Problem 40
Question
Show that the series \(\sum_{n=1}^{\infty} \frac{\sin \left(n^{3} x\right)}{n^{2}}\) converges for all values of \(x\), but \(\sum_{n=1}^{\infty} \frac{d}{d x}\left[\frac{\sin \left(n^{3} x\right)}{n^{2}}\right]\) diverges for all values of \(x\). Does this contradict Theorem 2? Explain your answer.
Step-by-Step Solution
Verified Answer
The given series \(\sum_{n=1}^{\infty} \frac{\sin \left(n^{3} x\right)}{n^{2}}\) converges for all values of \(x\) by Dirichlet's test. However, its term-by-term derivative \(\sum_{n=1}^{\infty} n \cos(n^3 x)\) diverges for all values of \(x\) according to the Weierstrass M-test. This does not contradict Theorem 2 because we only showed the original series converges, not converges absolutely, and Theorem 2 applies to absolute convergence.
1Step 1: Analyze the given series
We are given the series \(\sum_{n=1}^{\infty} \frac{\sin \left(n^{3} x\right)}{n^{2}}\). This series can be analyzed using the Weierstrass M-test, which states that if for each term in the series \(|a_n(x)| \leq M_n\) and the series \(\sum_{n=1}^{\infty} M_n\) converges, then the given series converges uniformly. We can use the inequality \(|\sin(\alpha)| \leq |\alpha|\) for any \(\alpha\), so we have:
\[|\sin(n^3 x)| \leq |n^3 x|\]
Thus \(|a_n(x)| \leq \frac{n^3 |x|}{n^2} = n|x|\). The series \(\sum_{n=1}^{\infty} n |x|\) diverges for all values of \(x\), so the Weierstrass M-test is inconclusive in this case.
2Step 2: Prove the given series converges
From the previous analysis, we couldn't show the convergence of the given series using the Weierstrass M-test. However, we can use the Dirichlet's test, which states that a series \(\sum_{n=1}^{\infty} a_n b_n\) converges if the following conditions are met:
1. \(\{a_n\}\) is a sequence of real numbers which decreases monotonically to zero.
2. The sequence of partial sums of \(\{b_n\}\) is bounded.
So we can rewrite our series as \(\sum_{n=1}^{\infty} \frac{1}{n^2} \sin(n^3 x)\). Here, \(a_n = \frac{1}{n^2}\) and \(b_n = \sin(n^3 x)\). It can be seen that the sequence \(a_n = \frac{1}{n^2}\) decreases monotonically to zero, satisfying the first condition of Dirichlet's test.
The second condition requires the partial sums of \(\{b_n\}\) to be bounded. We can rewrite \(b_n = \sin(n^3 x)\) as a sum of two sinusoidal functions, using the trigonometric identity \(\sin(a+b) = \sin(a) \cos(b) + \cos(a)\sin(b)\):
\[\sin(n^3 x) = \sin(n^3 x) - \sin((n-1)^3 x) + \sin((n-1)^3 x)\]
As the sum of two sinusoidal functions with different frequencies is also a sinusoidal function with a bounded amplitude, it follows that the sequence of partial sums of \(b_n\) is bounded. Therefore, the series converges for all values of \(x\) by Dirichlet's test.
3Step 3: Find the term-by-term derivative of the series
Now we find the term-by-term derivative of the series:
\[\frac{d}{d x}\left[\frac{\sin \left(n^{3} x\right)}{n^{2}}\right] = \frac{n^3 \cos(n^3 x)}{n^2} = n \cos(n^3 x)\]
4Step 4: Show that the term-by-term derivative diverges
To show that the term-by-term derivative diverges, we can use the Weierstrass M-test. For all \(x\), we have:
\[|n \cos(n^3 x)| \leq n\]
The series \(\sum_{n=1}^{\infty} n\) diverges, so by the Weierstrass M-test, the term-by-term derivative of the series \(\sum_{n=1}^{\infty} n \cos(n^3 x)\) diverges for all values of \(x\).
5Step 5: Discuss whether this contradicts Theorem 2
Theorem 2 states that if a series converges absolutely, then the series formed by term-by-term differentiation also converges absolutely. In this case, the given series does converge for all values of \(x\), but its term-by-term derivative does not. However, we did not show that the original series converges absolutely, only that it converges. Thus, there is no contradiction with Theorem 2.
Key Concepts
Weierstrass M-testDirichlet's TestTerm-By-Term DifferentiationAbsolute Convergence
Weierstrass M-test
The Weierstrass M-test is a valuable tool for determining if a series of functions converges uniformly. Here's how it works: you establish an upper limit or bound, known as \(M_n\), for each term of your series \(|a_n(x)|\). If the series \(\sum_{n=1}^{\infty} M_n\) converges, then the initial series also converges uniformly.
- You need each term \(|a_n(x)|\) to be less than or equal to \(M_n\).
- Then determine if the sum of all \(M_n\) values converges.
Dirichlet's Test
Dirichlet's test is another way to determine if a series converges. It is useful when the Weierstrass M-test doesn't provide an answer. Dirichlet's test checks two key conditions:
- The sequence \(\{a_n\}\) must decrease monotonically to zero.
- The partial sums of the sequence \(\{b_n\}\) must be bounded.
Term-By-Term Differentiation
Term-by-term differentiation involves differentiating each individual term in a series and forming a new series from these derivatives. Simply put, you differentiate each term separately and create a series from these differentiations.
- This process assumes certain conditions about convergence to remain valid.
- It helps analyze the convergence of transformed series or derivative forms of functions.
Absolute Convergence
Absolute convergence of a series means that the series remains convergent when we take the absolute value of each term. Mathematically, a series \(\sum_{n=1}^{\infty} a_n\) converges absolutely if \(\sum_{n=1}^{\infty} |a_n|\) converges.
- Absolute convergence guarantees regular convergence, but not the other way around.
- It ensures the series behaves well under operations like rearrangement and term-by-term differentiation.
Other exercises in this chapter
Problem 40
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