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Mathematics 19 Online
OpenStudy (turingtest):

\[\lim_{n \rightarrow \infty}\frac{n}{\sqrt[n]{n!}}\]

OpenStudy (anonymous):

woah hmm \[\frac{1}{\sqrt[n]{\frac{n!}{n^n}}}\]

OpenStudy (anonymous):

\[\large\frac{1}{\sqrt[n]{\frac{n(n-1)(n-2)\ldots (n-n)}{\underbrace{n.n.n.n.n.n.n...}_{\text{n times}}}}}\]

OpenStudy (anonymous):

geometric mean of 1,2,...,n

OpenStudy (anonymous):

\[ \frac{1}{\sqrt[n]{1(1-\frac{1}{n})(1 - \frac{2}{n})\ldots 1}}\]

OpenStudy (anonymous):

\[\frac{1}{n} \to 0, n \to \infty\]

OpenStudy (anonymous):

these things are usually 'e' :D

OpenStudy (anonymous):

what is the answer btw? i think i will have to consider the case when factorial is in the middle \[\frac{n-\frac{n}{2}}{n}\]hmm i get 1 - 1/2 here is it zero? i don't think so i will have to redo it

OpenStudy (turingtest):

hmmm, do I want to say the answer? I don't think so, it spoils the fun, no? it's not zero or 1/2 though

OpenStudy (anonymous):

a better way would be \[\huge e^{\ln n - \frac{1}{n}*ln n!}\]

OpenStudy (turingtest):

yes it would :)

OpenStudy (anonymous):

i am only gonna solve the power now \[\ln n - \frac{1}{n} ( \ln n + \ln (n-1) + \ldots + \ln 0!) \]

OpenStudy (anonymous):

interesting answer

OpenStudy (turingtest):

can't you only do that e^blah trick for certain forms though? is this one of them?

OpenStudy (turingtest):

you found the answer imran?

OpenStudy (anonymous):

yes, but don't know how to get it

OpenStudy (turingtest):

right, my problem exactly Wolfram won't help me differentiate n! much, so I can't do l'Hospital...

OpenStudy (anonymous):

product of n terms as n->infinity is candidate for the e^ln(stuff) trick

OpenStudy (turingtest):

yes but I think it needs to be of the form\[1^{\infty}\]or something, right? I can't get it like that.

OpenStudy (anonymous):

how about ( n^n / n! ) ^ (1/n) = e ^ ln( same ) = e ^ ( (summation ln(k)) / n ) if that makes sense to you.

OpenStudy (turingtest):

which summation?

OpenStudy (turingtest):

and like I said, I'm not sure of the rules on when you can do the e^(something) trick. not always, right?

OpenStudy (anonymous):

turing the trick you are referring to is a special case. \[e^{\log_e{x}} = x \]or \[n^{\log_n x} = x \]is a general case

OpenStudy (turingtest):

I know that, I'm asking about Broken's proposed use of it here. Is it allowed yet, or do we need to alter the form first?

OpenStudy (anonymous):

\[n / \sqrt[n]{n!} = \sqrt[n]{ n^n / n! } = e^{\ln{\sqrt[n]{ n^n / n! }}} = e^{(\ln({n^n/n!}))/n}\] hasn't actually used any passing of limits through yet

OpenStudy (anonymous):

Hence e to the power of \[\frac{1}{N}\sum_{k=1}^{N}\ln(\frac{N}{k})\]

OpenStudy (anonymous):

I think it is easier to see as \[-\frac{1}{N}\sum_{k=1}^{N}\ln(\frac{k}{N})\]

OpenStudy (anonymous):

i don't like factorials in limit's problem

OpenStudy (anonymous):

compare that to the average value of the natural log between 0 and 1, or the integral of ln(x) from 0 to 1 ... Hence my assertion that the answer to the original limit was e^1 = e.

OpenStudy (anonymous):

(Integral of ln(x) using evenly partitioned Riemann sums I mean)

OpenStudy (anonymous):

\[+1 = -\int\limits_{0}^{1}\ln(x)dx = \lim_{n->\infty}-\frac{1}{n}\sum_{k=1}^{n}\ln(\frac{k}{n})\] assuming that I typeset that correctly.

OpenStudy (turingtest):

Nice, I'm convinced. Did you know the answer beforehand?

OpenStudy (anonymous):

Broken you know when you wrote: \[-\frac{1}{n}\sum_{k=1}^{n}\ln \left(\frac{n}{k}\right)\] could you possibly explain why you got this instead of: \[-\frac{1}{n}\sum_{k=1}^{n}\ln \left(\frac{n^n}{k}\right)\] Assuming you derived it from: \[\frac{1}{n} \ln \left(\frac{n^n}{n!}\right)\]

OpenStudy (anonymous):

sorry I didn't mean to write the minus there

OpenStudy (anonymous):

\[\ln(\frac{n^n}{n!}) = \ln(\frac{n}{n})(\frac{n}{n-1})(\frac{n}{n-2})...(\frac{n}{1})=\ln(\frac{n}{n})+\ln(\frac{n}{n-1})+...+\ln(\frac{n}{1})=\sum_{k=1}^{n}\ln(\frac{n}{k})\]

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