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Converge, and which diverge? Give reasons for your answers. (When you check an answer, remember that there may be more than one way to determine the series' convergence or divergence.) $$\sum_{n=1}^{\infty} \operatorname{sech} n$$

Short Answer

Expert verified
The series \(\sum_{n=1}^{\infty} \operatorname{sech} n\) converges by the Limit Comparison Test.

Step by step solution

01

Understand the Series

The given series is \(\sum_{n=1}^{\infty} \operatorname{sech} n\), where \(\operatorname{sech} n = \frac{1}{\cosh n}\). The term \(\cosh n\) is the hyperbolic cosine function, which is defined as \(\cosh n = \frac{e^n + e^{-n}}{2}\). Therefore, \(\operatorname{sech} n = \frac{2}{e^n + e^{-n}}\).
02

Evaluate the Behavior of Terms

Since \(\operatorname{sech} n = \frac{2}{e^n + e^{-n}}\), as \(n\) increases, \(e^n\) dominates \(e^{-n}\). Thus, \(\operatorname{sech} n\) behaves like \(\frac{2}{e^n}\), which implies \(\operatorname{sech} n\) approaches zero exponentially fast as \(n\) tends to infinity.
03

Apply the Limit Comparison Test

To determine if the series \(\sum_{n=1}^{\infty} \operatorname{sech} n\) converges, we compare it to the series \(\sum_{n=1}^{\infty} \frac{1}{e^n}\), which is a convergent geometric series with ratio \(r = \frac{1}{e} < 1\). Since \(\lim_{n\to\infty} \frac{\operatorname{sech} n}{\frac{1}{e^n}} = \lim_{n\to\infty} \frac{2}{e^n + e^{-n}} \cdot e^n = 2\), the limit is finite and nonzero.
04

Conclusion on Convergence

By the Limit Comparison Test, the series \(\sum_{n=1}^{\infty} \operatorname{sech} n\) converges because it was compared to a convergent geometric series and the limit of their ratios is finite and nonzero.

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Key Concepts

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

Limit Comparison Test
The Limit Comparison Test is a handy tool used to determine whether a series converges or diverges. To use this test, you compare the series in question to another series whose convergence status is already known. For example, in our problem, we compare the series \( \sum_{n=1}^{\infty} \operatorname{sech} n \) to the geometric series \( \sum_{n=1}^{\infty} \frac{1}{e^n} \).

The key to the Limit Comparison Test lies in evaluating the limit of the ratio of the terms of both series. So, we compute \( \lim_{n \to \infty} \frac{\operatorname{sech} n}{\frac{1}{e^n}} \). If this limit is a positive constant, then both series will either converge or diverge together. In our case, the limit is \(2\), a finite and non-zero number, indicating that both series share the same convergence behavior.

Some important things to remember when applying the Limit Comparison Test are:
  • Select a series for comparison that is as simple as possible.
  • Always ensure the series you're comparing to is of known convergence behavior.
  • A non-zero finite limit confirms similar convergence, while zero or infinity indicates otherwise.
Geometric Series
Geometric series are a special type of series where each term is a constant multiple of the previous one. A general form for a geometric series is \( \sum_{n=0}^{\infty} ar^n \), where \( a \) is the first term and \( r \) is the common ratio between consecutive terms.

The convergence of a geometric series is determined by the value of \( r \):
  • If \( |r| < 1 \), the series converges to \( \frac{a}{1-r} \).
  • If \( |r| \geq 1 \), the series diverges.

In the given exercise, one of the series considered for comparison in the Limit Comparison Test is \( \sum_{n=1}^{\infty} \frac{1}{e^n} \), which is a geometric series with \( r = \frac{1}{e} < 1 \). This series converges due to its ratio being less than \(1\). Recognizing and understanding the properties of geometric series can greatly simplify determining the convergence status of a related series.
Hyperbolic Functions
Hyperbolic functions are analogs of trigonometric functions but are based on hyperbolas rather than circles. In this exercise, the main hyperbolic function discussed is the hyperbolic cosine function, \( \cosh n \), which is defined as:\[ \cosh n = \frac{e^n + e^{-n}}{2} \].

