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\(3-8=\) Test the series for convergence or divergence. $$ \sum_{n=1}^{\infty}(-1)^{n} \frac{n}{\sqrt{n^{3}+2}} $$

Short Answer

Expert verified
The series converges by the Alternating Series Test.

Step by step solution

01

Identify Alternating Series

This given series \( \sum_{n=1}^{\infty}(-1)^{n} \frac{n}{\sqrt{n^{3}+2}} \) is an alternating series because of the factor \((-1)^{n}\), which causes the terms to alternate between positive and negative values.
02

Apply Alternating Series Test (AST)

According to the Alternating Series Test, the series \( \sum (-1)^{n} a_n \) converges if the absolute value \( a_n \) of the terms is a positive decreasing sequence that approaches zero. Let \( a_n = \frac{n}{\sqrt{n^{3}+2}} \). We need to show that \( a_n \to 0 \) as \( n \to \infty \).
03

Check if Terms Approach Zero

Evaluate the limit of \( a_n \) as \( n \to \infty \):\[ \lim_{n \to \infty} \frac{n}{\sqrt{n^{3}+2}}\]To simplify, we divide the numerator and the denominator by \( n^{3/2} \):\[ \lim_{n \to \infty} \frac{n}{n^{3/2}} \cdot \frac{1}{\sqrt{1 + \frac{2}{n^3}}} = \lim_{n \to \infty} \frac{1}{\sqrt{n}} \cdot \frac{1}{\sqrt{1 + \frac{2}{n^3}}}\]The limit of \( \frac{1}{\sqrt{n}} \) is zero as \( n \to \infty \), so \( a_n \to 0 \).
04

Check if Sequence is Decreasing

To verify if \( a_n = \frac{n}{\sqrt{n^{3}+2}} \) is decreasing, check that \( a_{n+1} < a_n \):We need:\[\frac{n+1}{\sqrt{(n+1)^3 + 2}} < \frac{n}{\sqrt{n^{3}+2}}\]By inspection for large \(n\), the denominator grows faster than the numerator sees, ensuring that \( a_n \) decreases as \( n \) increases.
05

Conclusion of Alternating Series Test

Since \( a_n \to 0 \) and \( a_n \) is decreasing, by the Alternating Series Test, the series converges.

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Key Concepts

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

Convergence and Divergence
In calculus, understanding the convergence and divergence of a series is fundamentally important. A series converges if the sum of its infinite terms approaches a specific finite value. Conversely, a series diverges if it doesn't approach any particular value, potentially growing indefinitely or oscillating without settling. For the given series in the exercise, determining its convergence involves applying a test designed to handle alternating series, which switch signs between terms. This test helps ascertain if the series will ultimately sum to a finite number, or if it will continue to fluctuate endlessly without finding a home at a specific numerical value. If the test confirms convergence, it suggests that the series behaves in a manner similar to convergent geometric or arithmetic series and will result in a definitive sum. If it diverges, it behaves more like a row of dominos that never settle into place, forever in motion without rest.
Infinite Series
An infinite series is essentially the sum of an infinite sequence of numbers. It is a core concept in mathematical analysis that can represent complex constructs in a more comprehensible form. Each term in an infinite series signifies a contribution towards this potentially infinite summation. The alternating nature of the series given in the exercise, made evident by the \((-1)^{n}\) factor, means the terms switch between positive and negative values. This switch is critical in determining how closely and in what manner the series approaches a limit, if it does at all. The goal when analyzing an infinite series is to identify whether the cumulative effects of its terms will result in convergence or divergence. In simpler terms, we want to know if the infinite sum trends towards a particular value or if it remains unbounded.
Calculus Series Tests
Calculus provides several tests for determining the behavior of series, each suited for different kinds of series. The Alternating Series Test (AST) is one specific tool, ideal for series where the terms alternate in sign. For the exercise's series, AST helps us see if the positive part of each term decreases steadily and approaches zero, a necessary condition to conclude convergence for alternating series.

To apply this test, you first make sure that the terms become negligibly small as their index, or position, within the sequence increases. This reduction means you need to check two things: the limit of the sequence approaching zero and the term sequence being decreasing. If both conditions are satisfied, as in the exercise provided, the AST confirms convergence.

Understanding the right test to use, such as AST, can often simplify complex series evaluations into more manageable parts, serving as a reliable pathway to understanding the infinite intricacies of calculus.

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Most popular questions from this chapter

Show that the function $$ f(x)=\sum_{n=0}^{\infty} \frac{(-1)^{n} x^{2 n}}{(2 n) !} $$ is a solution of the differential equation $$ f^{\prime \prime}(x)+f(x)=0 $$

Express the number as a ratio of integers. \(2 . \overline{516}=2.516516516 \ldots\)

Find a power series representation for the function and determine the interval of convergence. $$ f(x)=\frac{1}{1+x} $$

The resistivity \(\rho\) of a conducting wire is the reciprocal of the conductivity and is measured in units of ohm-meters \((\Omega-m) .\) The resistivity of a given metal depends on the temperature according to the equation $$\rho(t)=\rho_{20} e^{\alpha(t-20)}$$ where \(t\) is the temperature in \(^{\circ} \mathrm{C} .\) There are tables that list the values of \(\alpha\) (called the temperature coefficient) and \(\rho_{20}\) (the resistivity at \(20^{\circ} \mathrm{C} )\) for various metals. Except at very low temperatures, the resistivity varies almost linearly with temperature and so it is common to approximate the expression for \(\rho(t)\) by its first- or second-degree Taylor polynomial at \(t=20\) . (a) Find expressions for these linear and quadratic approximations. (b) For copper, the tables give \(\alpha=0.0039 /^{\circ} \mathrm{C}\) and \(\rho_{20}=1.7 \times 10^{-8} \Omega-\mathrm{m} .\) Graph the resistivity of copper and the linear and quadratic approximations for \(-250^{\circ} \mathrm{C} \leqslant t \leqslant 1000^{\circ} \mathrm{C}\) (c) For what values of \(t\) does the linear approximation agree with the exponential expression to within one percent?

Find the sum of the series. $$\sum_{n=0}^{\infty} \frac{3^{n}}{5^{n} n !}$$

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