Analysis of Convergence for Series a) and b)

In summary, for the series $\displaystyle \sum\frac{1}{n!}\left(\frac{n}{e}\right)^n$ and $\displaystyle\sum\frac{(-1)^n}{n!}\left(\frac{n}{e}\right)^n$, we can use Stirling's formula to approximate the terms. By comparing the limits of the terms, we can determine that the first series diverges and the second series converges. Therefore, the first series diverges and the second series converges.
  • #1
alexmahone
304
0
Do the following series converge or diverge?

a) $\displaystyle \sum\frac{1}{n!}\left(\frac{n}{e}\right)^n$

b) $\displaystyle\sum\frac{(-1)^n}{n!}\left(\frac{n}{e}\right)^n$

My attempt:

a) $\displaystyle\frac{1}{n!}\left(\frac{n}{e}\right)^n\approx\frac{1}{\sqrt{2\pi n}}$ (Stirling’s formula)

$\displaystyle \sum\frac{1}{n!}\left(\frac{n}{e}\right)^n\approx \sum\frac{1}{\sqrt{2\pi n}}$

Since $\displaystyle\sum\frac{1}{\sqrt{2\pi n}}$ diverges, $\displaystyle \sum\frac{1}{n!}\left(\frac{n}{e}\right)$ also diverges.

b) $\displaystyle\frac{(-1)^n}{n!}\left(\frac{n}{e}\right)^n\approx\frac{(-1)^n}{\sqrt{2\pi n}}$ (Stirling’s formula)

$\displaystyle \sum\frac{(-1)^n}{n!}\left(\frac{n}{e}\right)^n\approx \sum\frac{(-1)^n}{\sqrt{2\pi n}}$

By Leibniz's test for alternating series, $\displaystyle\sum\frac{(-1)^n}{\sqrt{2\pi n}}$ converges.

So, $\displaystyle\sum\frac{(-1)^n}{n!}\left(\frac{n}{e}\right)^n$ also converges.
 
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  • #2
Is my solution correct?
 
  • #3
chisigma said:
Setting $\displaystyle a_{n}= \frac{1}{n!}\ (\frac{n}{e})^{n}$ You have...

$\displaystyle \ln a_{n}= n\ (\ln n -\ln e) -\ln n!= n\ (\ln n-1) - \sum_{k=1}^{n} \ln k$ (1)

Now You have...

$\displaystyle n\ (\ln n-1)= \int_{1}^{n} \ln x\ dx > \sum_{k=1}^{n} \ln k$ (2)

... so that is...

$\displaystyle \lim_{n \rightarrow \infty} \ln a_{n} >0 \implies \lim_{n \rightarrow \infty} a_{n} >1$ (3)

... and the necessary condition for convergence is not verified...

Kind regards

$\chi$ $\sigma$

But what's wrong with my solution?
 
  • #4
My previous post was wrong because I incorrectly wrote $\displaystyle \int_{1}^{n} \ln x\ dx > \sum_{k=1}^{n} \ln k$ and is $\displaystyle \int_{1}^{n} \ln x\ dx < \sum_{k=1}^{n} \ln k$...

Very sorry!... any thanks is absolutely a nonsense!...

Kind regards

$\chi$ $\sigma$
 
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  • #5
chisigma said:
Writing $\displaystyle \lim_{n \rightarrow \infty} \frac{\sqrt{2\ \pi\ n}}{n!}\ (\frac{n}{e})^{n}=1$ doesn't mean $\displaystyle \frac{1}{n!}\ (\frac{n}{e})^{n}= \frac{1}{\sqrt{2\ \pi\ n}}$...

Kind regards

$\chi$ $\sigma$

But aren't they approximately equal for large $n$?

---------- Post added at 03:27 AM ---------- Previous post was at 03:09 AM ----------

chisigma said:
My previous post was wrong because I incorrectly wrote $\displaystyle \int_{1}^{n} \ln x\ dx > \sum_{k=1}^{n} \ln k$ and is $\displaystyle \int_{1}^{n} \ln x\ dx < \sum_{k=1}^{n} \ln k$...

Very sorry!... any thanks is absolutely a nonsense!...

Kind regards

$\chi$ $\sigma$

Does that mean my solution is right?
 
  • #6
Alexmahone said:
But aren't they approximately equal for large $n$?

---------- Post added at 03:27 AM ---------- Previous post was at 03:09 AM ----------



Does that mean my solution is right?

Rewriting my previous post we have...

$\displaystyle \int_{1}^{n} \ln x\ dx - \sum_{k=1}^{n} \ln k = \sum_{k=1}^{n} \int_{k}^{k+1} (ln x - \ln (k+1))\ dx \sim - \sum_{k=1}^{n} \frac{1}{k+1}$

... so that is $\displaystyle \lim_{n \rightarrow \infty} a_{n}=0$ and Your solution is probably correct...

Kind regards

$\chi$ $\sigma$
 

FAQ: Analysis of Convergence for Series a) and b)

What is the definition of convergence for a series?

Convergence for a series refers to the behavior of the sum of an infinite sequence of numbers. A series is said to converge if the sum of its terms approaches a finite number as the number of terms increases.

What is the difference between absolute and conditional convergence?

Absolute convergence occurs when the sum of the absolute values of the terms in a series converges. Conditional convergence occurs when the sum of the terms in a series converges, but the sum of the absolute values of the terms diverges.

How can we determine if a series is convergent or divergent?

There are various tests that can be used to determine the convergence or divergence of a series, such as the comparison test, ratio test, and integral test. These tests involve evaluating the behavior of the series as the number of terms increases.

What is the importance of convergence in series analysis?

Convergence is important in series analysis because it allows us to determine if the sum of an infinite sequence of numbers has a finite value. This can provide insight into the behavior of mathematical equations and help in solving problems in various fields such as physics, engineering, and economics.

Can a series be both absolutely and conditionally convergent?

No, a series can only be either absolutely convergent or conditionally convergent. If a series is absolutely convergent, it is also conditionally convergent, but the opposite is not true. This means that if a series converges absolutely, the sum of its terms will also converge, but the converse is not necessarily true.

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