The series \( \sum_{n=1}^{\infty} \operatorname{sech} n \) involves the hyperbolic secant function, \( \operatorname{sech} n \), which is the reciprocal of the hyperbolic cosine:
\[ \operatorname{sech} n = \frac{1}{\cosh n} \]
Upon substitution and simplification, this becomes \( \frac{2}{e^n + e^{-n}} \).

As \( n \) increases, \( e^n \) grows much faster than \( e^{-n} \). Thus, \( \cosh n \approx \frac{e^n}{2} \) for large \( n \), and consequently, \( \operatorname{sech} n \) behaves like \( \frac{2}{e^n} \).
  • This rapid decay highlights the usefulness of comparing hyperbolic function-based series to exponential series.
  • Hyperbolic functions frequently appear in calculus and differential equations, providing symmetry and unique properties similar, yet distinct, from trigonometric functions.

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Most popular questions from this chapter

The sequence \(\\{n /(n+1)\\}\) has a least upper bound of 1 Show that if \(M\) is a number less than \(1,\) then the terms of \(\\{n /(n+1)\\}\) eventually exceed \(M .\) That is, if \(M<1\) there is an integer \(N\) such that \(n /(n+1)>M\) whenever \(n>N .\) since \(n /(n+1)<1\) for every \(n,\) this proves that 1 is a least upper bound for \(\\{n /(n+1)\\}\).

Taylor's formula with \(n=1\) and \(a=0\) gives the linearization of a function at \(x=0 .\) With \(n=2\) and \(n=3\) we obtain the standard quadratic and cubic approximations. In these exercises we explore the errors associated with these approximations. We seek answers to two questions: a. For what values of \(x\) can the function be replaced by each approximation with an error less than \(10^{-2} ?\). b. What is the maximum error we could expect if we replace the function by each approximation over the specified interval? Using a CAS, perform the following steps to aid in answering questions (a) and (b) for the functions and intervals. Step \(I:\) Plot the function over the specified interval. Step 2: Find the Taylor polynomials \(P_{1}(x), P_{2}(x),\) and \(P_{3}(x)\) at \(x=0\) Step 3: Calculate the \((n+1)\) st derivative \(f^{(n+1)}(c)\) associated with the remainder term for each Taylor polynomial. Plot the derivative as a function of \(c\) over the specified interval and estimate its maximum absolute value, \(M .\) Step 4: Calculate the remainder \(R_{n}(x)\) for each polynomial. Using the estimate \(M\) from Step 3 in place of \(f^{(n+1)}(c),\) plot \(R_{n}(x)\) over the specified interval. Then estimate the values of \(x\) that answer question (a). Step 5: Compare your estimated error with the actual error \(E_{n}(x)=\left|f(x)-P_{n}(x)\right|\) by plotting \(E_{n}(x)\) over the specified interval. This will help answer question (b). Step 6: Graph the function and its three Taylor approximations together. Discuss the graphs in relation to the information discovered in Steps 4 and 5. $$f(x)=(1+x)^{3 / 2}, \quad-\frac{1}{2} \leq x \leq 2$$

In each of the geometric series, write out the first few terms of the series to find \(a\) and \(r\), and find the sum of the series. Then express the inequality \(|r|<1\) in terms of \(x\) and find the values of \(x\) for which the inequality holds and the series converges. $$\sum_{n=0}^{\infty} \frac{(-1)^{n}}{2}\left(\frac{1}{3+\sin x}\right)^{n}$$

Prove that a sequence \(\left\\{a_{n}\right\\}\) converges to 0 if and only if the sequence of absolute values \(\left\\{\left|a_{n}\right|\right\\}\) converges to 0.

Uniqueness of least upper bounds Show that if \(M_{1}\) and \(M_{2}\) are least upper bounds for the sequence \(\left\\{a_{n}\right\\},\) then \(M_{1}=M_{2}\) That is, a sequence cannot have two different least upper bounds.

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