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Use the Comparison Test to determine if each series converges or diverges. \begin{equation}\sum_{n=1}^{\infty} \frac{\sqrt{n}+1}{\sqrt{n^{2}+3}}\end{equation}

Short Answer

Expert verified
The series diverges by the Comparison Test.

Step by step solution

01

Identify the series form

The given series is \( \sum_{n=1}^{\infty} \frac{\sqrt{n}+1}{\sqrt{n^{2}+3}} \). Notice that both numerator and denominator contain expressions with \( n \) under square roots.
02

Simplify the dominant terms

Identify the dominant term in numerator and denominator: \( \sqrt{n} \) for the numerator and \( \sqrt{n^2} = n \) for the denominator. Thus for large \( n \), \( \frac{\sqrt{n}}{n} \approx \frac{1}{\sqrt{n}} \).
03

Choose a comparison series

Since the behavior of \( \frac{\sqrt{n}+1}{\sqrt{n^2+3}} \) is dominated by \( \frac{1}{\sqrt{n}} \) for large \( n \), we compare the given series with the series \( \sum_{n=1}^{\infty} \frac{1}{\sqrt{n}} \), which is known to diverge.
04

Apply the Comparison Test

According to the Comparison Test, if \( 0 \leq a_n \leq b_n \) and \( \sum b_n \) diverges, then \( \sum a_n \) also diverges. Here, let \( a_n = \frac{\sqrt{n}+1}{\sqrt{n^2+3}} \) and \( b_n = \frac{1}{\sqrt{n}} \). For large \( n \), \( a_n < b_n \). Since \( \sum b_n \) diverges, \( \sum a_n \) also diverges.
05

Conclusion

Since we compared our series with \( \sum \frac{1}{\sqrt{n}} \), which diverges, and confirmed \( a_n < b_n \) for large \( n \), the series \( \sum_{n=1}^{\infty} \frac{\sqrt{n}+1}{\sqrt{n^2+3}} \) diverges as well.

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Key Concepts

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

Convergence and Divergence of Series
Understanding whether an infinite series converges or diverges is important in mathematics, as it helps determine the behavior of the series sum as it progresses towards infinity. In simple terms, convergence means that the series approaches a specific finite value, while divergence implies that the series either grows without bound or fails to settle at any particular point.
In order to determine convergence or divergence, various tests can be employed. One such method includes the Comparison Test, which involves comparing the given series to a second series whose behavior is already known. This test is quite useful in determining whether a complex series converges or diverges, by simplifying it to more commonly understood series types.
For students, a key takeaway is the importance of understanding how the terms of a series behave as they approach infinity, and using this knowledge to apply suitable tests such as the Comparison Test.
Dominant Terms in Series
When it comes to analyzing infinite series, recognizing the dominant terms significantly eases the assessment of the series. Dominant terms are those that primarily dictate the behavior of the series' terms for very large values of the variable, usually denoted as \( n \).
In the exercise provided, we identified the dominant term in the numerator as \( \sqrt{n} \), and in the denominator as \( n \), thus simplifying the expression to \( \frac{1}{\sqrt{n}} \) for large values of \( n \). This simplification allows for an easier comparison with a known divergent series, \( \sum_{n=1}^{\infty} \frac{1}{\sqrt{n}} \).
Understanding dominant terms helps bridge more complex expressions to simpler forms that are easier to compare and analyze. By focusing on dominant terms, students can more effectively apply theorems like the Comparison Test to analyze series behavior.
Infinite Series
An infinite series is essentially a sum of infinitely many terms, expressed as \( \sum_{n=1}^{\infty} a_n \). Infinite series play a crucial role in mathematics, especially in calculus and real analysis, shedding light on sequences and their sum behaviors as they tend to infinity.
Not every infinite series behaves in the same manner. Some converge to a finite value, while others, like the harmonic series, famously diverge. The challenge lies in determining the behavior of these series and understanding the conditions under which they converge or diverge.
For instance, a geometric series with a ratio \( r \) such that \( |r| < 1 \) will converge, while series that resemble the harmonic series, like the one compared in the exercise, often diverge. Grasping these basic series types and their properties helps in the analysis and syntheses of more complex series structures.

