Chapter 11: Problem 44
(a) Determine the values of \(r\) for which \(r^{\prime \prime}\) converges. (b) Determine the values of \(r\) for which \(n r^{n}\) converges.
Short Answer
Expert verified
For part (a), we cannot determine the values of r for which \(r^{\prime \prime}\) converges without more context or information.
For part (b), the values of r for which the series \(n r^{n}\) converges are those that satisfy the inequality \(|r| < 1\), which means r is in the open interval \((-1, 1)\).
Step by step solution
01
Part (a): Determine the convergence of \(r^{\prime \prime}\)
:
To understand the convergence of \(r^{\prime \prime}\), we have to notice that the second derivative indicates the curvature or concavity of the function. If the function's curvature changes infinitely as r increases, the sequence will diverge. Otherwise, it will converge. Since no additional information about the function that is being derived is given, we cannot determine the values of r for which \(r^{\prime \prime}\) converges. More context or information is needed.
02
Part (b): Determine the convergence of \(n r^{n}\)
:
To analyze the convergence of \(n r^{n}\), we will use the root test. The root test states that if the nth root of the absolute value of the terms of a series converges, then the series converges. More formally, if we have a series \(\displaystyle\sum_{n=1}^{\infty} a_n\), and
\(
L = \lim_{n\to\infty} |a_n|^{\frac{1}{n}},
\)
then,
1. If \(L < 1\), the series converges.
2. If \(L > 1\), the series diverges.
3. If \(L = 1\), the test is inconclusive.
In our case, we have \(\displaystyle\sum_{n=1}^{\infty} n r^{n}\). Applying the root test, we get:
\(
L = \lim_{n\to\infty} \left| n r^{n} \right|^{\frac{1}{n}} = \lim_{n\to\infty} \left( n^{\frac{1}{n}} \cdot |r| \right).
\)
Now, we need to find the limit as n approaches infinity for \(n^{\frac{1}{n}}\):
\(
\lim_{n\to\infty} n^{\frac{1}{n}} = 1.
\)
Hence,
\(
L = \lim_{n\to\infty} \left( n^{\frac{1}{n}} \cdot |r| \right) = 1 \cdot |r| = |r|.
\)
Now, we compare L to 1:
1. If \(|r| < 1\), the series converges.
2. If \(|r| > 1\), the series diverges.
3. If \(|r| = 1\), the test is inconclusive.
So, for our given series, the values of r for which the series converges are those that satisfy the inequality \(|r| < 1\). This means r is in the open interval \((-1, 1)\). The values of r for which the series diverges are those outside the interval, i.e., \(r \le -1\) and \(r \ge 1\). For \(r = -1\) and \(r = 1\), the root test is inconclusive, so we cannot make any assertion about the convergence of the series.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Root Test
The root test is a powerful method used in mathematical analysis to determine the convergence of infinite series. It evaluates the limit of the n-th root of the absolute value of the terms in a series. This test is particularly useful when the series terms involve exponentials or powers. To apply it to a series \(\sum_{n=1}^{\infty} a_n\), the root test requires that we calculate the following limit expression:
- \(L = \lim_{n\to\infty} |a_n|^{\frac{1}{n}}\).
- If \(L < 1\), the series converges absolutely.
- If \(L > 1\), the series diverges.
- If \(L = 1\), the test is inconclusive, meaning other methods must be used to determine convergence.
Second Derivative
The second derivative of a function provides critical insight into the behavior of the function's graph. Essentially, it's a measure of how the rate of change (slope) of a function is itself changing. When a function's second derivative is examined, it reveals information about:
- **Curvature:** The second derivative helps determine how a graph is curving, indicating if it's bending upwards or downwards.
- **Concavity:** The function is concave up when the second derivative is positive, and concave down when negative.
Sequence Convergence
A sequence is a list of numbers ordered in a particular way, and convergence refers to whether this sequence approaches a specific value as it progresses to infinity. For a sequence to converge, the difference between its terms and a particular number (called the limit) must become arbitrarily small. In mathematical terms:
- A sequence \(a_n\) converges to \(L\) if for every positive number \(\varepsilon\), there exists an integer \(N\) such that for all \(n > N\), \(|a_n - L| < \varepsilon\).
Curvature and Concavity
Curvature and concavity are key aspects of a function's geometric properties that can be gleaned from its derivatives. Concavity, dictated by the sign of the second derivative, indicates whether the graph of a function curves upwards or downwards:
- **Concave Up:** This occurs when the second derivative is positive. Graphically, the curve looks like a "smiley face," and the function resembles being "held" by the graph.
- **Concave Down:** This occurs when the second derivative is negative. Here, the graph looks like a "frown" or an "umbrella" held upside down.