Problem 39
Question
(a) Show that \(\sum_{h=0}^{\infty} e^{-\alpha A}\) converges for cach \(\alpha > 0\) (b) Show that \(\sum_{k=0}^{\infty} k e^{-\omega k}\) converges for \(\operatorname{cach} \alpha\) ? 0 . (c) Show that, more generally, \(\sum_{k=0}^{\infty} k^{n} e^{-\alpha k}\) converges for cach nonnegative integer \(n\) and \(\operatorname{cach} \alpha > 0\)
Step-by-Step Solution
Verified Answer
In summary, we have shown the convergence of the given series:
(a) \(\sum_{h=0}^{\infty} e^{-\alpha A}\) converges for all \(\alpha > 0\) as it is a geometric series with \(|e^{-\alpha A}| \leq 1\).
(b) \(\sum_{k=0}^{\infty} k e^{-\omega k}\) converges for all \(\omega > 0\) using the comparison test with the sum of \(e^{-\omega k}\) from part (a).
(c) \(\sum_{k=0}^{\infty} k^{n} e^{-\alpha k}\) converges for all nonnegative integers \(n\) and \(\alpha>0\) by induction and the comparison test.
1Step 1: The sum of \(e^{-\alpha A}\)
Let's analyze the series given in part (a):\(\sum_{h=0}^{\infty} e^{-\alpha A}\)
Notice that this sum is a geometric series with the common ratio \(e^{-\alpha A}\). The geometric series converges if \(|e^{-\alpha A}|<1\).
Since \(A\geq0\) and \(\alpha>0\), \(|e^{-\alpha A}|\leq1\). Therefore, the series converges for all \(\alpha > 0\).
2Step 2: The sum of \(k e^{-\omega k}\)
Now let's look at part (b) and analyze the given series: \(\sum_{k=0}^{\infty} k e^{-\omega k}\)
To ensure convergence, we can use the comparison test:
\[
0 \leq k e^{-\omega k} \leq e^{-\omega k}
\]
We know that the sum \(\sum_{k=0}^{\infty} e^{-\omega k}\) converges from part (a), so according to the comparison test, the series \(\sum_{k=0}^{\infty} k e^{-\omega k}\) converges for all \(\omega > 0\).
3Step 3: The sum of \(k^n e^{-\alpha k}\) for nonnegative integer \(n\)
Finally, let's analyze part (c):\(\sum_{k=0}^{\infty} k^{n} e^{-\alpha k}\), where \(n\) is a nonnegative integer and \(\alpha > 0\).
We will use induction on \(n\). We have already shown the base case \(n=1\) in part (b).
Now, let's assume that the series \(\sum_{k=0}^{\infty} k^{n-1} e^{-\alpha k}\) converges for some nonnegative integer \(n-1\) and \(\alpha>0\). We want to show that the series \(\sum_{k=0}^{\infty} k^n e^{-\alpha k}\) converges as well.
As we did for part (b), we can use the comparison test to show that the series \(\sum_{k=0}^{\infty} k^n e^{-\alpha k}\) converges. Since for all \(k>2\),
\[
0 \leq \frac{k!}{(k-n)!} e^{-\alpha k} \leq k^n e^{-\alpha k}
\]
Note that the left side converges (\(k! e^{-\alpha k}\)) as shown by Stirling's approximation and the comparison test with the sum of \(e^{-\alpha k}\).
Therefore, by the comparison test, the sum \(\sum_{k=0}^{\infty} k^n e^{-\alpha k}\) converges for all nonnegative integers \(n\) and \(\alpha > 0\).
Key Concepts
Geometric SeriesComparison TestInduction MethodStirling's Approximation
Geometric Series
Geometric series are one of the foundational concepts in mathematics, particularly useful in identifying patterns in summations. The geometric series has a characteristic form:
In the exercise provided, the given series \(\sum_{h=0}^{\infty} e^{-\alpha A}\) is geometric, as each term is a multiple of \(e^{-\alpha A}\). Since \(\alpha > 0\), the expression \(e^{-\alpha A}\) results in a common ratio less than 1, ensuring the series converges.
- The first term of the series, often denoted as \(a\).
- A common ratio, \(r\), which is multiplied by the previous term to find the next.
In the exercise provided, the given series \(\sum_{h=0}^{\infty} e^{-\alpha A}\) is geometric, as each term is a multiple of \(e^{-\alpha A}\). Since \(\alpha > 0\), the expression \(e^{-\alpha A}\) results in a common ratio less than 1, ensuring the series converges.
Comparison Test
The comparison test is a handy tool for determining the convergence of infinite series, especially when the series itself is complex. This method relies on comparing the series in question with another series that is already known to converge or diverge.
Here's how it works:
Here's how it works:
- If \(0 \leq a_n \leq b_n\) for all \(n\), and \(\sum b_n\) converges, then \(\sum a_n\) also converges.
- Conversely, if \(a_n \geq b_n \geq 0\) for all \(n\), and \(\sum b_n\) diverges, then \(\sum a_n\) diverges too.
Induction Method
Induction is a powerful technique used in mathematics to prove statements for all natural numbers. It usually involves two main steps:
The base case is checked for \(n=1\) in part (b). Then, assuming convergence for \(n-1\), the series is shown to also converge for \(n\) by using similar techniques along with a comparison test.
- Base Case: Verify that the property holds for an initial natural number, usually \(n=1\).
- Inductive Step: Assume the property holds for \(n=k\) and then prove it for \(n=k+1\).
The base case is checked for \(n=1\) in part (b). Then, assuming convergence for \(n-1\), the series is shown to also converge for \(n\) by using similar techniques along with a comparison test.
Stirling's Approximation
Stirling's Approximation is a formula used to approximate large factorials. Its classic form is:\[ n! \approx \sqrt{2 \pi n} \left( \frac{n}{e} \right)^n \]This approximation becomes more accurate as \(n\) increases, which is particularly useful when dealing with series where factorial terms are involved and precise values are hard to compute.
In the exercise, this approximation aids in evaluating the convergence of series like \(\sum_{k=0}^{\infty} k^n e^{-\alpha k}\).
By using Stirling's approximation, proving convergence often becomes simpler as it allows certain terms to be bounded, making application of the comparison test feasible. This is crucial for determining that the exponential decay in \(e^{-\alpha k}\) can offset the growth of \(k^n\) as \(k\) becomes larger.
In the exercise, this approximation aids in evaluating the convergence of series like \(\sum_{k=0}^{\infty} k^n e^{-\alpha k}\).
By using Stirling's approximation, proving convergence often becomes simpler as it allows certain terms to be bounded, making application of the comparison test feasible. This is crucial for determining that the exponential decay in \(e^{-\alpha k}\) can offset the growth of \(k^n\) as \(k\) becomes larger.
Other exercises in this chapter
Problem 39
Find the Lagrange form of the remainder \(R_{n}(x)\). $$f(x)=\arctan x ; \quad n=2$$
View solution Problem 39
Determine whether the series converges or diverges. $$\frac{1}{4}+\frac{1 \cdot 3}{4 \cdot 7}+\frac{1 \cdot 3 \cdot 5}{4 \cdot 7 \cdot 10}+\frac{1 \cdot 3 \cdot
View solution Problem 39
Use a power series to estimate the integral within 0.0001. $$\int_{0}^{0.5} \frac{\ln (1+x)}{x} d x$$
View solution Problem 39
Find the interval of convergence. $$\frac{3 x^{2}}{4}+\frac{9 x^{4}}{9}+\frac{27 x^{6}}{16}+\frac{81 x^{8}}{25}+\cdots$$
View solution