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Most popular questions from this chapter

The limit \(L\) of an alternating series that satisfies the conditions of Theorem 15 lies between the values of any two consecutive partial sums. This suggests using the average $$\frac{s_{n}+s_{n+1}}{2}=s_{n}+\frac{1}{2}(-1)^{n+2} a_{n+1}$$ to estimate \(L .\) Compute $$s_{20}+\frac{1}{2} \cdot \frac{1}{21}$$ as an approximation to the sum of the alternating harmonic series. The exact sum is \(\ln 2=0.69314718 \ldots .\)

If \(\sum a_{n}\) is a convergent series of positive terms, prove that \(\sum \sin \left(a_{n}\right)\) converges.

Use series to estimate the integrals' values with an error of magnitude less than \(10^{-5}\) . (The answer section gives the integrals' values rounded to seven decimal places.) \begin{equation} \int_{0}^{0.5} \frac{1}{\sqrt{1+x^{4}}} d x \end{equation}

Computer Explorations 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: \begin{equation} \begin{array}{l}{\text { a. For what values of } x \text { can the function be replaced by each }} \\ {\text { approximation with an error less than } 10^{-2} \text { ? }} \\ {\text { b. What is the maximum error we could expect if we replace the }} \\ {\text { function by each approximation over the specified interval? }}\end{array} \end{equation} Using a CAS, perform the following steps to aid in answering questions (a) and (b) for the functions and intervals in Exercises \(53-58 .\) \begin{equation} \begin{array}{l}{\text { Step } 1 : \text { Plot the function over the specified interval. }} \\ {\text { Step } 2 : \text { Find the Taylor polynomials } P_{1}(x), P_{2}(x), \text { and } P_{3}(x) \text { at }} \\\ {x=0 .}\\\\{\text { Step } 3 : \text { Calculate the }(n+1) \text { st derivative } f^{(n+1)}(c) \text { associated }} \\ {\text { with the remainder term for each Taylor polynomial. }} \\ {\text { Plot the derivative as a function of } c \text { over the specified interval }} \\ {\text { and estimate its maximum absolute value, } M .}\\\\{\text { Step } 4 : \text { Calculate the remainder } R_{n}(x) \text { for each polynomial. }} \\ {\text { Using the estimate } M \text { from Step } 3 \text { in place of } f^{(n+1)}(c), \text { plot }} \\ {R_{n}(x) \text { over the specified interval. Then estimate the values of }} \\ {x \text { that answer question (a). }}\\\\{\text { Step } 5 : \text { Compare your estimated error with the actual error }} \\ {E_{n}(x)=\left|f(x)-P_{n}(x)\right| \text { by plotting } E_{n}(x) \text { over the specified }} \\ {\text { interval. This will help answer question (b). }} \\ {\text { Step } 6 : \text { Graph the function and its three Taylor approximations }} \\ {\text { together. Discuss the graphs in relation to the information }} \\ {\text { discovered in Steps } 4 \text { and } 5 .}\end{array} \end{equation} $$f(x)=(1+x)^{3 / 2},-\frac{1}{2} \leq x \leq 2$$

Show that if \(\sum_{n=1}^{\infty} a_{n}\) and \(\sum_{n=1}^{\infty} b_{n}\) both converge absolutely, then so do the following. $$\begin{array}{ll}{\text { a. }} & {\sum_{n=1}^{\infty}\left(a_{n}+b_{n}\right)} & {\text { b. } \sum_{n=1}^{\infty}\left(a_{n}-b_{n}\right)} \\ {\text { c. }} & {\sum_{n=1}^{\infty} k a_{n}(k \text { any number })}\end{array}$$

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