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Test the series for convergence or divergence. $$\sum_{n=1}^{\infty} \frac{1}{n+3^{n}}$$

Short Answer

Expert verified
The series converges by the comparison test.

Step by step solution

01

Identify the Series Type

The series in question is \( \sum_{n=1}^{\infty} \frac{1}{n+3^{n}} \). This series is an infinite series with general term \( a_n = \frac{1}{n+3^{n}} \). Since the general term shows exponential growth in the denominator, it is appropriate to use the comparison test.
02

Compare with a Known Series

To determine the behavior of \( \sum_{n=1}^{\infty} \frac{1}{n+3^{n}} \), we should compare it with a simpler series that is known to converge or diverge. Here, we compare it with \( \sum_{n=1}^{\infty} \frac{1}{3^n} \) which is a geometric series with ratio \( r = \frac{1}{3} \), which converges.
03

Establish the Comparison

Notice that \( 3^n \) grows much faster than \( n \), so \( n + 3^n \geq 3^n \) for all \( n \geq 1 \). Therefore, \( \frac{1}{n+3^n} \leq \frac{1}{3^n} \). Since \( \sum_{n=1}^{\infty} \frac{1}{3^n} \) is a convergent series and \( \frac{1}{n+3^n} \leq \frac{1}{3^n} \), by the comparison test, \( \sum_{n=1}^{\infty} \frac{1}{n+3^n} \) also converges.

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Key Concepts

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

Comparison Test
The comparison test is a handy tool when analyzing whether an infinite series converges or diverges. It works by comparing a complex series to a simpler, well-understood series. If the simpler series behaves a certain way (either converging or diverging), the series you are testing likely behaves the same way.
In this exercise, we use the comparison test to analyze the series \( \sum_{n=1}^{\infty} \frac{1}{n+3^{n}} \). By comparing it to the series \( \sum_{n=1}^{\infty} \frac{1}{3^n} \), which we know converges, we can conclude the same for our series since \( \frac{1}{n+3^n} \leq \frac{1}{3^n} \) for all \( n \geq 1 \).
To use the comparison test effectively:
  • First, identify a comparison series that is similar in structure.
  • Then, ensure the terms of your complicated series are always less than or equal to the terms of this simpler convergent series.
Geometric Series
Geometric series are a class of infinite series where each subsequent term is obtained by multiplying the previous term by a constant ratio \( r \). In mathematical form, a geometric series looks like: \[ a + ar + ar^2 + ar^3 + \cdots \]where \( a \) is the initial term, and \( r \) is the common ratio between terms.
A geometric series converges if the absolute value of the ratio \( |r| \) is less than 1. Otherwise, it diverges.
For example, in this exercise, we compared our infinite series to the geometric series \( \sum_{n=1}^{\infty} \frac{1}{3^n} \) with \( a = \frac{1}{3} \) and \( r = \frac{1}{3} \). Because the ratio \( |\frac{1}{3}| \) is less than one, this series converges. This provided a basis for our comparison test.
Infinite Series
An infinite series is essentially the sum of an infinite sequence of terms. To determine whether an infinite series like \( \sum_{n=1}^{\infty} \frac{1}{n+3^{n}} \) converges or diverges, we need to establish whether the sum reaches a definite, finite number as more terms are added, i.e., as \( n \to \infty \).
An infinite series converges if the sequence of partial sums approaches a single finite limit. Otherwise, it diverges, potentially growing infinitely large or oscillating without settling.
In this exercise, we see an infinite series where the denominator contains an exponential term \( 3^n \), which grows quickly, aiding in the evaluation of convergence using tests like the comparison test. Understanding the nature of the denominator can significantly inform how we approach solving for convergence.
  • Convergence: Implies the sum of infinite terms remains finite.
  • Divergence: Indicates that the sum grows indefinitely or lacks a fixed limit.

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Most popular questions from this chapter

(a) Approximate \(f\) by a Taylor polynomial with degree \(n\) at the number a. (b) Use Taylor's Inequality to estimate the accuracy of the approximation \(f(x) \approx T_{n}(x)\) when \(x\) lies in the given interval. (c) Check your result in part (b) by graphing \(\left|R_{n}(x)\right|\) $$f(x)=x^{2 / 3}, \quad a=1, \quad n=3, \quad 0.8 \leqslant x \leqslant 1.2$$

(a) Approximate \(f\) by a Taylor polynomial with degree \(n\) at the number a. (b) Use Taylor's Inequality to estimate the accuracy of the approximation \(f(x) \approx T_{n}(x)\) when \(x\) lies in the given interval. (c) Check your result in part (b) by graphing \(\left|R_{n}(x)\right|\) $$f(x)=\ln (1+2 x), \quad a=1, \quad n=3, \quad 0.5 \leqslant x \leqslant 1.5$$

Test the series for convergence or divergence. $$\sum_{n=1}^{\infty}(\sqrt[n]{2}-1)^{n}$$

Let \(f_{n}(x)=(\sin n x) / n^{2} .\) Show that the series \(\Sigma f(x)\) converges for all values of \(x\) but the series of derivatives \(\Sigma f_{n}^{\prime}(x)\) diverges when \(x=2 n \pi, n\) an integer. For what values of \(x\) does the series \(\sum f_{n}^{\prime \prime}(x)\) converge?

The Cantor set, named after the German mathematician Georg Cantor \((1845-1918),\) is constructed as follows. We start with the closed interval \([0,1]\) and remove the open interval \(\left(\frac{1}{3}, \frac{2}{3}\right) .\) That leaves the two intervals \(\left[0, \frac{1}{3}\right]\) and \(\left[\frac{2}{3}, 1\right]\) and we remove the open middle third of each. Four intervals remain and again we remove the open middle third of each of them. We continue this procedure indefinitely, at each step removing the open middle third of every interval that remains from the preceding step. The Cantor set consists of the numbers that remain in \([0,1]\) after all those intervals have been removed. (a) Show that the total length of all the intervals that are removed is \(1 .\) Despite that, the Cantor set contains infinitely many numbers. Give examples of some numbers in the Cantor set. (b) The Sierpinski carpet is a two-dimensional counterpart of the Cantor set. It is constructed by removing the center one-ninth of a square of side \(1,\) then removing the centers of the eight smaller remaining squares, and so on. (The figure shows the first three steps of the construction.) Show that the sum of the areas of the removed squares is \(1 .\) This implies that the Sierpinski carpet has area \(0 .\)

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