Infinite series convergence question:

Contingency
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Homework Statement


Does \sum _{ n=1 }^{ \infty }{ \frac { { \alpha }^{ n }{ n }! }{ { n }^{ n } } } converge \forall |\alpha |<e
and if so, how can I prove it?



Homework Equations


{ e }^{ x }=\sum _{ n=0 }^{ \infty }{ \frac { { x }^{ n } }{ n! } }


The Attempt at a Solution


In the case of e I get the strange and probably wrong \sum _{ n=1 }^{ \infty }{ \frac { { (\sum _{ n=0 }^{ \infty }{ \frac { 1 }{ n! } } ) }^{ n }{ n }! }{ { n }^{ n } } }
which seems to be the boundary between convergence and divergence for the series, but I have no idea how to actually make anything of this.
 
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Contingency said:

Homework Statement


Does \sum _{ n=1 }^{ \infty }{ \frac { { \alpha }^{ n }{ n }! }{ { n }^{ n } } } converge \forall |\alpha |<e
and if so, how can I prove it?



Homework Equations


{ e }^{ x }=\sum _{ n=0 }^{ \infty }{ \frac { { x }^{ n } }{ n! } }


The Attempt at a Solution


In the case of e I get the strange and probably wrong \sum _{ n=1 }^{ \infty }{ \frac { { (\sum _{ n=0 }^{ \infty }{ \frac { 1 }{ n! } } ) }^{ n }{ n }! }{ { n }^{ n } } }
which seems to be the boundary between convergence and divergence for the series, but I have no idea how to actually make anything of this.

Have you tried the ratio test for convergence?
 
Yup.
I tried it on \frac { { \alpha }^{ n }{ n }! }{ { n }^{ n } }
and ended up with: \lim _{ n\rightarrow \infty }{ \frac { { \alpha }^{ n }{ (n+1){ n }^{ n } } }{ { (n+1) }^{ n+1 } } } but I don't see anything relating alpha to e.. I also don't know how to calculate that limit, I'm guessing it's zero but that would mean it's independent of alpha(≠0)..

EDIT: typo correction:
\lim _{ n\rightarrow \infty }{ \frac { { \alpha }{ (n+1){ n }^{ n } } }{ { (n+1) }^{ n+1 } } }
 
Last edited:
I'll try to manipulate the expression to get e out of the form of (1+1/n)^n
 
ah, I did the above and my result is that for any alpha>e the ratio test yields r>1 and for any alpha<e the ratio test yields r<1. I'll think about r=1
 
Contingency said:
Yup.
I tried it on \frac { { \alpha }^{ n }{ n }! }{ { n }^{ n } }
and ended up with: \lim _{ n\rightarrow \infty }{ \frac { { \alpha }^{ n }{ (n+1){ n }^{ n } } }{ { (n+1) }^{ n+1 } } } but I don't see anything relating alpha to e.. I also don't know how to calculate that limit, I'm guessing it's zero but that would mean it's independent of alpha(≠0)..

You need absolute values around that, and I don't think you get ##\alpha^n## after you simplify the ratio. Check that.
 
Contingency said:

Homework Statement


Does \sum _{ n=1 }^{ \infty }{ \frac { { \alpha }^{ n }{ n }! }{ { n }^{ n } } } converge \forall |\alpha |&lt;e
and if so, how can I prove it?



Homework Equations


{ e }^{ x }=\sum _{ n=0 }^{ \infty }{ \frac { { x }^{ n } }{ n! } }


The Attempt at a Solution


In the case of e I get the strange and probably wrong \sum _{ n=1 }^{ \infty }{ \frac { { (\sum _{ n=0 }^{ \infty }{ \frac { 1 }{ n! } } ) }^{ n }{ n }! }{ { n }^{ n } } }
which seems to be the boundary between convergence and divergence for the series, but I have no idea how to actually make anything of this.

Use Stirling's formula for the asymptotic form of n!. You can even improve it to a rigorous inequality that holds for all n > 1 (even small values of n):
\sqrt{2\pi n} n^n e^{-n} &lt; n! &lt; \sqrt{2\pi n} n^n e^{\left(-n + \frac{1}{12n}\right)}.
Note: the left-hand quantity above is Stirling's asymptotic approximation to n!; the right-hand quantity is an improvement, and it is surprising just how good it is: for n = 2 we get 2! = 2, but RHS = 2.000652048, 5! = 120, RHS = 120.0026371, etc. Various "simple" proofs of these inequalities are available; my favourite one is in Feller, "Introduction to Probability Theory", Vol. 1, Wiley 1968.

RGV
 
@MLCKurtz
Yes, I obtained alpha without an exponent, made a typo. Didn't forget the absolute value. Thanks
@Ray Vickson
Thanks for that reading material! I think i'll stick to my simpler idea, considering I don't have justifications to apply Stirling's formula (haven't gotten around to it yet).
 

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