A Test for Absolute Convergence of a Series

In summary, a series is a mathematical concept that involves adding together a sequence of numbers or terms. Absolute convergence is a property of a series where the sum of its terms converges to a finite value, regardless of the order in which the terms are added. To test for absolute convergence, the Cauchy's root test is commonly used. Absolute convergence is important because it guarantees that the series will converge to a finite value, regardless of the order of the terms. A series can exhibit both absolute and conditional convergence, where it converges absolutely for some order of the terms and conditionally for others.
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Let ##\{a_n\}_{n = 1}^\infty## be a sequence of real numbers such that for some real number ##p > 1##, ##\frac{a_n}{a_{n+1}} = 1 + \frac{p}{n} + b_n## where ##\sum b_n## converges absolutely. Show that ##\sum a_n## also converges absolutely.
 
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If a sequence divergences to ##+ \infty## then so does every subsequence. For any ##r > 0##, we must have that ##\frac{r}{n} \leq |b_n|## for only a finite number of terms, otherwise ##\infty = \sum^\infty \frac{r}{n} \leq \sum^\infty |b_n|## where the sum is taken over an arbitrary subsequence. Therefore, there exists a ##N## such that ##\frac{r}{n} > |b_n|## for all ##n > N##. Therefore, there exists a ##N## such that ##\frac{r}{n} + b_n > 0## for all ##n > N##.

Define a ##q## such that ##1 < q < p##. There exists an ##N## such that ##\frac{p-q}{n} + b_n > 0## for all ##n > N##. From ##\frac{a_n}{a_{n+1}} = 1 + \frac{p}{n} + b_n## we have

\begin{align*}
\dfrac{|a_n|}{|a_{n+1}|} & = |1 + \frac{q}{n} + \frac{p-q}{n} + b_n|
\nonumber \\
& > 1 + \frac{q}{n}
\end{align*}

for ##n > N##.

Rearranged:

\begin{align*}
n \left( \dfrac{|a_n|}{|a_{n+1}|} - 1 \right) > q \qquad (*)
\end{align*}

The Raabe-Duhamel's test: Let ##\{ c_n \}## be a sequence of positive numbers. Define

\begin{align*}
\rho_n := n \left( \dfrac{c_n}{c_{n+1}} - 1 \right)
\end{align*}

if

\begin{align*}
L = \lim_{n \rightarrow \infty} \rho_n
\end{align*}

exists and ##L > 1## the series converges.

From ##(*)## we have

\begin{align*}
L = \lim_{n \rightarrow \infty} \rho_n = \lim_{n \rightarrow \infty} n \left( \dfrac{|a_n|}{|a_{n+1}|} - 1 \right) > q > 1 .
\end{align*}

Hence, ##\sum |a_n|## converges.
 
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1. What is a test for absolute convergence of a series?

A test for absolute convergence of a series is a mathematical method used to determine whether a series, which is a sum of infinitely many terms, converges absolutely. This means that the series converges regardless of the order in which the terms are added. If a series converges absolutely, it also converges conditionally, meaning that the order of the terms does affect the convergence.

2. Why is it important to test for absolute convergence?

Testing for absolute convergence is important because it allows us to determine whether a series is convergent or divergent. If a series is absolutely convergent, we can use it to approximate values with a high degree of accuracy. On the other hand, if a series is not absolutely convergent, it may still be conditionally convergent, but this can lead to inaccuracies in approximations and other mathematical calculations.

3. What is the difference between absolute convergence and conditional convergence?

Absolute convergence means that a series converges regardless of the order in which the terms are added. Conditional convergence means that the order of the terms does affect the convergence. In other words, a series that is absolutely convergent is also conditionally convergent, but the reverse is not true.

4. What are some common tests for absolute convergence?

Some common tests for absolute convergence include the Ratio Test, the Root Test, and the Comparison Test. These tests compare the given series to a known convergent or divergent series, and use this comparison to determine the convergence or divergence of the given series.

5. How do you know when to use a specific test for absolute convergence?

The choice of which test to use for absolute convergence depends on the specific series being tested. Some series may be more easily evaluated using the Ratio Test, while others may be better suited for the Root Test or Comparison Test. It is important to understand the conditions and limitations of each test in order to choose the most appropriate one for a given series.

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