labor to produce stampings for the average vehicle, down from an estimated 15 hours in \(1980 .\) The Japanese needed only about 3\(\frac{1}{2}\) hours. Ford's improvement since 1980 represents an average decrease of 6\(\%\) per year. If that rate continues, then \(n\) years from 1992 Ford will use about $$ S_{n}=7.25(0.94)^{n} $$ hours of labor to produce stampings for the average vehicle. Assuming that the Japanese continue to spend 3\(\frac{1}{2}\) hours per vehicle, how many more years will it take Ford to catch up? Find out two ways: a. Find the first term of the sequence \(\left\\{S_{n}\right\\}\) that is less than or equal to \(3.5 .\) b. Graph \(f(x)=7.25(0.94)^{x}\) and use Trace to find where the graph crosses the line \(y=3.5 .\)

Replace \(x\) by \(-x\) in the Taylor series for \(\ln (1+x)\) to obtain a series for \(\ln (1-x) .\) Then subtract this from the Taylor series for \(\ln (1+x)\) to show that for \(|x|<1\) , $$ \ln \frac{1+x}{1-x}=2\left(x+\frac{x^{3}}{3}+\frac{x^{5}}{5}+\cdots\right) $$

Show that the Taylor series for \(f(x)=\tan ^{-1} x\) diverges for \(|x|>1\)

Newton's method The following sequences come from the recursion formula for Newton's method, $$ x_{n+1}=x_{n}-\frac{f\left(x_{n}\right)}{f^{\prime}\left(x_{n}\right)} $$ Do the sequences converge? If so, to what value? In each case, begin by identifying the function \(f\) that generates the sequence. $$ \begin{array}{l}{\text { a. } x_{0}=1, \quad x_{n+1}=x_{n}-\frac{x_{n}^{2}-2}{2 x_{n}}=\frac{x_{n}}{2}+\frac{1}{x_{n}}} \\\ {\text { b. } x_{0}=1, \quad x_{n+1}=x_{n}-\frac{\tan x_{n}-1}{\sec ^{2} x_{n}}} \\ {\text { c. } x_{0}=1, \quad x_{n+1}=x_{n}-1}\end{array} $$

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